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Dissertations / Theses on the topic 'Medical systems'
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Andersson, Daniel, and Robert Wintersteller. "Utveckling av analysmodul till Zenicor Medical Systems EKG-system." Thesis, Linköping University, Department of Biomedical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-357.
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<p>The mainpart of this thesis is about the developing of a new analysis tool to be used in Zenicor Medical Systems AB ECG-system. The primary task of the system is to simplify the ECG survey for patients who suffers from different kinds of arrythmias, for example heart fibrillation. With this system is it possible for the patients to do their ECG survey by them self at home and then send the signal with their telephone or mobilphone to a server. The equipment used to do the survey is not bigger than you can have it in a pocket and this results in a bigger flexibility for the patient. A doctor can connect to the server and analys the ECG-curve and follow up the patients condition.</p>
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Tilbury, Julian Bernard. "Evaluation of intelligent medical systems." Thesis, University of Plymouth, 2002. http://hdl.handle.net/10026.1/2486.
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This thesis presents novel, robust, analytic and algorithmic methods for calculating Bayesian posterior intervals of receiver operating characteristic (ROC) curves and confusion matrices used for the evaluation of intelligent medical systems tested with small amounts of data. Intelligent medical systems are potentially important in encapsulating rare and valuable medical expertise and making it more widely available. The evaluation of intelligent medical systems must make sure that such systems are safe and cost effective. To ensure systems are safe and perform at expert level they must be tested against human experts. Human experts are rare and busy which often severely restricts the number of test cases that may be used for comparison. The performance of expert human or machine can be represented objectively by ROC curves or confusion matrices. ROC curves and confusion matrices are complex representations and it is sometimes convenient to summarise them as a single value. In the case of ROC curves, this is given as the Area Under the Curve (AUC), and for confusion matrices by kappa, or weighted kappa statistics. While there is extensive literature on the statistics of ROC curves and confusion matrices they are not applicable to the measurement of intelligent systems when tested with small data samples, particularly when the AUC or kappa statistic is high. A fundamental Bayesian study has been carried out, and new methods devised, to provide better statistical measures for ROC curves and confusion matrices at low sample sizes. They enable exact Bayesian posterior intervals to be produced for: (1) the individual points on a ROC curve; (2) comparison between matching points on two uncorrelated curves; . (3) the AUC of a ROC curve, using both parametric and nonparametric assumptions; (4) the parameters of a parametric ROC curve; and (5) the weight of a weighted confusion matrix. These new methods have been implemented in software to provide a powerful and accurate tool for developers and evaluators of intelligent medical systems in particular, and to a much wider audience using ROC curves and confusion matrices in general. This should enhance the ability to prove intelligent medical systems safe and effective and should lead to their widespread deployment. The mathematical and computational methods developed in this thesis should also provide the basis for future research into determination of posterior intervals for other statistics at small sample sizes.
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SAMAR, EL HELOU. "Evolutionary Design of Electronic Medical Record Systems." Kyoto University, 2019. http://hdl.handle.net/2433/244578.
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付記する学位プログラム名: デザイン学大学院連携プログラム<br>Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(情報学)<br>甲第22097号<br>情博第707号<br>新制||情||121(附属図書館)<br>京都大学大学院情報学研究科社会情報学専攻<br>(主査)教授 黒田 知宏, 教授 吉川 正俊, 教授 矢守 克也<br>学位規則第4条第1項該当
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Berg, Marc. "Rationalizing medical work decision support techniques and medical practices /." [Maastricht : Maastricht : Rijksuniversiteit Limburg] ; University Library, Maastricht University [Host], 1995. http://arno.unimaas.nl/show.cgi?fid=5791.
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Mulenga, Jacob S. "Intranet systems engineering for medical informatics." Thesis, Cranfield University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396480.
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Wadkins, David Allen. "Nanoparticles: nanoscale systems for medical applications." Thesis, University of Iowa, 2017. https://ir.uiowa.edu/etd/6008.
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The goal of this project was to develop a series of nano platforms for single cell analysis and drug delivery. Nanoparticles are a promising option to improve our medical therapies by controlling biodistribution and pharmacokinetics of therapeutics. Nanosystems also offer significant opportunity to improve current imaging modalities. The systems developed during this thesis work can be foundations for developing advanced therapies for obesity and improving our fundamental understandings of single cell behavior.
The first of the two systems we attempt to create was a drug delivery system that could selectively target adipose tissue to deliver uncoupling agents and drive browning of adipose tissue and associated weight loss. Protonophores have a history of significant toxic side effects in cardiac and neuronal tissues a recently discovered protonophore, but BAM-15, has been shown to have reduced cytotoxicity. We hypothesized that the altered biodistribution of BAM-15 encapsulated in a nanoparticle could provide systemic weight loss with minimized side effects.
The second system developed utilized quantum dots to create a fluorescent barcode that could be repeatedly identified using quantitative fluorescent emission readings. This platform would allow for the tracking of individual cells, allowing repeat interrogation across time and space in complex multicellular environments.
Ultimately this work demonstrates the process and complexity involved in developing nanoparticulate systems meant to interact with incredibly complex intracellular environments.
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Van, Wyk Gerrit Christian Burggraf. "Medicine and medical process as a learning system." Master's thesis, University of Cape Town, 1996. http://hdl.handle.net/11427/17214.
