Relevant bibliographies by topics / Technology in medicine

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Technology in medicine'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Technology in medicine"

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Wang, Ci Nian. "RFID Technology Applied in Medicine Distribution Center." Applied Mechanics and Materials 651-653 (September 2014): 2040–44. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.2040.

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After a full analysis of the principle and general structure of Medicine Distribution Center (MDC), this paper researches the application of RFID (Radio Frequency Identification) in MDC. The MDC adopts the RFID as the support platform, covering the medicines’ entry, picking, checking, delivery and many other operation flows. The paper also constructs a new medicine-distribution mode and its information system model in accordance with GPS (global positioning system), GIS (geographical information system) and routing optimization technology. The MDC can collect, deliver, check, and update mass data on the medicines’ entry and delivery, the labor intensity being decreased. Fault scanning, miss scanning, re-scanning and other artificial errors have been avoided, and the efficiency and accuracy improved.
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Kuppersmith, Ronald B. "Medicine and Technology." Ear, Nose & Throat Journal 84, no. 10 (October 2005): 618. http://dx.doi.org/10.1177/014556130508401002.

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Stukalov, A. A., S. V. Khodus, and E. A. Kolechkina. "PRECLINICAI TECHNOLOGY FOR DOCTORS BY SPECIALITY ANESTHESIOLOGY-CRITICAL CARE MEDICINE." Amur Medical Journal, no. 15-16 (2016): 109–11. http://dx.doi.org/10.22448/amj.2016.15-16.109-111.

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OKA, HISASHI. "Evidence Based Medicine for Nuclear Medicine Technology(Evidence-Based Radiological Technology)." Japanese Journal of Radiological Technology 61, no. 11 (2005): 1486–89. http://dx.doi.org/10.6009/jjrt.kj00004010664.

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DOHI, Takeyoshi. "Robot technology in medicine." Journal of the Robotics Society of Japan 8, no. 5 (1990): 583–87. http://dx.doi.org/10.7210/jrsj.8.5_583.

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KAWAOKA, Shinpei, and Narutoku SATO. "iOragns Technology and Medicine." TRENDS IN THE SCIENCES 22, no. 7 (2017): 7_83–7_87. http://dx.doi.org/10.5363/tits.22.7_83.

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Connor, J. T. H. "The Technology of Medicine." Canadian Bulletin of Medical History 6, no. 1 (April 1989): 67–70. http://dx.doi.org/10.3138/cbmh.6.1.67.

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Mackinnon, Malcolm. "Information technology in medicine." Medical Journal of Australia 167, no. 11-12 (December 1997): 574. http://dx.doi.org/10.5694/j.1326-5377.1997.tb138901.x.

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Hajar, Rachel. "Art, Medicine and Technology." Heart Views 15, no. 4 (2014): 135. http://dx.doi.org/10.4103/1995-705x.151097.

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Stackhouse, Will. "Technology, Sociology, and Medicine." Mayo Clinic Proceedings 74, no. 8 (August 1999): 841–43. http://dx.doi.org/10.4065/74.8.841.

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Dissertations / Theses on the topic "Technology in medicine"

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Carley, Simon. "Technology enhanced learning in emergency medicine." Thesis, Manchester Metropolitan University, 2018. http://e-space.mmu.ac.uk/621509/.

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Education is integral to the practice and delivery of Emergency Medicine in the UK. The staffing structures, the complexity of the workload and the need to deliver a service 24-hours a day require a high-quality learning environment. This thesis describes my work in using web-based technologies to enhance the learning experience of emergency medicine trainees and consultants. It describes three overlapping themes of innovation. Theme 1 describes the development of the BestBets approach to evidence-based medicine in emergency care. The papers and websites presented describe how the principles of evidence-based medicine were adapted, developed and published to provide a practical and pragmatic approach suitable for the acute care environment. Theme 2 describes how Virtual Learning Environments provided a solution to the challenges of teaching and learning with a chronologically and geographically distributed workforce. Theme 3 describes how I have used the latest social media technologies to enhance learning on a global scale. It describes how local learning can be shared amongst a diverse range of learners using social media tools. This theme charts how my projects on the St. Emlyn's platform have advocated for the Free Open Access Medical Education movement. It also describes how I have created a symbiotic relationship between modern and traditional publishing mechanisms to promote the academic outputs of local and international publishing collaborations. In this thesis I describe the narrative of educational development alongside and in some cases in the mutual support of technological innovation. I reflect on the strengths and weaknesses of the learning narrative and also on the methodological approach to the analysis of the three main themes. Central to my work is how I have developed my skills to now lead the social media projects for the St. Emlyn's group and in the establishment of my recognition as a leader in the area of technologically enhanced emergency medical education.
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Götze, Sarah, Daniella Ekström, Forssén Tore Larsson, Eric Sjöö, Frisinger Emma Svanberg, and Linnea Wikström. "Personalized Medicine." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-444200.

