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Journal articles on the topic 'Healthcare Systems Engineering'

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1

Hoyme, Ken. "Future Directions in Healthcare Systems Engineering." Biomedical Instrumentation & Technology 51, no. 3 (2017): 206–7. http://dx.doi.org/10.2345/0899-8205-51.3.206.

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Dean, John. "Systems engineering for healthcare improvement 101." Future Hospital Journal 4, Suppl 2 (2017): s19. http://dx.doi.org/10.7861/futurehosp.4-2-s19.

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Pasupathy, Kalyan Sunder. "Transforming Healthcare." International Journal of Healthcare Delivery Reform Initiatives 2, no. 2 (2010): 35–55. http://dx.doi.org/10.4018/jhdri.2010040103.

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The healthcare system is facing several major quality challenges. In 2005, the Institute of Medicine published a report on how systems engineering and improvements in information technology can help address and solve some of these challenges. Systems engineering (SE) and health informatics (HI) have been undergoing advancements over the years. Health systems engineering is an interdisciplinary field that has grown to encompass the design, analysis, and management of complex health systems to improve quality and performance. HI is another interdisciplinary field around collection, storage, retr
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Omachonu, Vincent K., and Norman G. Einspruch. "Systems engineering in the healthcare service industry." International Journal of Healthcare Technology and Management 8, no. 1/2 (2007): 161. http://dx.doi.org/10.1504/ijhtm.2007.012108.

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5

Taurino, Teresa, Dario Bellomo, and Salvatore Roberto Lo Turco. "Systems engineering approach to healthcare performance analysis." International Journal of Society Systems Science 9, no. 1 (2017): 58. http://dx.doi.org/10.1504/ijsss.2017.083617.

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Lo Turco, Salvatore Roberto, Dario Bellomo, and Teresa Taurino. "Systems engineering approach to healthcare performance analysis." International Journal of Society Systems Science 9, no. 1 (2017): 58. http://dx.doi.org/10.1504/ijsss.2017.10004339.

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7

Vockley, Martha. "All Systems Go: How Systems Engineering Can Improve Healthcare Technology." Biomedical Instrumentation & Technology 47, no. 2 (2013): 106–14. http://dx.doi.org/10.2345/0899-8205-47.2.106.

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8

Raheja, Dev. "System Safety in Healthcare." Journal of System Safety 52, no. 1 (2016): 14–15. http://dx.doi.org/10.56094/jss.v52i1.134.

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System safety engineering will be a great tool for designing health care systems for patient safety, but the White House has a wider goal — one that includes not only patient safety, but also reliability, efficiency, productivity, quality and cost reduction. Therefore, systems engineering is poised to become the next proactive tool in health care.
 A report, titled “Report To The President, Better Health Care And Lower Costs: Accelerating Improvement Through Systems Engineering,” was prepared by the President’s Council of Advisors on Science and Technology (PCAST) in May 2014 [Ref. 1]. Th
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Dodds, Simon. "Systems engineering in healthcare – a personal UK perspective." Future Healthcare Journal 5, no. 3 (2018): 160–63. http://dx.doi.org/10.7861/futurehosp.5-3-160.

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Schrenker, R. A. "Software Engineering for Future Healthcare and Clinical Systems." Computer 39, no. 4 (2006): 26–32. http://dx.doi.org/10.1109/mc.2006.139.

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11

Nemeth, Christopher, and Richard Cook. "Reliability versus Resilience: What Does Healthcare Need?" Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, no. 11 (2007): 621–25. http://dx.doi.org/10.1177/154193120705101104.

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System performance in healthcare pivots on the ability to match demand for care with the resources that are needed to provide it. High reliability is desirable in organizations that perform inherently hazardous, highly technical tasks. However, healthcare's high variability, diversity, partition between workers and managers, and production pressure make it difficult to employ essential aspects of high reliability organizations (HROs) such as redundancy and extensive training. A different approach is needed to understand the nature of healthcare systems and their ability to perform and survive
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Flach, John M., Peter Reynolds, Caroline Cao, and Tiffany Saffell. "Engineering Representations to Support Evidence-based Clinical Practice." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 6, no. 1 (2017): 66–73. http://dx.doi.org/10.1177/2327857917061015.

