Revolutionizing Healthcare: The Technological Transformation of Medical Laboratory Outcomes
Main Article Content
Abstract
The intersection of technology and healthcare has catalyzed transformative shifts, particularly within the sphere of medical laboratory testing. This article sheds light on the historical trajectory of laboratory processes and emphasizes the pivotal role of modern technological tools such as automation, digital imaging, data analytics, and integrated electronic health systems. This metamorphosis is marked by the integration of automation, enabling high-throughput sample processing; digital imaging, which offers unprecedented precision in sample analysis; and robust data analytics capable of discerning intricate patterns. Further enhancing this landscape is the emergence of interconnected electronic health systems, promoting the swift dissemination of diagnostic outcomes across varied medical entities. Such advancements have undeniably elevated diagnostic accuracy and expedited patient care, reducing associated anxieties linked to prolonged wait times. However, this technological renaissance is not devoid of challenges. Data security concerns, the potential for system glitches, and the imperative for ongoing staff training underscore some emergent issues. As we envision a future where healthcare and technology are inextricably linked, it becomes paramount to address these challenges. The synthesis of adaptive methodologies, alongside these innovations, remains central to our unwavering commitment to medical excellence.
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References
Institute of Medicine (US) Committee on Medicare Payment Methodology for Clinical Laboratory Services; Miller Wolman D, Kalfoglou AL, LeRoy L, editors. Medicare Laboratory Payment Policy: Now and in the Future. Washington (DC): National Academies Press (US); 2000. 3, Technology Trends in the Clinical Laboratory Industry. Available from: https://www.ncbi.nlm.nih.gov/books/NBK223043/
BMJ BMA Hous, Quality Improvement. A special supplement in partnership with The Health Foundation, April 2022. https://www.bmj.com/sites/default/files/attachments/resources/2022/04/bmj_collections_-_quality_improvement_april_2022.pdf
Najjar R. Redefining Radiology: A Review of Artificial Intelligence Integration in Medical Imaging. Diagnostics (Basel). 2023 Aug 25;13(17):2760. doi: 10.3390/diagnostics13172760. PMID: 37685300; PMCID: PMC10487271.
Institute of Medicine (US) Committee on Medicare Payment Methodology for Clinical Laboratory Services; Miller Wolman D, Kalfoglou AL, LeRoy L, editors. Medicare Laboratory Payment Policy: Now and in the Future. Washington (DC): National Academies Press (US); 2000. 3, Technology Trends in the Clinical Laboratory Industry. Available from: https://www.ncbi.nlm.nih.gov/books/NBK223043/
Pascucci, F., Savelli, E. & Gistri, G. How digital technologies reshape marketing: evidence from a qualitative investigation. Ital. J. Mark. 2023, 27–58 (2023). https://doi.org/10.1007/s43039-023-00063-6
Alamri AM, Alkhilaiwi FA, Ullah Khan N. Era of Molecular Diagnostics Techniques before and after the COVID-19 Pandemic. Curr Issues Mol Biol. 2022 Oct 11;44(10):4769-4789. doi: 10.3390/cimb44100325. PMID: 36286040; PMCID: PMC9601158.
Daniela P. Flores,Timothy C. Marzullo. The construction of high-magnification homemade lenses for a simple microscope: an easy “DIY” tool for biological and interdisciplinary education. Advanced physiology education, vol.45, issue 1. MAR 2021. https://doi.org/10.1152/advan.00127.2020
National Research Council (US) Committee to Update Science, Medicine, and Animals. Science, Medicine, and Animals. Washington (DC): National Academies Press (US); 2004. A Theory of Germs. Available from: https://www.ncbi.nlm.nih.gov/books/NBK24649/
Maggi E, Patterson NE, Montagna C. Technological advances in precision medicine and drug development. Expert Rev Precis Med Drug Dev. 2016;1(3):331-343. doi: 10.1080/23808993.2016.1176527. Epub 2016 May 5. PMID: 27622214; PMCID: PMC5017245.
Turing. Understanding IT Process Automation: Technologies, Benefits, and Use Cases. https://www.turing.com/resources/it-process-automation
Soriano GP, Yasuhara Y, Ito H, Matsumoto K, Osaka K, Kai Y, Locsin R, Schoenhofer S, Tanioka T. Robots and Robotics in Nursing. Healthcare (Basel). 2022 Aug 18;10(8):1571. doi: 10.3390/healthcare10081571. PMID: 36011228; PMCID: PMC9407759.