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Bibliography: pages 150-158.<br>Health care systems all over the world are in crisis. The presenting symptom is a cost spiral that is out of control. Money supply is finite, and if this problem continues the system will eventually collapse. There are a number of causes associated with the problem that are usually analysed by reduction, an approach based upon an assumption of simple linear causal relations. This study shows the problem to be the dialectic opposite, in other words these problems are all interrelated through complex causal interactions. Therefore, the health care system is a complex social system and solutions to its problems may be found in terms of the interactions in such a system. An investigation into the history of the health care system shows that the system started with a simple one on one interaction between patients and physicians. At the time of its initiation, very little empirical knowledge was available about illness. After the renaissance, this changed dramatically with a subsequent increase in the ability to diagnose, but also in the complexity to treat illness. However, modern beliefs about illness and illness processes do not reflect the complexity of this knowledge. Beliefs about both illness and knowledge contribute to the process of diagnosis (medical decision making, or problem solving). Furthermore, the expectations, wants, and needs of patients and physicians, as well as the decision environment, increases the complexity and difficulty of this decision making process. These decisions initiate treatment processes that are ultimately represented in the health care system as cost. Therefore, the patient-physician system as the simplest initial interaction is an event that ultimately affects cost. This system is not functioning efficiently at present and a system of inquiry that can improve it may make a contribution to an improved system, and therefore a saving in cost. Altering the diagnostic system from a linear into a circular process, in other words into a learning system, improves both decision making and the use of knowledge. However, an inquiring system is needed in addition that can enhance the rigour of this process. Charles West Churchman devoted a large part of his work to knowledge and the way we acquire knowledge, in other words inquiring systems. His belief is that problem solving ought to be approached in a comprehensive way in order to minimise the risk for making incorrect decisions. Furthermore, because decisions are made upon incomplete information, the solutions will be the cause of new problems. Therefore, problem solving is a never ending cycle of learning. In order to have as complete information as possible about the problem, we have to: know the history of the problem, take a broad view that includes the environment of the problem (use a systems approach), and consider all the alternative solutions to the problem. Virtually all of our knowledge is based upon underlying assumptions. In order to test the validity of the knowledge we use for inquiry and decision making, it is important to test the assumptions upon which the knowledge is based. This is valid in regard to empirical knowledge as well. Finally, according to Churchman, decision making has to be ethical. Therefore, we have to do all we can to ensure that the implementation of the decision will improve the situation, not only now, but also in the future. The application of Churchman's approach to the patient-physician interaction, assists in the synthesis of a more comprehensive world view of health care and illness. This study shows that this leads to important changes in the negative interactions identified as contributing to the health care crisis. In terms of Churchman's approach, the role of physicians can be seen as managers of illness. Their purpose is therefore to plan for the improvement of illness (the problem) in an ethical way. Such planning should include the values of patients in deciding upon appropriate treatment. It is the submission of this study that only a methodology that is able to address complex human systems, such as a systems approach, and a comprehensive philosophy of inquiry, such as that of C West Churchman is appropriate to address the current problems of the health care system.
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Erdil, Nadiye Özlem. "Systems analysis of electronic health record adoption in the U.S. healthcare system." Diss., Online access via UMI:, 2009.
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Thesis (Ph. D.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Systems Science and Industrial Engineering, 2009.<br>Includes bibliographical references.
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Nahapetian, Ani. "Algorithms for embedded systems with medical applications." Diss., Restricted to subscribing institutions, 2007. http://proquest.umi.com/pqdweb?did=1383485391&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.
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Lee, Donald Kwun Kuen. "Data-driven models for complex medical systems /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.
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Inam, Ul Haq Muhammad, and Rafiq Ahmed. "The implementation problems of Medical Information Systems." Thesis, Högskolan i Borås, Institutionen Handels- och IT-högskolan, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-20447.
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The use of medical information systems is now prevailing in the whole healthcare environment where the focus is on reducing clinical errors and supporting healthcare professionals in their routine tasks. Hospitals adopt medical information systems to facilitate their healthcare staff in providing efficient services to patients. Studies show that most of the time these systems cannot deliver according to their functional capacities due to certain implementation problems. In this research, we have indicated different implementation problems, their root causes and suggested proper approaches for solving these issues. In the textual analysis, we examined different technical, psychological and social problems that may arise during the implementation process. These theoretical findings have been validated through questionnaires and interviews with doctors, nurses, technicians and people involved in the development of medical information systems. The companies that are providing implementation services are also consulted to validate the theoretical facts. The results show that implementation problems are social and psychological rather than technical, so these problems should be solved with interpersonal, psychological and social skills. The focus of the implementation process should be on the social, psychological and technical effects to avoid any conflict. Reasonable user involvement in the decision making process, motivation and proper training reduces many implementation issues automatically. It is concluded from empirical results that development and implementation teams should have reasonable medical domain knowledge to diminish future implementation and maintenance hazards. The theoretical and empirical results show that data security issues are psychological as well as technical and should be dealt with by high priority.
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Song, Qingyang S. M. Massachusetts Institute of Technology. "A system theoretic approach to design safety into medical device." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/76510.
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Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 65-66).<br>The goal of this thesis is to investigate and demonstrate the application of a systems approach to medical device safety in China. Professor Leveson has developed an accident modeling framework called STAMP (Systems Theoretic Accident Modeling and Processes.) Traditional accident models typically focus on component failure; in contrast, STAMP includes interactions between components as well as social, economic, and legal factors. In this thesis, the accident of the artificial heart at a level II hospital in China was used as a test case to study whether Causal Analysis based on STAMP (CAST) is used to outline the interactions between the different medical device system components, identify the safety control structure in place, and understand how this control structure failed to prevent artificial heart accident in a Chinese hospital. The analysis suggested that further changes might be necessary to protect the Chinese public and so, based on the results of the CAST, a new set of systemic recommendations was proposed.<br>by Qingyang Song.<br>S.M.in Engineering and Management
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Chi, Chih-Lin Street William N. "Medical decision support systems based on machine learning." Iowa City : University of Iowa, 2009. http://ir.uiowa.edu/etd/283.
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Maro, Judith C. "Postmarket sequential database surveillance of medical products." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/79548.