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This paper provides an introduction to Cognitive Systems Engineering (CSE) and Ecological Interface Design (EID), as important complements to more conventional Human Factors Engineering approaches. These complementary perspectives are essential for supporting productive thinking in complex work domains, such as healthcare. We suggest that EHR systems provide a unique opportunity to take advantage of these approaches to support Evidence-Based Practice (EBP) in healthcare and we show examples of these approaches to three different healthcare problems: cardiovascular health, pain management, and
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13

Kontio, Elina, Heljä Lundgrén-Laine, Juha Kontio, Heikki Korvenranta, and Sanna Salanterä. "Enterprise Resource Planning Systems in Healthcare." International Journal of Information Systems in the Service Sector 6, no. 2 (2014): 36–50. http://dx.doi.org/10.4018/ijisss.2014040103.

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The aim of this article is to present an analysis of literature on the views, experiences and challenges of enterprise resource planning systems in healthcare. At the moment there is very limited systematic evidence on the role of these systems in healthcare. The PudMed, Emerald, CSA Engineering Research Database, ScienceDirect, ISI Web of Knowledge and Cinahl databases were searched, covering the period from January 2000 to April 2009. Studies were included if they concerned enterprise resource planning systems integrated into healthcare. The selected studies were analyzed with the thematic s
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14

Wu, Bin, Cerry Klein, and Tamara T. Stone. "Healthcare systems engineering: an interdisciplinary approach to achieving continuous improvement." International Journal of Electronic Healthcare 2, no. 3 (2006): 201. http://dx.doi.org/10.1504/ijeh.2006.009269.

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15

Fowler, John W., James C. Benneyan, Pascale Carayon, Brian T. Denton, Pinar Keskinocak, and George C. Runger. "An introduction to a new journal for Healthcare Systems Engineering." IIE Transactions on Healthcare Systems Engineering 1, no. 1 (2011): 1–5. http://dx.doi.org/10.1080/19488301003645051.

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16

Farris, Jennifer A., Timothy I. Matis, Marlene McAllister, and Alan Snider. "Applying healthcare systems engineering methods to the patient discharge process." International Journal of Collaborative Enterprise 1, no. 3/4 (2010): 293. http://dx.doi.org/10.1504/ijcent.2010.038355.

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17

Unger, Chris. "Comprehensive Approach to Systems Engineering Capability Development in GE Healthcare." INCOSE International Symposium 26, no. 1 (2016): 115–24. http://dx.doi.org/10.1002/j.2334-5837.2016.00149.x.

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18

Festa, Alessandra, Massimo Panella, Roberto Lo Sterzo, EngTech, and Luca Liparulo. "Radiofrequency Identification Systems for Healthcare." Journal of Clinical Engineering 38, no. 3 (2013): 125–33. http://dx.doi.org/10.1097/jce.0b013e31829a9174.

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19

Jordan, Victoria S. "Systems engineering in health care: Overview and examples from The University of Texas MD Anderson Cancer Center." Journal of Clinical Oncology 30, no. 34_suppl (2012): 140. http://dx.doi.org/10.1200/jco.2012.30.34_suppl.140.

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140 Background: The University of Texas has six health institutions and Industrial and Systems Engineering faculty throughout university locations across the state. These academic medical centers, including MD Anderson Cancer Center, and schools of engineering, business, and medicine are partnering to implement Systems Engineering in healthcare throughout the UT system. The “systems approach to implementing Systems Engineering” is an opportunity to serve as a world-class model for collaboration across academic institutions for engineering, business, medicine, and healthcare organizations to im
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20

Garefalakis, A., G. Mantalis, E. Vourgourakis, K. Spinthiropoulos, and Ch Lemonakis. "Healthcare Firms and the ERP Systems." Journal of Engineering Science and Technology Review 9, no. 1 (2016): 139–44. http://dx.doi.org/10.25103/jestr.091.021.

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21

Buczacki, Aleksander, Bartłomiej Gładysz, and Dariusz Timler. "Industrial Engineering for Healthcare Management – Example Lean Management and ICT Tools." Studies in Logic, Grammar and Rhetoric 60, no. 1 (2019): 19–32. http://dx.doi.org/10.2478/slgr-2019-0042.