Mirham L, Naugler C, Hayes M, Ismiil N, Belisle A, Sade S, Streutker C, MacMillan C, Rasty G, Popovic S, Joseph M, Gabril M, Barnes P, Hegele RG, Carter B, Yousef GM. Performance of residents using digital images versus glass slides on certification examination in anatomical pathology: a mixed methods pilot study. CMAJ Open. 2016 Feb 25;4(1):E88-94. doi: 10.9778/cmajo.20140075. PMID: 27280119; PMCID: PMC4866926.
Jahn SW, Plass M, Moinfar F. Digital Pathology: Advantages, Limitations and Emerging Perspectives. J Clin Med. 2020 Nov 18;9(11):3697. doi: 10.3390/jcm9113697. PMID: 33217963; PMCID: PMC7698715.
Oludare Isaac Abiodun, Moatsum Alawida, Abiodun Esther Omolara, Abdulatif Alabdulatif,
Data provenance for cloud forensic investigations, security, challenges, solutions and future perspectives: A survey, Journal of King Saud University - Computer and Information Sciences, Volume 34, Issue 10, Part B, 2022, Pages 10217-10245, ISSN 1319-1578, https://doi.org/10.1016/j.jksuci.2022.10.018
Davenport T, Kalakota R. The potential for artificial intelligence in healthcare. Future Healthc J. 2019 Jun;6(2):94-98. doi: 10.7861/futurehosp.6-2-94. PMID: 31363513; PMCID: PMC6616181.
Sheng JQ, Hu PJ, Liu X, Huang TS, Chen YH. Predictive Analytics for Care and Management of Patients With Acute Diseases: Deep Learning-Based Method to Predict Crucial Complication Phenotypes. J Med Internet Res. 2021 Feb 12;23(2):e18372. doi: 10.2196/18372. PMID: 33576744; PMCID: PMC7910123.
Giansanti D. Precision Medicine 2.0: How Digital Health and AI Are Changing the Game. Journal of Personalized Medicine. 2023; 13(7):1057. https://doi.org/10.3390/jpm13071057
Vijayan V, Connolly JP, Condell J, McKelvey N, Gardiner P. Review of Wearable Devices and Data Collection Considerations for Connected Health. Sensors (Basel). 2021 Aug 19;21(16):5589. doi: 10.3390/s21165589. PMID: 34451032; PMCID: PMC8402237.
Johnston L, Wang G, Hu K, Qian C, Liu G. Advances in Biosensors for Continuous Glucose Monitoring Towards Wearables. Front Bioeng Biotechnol. 2021 Aug 19;9:733810. doi: 10.3389/fbioe.2021.733810. PMID: 34490230; PMCID: PMC8416677.
Haleem A, Javaid M, Singh RP, Suman R. Telemedicine for healthcare: Capabilities, features, barriers, and applications. Sens Int. 2021;2:100117. doi: 10.1016/j.sintl.2021.100117. Epub 2021 Jul 24. PMID: 34806053; PMCID: PMC8590973.
Tarkan S, Plaisant C, Shneiderman B, Hettinger AZ. Reducing missed laboratory results: defining temporal responsibility, generating user interfaces for test process tracking, and retrospective analyses to identify problems. AMIA Annu Symp Proc. 2011;2011:1382-91. Epub 2011 Oct 22. PMID: 22195201; PMCID: PMC3243200.
Larkins MC, Thombare A. Point-of-Care Testing. [Updated 2023 May 29]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2023 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK592387/
St John A, Price CP. Existing and Emerging Technologies for Point-of-Care Testing. Clin Biochem Rev. 2014 Aug;35(3):155-67. PMID: 25336761; PMCID: PMC4204237.
Bayat A. Science, medicine, and the future: Bioinformatics. BMJ. 2002 Apr 27;324(7344):1018-22. doi: 10.1136/bmj.324.7344.1018. PMID: 11976246; PMCID: PMC1122955.