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Thesis (Ph. D.)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 193-212).<br>This dissertation focuses on the capabilities of a novel public health data system - the Sentinel System - to supplement existing postmarket surveillance systems of the U.S. Food and Drug Administration (FDA). The Sentinel System is designed to identify and assess safety risks associated with drugs, therapeutic biologics, vaccines, and medical devices that emerge post-licensure. Per the initiating legislation, the FDA must complete a priori evaluations of the Sentinel System's technical capabilities to support regulatory decision-making. This research develops qualitative and quantitative tools to aid the FDA in such evaluations, particularly with regard to the Sentinel System's novel sequential database surveillance capabilities. Sequential database surveillance is a "near real-time" sequential statistical method to evaluate pre-specified exposure-outcome pairs. A "signal" is detected when the data suggest an excess risk that is statistically significant. The qualitative tool - the Sentinel System Pre- Screening Checklist - is designed to determine whether the Sentinel System is well suited, on its face, to evaluate a pre-specified exposure-outcome pair. The quantitative tool - the Sequential Database Surveillance Simulator - allows the user to explore virtually whether sequential database surveillance of a particular exposure-outcome pair is likely to generate evidence to identify and assess safety risks in a timely manner to support regulatory decision-making. Particular attention is paid to accounting for uncertainties including medical product adoption and utilization, misclassification error, and the unknown true excess risk in the environment. Using vaccine examples and the simulator to illustrate, this dissertation first demonstrates the tradeoffs associated with sample size calculations in sequential statistical analysis, particularly the tradeoff between statistical power and median sample size. Second, it demonstrates differences in performance between various surveillance configurations when using distributed database systems. Third, it demonstrates the effects of misclassification error on sequential database surveillance, and specifically how such errors may be accounted for in the design of surveillance. Fourth, it considers the complexities of modeling new medical product adoption, and specifically, the existence of a "dual market" phenomenon for these new medical products. This finding raises non-trivial generalizability concerns regarding evidence generated via sequential database surveillance when performed immediately post-licensure.<br>by Judith C. Maro.<br>Ph.D.
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Basu, Probal, and Eun Kyun Kim. "Customer segmentation in the medical devices industry." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40110.
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Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2007.<br>Includes bibliographical references (p. 73-76).<br>This thesis addresses Company X's concerns about its product shipment options. The company ships over 70% of its products to its customers using the primary service provider that ensures that the product is at the customer site by 10:30 AM next day. As per the understanding with its customers, the company, absorbs the cost of premium shipping and does not pass it on to most of its customers. The company believes that this priority service is a source of competitive advantage that helps it get customer loyalty and thereby increases sales. However it is not a normal industry practice to provide this service free to the customers. Keeping in mind this enormous cost burden, Company X wants to minimize this cost. Medical device sales are non-seasonal and do not show promotional effects. We analyzed data for the months of June and October, 2006 as a part of our research. The objective of our data analysis was to validate the proposed approaches we reviewed as a basis for proposing ways to segment customers for improving service while reducing cost. We proposed three types of segmentation: by region, by order method and by division. Segmentation by region looks at dividing the customers by into 4 regions based on their location.<br>(cont.) Segmentation by ordering method splits the customers in terms of whether they order using phone, fax or EDI while segmentation by division breaks up the customer base in terms of the various divisions the company has. Our study revealed that the company can expect to save over 3 million dollars annually by not offering this service free of charge to its customers. If customers are not convinced that the lower level of service meets their needs, they may pay for use of premium shipping. We demonstrate that the lower level of service will likely be just as effective and hence the company can guarantee that the product would reach the customer on time. Given the criticality of the parts that the company ships, it is advised to take its customers into confidence before making major policy changes.<br>by Probal Basu [and] Eun Kyun Kim.<br>M.Eng.in Logistics
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Chi, Chih-Lin. "Medical decision support systems based on machine learning." Diss., University of Iowa, 2009. https://ir.uiowa.edu/etd/283.
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This dissertation discusses three problems from different areas of medical research and their machine learning solutions. Each solution is a distinct type of decision support system. They show three common properties: personalized healthcare decision support, reduction of the use of medical resources, and improvement of outcomes.
The first decision support system assists individual hospital selection. This system can help a user make the best decision in terms of the combination of mortality, complication, and travel distance. Both machine learning and optimization techniques are utilized in this type of decision support system. Machine learning methods, such as Support Vector Machines, learn a decision function. Next, the function is transformed into an objective function and then optimization methods are used to find the values of decision variables to reach the desired outcome with the most confidence.
The second decision support system assists diagnostic decisions in a sequential decision-making setting by finding the most promising tests and suggesting a diagnosis. The system can speed up the diagnostic process, reduce overuse of medical tests, save costs, and improve the accuracy of diagnosis. In this study, the system finds the test most likely to confirm a diagnosis based on the pre-test probability computed from the patient's information including symptoms and the results of previous tests. If the patient's disease post-test probability is higher than the treatment threshold, a diagnostic decision will be made, and vice versa. Otherwise, the patient needs more tests to help make a decision. The system will then recommend the next optimal test and repeat the same process.
The third decision support system recommends the best lifestyle changes for an individual to lower the risk of cardiovascular disease (CVD). As in the hospital recommendation system, machine learning and optimization are combined to capture the relationship between lifestyle and CVD, and then generate recommendations based on individual factors including preference and physical condition. The results demonstrate several recommendation strategies: a whole plan of lifestyle changes, a package of n lifestyle changes, and the compensatory plan (the plan that compensates for unwanted lifestyle changes or real-world limitations).
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Nyström, Mikael. "Enrichment of Terminology Systems for Use and Reuse in Medical Information Systems." Doctoral thesis, Linköpings universitet, Medicinsk informatik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-58621.
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Electronic health record systems (EHR) are used to store relevant heath facts about patients. The main use of the EHR is in the care of the patient, but an additional use is to reuse the EHR information to locate and evaluate clinical evidence for treatments. To efficiently use the EHR information it is essential to use appropriate methods for information compilations. This thesis deals with use of information in medical terminology systems and ontologies to be able to better use and reuse EHR information and other medical information. The first objective of the thesis is to examine if word alignment on bilingual English-Swedish rubrics from five medical terminology systems can be used to build a bilingual dictionary. A study found that it was possible to generate a dictionary with 42 000 entries containing a high proportion of medical entries using word alignment. The method worked best using sets of rubrics with many unique words that are consistently translated. The dictionary can be used as a general medical dictionary, for use in semi-automatic translation methods, for use in cross-language information retrieval systems, and for enrichment of other terminology systems. The second objective of the thesis is to explore how connections from existing terminology systems and information models to SNOMED CT and the structure in SNOMED CT can be used to reuse information. A study examined whether the primary health care diagnose terminology system KSH97-P can obtain a richer structure using category and chapter mappings from KSH97-P to SNOMED CT and the structure in SNOMED CT. The study showed that KSH97-P can be enriched with a poly-hierarchical chapter division and additional attributes. The richer structure was used to compile statistics in new manners that showed new views of the primary care diagnoses. A literature study evaluated which kinds of information compilations those are necessary to create graphical patient overviews based on information from EHRs. It was found that a third of the patient overviews can have their information needs satisfied using compilations based on SNOMED CT encodings of the information entities in the EHR and the structure in SNOMED CT. The other overviews also need access to individual values in the EHR. This can be achieved by using well-defined information models in the EHR.