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Abstract Industrial engineering is a field dealing with optimization of complex processes, systems, or organizations by developing, improving and implementing integrated systems of people, money, knowledge, information, equipment, energy, and materials. Hence, the scope of industrial engineering is wide and includes various fields, from manufacturing, through banking, different types of services, to administration and healthcare. Various industrial engineering tools could be implemented in healthcare settings. The use of such tools is popular in western economies. For example, simulation model
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22

Oluwatoyin Ayo-Farai, Babarinde Abdulraheem Olaide, Chinedu Paschal Maduka, and Chiamaka Chinaemelum Okongwu. "ENGINEERING INNOVATIONS IN HEALTHCARE: A REVIEW OF DEVELOPMENTS IN THE USA." Engineering Science & Technology Journal 4, no. 6 (2023): 381–400. http://dx.doi.org/10.51594/estj.v4i6.638.

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 The healthcare landscape in the United States is undergoing a transformative evolution fueled by rapid engineering innovations. This study synthesizes and examines key developments at the intersection of engineering and healthcare, emphasizing advancements that have significantly impacted medical practices, patient outcomes, and the overall healthcare ecosystem. The study outlines notable engineering applications, including medical imaging technologies, biomedical devices, telehealth solutions, and health information systems. It explores the integration of artificial intelligence and ma
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23

Yanke, Eric, Pascale Carayon, and Nasia Safdar. "Translating Evidence into Practice Using a Systems Engineering Framework for Infection Prevention." Infection Control & Hospital Epidemiology 35, no. 9 (2014): 1176–82. http://dx.doi.org/10.1086/677638.

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The current infection prevention era is defined by the rise of healthcare-associated infections (HAIs) and multidrug-resistant organisms (MDROs). Efforts to combat these and other emerging pathogens have resulted in rapid and ongoing evolution of the contemporary infection prevention environment. Currently, HAIs impose a significant burden on the US healthcare system. Recent analysis of National Healthcare Safety Network data from the early 2000s suggests that at least 1.7 million HAIs occur yearly in US hospitals, associated with at least 99,000 deaths. These numbers have likely increased ove
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24

Faezipour, Misagh, and Miad Faezipour. "Sustainable Smartphone-Based Healthcare Systems: A Systems Engineering Approach to Assess the Efficacy of Respiratory Monitoring Apps." Sustainability 12, no. 12 (2020): 5061. http://dx.doi.org/10.3390/su12125061.

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Recent technological developments along with advances in smart healthcare have been rapidly changing the healthcare industry and improving outcomes for patients. To ensure reliable smartphone-based healthcare interfaces with high levels of efficacy, a system dynamics model with sustainability indicators is proposed. The focus of this paper is smartphone-based breathing monitoring systems that could possibly use breathing sounds as the data acquisition input. This can especially be useful for the self-testing procedure of the ongoing global COVID-19 crisis in which the lungs are attacked and br
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25

Rouse, William B. "Engineering perspectives on healthcare delivery: Can we afford technological innovation in healthcare?" Systems Research and Behavioral Science 26, no. 5 (2009): 573–82. http://dx.doi.org/10.1002/sres.991.

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26

Flach, John, Peter Reynolds, Libby Duryee, Bryan Young, and Jeff Graley. "Digital Healthcare: Moving beyond the data input/out problem toward enhancing clinical judgment." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 8, no. 1 (2019): 57–61. http://dx.doi.org/10.1177/2327857919081013.

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The design of digital information management systems for healthcare presents developers with several formidable engineering challenges. These systems must manage huge amounts of data and support communications across disparate platforms and divisions within a healthcare organization. They must ensure that data is kept private, secure, and available to the right people at the right time. However, as shown in other complex systems (e.g., nuclear power), simply making data available may be insufficient. The goals in designing digital healthcare as a ‘cognitive system’ are to present patient infor
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27

Jahn, Michelle A., Siobhan M. Heiden, and Barrett S. Caldwell. "Identifying Improvements in Healthcare Systems Engineering Models for Chronic Care and Precision Medicine Applications." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 7, no. 1 (2018): 218–23. http://dx.doi.org/10.1177/2327857918071052.