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The aim of this project was to present several therapies and possible applications of these in the field of personalized medicine along with the production techniques and workflows surrounding them. There are two main categories; cell therapies and non-cell therapies. Cell therapies utilize the body's own T cells and immune system, and non-cell therapies are mostly based on proteins and nucleotides. All of these applications face different challenges that need to be overcome to be considered effective treatments and they all have a high production cost. The report also presents differences and similarities of manufacturing models that are specifically used in the production of cell therapies. It could be argued that these manufacturing models can be adjusted and work for both cell therapies and non-cell therapies. Three different workflows for three different personalized medicines, antibody drug conjugates (ADCs), tumor infiltrating lymphocytes (TILs) and mRNA vaccines, are presented in this report. Technologies and processes valuable to the manufacturing process were also presented, including bioreactors, interleukin 2 media and cell dissociation technologies. In conclusion, there are methods and techniques that are frequently used in production that are, or possibly could be useful for manufacturing personalized drug components. Production of products used in personalized medicine is possible if the right resources are available. Personalized therapies are presently most commonly applied to cancer diseases but there are developments for these therapies that could benefit several other diseases. To fully apply personalized therapies to these diseases further studies on suitable biomarkers and targets in drugs are needed. Overall, personalized medicine has promising possibilities in treatments for many types of complex diseases. This project was assigned by Cytiva which is a global life science company and the product order can be seen in the appendix.
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Harris, Heather. "Constructing colonialism : medicine, technology, and the frontier nursing service /." Thesis, This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-06102009-063404/.

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Schreiner, Terri, and Frances Jackson. "Learning via Paradox: Less / More, Communications / Technology Nursing / Medicine." Digital Commons @ East Tennessee State University, 2005. https://dc.etsu.edu/etsu-works/8475.

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Polaha, Jodi, J. Correll, and J. Ellison. "Bringing Technology to Integrated Care." Digital Commons @ East Tennessee State University, 2010. https://dc.etsu.edu/etsu-works/6604.

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Jones, Willie F. "Development of a cellular fiber spinning technology for regenerative medicine." Connect to this title online, 2006. http://etd.lib.clemson.edu/documents/1173995215/.

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Liljedahl, Ulrika. "Microarray Technology for Genotyping in Pharmacogenetics." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4222.

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Manrai, Arjun Kumar. "Statistical foundations for precision medicine." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/97826.

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Thesis: Ph. D., Harvard-MIT Program in Health Sciences and Technology, 2015.
Cataloged from PDF version of thesis.
Includes bibliographical references.
Physicians must often diagnose their patients using disease archetypes that are based on symptoms as opposed to underlying pathophysiology. The growing concept of "precision medicine" addresses this challenge by recognizing the vast yet fractured state of biomedical data, and calls for a patient-centered view of data in which molecular, clinical, and environmental measurements are stored in large shareable databases. Such efforts have already enabled large-scale knowledge advancement, but they also risk enabling large-scale misuse. In this thesis, I explore several statistical opportunities and challenges central to clinical decision-making and knowledge advancement with these resources. I use the inherited heart disease hypertrophic cardiomyopathy (HCM) to illustrate these concepts. HCM has proven tractable to genomic sequencing, which guides risk stratification for family members and tailors therapy for some patients. However, these benefits carry risks. I show how genomic misclassifications can disproportionately affect African Americans, amplifying healthcare disparities. These findings highlight the value of diverse population sequencing data, which can prevent variant misclassifications by identifying ancestry informative yet clinically uninformative markers. As decision-making for the individual patient follows from knowledge discovery by the community, I introduce a new quantity called the "dataset positive predictive value" (dPPV) to quantify reproducibility when many research teams separately mine a shared dataset, a growing practice that mirrors genomic testing in scale but not synchrony. I address only a few of the many challenges of delivering sound interpretation of genetic variation in the clinic and the challenges of knowledge discovery with shared "big data." These examples nonetheless serve to illustrate the need for grounded statistical approaches to reliably use these powerful new resources.
by Arjun Kumar Manrai.
Ph. D.
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Bia, Jesse. "Sunshine technology and dream biology : perceptions of regenerative medicine in Japan." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10043354/.