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Balgos, Vincent H. "A systems theoretic application to design for the safety of medical diagnostic devices." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/76814.
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Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2012.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 87-89).<br>In today's environment, medical technology is rapidly advancing to deliver tremendous value to physicians, nurses, and medical staff in order to support them to ultimately serve a common goal: provide safe and effective medical care for patients. However, these complex medical systems are contributing to the increasing number of healthcare accidents each year. These accidents present unnecessary risk and injury to the very population these systems are designed to help. Thus the current safety engineering techniques that are widely practiced by the healthcare industry during medical system development are inadequate in preventing these tragic accidents. Therefore, there is a need for a new approach to design safety into medical systems. This thesis demonstrated that a holistic approach to safety design using the Systems Theoretic Accident Model and Process (STAMP) and Causal Analysis based on STAMP (CAST) was more effective than the traditional, linear chain-of-events model of Failure Mode Effects and Criticality Analysis (FMECA). The CAST technique was applied to a medical case accident involving a complex diagnostic analyzer system. The results of the CAST analysis were then compared to the original FMECA hazards. By treating safety as a control problem, the CAST analysis was capable of identifying an array of hazards beyond what was detected by the current regulatory approved technique. From these hazards, new safety design requirements and recommendations were generated for the case system that could have prevented the case accident. These safety design requirements can also be utilized in new medical diagnostic system development efforts to prevent future medical accidents, and protect the patient from unnecessary harm.<br>by Vincent H. Balgos.<br>S.M.in Engineering and Management
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Li, Tieyu. "Systems Theoretic Accident Model and Process application : quality control in medical device manufacturing." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/90689.
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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, June 2013.<br>Cataloged from PDF version of thesis. "September 2012."<br>Includes bibliographical references (pages 102-103).<br>The goal of medical device industry is to provide patients and healthcare professionals effective, reliable, safe and affordable products. However, due to the dynamic and competitive operation and business environment, most manufacturers did not always attain this goal. It is a challenge to balance the demands of meeting government regulations and containing production costs, in an effort to produce the most effective, reliable and safest medical devices. The increasing complexity on product structures, production process and usage context make this task even more formidable. The increase in serious adverse events has outpaced industry growth by 8 % since 2001[1], which reflects the insufficiency of traditional quality control measures. The disastrous consequences of quality hazards usually have profound impact on customers, manufacturers, and communities. Therefore, it is imperative to look for a better way to achieve effective quality control in medical device industry. The purpose of the thesis is to compare the traditional quality control measures, which are now widely adopted in quality systems of medical device industry for designing and development, process control and non-conformance handling, with the approach of Systems Theoretic Accident Model and Process (STAMP) based System-Theoretic Process Analysis (STPA) method. Through the case study on real quality issue in manufacturing control, this work analyzes the current states of complex manufacturing process controls that are designed by utilizing traditional principles and tools, and demonstrates the improvement after the STPA techniques was applied to the same cases. The advantages of STPA technique is to model the process to system control structure without oversimplifying any possible influencing factors, and then examine the links an interaction among these factors to reveal what constraints need to be installed and are followed to ensure that the system performs in safe zone and deliver the expected outcomes. This approach can effectively reveal hidden defects and dangers in system that the traditional measures are not able to detect, and thus is very helpful to the high-stake industry such as medical device manufacturing to prevent potential serious adverse events and protect patients from injuries caused by accidents of quality hazards.<br>by Tieyu Li.<br>S.M. in Engineering and Management
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Abbod, Maysam Fadhel. "Supervisory intelligent control for industrial and medical systems." Thesis, University of Sheffield, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295758.
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Delgado, Javier. "Scheduling Medical Application Workloads on Virtualized Computing Systems." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/633.
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This dissertation presents and evaluates a methodology for scheduling medical application workloads in virtualized computing environments. Such environments are being widely adopted by providers of “cloud computing” services. In the context of provisioning resources for medical applications, such environments allow users to deploy applications on distributed computing resources while keeping their data secure. Furthermore, higher level services that further abstract the infrastructure-related issues can be built on top of such infrastructures. For example, a medical imaging service can allow medical professionals to process their data in the cloud, easing them from the burden of having to deploy and manage these resources themselves.
In this work, we focus on issues related to scheduling scientific workloads on virtualized environments. We build upon the knowledge base of traditional parallel job scheduling to address the specific case of medical applications while harnessing the benefits afforded by virtualization technology. To this end, we provide the following contributions: An in-depth analysis of the execution characteristics of the target applications when run in virtualized environments. A performance prediction methodology applicable to the target environment. A scheduling algorithm that harnesses application knowledge and virtualization-related benefits to provide strong scheduling performance and quality of service guarantees.
In the process of addressing these pertinent issues for our target user base (i.e. medical professionals and researchers), we provide insight that benefits a large community of scientific application users in industry and academia.
Our execution time prediction and scheduling methodologies are implemented and evaluated on a real system running popular scientific applications. We find that we are able to predict the execution time of a number of these applications with an average error of 15%. Our scheduling methodology, which is tested with medical image processing workloads, is compared to that of two baseline scheduling solutions and we find that it outperforms them in terms of both the number of jobs processed and resource utilization by 20-30%, without violating any deadlines. We conclude that our solution is a viable approach to supporting the computational needs of medical users, even if the cloud computing paradigm is not widely adopted in its current form.
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Wani, Bhavika. "Systems Engineering of a Medical Emergency Drone – AmbiFly." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1613740749331087.
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Carpenter, William K. "Design of medical waste treatment systems employing bioremediation." Thesis, Virginia Tech, 1992. http://hdl.handle.net/10919/42615.