Kim HJ, Koedrith P, Seo YR. Ecotoxicogenomic Approaches for Understanding Molecular Mechanisms of Environmental Chemical Toxicity Using Aquatic Invertebrate, Daphnia Model Organism. International Journal of Molecular Sciences. 2015; 16(6):12261-12287. https://doi.org/10.3390/ijms160612261
Paliwal V, Chandra S, Sharma S. Blockchain Technology for Sustainable Supply Chain Management: A Systematic Literature Review and a Classification Framework. Sustainability. 2020; 12(18):7638. https://doi.org/10.3390/su12187638
IBM. Blockchain success starts here. https://www.ibm.com/topics/blockchain
de Haro-Olmo FJ, Varela-Vaca ÁJ, Álvarez-Bermejo JA. Blockchain from the Perspective of Privacy and Anonymisation: A Systematic Literature Review. Sensors (Basel). 2020 Dec 14;20(24):7171. doi: 10.3390/s20247171. PMID: 33327652; PMCID: PMC7765152.
Jahn SW, Plass M, Moinfar F. Digital Pathology: Advantages, Limitations and Emerging Perspectives. J Clin Med. 2020 Nov 18;9(11):3697. doi: 10.3390/jcm9113697. PMID: 33217963; PMCID: PMC7698715.
Johnson KB, Wei WQ, Weeraratne D, Frisse ME, Misulis K, Rhee K, Zhao J, Snowdon JL. Precision Medicine, AI, and the Future of Personalized Health Care. Clin Transl Sci. 2021 Jan;14(1):86-93. doi: 10.1111/cts.12884. Epub 2020 Oct 12. PMID: 32961010; PMCID: PMC7877825.
Goswami B, Singh B, Chawla R, Gupta VK, Mallika V. Turn Around Time (TAT) as a Benchmark of Laboratory Performance. Indian J Clin Biochem. 2010 Oct;25(4):376-9. doi: 10.1007/s12291-010-0056-4. Epub 2010 Sep 14. PMID: 21966108; PMCID: PMC2994570.
Ajami S, Bagheri-Tadi T. Barriers for Adopting Electronic Health Records (EHRs) by Physicians. Acta Inform Med. 2013;21(2):129-34. doi: 10.5455/aim.2013.21.129-134. PMID: 24058254; PMCID: PMC3766548.
Becatti M and Cho WC (2023) Editorial: Insights in molecular diagnostics and therapeutics: 2022. Front. Mol. Biosci. 10:1209844. doi: 10.3389/fmolb.2023.1209844
Institute of Medicine (US) Committee on Health Research and the Privacy of Health Information: The HIPAA Privacy Rule; Nass SJ, Levit LA, Gostin LO, editors. Beyond the HIPAA Privacy Rule: Enhancing Privacy, Improving Health Through Research. Washington (DC): National Academies Press (US); 2009. 2, The Value and Importance of Health Information Privacy. Available from: https://www.ncbi.nlm.nih.gov/books/NBK9579/
Institute of Medicine (US) Committee on Medicare Payment Methodology for Clinical Laboratory Services; Miller Wolman D, Kalfoglou AL, LeRoy L, editors. Medicare Laboratory Payment Policy: Now and in the Future. Washington (DC): National Academies Press (US); 2000. 3, Technology Trends in the Clinical Laboratory Industry. Available from: https://www.ncbi.nlm.nih.gov/books/NBK223043/
Metty Paul, Leandros Maglaras, Mohamed Amine Ferrag, Iman Almomani, Digitization of healthcare sector: A study on privacy and security concerns, ICT Express, Volume 9, Issue 4, 2023, Pages 571-588, ISSN 2405-9595, https://doi.org/10.1016/j.icte.2023.02.007 .
Bohr A, Memarzadeh K. The rise of artificial intelligence in healthcare applications. Artificial Intelligence in Healthcare. 2020:25–60. doi: 10.1016/B978-0-12-818438-7.00002-2. Epub 2020 Jun 26. PMCID: PMC7325854.
Nambiar B, Hargreaves DS, Morroni C, Heys M, Crowe S, Pagel C, Fitzgerald F, Pinheiro SF, Devakumar D, Mann S, Lakhanpaul M, Marshall M, Colbourn T. Improving health-care quality in resource-poor settings. Bull World Health Organ. 2017 Jan 1;95(1):76-78. doi: 10.2471/BLT.16.170803. Epub 2016 Nov 30. PMID: 28053367; PMCID: PMC5180347.