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Regenerative medicine is enthusiastically celebrated in Japan. Cutting edge stem cell research and new translatable treatments are closely followed and championed: by individuals, the government, and media alike. This thesis will demonstrate how process occurs in Japan, and then explain why. Two critical reasons are posited for regenerative medicine’s extensive public endorsement. The first reason is regenerative medicine’s role in combating the effects of Japan’s demographic shift: an ongoing crisis in which the national population is both aging and shrinking at distressing rates. The demographic shift puts immense strains on healthcare infrastructure, the economy, and family dynamics, while also precipitating a rise in the prevalence of degenerative diseases. Regenerative medicine is perceived as a multivalent antidote for these demographic concerns. The second reason is regenerative medicine’s many points of continuity and symbiotic overlaps with the philosophies and methodological applications of kampo (traditional Japanese medicine). Within both regenerative medicine and kampo treatment contexts, healing is reflexive and internally oriented: medicine does not heal the body so much as small medical catalysts influence the body to heal itself – to regenerate. Participants viewed regenerative medicine and kampo as analogous, and in some cases, interchangeable. With data gathered over two consecutive years of multi-sited participant observation fieldwork in Japan, the story of regenerative medicine is deliberately told here through personal narratives, ethnography, and individual perceptions: the words and insights of participants. As a series of subjective biovalues, potentials, and imaginaries, regenerative medicine has become a malleable concept that extends far beyond just cellular therapies. In Japan, regenerative medicine manifests as hope for the immediate future, and as individuals project their optimism onto it, regenerative medicine can and does become whatever they want it to be.
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Butte, Atul J. "Exploring genomic medicine using integrative biology." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/33680.

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Thesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, 2004.
Includes bibliographical references (p. 215-227).
Instead of focusing on the cell, or the genotype, or on any single measurement modality, using integrative biology allows us to think holistically and horizontally. A disease like diabetes can lead to myocardial infarction, nephropathy, and neuropathy; to study diabetes in genomic medicine would require reasoning from a disease to all its various complications to the genome and back. I am studying the process of intersecting nearly-comprehensive data sets in molecular biology, across three representative modalities (microarrays, RNAi and quantitative trait loci) out of the more than 30 available today. This is difficult because the semantics and context of each experiment performed becomes more important, necessitating a detailed knowledge about the biological domain. I addressed this problem by using all public microarray data from NIH, unifying 50 million expression measurements with standard gene identifiers and representing the experimental context of each using the Unified Medical Language System, a vocabulary of over 1 million concepts. I created an automated system to join data sets related by experimental context.
(cont.) I evaluated this system by finding genes significantly involved in multiple experiments directly and indirectly related to diabetes and adipogenesis and found genes known to be involved in these diseases and processes. As a model first step into integrative biology, I then took known quantitative trait loci in the rat involved in glucose metabolism and build an expert system to explain possible biological mechanisms for these genetic data using the modeled genomic data. The system I have created can link diseases from the ICD-9 billing code level down to the genetic, genomic, and molecular level. In a sense, this is the first automated system built to study the new field of genomic medicine.
by Atul Janardhan Butte.
Ph.D.
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Books on the topic "Technology in medicine"

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A, Alavi, and SpringerLink (Online service), eds. Nuclear Medicine Technology. 3rd ed. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2008.

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Ramer, Karen, Eleanor Mantel, Janet S. Reddin, Gang Cheng, and Abass Alavi. Nuclear Medicine Technology. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38285-7.