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The design and development of a system for disinfecting medical waste at the site of origin is presented. Investigation of the current commercial systems that accomplish this task shows that they all expose the waste to physical conditions that are harmful to all forms of life. Further, most are very expensive to install and to operate. A recently developed biochemical process promises to effectively inactivate harmful pathogenic organisms economically and without the danger of extreme heat or poisonous chemicals.
The biochemical process is not yet fully developed. Nonetheless, the development of a marketable system to take advantage of this technology has been initiated. The motivation for developing this technology and the particular system that will employ it is presented.
A general overview of the system and components is presented. Previous and suggested future testing strategies are explained. Component interactions and process control are described.<br>Master of Science
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Shafei, Yasser. "Unifying the Medical System in Saudi Arabia: Bringing Saudi Arabia to the forefront of Medical Technology in the Middle East." Digital Commons at Loyola Marymount University and Loyola Law School, 2015. https://digitalcommons.lmu.edu/etd/332.
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Saudi Arabia is the biggest Arab state in the Middle East. The Kingdom has a total population of about 30 million people of which about 29.4% are less than 15 years old, 67.6% are between 15 and 64 years old, and 3% are over 65 years old. This creates a need for sophisticated infrastructure that is able to cater to the needs of an aging population, especially in big cities. Despite the fact that the country is divided into 13 provinces, about 60% of the population lives in only three provinces, which are Jeddah, Riyadh and Dammam. Unfortunately, the medical system of the country has become obsolete and, from my own experience of being born and raised in the Kingdom, I believe time has come to bring changes to it if we want to remain among the leaders of the Arabian Peninsula. Through this project, I will highlight the current medical system in Saudi Arabia and explain how I can apply the System Engineering process in order to create a fantastic system that will facilitate the organization and hasten the availability of medical data to medical practitioners.
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Hillstrom, Nichole L. (Nichole Leigh), and Renato A. Malabanan. "Strategic inventory management of externally sourced medical devices." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81099.
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Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 59).<br>The purpose of this research was to determine inventory strategies for externally sourced medical devices. In the medical device industry, the desire for high levels of customer service often results in less than optimal inventory levels. In this study, we analyzed the details of the current inventory model utilized by the medical device company. In assigning appropriate inventory levels, we determined that key inputs were not regarded. When evaluating inventory levels, it was determined that pipeline inventory should be removed from the target on hand inventory levels if inventory ownership occurs upon receipt. When calculating safety stock, we determined that supply variability should be incorporated into the safety stock formula and extra buffers currently in place should be removed. In addition, a more robust measure of demand variability such as the Root Mean Squared Error (RMSE) or the Mean Absolute Percent Error (MAPE) should be incorporated into the formula instead of the use of the maximum of standard deviation of demand and standard deviation of forecast. Also, a gap was identified between the customer service safety factor used in the safety stock formula and the measurement of customer service by the company. Following the analysis of the current inventory modeling approach, we segmented the medical device SKU's based on key factors that drive inventory: demand, lead time, criticality and customer service. We also redefined the model used to determine slow moving inventory levels by incorporating the lead time of the part in setting cycle and safety stock levels and simulating the results to validate the relationships between the various inventory drivers. The application of the methodologies, concepts and findings in this research covering externally sourced medical devices can be extended to other subsidiaries and other industries.<br>by Nichole L. Hillstrom and Renato A. Malabanan.<br>M.Eng.in Logistics
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Arad, Ron 1973. "Sterilization resource forecasting in the medical devices industry." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33333.
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Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2005.<br>Includes bibliographical references (leaf 73).<br>Sterilization is an example of a procedure that has been outsourced by medical device companies. Sterilization is required for all medical devices and the process used is based on product type. As demand for medical devices increases, production is ramping up, and the need for additional sterilization capacity increases. The time required to build more sterilization capacity can be between six to nine months, and therefore companies are looking into their future production to estimate when will be the right time to start building more capacity. This thesis analyzes the change in sterilization capacity utilization using a simulation model. The model replicates the current production distribution based on data provided from the sterilization facility.<br>y Ron Arad.<br>M.Eng.in Logistics
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Bai, Xinye, and Yaniv Rosenberg. "Improving supply chain agility of a medical device Manufacturer." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99802.
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Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 68-69).<br>This thesis focuses on a medical device manufacturer, DeCo, which offers surgical instruments to customers at no cost in order to facilitate the sale of implantable products that require the use of such instruments. DeCo is facing challenges in managing the supply chain for these outsourced instruments, such as long lead times, inaccurate forecasting, and excess inventory. Deco is interested in building a more responsive supply chain. To this end, our thesis investigated strategies to increase the supply chain agility by realizing opportunities in information flows, material movement, and channel alignment to achieve shorter lead time, lower inventory levels, and higher levels of service. We conducted interviews and analyzed forecast, inventory, and lead time data files to evaluate the company's supply chain agility in terms of key attributes such as: Inventory management, supply chain visibility, forecast, distribution channel management, supplier manufacturing flexibility, forecast, level of service, lead-time, and product lifecycle. Gaps between the current state and an agile supply chain were identified, and recommendations were made based on these weaknesses. Gaps in the supply chain were divided into three categories: information barriers, operational inflexibilities, and supply chain misalignments. Similarly, our recommendations were broken up into three main groups: Distributor strategies, supplier strategies, and DeCo's practices. By improving supply chain visibility, Deco can cut lead time to customers and significantly lower inventory. By gaining operational flexibility, DeCo can cut lead time from suppliers by 50%, avoid excess ordering due to minimum order quantity, and cut cost per unit. Key recommendations to achieve agility were to build a database of inventory at distributors' warehouses and implement a process to ship instruments between these warehouses; and to work with suppliers to build dedicated capacity on the production floor.<br>by Xinye Bai and Yaniv Rosenberg.<br>M. Eng. in Logistics
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Zelkha, Sassan. "Benchmarking of a medical device company's product development process." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/79426.