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Over 48 million Americans are currently living with a chronic disease. To effectively manage chronic diseases, there is a need for interventions at multiple points in the care process, with integrated health information technology (HIT) systems to assist with information coordination for patients, caregivers, and providers. Systems engineering models can be useful for minimizing unintended consequences with HIT implementation; however, there are gaps in applying such models to precision medicine and chronic care management. The objective of this work was to review the key attributes of systems
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28

Abdalla, Reem, and Alok Mishra. "Using Agent-Based Methodologies in Healthcare Information Systems." Cybernetics and Information Technologies 18, no. 2 (2018): 123–32. http://dx.doi.org/10.2478/cait-2018-0033.

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Abstract This paper carries out a comparative analysis to determine the advantages and the stages of two agent-based methodologies: Multi-agent Systems Engineering (MaSE) methodology, which is designed specifically for an agent-based and complete lifecycle approach, while also being appropriate for understanding and developing complex open systems; Agent Systems Methodology (ASEME) suggests a modular Multi-Agent System (MAS) development approach and uses the concept of intra-agent control. We also examine the strengths and weaknesses of these methodologies and the dependencies between their mo
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29

Shammari, Eiman Tamah Al. "Sensor networks and systems for pervasive healthcare." International Journal of Biomedical Engineering and Technology 14, no. 2 (2014): 91. http://dx.doi.org/10.1504/ijbet.2014.059341.

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30

Witz, Steven M. "The Regenstrief Center for Healthcare Engineering: designing, implementing, and sustaining interdisciplinary solutions to transform healthcare delivery systems." International Journal of Healthcare Technology and Management 8, no. 3/4 (2007): 399. http://dx.doi.org/10.1504/ijhtm.2007.013171.

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31

Zambuto, Raymond Peter. "Building Interoperable Healthcare Systems Through IHE." Biomedical Instrumentation & Technology 44, no. 4 (2010): 315–17. http://dx.doi.org/10.2345/0899-8205-44.4.315.

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32

Gambino, Orazio, Vincenzo Conti, Sergio Galdino, Cesare Fabio Valenti, and Wellington Pinheiro dos Santos. "Image Segmentation Techniques for Healthcare Systems." Journal of Healthcare Engineering 2019 (April 2, 2019): 1–2. http://dx.doi.org/10.1155/2019/2723419.

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33

Keeley, Dara. "Healthcare Providers’ Readiness to Address Medical Device Cybersecurity within the Irish Healthcare System." Global Clinical Engineering Journal 6, no. 2 (2024): 30–39. http://dx.doi.org/10.31354/globalce.v6i2.158.

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Medical devices that can diagnose and treat critically ill patients have become sophisticated and complex. Device manufacturers have been developing these systems to meet market requirements as technology evolves. Combining medical devices and ICT into a distributed medical device IT system can be a solution to incorporating continuous monitoring from the patient bedside to interoperability with a clinical information system. These technology innovations aim to manage patient data and configure medical devices into networked systems that can provide functionality and safety. The implementation
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34

Hosea, Fred. "Emerging Horizons of Clinical Engineering in Disaster Preparedness and Management." Global Clinical Engineering Journal 3, no. 1 (2020): 10–26. http://dx.doi.org/10.31354/globalce.v3i1.98.

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GLOBAL DISASTER UNPREPAREDNESS - The global COVID-19 crisis of 2020 has thrown a disturbing spotlight on the many ways in which healthcare systems, governments, medical industries, markets, and healthcare professions have been dangerously fragmented, unprepared, under-resourced, tragically slow and uncoordinated in responding to the most disruptive medical disaster of our times. Despite numerous threat-analysis studies, detailed pandemic scenarios and simulations by state and Federal agencies, despite billions of dollars spent on post-9/11 international disaster preparedness, and repeated top-
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35

Ghahramani, Bahador. "Total quality management applications in the healthcare industry: a systems engineering approach." International Journal of Healthcare Technology and Management 2, no. 1/2/3/4 (2000): 86. http://dx.doi.org/10.1504/ijhtm.2000.001076.

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36

Laing, Angus. "Meeting patient expectations: healthcare professionals and service re-engineering." Health Services Management Research 15, no. 3 (2002): 165–72. http://dx.doi.org/10.1258/095148402320176675.