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Mantel, Eleanor, Janet S. Reddin, Gang Cheng, and Abass Alavi. Nuclear Medicine Technology. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-62500-3.

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Murphy, Sean V. Regenerative Medicine Technology. Boca Raton : Taylor & Francis, 2017. | Series: Gene and cell: CRC Press, 2016. http://dx.doi.org/10.1201/9781315371344.

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Ramer, Karen, and Abass Alavi. Nuclear Medicine Technology. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-09010-7.

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Review of nuclear medicine technology. 2nd ed. Reston, VA: Society of Nuclear Medicine, 1996.

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Steves, Ann M. Review of nuclear medicine technology. New York, NY: Society of Nuclear Medicine, 1992.

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Moniuszko, Andrzej, and Dharmesh Patel. Nuclear Medicine Technology Study Guide. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9362-5.

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Selecting technology, science, and medicine. Niskayuna, NY: David J. Hess, 2001.

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Rooney, Anne. Medicine. Chicago, Ill: Heinemann, 2007.

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Book chapters on the topic "Technology in medicine"

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Möller, Sören. "Nuclear Medicine." In Accelerator Technology, 237–69. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62308-1_6.

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König, Karsten. "Minimally invasive medicine." In Technology Guide, 202–5. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88546-7_39.

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Rychly, Joachim. "Biointerface Technology." In Regenerative Medicine, 611–34. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5690-8_24.

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Rychly, Joachim. "Biointerface Technology." In Regenerative Medicine, 523–46. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9075-1_22.

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Baker, Jill L. "Medicine." In Technology of the Ancient Near East, 173–93. Milton Park, Abingdon, Oxon: Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781351188111-13.

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Liao, Yuqun. "Medicine." In A History of Chinese Science and Technology, 1–159. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44166-4_1.

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Liebenau, Jonathan. "Introduction: Medicine and Technology." In Medical Science and Medical Industry, 1–10. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1007/978-1-349-08739-6_1.

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Reilly, Raymond M. "Nuclear Medicine Imaging Technology." In Medical Imaging for Health Professionals, 27–43. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119537397.ch3.

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Nappi, Carla. "Science, Technology, and Medicine." In A Companion to Chinese History, 265–76. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118624593.ch21.

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Karanikic, Petra. "Personalized Medicine and Technology Transfer." In Personalized Medicine, 95–106. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39349-0_6.

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Conference papers on the topic "Technology in medicine"

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Chekrygina, I. M., A. E. Chekrygin, and V. E. Chekrygin. "Technology terahertz — Medicine." In 2010 20th International Crimean Conference "Microwave & Telecommunication Technology" (CriMiCo 2010). IEEE, 2010. http://dx.doi.org/10.1109/crmico.2010.5632741.

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Romaniuk, Ryazard S. "Optical Fiber Technology In Medicine." In 29th Annual Technical Symposium, edited by Abraham Katzir. SPIE, 1986. http://dx.doi.org/10.1117/12.950737.

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Wei, Shen, and Zeng Wen-qi. "Virtual Reality technology in modern medicine." In 2010 International Conference on Audio, Language and Image Processing (ICALIP). IEEE, 2010. http://dx.doi.org/10.1109/icalip.2010.5684506.

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Suryakrishna, S. S., K. Praveen, S. Tamilselvan, and S. Srinath. "IoT Based Automation and Blockchain for Medical Drug Storage and Smart Drug Store." In Intelligent Computing and Technologies Conference. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.115.8.