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Thesis (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, 2012.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (p. 88-90).<br>In todays' global economy, having a lean operation is no longer considered a competitive edge; rather has become the new necessity and norm [15]. The new source of this competitive edge is innovation [15]. What sets an organization apart from its competitors is the ability to develop products that constantly meet customers' demands. An organization must have a New Product Development Process (NPDP) that enhances, expedites and fosters development of innovative products on consistent basis in order to tie innovation to market success. Many organizations have a difficult time determining whether or not the NPDP they are using is adequate because there are no standard methods or processes that organization can use to assess their NPDP [16]. In order to assist a specific medical device organization to assess its NPDP, a partnership with Performance Measure Group (PMG) was established. PMG is a leader in benchmarking and performance measurement. This thesis gives insight into the various new product development and benchmarking processes that are in practice today. It also explores the challenges and benefits associated with conducting benchmarking. Finally, this thesis reveals some of the challenges that this particular medical device company confronts with their NPDP.<br>by Sassan Zelkha.<br>S.M.
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Crook, Nigel T. "The theory of explanation applied to medical expert systems." Thesis, Oxford Brookes University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303194.
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Yu, Hongliang. "Automatic Rigid and Deformable Medical Image Registration." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-050905-100341/.
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Eapen, Arun George. "Application of Data mining in Medical Applications." Thesis, University of Waterloo, 2004. http://hdl.handle.net/10012/772.
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Abstract
Data mining is a relatively new field of research whose major objective is to acquire knowledge from large amounts of data. In medical and health care areas, due to regulations and due to the availability of computers, a large amount of data is becoming available. On the one hand, practitioners are expected to use all this data in their work but, at the same time, such a large amount of data cannot be processed by humans in a short time to make diagnosis, prognosis and treatment schedules. A major objective of this thesis is to evaluate data mining tools in medical and health care applications to develop a tool that can help make timely and accurate decisions.
Two medical databases are considered, one for describing the various tools and the other as the case study. The first database is related to breast cancer and the second is related to the minimum data set for mental health (MDS-MH). The breast cancer database consists of 10 attributes and the MDS-MH dataset consists of 455 attributes.
As there are a number of data mining algorithms and tools available we consider only a few tools to evaluate on these applications and develop classification rules that can be used in prediction. Our results indicate that for the major case study, namely the mental health problem, over 70 to 80% accurate results are possible.
A further extension of this work is to make available classification rules in mobile devices such as PDAs. Patient information is directly inputted onto the PDA and the classification of these inputted values takes place based on the rules stored on the PDA to provide real time assistance to practitioners.
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Tillapaugh, Bennet Howd. "Indirect camera calibration in a medical environment /." Online version of thesis, 2008. http://hdl.handle.net/1850/7900.
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Samost, Aubrey. "A systems approach to patient safety : preventing and predicting medical accidents using systems theory." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99329.
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Thesis: S.M., Massachusetts Institute of Technology, Engineering Systems Division, 2015.<br>"June 2015." Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 55-57).<br>Patient safety has become a critical concept in healthcare as clinicians seek to provide quality healthcare to every patient in a healthcare system that has grown far more complex than the days of the independent doctor and his black bag making house calls. Accidents in present-day healthcare systems are complicated, with environmental factors, interactions between clinicians, and the pressures exerted by managerial decisions all contributing to these medical mishaps. Despite this complexity, accidents are analyzed using simplistic and outdated techniques modeling systems as mere linear chains of events, when the reality lies far from those neat cause and effect relationships. Further compounding efforts to promote patient safety is the reliance on reactive approaches to safety, waiting for accidents to occur before enacting changes, like a dangerous game of whack-a-mole. What little work is done in prospective hazard analysis tends to be concentrated in niche areas and relies heavily on older analytic techniques. This thesis demonstrates the use of systems theory based accident and hazard analysis techniques, CAST and STPA respectively, in healthcare systems. It shows proof of concept applications in two distinct fields of healthcare, accident analyses in cardiac surgery and a prospective hazard analysis in a radiation oncology process. These techniques were very amenable to adaptation to healthcare applications. The accident analyses a rich set of accident causal factors leading to a large number of strong design options to prevent future accidents. The hazard analysis identified 84 potential unsafe controls and over 200 possible causal scenarios requiring a design change to create a safer system. This work sets up future work into direct comparisons with other hazard and accident analysis techniques applied in the healthcare domain as well as larger scale studies to understand the potential impact on patient safety. Finally, this work highlights the growing role for system and safety engineers in the healthcare field to help deal with the complexity of ensuring that every patient receives safe and effective healthcare.<br>by Aubrey Samost.<br>S.M.
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Liu, Chaomei. "Traditional Chinese medical clinic system." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2517.
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The Chinese Medical Clinic System is designed to help acupuncturists and assistants record and store information. This system can maintain and schedule appointments and view patient diagnoses effectively. The system will be implemented on a desktop PC connected to the internet to facilitate the acupuncturists record of information.
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Ram, Geetha Raghu Carleton University Dissertation Engineering Electrical. "The design of a medical knowledge base system for ophthalmologists." Ottawa, 1988.
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Jones, Jonathan-Lee. "2D and 3D segmentation of medical images." Thesis, Swansea University, 2015. https://cronfa.swan.ac.uk/Record/cronfa42504.
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Cardiovascular disease is one of the leading causes of the morbidity and mortality in the western world today. Many different imaging modalities are in place today to diagnose and investigate cardiovascular diseases. Each of these, however, has strengths and weaknesses. There are different forms of noise and artifacts in each image modality that combine to make the field of medical image analysis both important and challenging. The aim of this thesis is develop a reliable method for segmentation of vessel structures in medical imaging, combining the expert knowledge of the user in such a way as to maintain efficiency whilst overcoming the inherent noise and artifacts present in the images. We present results from 2D segmentation techniques using different methodologies, before developing 3D techniques for segmenting vessel shape from a series of images. The main drive of the work involves the investigation of medical images obtained using catheter based techniques, namely Intra Vascular Ultrasound (IVUS) and Optical Coherence Tomography (OCT). We will present a robust segmentation paradigm, combining both edge and region information to segment the media-adventitia, and lumenal borders in those modalities respectively. By using a semi-interactive method that utilizes "soft" constraints, allowing imprecise user input which provides a balance between using the user's expert knowledge and efficiency. In the later part of the work, we develop automatic methods for segmenting the walls of lymph vessels. These methods are employed on sequential images in order to obtain data to reconstruct the vessel walls in the region of the lymph valves. We investigated methods to segment the vessel walls both individually and simultaneously, and compared the results both quantitatively and qualitatively in order obtain the most appropriate for the 3D reconstruction of the vessel wall. Lastly, we adapt the semi-interactive method used on vessels earlier into 3D to help segment out the lymph valve. This involved the user interactive method to provide guidance to help segment the boundary of the lymph vessel, then we apply a minimal surface segmentation methodology to provide segmentation of the valve.