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A central theme underpinning the reform of healthcare systems in western economies since the 1980s has been the emphasis on reorienting service provision around the patient. Healthcare organizations have been forced to re-appraise the design of the service delivery process, specifically the service encounter, to take account of these changing patient expectations. This reorientation of healthcare services around the patient has fundamental implications for healthcare professionals, specifically challenging the dominance of service professionals in the design and delivery of health services. Ut
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37

Ghayyur, Shahbaz Ahmed Khan, Daud Awan, and Malik Sikander Hayat Khiyal. "A Case of Engineering Quality for Mobile Healthcare Applications Using Augmented Personal Software Process Improvement." Mobile Information Systems 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/3091280.

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Mobile healthcare systems are currently considered as key research areas in the domain of software engineering. The adoption of modern technologies, for mobile healthcare systems, is a quick option for industry professionals. Software architecture is a key feature that contributes towards a software product, solution, or services. Software architecture helps in better communication, documentation of design decisions, risks identification, basis for reusability, scalability, scheduling, and reduced maintenance cost and lastly it helps to avoid software failures. Hence, in order to solve the abo
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38

Ferucio Laurențiu, Țiplea, Cristian Hristea, and Daniela Gifu. "Efficient RFID Scheme in Healthcare Systems." Procedia Computer Science 225 (2023): 3996–4005. http://dx.doi.org/10.1016/j.procs.2023.10.395.

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39

Lee, Seunghyeon, Eun-Jeong Cho, and Hyo-Bum Kwak. "Personalized Healthcare for Dementia." Healthcare 9, no. 2 (2021): 128. http://dx.doi.org/10.3390/healthcare9020128.

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Dementia is one of the most common health problems affecting older adults, and the population with dementia is growing. Dementia refers to a comprehensive syndrome rather than a specific disease and is characterized by the loss of cognitive abilities. Many factors are related to dementia, such as aging, genetic profile, systemic vascular disease, unhealthy diet, and physical inactivity. As the causes and types of dementia are diverse, personalized healthcare is required. In this review, we first summarize various diagnostic approaches associated with dementia. Particularly, clinical diagnosis
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40

S., BÎRLEANU. "oT Architecture and Applications in Healthcare Systems." Scientific Bulletin of Naval Academy XXIV, no. 1 (2021): 97–102. http://dx.doi.org/10.21279/1454-864x-21-i1-011.

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This paper provides a detailed overview of the intelligent health system that uses the concept of the Internet of Things. Various technologies implemented together with their applications are analyzed in this paper. An increasing number of IoT devices are currently available on the market to support patients, each with different technologies are explored into this document. The paper also presents a comparison between different sensors used in the field of healthcare and their types, IoT architecture, tools and technologies used for the development of IoT systems in the field of healthcare.
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41

Pozza, Giuliano. "Healthcare SCACA Systems and Medical Devices Data Systems Governance and Security." Journal of Clinical Engineering 39, no. 3 (2014): 136–41. http://dx.doi.org/10.1097/jce.0000000000000042.

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42

Nopany, Shreyas, and Prof Manonmani S. "Applications of Big Data Analytics in Healthcare Management Systems." Journal of University of Shanghai for Science and Technology 23, no. 06 (2021): 1167–82. http://dx.doi.org/10.51201/jusst/21/05416.

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The healthcare industry has become increasingly demanding in recent years. The growing number of patients makes it difficult for doctors and staff to manage their work effectively. In order to achieve their objectives, data analysts collect a large amount of data, analyze it, and use it to derive valuable insights. Data analytics may become a promising solution as healthcare industry demands increase. The paper discusses the challenges of data analytics in the healthcare sector and the benefits of using big data for healthcare analytics. Aside from focusing on the opportunities that big data a
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43

Kurolov, Maksud. "Exploring the Role of Business Intelligence Systems in Digital Healthcare Marketing:." International Journal of Social Science Research and Review 6, no. 6 (2023): 377–83. http://dx.doi.org/10.47814/ijssrr.v6i6.1226.

