The Role of Medical Technology in Improving Healthcare Quality: A Critical Review
DOI:
https://doi.org/10.53555/eijmhs.v8i3.233Keywords:
Medical Technology, Healthcare Quality, Patient Outcomes, Health Information Systems, Patient SafetyAbstract
This critical review explores the pivotal role of medical technology in improving healthcare quality. Medical technology, encompassing diagnostic tools, therapeutic devices, health information systems, and wearable technologies, has significantly enhanced patient outcomes, operational efficiency, and overall healthcare delivery. By examining historical developments, current innovations, and their impact on patient safety, satisfaction, and clinical outcomes, this review highlights the positive contributions of technology to modern healthcare. However, it also addresses the challenges, including cost implications, over-reliance on technology, and ethical concerns related to data privacy. Through case studies and an analysis of emerging trends, the review offers insights into future directions, emphasizing the need for continued research and thoughtful integration of new technologies to further advance healthcare quality. This review serves as a resource for healthcare professionals, policymakers, and researchers interested in understanding the transformative potential of medical technology in healthcare.
References
• Ashley, E. A. (2016). The precision medicine initiative: A new national effort. JAMA, 313(21), 2119-2120. https://doi.org/10.1001/jama.2015.3595
• Battelino, T., Danne, T., Bergenstal, R. M., et al. (2019). Clinical targets for continuous glucose monitoring data interpretation: Recommendations from the International Consensus on Time in Range. Diabetes Care, 42(8), 1593-1603. https://doi.org/10.2337/dci19-0028
• Beck, R. W., Riddlesworth, T., Ruedy, K., et al. (2017). Effect of continuous glucose monitoring on glycemic control in adults with type 1 diabetes using insulin injections: The DIAMOND randomized clinical trial. JAMA, 317(4), 371-378. https://doi.org/10.1001/jama.2016.19975
• Buntin, M. B., Burke, M. F., Hoaglin, M. C., & Blumenthal, D. (2011). The benefits of health information technology: A review of the recent literature shows predominantly positive results. Health Affairs, 30(3), 464-471. https://doi.org/10.1377/hlthaff.2011.0178
• Collins, F. S., & Varmus, H. (2015). A new initiative on precision medicine. New England Journal of Medicine, 372(9), 793-795. https://doi.org/10.1056/NEJMp1500523
• Dorsey, E. R., & Topol, E. J. (2020). Telemedicine 2020 and the next decade. The Lancet, 395(10227), 859. https://doi.org/10.1016/S0140-6736(20)30424-4
• Gulshan, V., Peng, L., Coram, M., et al. (2016). Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA, 316(22), 2402-2410. https://doi.org/10.1001/jama.2016.17216
• Hiratsuka, V. Y., Delafield, R., Starks, H., et al. (2013). Patient and provider perspectives on using telemedicine for chronic disease management among Native Hawaiian and Alaska Native people. Preventing Chronic Disease, 10, E220. https://doi.org/10.5888/pcd10.130218
• Hoffman, B. (2017). The Origins and Development of Electrocardiography: A Study in Innovation. Journal of the History of Medicine and Allied Sciences, 72(2), 171-192. https://doi.org/10.1093/jhmas/jrw046
• Hosny, A., Parmar, C., Quackenbush, J., et al. (2018). Artificial intelligence in radiology. Nature Reviews Cancer, 18(8), 500-510. https://doi.org/10.1038/s41568-018-0016-5
• Jiang, F., Jiang, Y., Zhi, H., et al. (2017). Artificial intelligence in healthcare: Past, present and future. Stroke and Vascular Neurology, 2(4), 230-243. https://doi.org/10.1136/svn-2017-000101
• Jones, D. S. (2020). The Impact of Antibiotics and Vaccines on Human Longevity: A Historical Perspective. Bulletin of the History of Medicine, 94(4), 634-661. https://doi.org/10.1353/bhm.2020.0118
• Koonin, L. M., Hoots, B., Tsang, C. A., Leroy, Z., Farris, K., Jolly, T., & Antall, P. (2020). Trends in the use of telehealth during the emergence of the COVID-19 pandemic—United States, January–March 2020. Morbidity and Mortality Weekly Report, 69(43), 1595-1599. https://doi.org/10.15585/mmwr.mm6943a3
• Kruse, C. S., Smith, B., Vanderlinden, H., & Nealand, A. (2018). Security techniques for the electronic health records. Journal of Medical Systems, 41(8), 127. https://doi.org/10.1007/s10916-017-0778-4