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Nunna, Shinjini. "Using Association Analysis for Medical Diagnoses." Scholarship @ Claremont, 2016. http://scholarship.claremont.edu/scripps_theses/808.
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In order to fully examine the application of association analysis to medical data for the purpose of deriving medical diagnoses, we survey classical association analysis and approaches, the current challenges faced by medical association analysis and proposed solutions, and finally culminate this knowledge in a proposition for the application of medical association analysis to the identification of food intolerance. The field of classical association analysis has been well studied since its introduction in the seminal paper on market basket research in the 1990's. While the theory itself is relatively simple, the brute force approach is prohibitively expensive and thus, creative approaches utilizing various data structures and strategies must be explored for efficiency. Medical association analysis is a burgeoning field with various focuses, including diagnosis systems and gene analysis. There are a number of challenges faced in the field, primarily stemming from characteristics of analysis of complex, voluminous and high dimensional medical data. We examine the challenges faced in the pre-processing, analysis and post-processing phases, and corresponding solutions. Additionally, we survey proposed measures for ensuring the results of medical association analysis will hold up to medical diagnosis standards. Finally, we explore how medical association analysis can be utilized to identify food intolerances. The proposed analysis system is based upon a current method of diagnosis used by medical professionals, and seeks to eliminate manual analysis, while more efficiently and intelligently identifying interesting, and less obvious patterns between patients' food consumption and symptoms to propose a food intolerance diagnosis.
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Bean, Richard S. "Analysis of user interface in medical report generation." [Gainesville, Fla.] : University of Florida, 2001. http://purl.fcla.edu/fcla/etd/UFE0000304.
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Thesis (M.S.)--University of Florida, 2001.<br>Title from title page of source document. Document formatted into pages; contains viii, 61 p.; also contains graphics. Includes vita. Includes bibliographical references.
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Wu, Xi. "Ontology-driven Web-based Medical Image Sharing Interface for Epilepsy Research." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1496660866436638.
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Williams, David C. (David Charles). "Observations of medical professionals' interactions with an intelligent tutoring system." Thesis, McGill University, 1990. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=59588.
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Intelligent tutoring systems (ITS) are expert systems united with computer-aided instruction. The psychological issue of human-computer interfacing combines aspects of education, cognitive science, human performance and psycho-sociolinguistics. This study presented a situation in which physicians used their reasoning to solve a computer-simulated medical case, embedded in the NEOMYCIN ITS. Experiments were designed to assess how their anthropomorphisation of the systems affected their medical reasoning in a complex ill-defined problem-solving domain. The study examines the subjects' interpretation of textual case materials, specifically their ascription of meaning and intelligibility to the form and usage of natural language. The results indicate that these factors affect their interpretation, not only of case materials, but also of their evaluation of the program's medical reasoning. This has implications for the interactive man-machine interface and its relationship to interpersonal communication is discussed.
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Halvorsrød, Thomas Moe. "On Low Power, Analog Modules for Medical Ultrasound Imaging Systems." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for elektronikk og telekommunikasjon, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-11204.
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Grünstein, Dan [Verfasser]. "Carbohydrate systems for biosensing, imaging, and medical applications / Dan Grünstein." Berlin : Freie Universität Berlin, 2013. http://d-nb.info/1032559098/34.
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Panse, Frederik. "Performance evaluation of 2D sensors for medical navigation camera systems." Thesis, KTH, Skolan för teknik och hälsa (STH), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-158881.
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Abstract Stryker’s FP6000 is the currently most accurate medical navigation camera on the market. This high-performance system consists of three one-dimensional sensors. An evaluation is presented, that analyzes, if it is possible to design a camera based on 2D sensors, that satisfies the same accuracy as the FP6000 camera, but is designed of smaller dimensions, reduced weight and lower cost. For the LED localization a glass-substrate with a certain pattern is placed in front of the 2D sensor. Within the glass-material there are always local inhomogeneities present, that influence the measurements. One hypothesis is, that the influence of those inhomogeneities can be lowered by increasing the number of pattern elements. In this way, the accuracy of the 2D sensors may be improved up to a certain level. Furthermore, a medical navigation camera, that is designed with multiple 2D sensors, represents an overdetermined system. It is analyzed, how strongly the RMS error for a camera based on multiple 2D sensors can be decreased by exploiting the concept of system over-determination. On a test bench the influence of different pattern elements on the accuracy of various 2D sensors was evaluated. A Matlab code simulated the RMS error of a camera system, that localizes LED positions with the tested 2D sensors. In this implementation, overdetermined problems were solved through a combination of linear triangulation and bundle adjustment. The accuracy tests confirmed, that the part of the systematic error, that results from local inhomogeneities within the glass-material, could be diminished with 30 holes inside the pattern. As a result of this, the accuracy of the 2D sensors was improved. However, none of the tested sensors was accurate enough for the design of a camera of small dimensions and low cost, that localizes LED positions with the same accuracy than the FP6000.
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Chang, Jaime. "Medication concepts, records, and lists in electronic medical record systems." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35551.