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The increase in the work stress and decrease in the time for oneself has led to the rise in the dependency on the medicines and drugs. The drugs and medicines are the key sources for saving the human life when the patient is in the danger. In order to maintain regular and quality supply of the drugs and medicines has to monitor on the regular basis. There are numerous medicines and drugs brought in the store but usually drugs and medicines are stolen to satisfy one’s greed, get expired or placed at unknown locations in the store. So to prevent such situation and saving the life of the patient Drug and Medicine Monitoring Model can be used. The model uses the RFID and IoT technology in order to monitor the drugs and medicines in the store. In medical and drug using systems which are increasing work stress and decreasing the time for oneself that has risen in dependency. The danger situation drugs and medicine is the main source for saving human life when the people are in danger. A daily regular basis to maintain a quality supply of the drug and medicine has been monitored. While traveling and transportation time is numerous medicines and drugs brought from the store but usually it is stolen to one’s greed and the medicines and drugs or placed at unknown locations. To prevent and save a patent life and monitoring model can be used to check the medicine and drug. In our model RFID tag and IoT technology can be used to monitor medicine and drug storage with the help of hospitals and how having a knowledge of the system and chemist of the medical and drugs available, the medicines and drugs quality of location and their safety.
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Wang, Yumei. "Research on Chinese Medicine Honeysuckle Medicinal Ingredients and Pharmacological Effects." In 2017 7th International Conference on Applied Science, Engineering and Technology (ICASET 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/icaset-17.2017.8.

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Campbell, Jennifer, Michelle Craig, and Marcus Law. "Computing for Medicine." In ITiCSE '17: Innovation and Technology in Computer Science Education. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3059009.3059027.

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Li, Hao. "Big Data Technology Accelerate Genomics Precision Medicine." In Second International Conference on Computer Science, Information Technology and Applications. Academy & Industry Research Collaboration Center (AIRCC), 2017. http://dx.doi.org/10.5121/csit.2017.70109.

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McDaniel, Lauralyn. "3D Printing in Medicine: Challenges Beyond Technology." In 2017 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dmd2017-3492.

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Dramatic news headlines imply that the use of additive manufacturing/3D printing in medicine is a brand new way to save and improve lives. The truth is, it’s not so new. Twenty years ago anatomical models were beginning to be used for planning complicated surgeries. In 2000, hearing aid cases were being 3D-printed and within a few years became industry standard. Medical applications have been a leader in taking 3D printing technology far beyond a product development tool. The combination of using medical imaging data to create patient-matched devices and the ability to manufacture structures difficult to produce with traditional technologies is compelling to an industry always looking for ways to innovate. Surgical uses of 3D printing-centric therapies have a long history beginning with anatomical modeling for bony reconstructive surgery planning[8]. By practicing on a tactile model before surgery surgeons were more prepared and patients received better care. Patient matched implants were a natural extension of this work, leading to truly personalized implants that fit one unique individual[10]. Virtual planning of surgery and guidance using 3D printed, personalized instruments have been applied to many areas of surgery including total joint replacement and craniomaxillofacial reconstruction with great success[9,11]. Further study of the use of models for planning heart and solid organ surgery has lead to increased use in these areas[14]. Finally, hospital-based 3D printing is now of great interest and many institutions are pursuing adding this specialty within individual radiology departments[12,13]. Despite these successful areas of application, widespread use has been fairly slow. Working toward increasing the use of 3D printing in medicine, industry professionals, clinicians, technology developers, and researchers[1] are working together to first identify the challenges and then develop tools and resources to address these challenges.
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Yu, Lun, Xiongfei Liu, Lin Pan, Yan Suo, Jinxiong Chen, Guangdong Cai, Zhiyong Zhen, Xiaoming Zhen, and Xuegui Wu. "Study of medicine image information sharing technology." In Optics East, edited by Chang Wen Chen, C. C. Jay Kuo, and Anthony Vetro. SPIE, 2004. http://dx.doi.org/10.1117/12.580384.

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Lee, Luke P. "Bionano science and technology for innovative medicine." In 2010 IEEE International Electron Devices Meeting (IEDM). IEEE, 2010. http://dx.doi.org/10.1109/iedm.2010.5703276.

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Reports on the topic "Technology in medicine"

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Parrish, John A. Center for Integration of Medicine and Innovative Technology. Fort Belvoir, VA: Defense Technical Information Center, November 2007. http://dx.doi.org/10.21236/ada502827.

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Parrish, John A. Center for the Integration of Medicine and Innovative Technology. Fort Belvoir, VA: Defense Technical Information Center, November 2002. http://dx.doi.org/10.21236/ada409639.

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Parrish, John A. Center for the Integration of Medicine and Innovative Technology. Fort Belvoir, VA: Defense Technical Information Center, November 2003. http://dx.doi.org/10.21236/ada419422.