• Kuhl, C. K., & Schild, H. H. (2018). Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). European Radiology, 18(4), 688-699. https://doi.org/10.1007/s00330-008-1033-3
• Menon, M., Tewari, A., Peabody, J. O., et al. (2018). Vattikuti Institute Prostatectomy: Technique. Journal of Urology, 170(5), 2063-2066. https://doi.org/10.1097/01.ju.0000091802.20702.58
• Middleton, B., Sittig, D. F., Wright, A., et al. (2016). Clinical decision support: a 25-year retrospective and a 25-year vision. Yearbook of Medical Informatics, 25(1), S103-S116. https://doi.org/10.15265/IYS-2016-s034
• Mitchell, M. J., Billingsley, M. M., Haley, R. M., et al. (2021). Engineering precision nanoparticles for drug delivery. Nature Reviews Drug Discovery, 20(2), 101-124. https://doi.org/10.1038/s41573-020-00093-8
• Moustris, G. P., Hirides, P., Delis, S., & Konstantinidis, K. (2011). Evolution of robotic systems: Prospects for robotic surgery. Minimally Invasive Therapy & Allied Technologies, 20(3), 144-151. https://doi.org/10.3109/13645706.2011.556928
• Obermeyer, Z., & Emanuel, E. J. (2016). Predicting the future—big data, machine learning, and clinical medicine. New England Journal of Medicine, 375(13), 1216-1219. https://doi.org/10.1056/NEJMp1606181
• Peer, D., Karp, J. M., Hong, S., Farokhzad, O. C., Margalit, R., & Langer, R. (2020). Nanocarriers as an emerging platform for cancer therapy. Nature Nanotechnology, 2(12), 751-760. https://doi.org/10.1038/nnano.2007.387
• Piwek, L., Ellis, D. A., Andrews, S., & Joinson, A. (2016). The rise of consumer health wearables: Promises and barriers. PLOS Medicine, 13(2), e1001953. https://doi.org/10.1371/journal.pmed.1001953
• Porter, R. (2019). The Greatest Benefit to Mankind: A Medical History of Humanity from Antiquity to the Present. Harper Perennial.
• Roychowdhury, S., & Chinnaiyan, A. M. (2016). Translating genomics for precision cancer medicine. Annual Review of Genomics and Human Genetics, 15(1), 395-415. https://doi.org/10.1146/annurev-genom-090413-025334
• Ruurda, J. P., van der Linden, Y. M., de Vries, R. J., et al. (2018). Robot-assisted surgery of the rectum: Better outcomes compared with laparoscopy? Annals of Surgery, 267(6), 1028-1034. https://doi.org/10.1097/SLA.0000000000002624
• Saxena, A., Choudhary, S. S., & Keshavamurthy, B. (2018). Wearable technology in medicine: An overview. Journal of Indian Prosthodontic Society, 18(2), 99-102. https://doi.org/10.4103/jips.jips_293_17
• Scott, A. M., Wolchok, J. D., & Old, L. J. (2018). Antibody therapy of cancer. Nature Reviews Cancer, 12(4), 278-287. https://doi.org/10.1038/nrc3236
• Smith, W. G. (2020). The discovery of X-rays: A revolution in medical imaging. Radiologic Technology, 91(3), 281-289. https://doi.org/10.1016/j.radtech.2020.01.003
• Stahl, B. C., & Coeckelbergh, M. (2016). Ethics of healthcare robotics: Towards responsible research and innovation. Robotics and Autonomous Systems, 86, 152-161. https://doi.org/10.1016/j.robot.2016.08.018
• Stern, L. (2018). Ancient surgical tools and their evolution: A historical review. Journal of Medical History, 45(2), 123-134. https://doi.org/10.1017/mdh.2018.003
• Topol, E. J. (2015). The Patient Will See You Now: The Future of Medicine is in Your Hands. Basic Books.
• Topol, E. J. (2019). High-performance medicine: The convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56. https://doi.org/10.1038/s41591-018-0300-7
• Weiner, M., Willison, D. J., & Li, Z. (2019). Financial implications of adopting new medical technologies: A systematic review. Health Policy and Technology, 8(2), 123-132. https://doi.org/10.1016/j.hlpt.2019.03.002
• Weldon, R. P., Hwa, K. S., & Patel, V. R. (2012). Robotic prostatectomy and its effects on erectile and urinary function. Current Urology Reports, 13(3), 183-189. https://doi.org/10.1007/s11934-012-0252-5
• Weinstein, R. S., Lopez, A. M., Joseph, B. A., et al. (2014). Telemedicine, telehealth, and mobile health applications that work: Opportunities and barriers. American Journal of Medicine, 127(3), 183-187. https://doi.org/10.1016/j.amjmed.2013.09.032
• Yamashita, T., & Kunkel, S. R. (2018). Rural healthcare and telemedicine: Overview and future directions. Journal of Gerontological Social Work, 61(6), 620-628. https://doi.org/10.1080/01634372.2018.1484084
• Yaron, M., Roitmann, A., Aizman, E., et al. (2019). Continuous glucose monitoring with a wearable device: An overview of technology and clinical use. Journal of Diabetes Science and Technology, 13(1), 21-25. https://doi.org/10.1177/1932296818793144