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This study explores the potential of business intelligence (BI) systems in facilitating digital healthcare marketing. The healthcare industry has undergone a digital transformation in recent years, with increasing use of digital channels for marketing and customer engagement. BI systems have emerged as a promising technology that can enable healthcare organizations to gain valuable insights into customer behavior, preferences, and trends. Despite the potential benefits of BI systems in healthcare marketing, there is a notable research gap in understanding the role and impact of these systems.
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44

Böker, Kai O., Samuel Siegk, Luis A. Pardo, et al. "Bioreaktoren für vaskularisiertes Knochen-Tissue-Engineering." BIOspektrum 28, no. 6 (2022): 654–56. http://dx.doi.org/10.1007/s12268-022-1833-3.

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AbstractTissue engineering (TE) has the potential to revolutionize human healthcare through creation of artificial tissue for medical applications. The vascular supply plays an important role in this process. To realize such vascularized tissues in the future, we developed a vascularized bioreactor system. The goal in the near future is to standardize the systems to enable to mimic existing in vivo systems. The long-term goal is the production of vascularized bone tissue for treatment of large bone defects in injured patients.
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45

Shafiq, Muhammad, Jin-Ghoo Choi, Omar Cheikhrouhou, and Habib Hamam. "Advances in IoMT for Healthcare Systems." Sensors 24, no. 1 (2023): 10. http://dx.doi.org/10.3390/s24010010.

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Nowadays, the demand for healthcare to transform from traditional hospital and disease-centered services to smart healthcare and patient-centered services, including the health management, biomedical diagnosis, and remote monitoring of patients with chronic diseases, is growing tremendously [...]
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46

Murala, Subrahmanyam, Santosh Kumar Vipparthi, and Zahid Akhtar. "Vision Based Computing Systems for Healthcare Applications." Journal of Healthcare Engineering 2019 (February 14, 2019): 1–2. http://dx.doi.org/10.1155/2019/9581275.

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47

Yadav, Bhanu, Aryan Gupta, Neha Sharma, and Yashika Sharma. "IoT-Enabled Health Monitoring Systems: Transforming Healthcare Delivery." International Journal for Research in Applied Science and Engineering Technology 12, no. 2 (2024): 1108–16. http://dx.doi.org/10.22214/ijraset.2024.58516.

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Abstract: The Internet of Things (IoT) technology integrated with healthcare has revolutionized the way we monitor and manage health. This research paper presents a comprehensive study and exploration of a Health Monitoring System (HMS) built upon using IoT technologies and principles. The HMS offers numerous advantages, which includes, reduced healthcare cost increased accessibility to healthcare services, enhanced patient outcomes, ultimately improving the quality of life. The core features of the HMS include a diverse array of IoT devices such as wearable sensors, smart medical equipment, a
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48

Chawla, Suhani. "ADVANCEMENT OF ROBOTICS IN HEALTHCARE." International Journal of Social Science and Economic Research 07, no. 12 (2022): 3936–52. http://dx.doi.org/10.46609/ijsser.2022.v07i12.006.

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If robots are not common everyday objects, it is maybe because we have looked robotic applications without considering sufficient attention what could be the experience of interacting with a robot. This article introduces the idea of a value profile, a notion intended to capture the general evolution of our experience with different kinds of objects. In the past two decades, robotics has evolved immensely with increased prospects in biological, healthcare, medicine and surgery industry. Robots are being used in almost everything and almost everywhere. However, they are not to replace qualified
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Kuan, Jyh-Horng. "5.3.1 Development of healthcare service management system using systems engineering and RFID technology." INCOSE International Symposium 19, no. 1 (2009): 814–43. http://dx.doi.org/10.1002/j.2334-5837.2009.tb00985.x.

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50

Twaakyondo, Hashim M., and Joseph E. Mbowe. "Software Engineering: A fundamental Approach to Automate and Interface Medical Electronic Systems with Computers in Healthcare Systems." Tanzania Journal of Engineering and Technology 30, no. 1 (2007): 75–82. http://dx.doi.org/10.52339/tjet.v30i1.400.

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The cost for application software and propriatry standards (i.e. data structure and formats) required for storing clinicaldatasets from electronic device cause the use of time-consuming paper-based documentation and/or the transfer ofelectronic lab records manually to the PC database systems in Mother-Offspring Malaria Study (MOMS) LaboratoryUnit located in Morogoro Regional Hospital, Tanzania. We have explored the ability to extract laboratory results fromHaematology analyzer machine for easy management, access and storage. The methodology and tools used during thestudy includes; site survey
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