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Thesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology, 2006.<br>Includes bibliographical references.<br>A well-designed implementation of medication concepts, records, and lists in an electronic medical record (EMR) system allows it to successfully perform many functions vital for the provision of quality health care. A controlled medication terminology provides the foundation for decision support services, such as duplication checking, allergy checking, and drug-drug interaction alerts. Clever modeling of medication records makes it easy to provide a history of any medication the patient is on and to generate the patient's medication list for any arbitrary point in time. Medication lists that distinguish between description and prescription and that are exportable in a standard format can play an essential role in medication reconciliation and contribute to the reduction of medication errors. At present, there is no general agreement on how to best implement medication concepts, records, and lists. The underlying implementation in an EMR often reflects the needs, culture, and history of both the developers and the local users. survey of a sample of medication terminologies (COSTAR Directory, the MDD, NDDF Plus, and RxNorm) and EMR implementations of medication records (OnCall, LMR, and the Benedum EMR) reveals the advantages and disadvantages of each. There is no medication system that would fit perfectly in every single context, but some features should strongly be considered in the development of any new system.<br>(cont.) A survey of a sample of medication terminologies (COSTAR Directory, the MDD, NDDF Plus, and RxNorm) and EMR implementations of medication records (OnCall, LMR, and the Benedum EMR) reveals the advantages and disadvantages of each. There is no medication system that would fit perfectly in every single context, but some features should strongly be considered in the development of any new system.<br>by Jaime Chang.<br>S.M.
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Andersson, Johanna, and Ellinor Hallberg. "Medical Information Systems & the Nursing Profession : a Sociotechnical Approach." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-354050.
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Due to the digitalization era and challenges faced by the healthcare sector, Medical Information Systems are now being extensively used at hospitals. The implementation of the systems is a complex task which entails a need for careful considerations from a managerial view, since the main purpose with implementing the systems is for managerial control. One of the things management should consider is the professional aspect. The nursing profession is a highly specific one, and this could implicate special considerations. The aim of this master’s thesis is to take on a sociotechnical approach towards the implementation of Medical Information Systems and investigate how the nursing profession is affecting the implementation process, and what it may implicate for hospital management. To answer the research question a qualitative approach has been chosen. The empirical data has been gathered through semi-structured interviews with nurses from the case organization. The result implies that the nursing profession have a substantial impact on the implementation process. Instead of embracing the instructions and support offered by management, the nurses develop their own way of working within the system.
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Miller, Shaunette. "Strategies Hospital Leaders Use in Implementing Electronic Medical Record Systems." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/3311.
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Some hospital leaders lacked strategies for implementing electronic medical record (EMR) systems. The purpose of this case study was to explore successful strategies that hospital leaders used in implementing EMR systems. The target population consisted of hospital leaders who succeeded in implementing EMR systems in a single healthcare organization located in the Los Angeles, California region. The conceptual framework used was Kotter's (1996) eight-step process for leading change, and data were collected from face-to-face recorded interviews with 5 participants and from company documents related to EMR design and development. Data were analyzed through methodological triangulation of data types, and exploring codes exhibiting high frequencies to identify principal themes and subthemes. The data coding revealed three primary themes. The first theme related to strategies addressing training, technology, and catalyzing team effort. The second theme related to strategies focusing on employees' concerns, and the third theme related to strategies for designing, developing, and disseminating workflow. The findings affirmed the conceptual framework of Kotter (1996) inasmuch as they showed that participating hospital leaders used one or more steps in Kotter's eight-stage process of creating, implementing, and sustaining significant change. The findings could effect social change by improving the quality of healthcare services provided to patients, which can subsequently benefit patients' families and communities through reducing the costs of healthcare.
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Quang, Tri T. "Development of Compact Multimodal Optical Imaging and Medical Assessment Systems." University of Akron / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1452533192.
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Wong, Denis Kow Son. "Automation of region specific scanning for real time medical systems." Master's thesis, University of Cape Town, 2012. http://hdl.handle.net/11427/12027.
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Includes abstract.<br>Includes bibliographical references.<br>X-rays have played a vital role in both the medical and security sectors. However, there is a limit to the amount of radiation a body can receive before it becomes a health risk. Modern low dose x-ray devices operate using a c-arm which moves across the entire human body. This research reduces the radiation applied to the human body by isolating the region that needs exposure. The medical scanner that this work is based on is still under development and therefore a prototype of the scanner is developed for running simulations. A camera is attached onto the prototype and used to point out the regions that are required to be scanned. This is both faster and more accurate than the traditional method of manually specifying the areas.
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Shakir, Ali M. "A prototype multifunction differential pressure-flow sensor for medical and industrial applications." Diss., Online access via UMI:, 2009.
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Thesis (Ph. D.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Systems Science and Industrial Engineering, 2009..<br>Includes bibliographical references.
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Enlund, Simon, and Alexander Jourkovski. "Implementing a telemedicine system for remote medical consultation." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-205030.
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Telemedicine is the combination of information technology (IT) and health care and is an area that has seen increase during the last few decades due to breakthroughs in IT. Today there are still parts of the health care system that can be counterproductive with regards to the time and commitment necessary. One such part is medical consultations for private individuals where many of the simpler ones are still carried out in-person. Presented in this thesis is the implementation of a prototype telemedicine system that could be used as a substitute for in-person doctor-patient consultation. Necessary 3rd party components and their implementations into one system are described on a general use level. The result is a web application that supports login and payment via trusted sources, booking of meetings and carrying them out with video and audio. The prototype is a continuation of a telemedicine web application idea that was put on ice by a company that already provides solutions for health controls and blood analysis.<br>Telemedicin är kombinationen av informationsteknik (IT) och hälsovård och är ett område som har sett en ökning de senaste årtiondena på grund av genombrott inom IT. Idag finns det fortfarande delar av hälsovården som kan vara kontraproduktiva med avseende på den tid och det åtagandet som krävs. En sådan del är medicinska konsultationer för privatpersoner där många av de simplare mötena fortfarande sker i person. Presenterat i denna avhandling är implementationen av ett distribuerat telemedicinsystem som kan användas som ett substitut för de konsultationer mellan doktor och patient som sker i person. Nödvändiga tredjeparts komponenter och deras implementationer in ett system är beskrivna på en allmän användningsnivå. Resultatet är en webbapplikation som stödjer login och betalning via en pålitligt källa, bokning av möten och utförandet av dem med bild och ljud. Den presenterade prototypen är en fortsättning på en telemedicinsk webbapplikationsidé som lagts på is av ett företag som redan erbjuder lösningar för hälsokontroll och blodanalys.