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Thangaraj, Jayakar Charles. Accelerator Research and Technology Developments for Industrial Applications (excluding medicine). Office of Scientific and Technical Information (OSTI), January 2019. http://dx.doi.org/10.2172/1596035.

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Parrish, John A. The Center for Integration of Medicine and Innovative Technology (CIMIT). Fort Belvoir, VA: Defense Technical Information Center, October 2009. http://dx.doi.org/10.21236/ada561150.

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Scott, Peter J. H., and Kirk A. Frey. The Michigan New Technology Training and Research (MNTR) Translational Program in Nuclear Medicine (Final Report). Office of Scientific and Technical Information (OSTI), November 2018. http://dx.doi.org/10.2172/1482557.

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Adam Leotta, Adam Leotta. From Minerals to Medicines: A New Technology for Heavy Metal Pollution Remediation. Experiment, October 2014. http://dx.doi.org/10.18258/3642.

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Slattery, Kevin. Unsettled Topics on Surface Finishing of Metallic Powder Bed Fusion Parts in the Mobility Industry. SAE International, January 2021. http://dx.doi.org/10.4271/epr2021001.

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Laser and electron-beam powder bed fusion (PBF) additive manufacturing (AM) technology has transitioned from prototypes and tooling to production components in demanding fields such as medicine and aerospace. Some of these components have geometries that can only be made using AM. Initial applications either take advantage of the relatively high surface roughness of metal PBF parts, or they are in fatigue, corrosion, or flow environments where surface roughness does not impose performance penalties. To move to the next levels of performance, the surfaces of laser and electron-beam PBF components will need to be smoother than the current as-printed surfaces. This will also have to be achieve on increasingly more complex geometries without significantly increasing the cost of the final component. Unsettled Topics on Surface Finishing of Metallic Powder Bed Fusion Parts in the Mobility Industry addresses the challenges and opportunities of this technology, and what remains to be agreed upon by the industry.
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Busso, Matías, María P. González, and Carlos Scartascini. On the Demand for Telemedicine: Evidence from the Covid-19 Pandemic. Inter-American Development Bank, April 2021. http://dx.doi.org/10.18235/0003225.

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Telemedicine can expand access to health care at relatively low cost. Historically, however, demand for telemedicine has remained low. Using administrative records and a difference-in-differences methodology, we estimate the change in demand for telemedicine experienced after the onset of the COVID-19 epidemic and the imposition of mobility restrictions. We find a 233 percent increase in the number of telemedicine calls and a 342 percent increase in calls resulting in a medication being prescribed. The effects were mostly driven by older individuals with pre-existing conditions who used the service for internal medicine consultations. The demand for telemedicine remains high even after mobility restrictions were relaxed, which is consistent with telemedicine being an experience good. These results are a proof of concept for policymakers willing to expand access to healthcare using advances in technology.
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10

Gillen, Emily, Olivia Berzin, Adam Vincent, and Doug Johnston. Certified Electronic Health Record Technology Under the Quality Payment Program. RTI Press, January 2018. http://dx.doi.org/10.3768/rtipress.2018.pb.0014.1801.

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Abstract:
The 2016 Quality Payment Program (QPP) is a Medicare reimbursement reform designed to incentivize value-based care over volume-based care. A core tenet of the QPP is integrated utilization of certified electronic health record technology (CEHRT). Adopting and implementing CEHRT is a resource-intensive process, requiring both financial capital and human capital (in the form of knowledge and time). Adoption can be especially challenging for small or rural practices that may not have access to such capital. In this issue brief, we discuss the role of CEHRT in the QPP and offer policy recommendations to help small and rural practices improve their health information technology (IT) capabilities with regards to participation in value-based care. The QPP requires practices to have health IT capabilities, both as a requirement for a complete performance score and to facilitate reporting. Practices that are unable to implement CEHRT will have difficulty complying with the new reimbursement system, and will likely incur financial losses. We recommend monetary support and staff training to small and rural practices for the adoption of CEHRT, and we recommend assistance to help practices comply with the requirements of the QPP and coordinate with other small and rural practices for reporting purposes.
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