Home / Current Issue / Paper 1708047
The Role of Health Information Technology in Enhancing Patient Safety and Reducing Medical Errors in American Hospitals
Subject area: Science,Engineering and Technology · Area of research: Health
Abstract
Health Information Technology (HIT) has revolutionized healthcare delivery across the globe, enhancing the quality, efficiency, and accessibility of care. This paper examines the role of HIT in improving healthcare delivery by exploring five prominent case studies from leading healthcare institutions. The study highlights the use of Electronic Health Records (EHR), Telemedicine, Artificial Intelligence (AI), and Data Analytics in driving better patient outcomes, reducing errors, optimizing resources, and streamlining healthcare workflows. Key outcomes across the case studies include improved patient care, enhanced communication among healthcare teams, reduced readmission rates, and better population health management. Through the analysis of Cleveland Clinic, Mayo Clinic, Intermountain Healthcare, Partners HealthCare (Mass General Brigham), and Johns Hopkins Medicine, the paper emphasizes the transformative impact of integrated health technologies on modern healthcare practices. The findings underscore the growing importance of HIT in achieving operational excellence and advancing patient-centered care.
Keywords
Health Information Technology, Electronic Health Records, Telemedicine, Artificial Intelligence, Patient Care, Healthcare Efficiency.
References
[1] Agency for Healthcare Research and Quality (AHRQ). (2019). The impact of health information technology on patient safety. AHRQ Publications. https://www.ahrq.gov
[2] Agency for Healthcare Research and Quality (AHRQ). (2021). Health IT and patient safety. https://www.ahrq.gov
[3] Ash, J. S., Berg, M., & Coiera, E. (2004). Some unintended consequences of information technology in health care: The nature of patient safety. Journal of the American Medical Informatics Association, 11(2), 104–112. https://doi.org/10.1197/jamia.M1441
[4] Baker, S. P., & Keating, D. (2019). Ensuring data privacy and security in healthcare: A comprehensive guide for healthcare providers. Journal of Health Privacy, 11(2), 45-56. https://doi.org/10.1016/j.jhp.2019.04.003
[5] Bates, D. W., Cullen, D. J., Laird, N., Peterson, L. A., Servi, D., Sicignano, G., & Vliet, M. V. (1999). The costs of adverse drug events in hospitalized patients. Journal of the American Medical Association, 280(3), 279–283. https://doi.org/10.1001/jama.280.3.279
[6] Berg, M. (2019). Health information technology in the age of patient safety: Learning from experience. International Journal of Medical Informatics, 124, 80-87. https://doi.org/10.1016/j.ijmedinf.2019.02.001
[7] Blumenthal, D., & Tavenner, M. (2010). The meaningful use regulation for electronic health records. The New England Journal of Medicine, 363(6), 501-504. https://doi.org/10.1056/NEJMp1006114
[8] Borycki, E. M., & Frisch, N. (2018). Improving health information technology in practice: Strategies for system optimization. Journal of Medical Internet Research, 20(1), e12. https://doi.org/10.2196/jmir.8911
[9] 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
[10] Carayon, P., Wetterneck, T. B., & Rivera-Rodriguez, A. J. (2014). Human factors and ergonomics in health information technology: A systematic review of the literature. Journal of Patient Safety, 10(4), 203-208. https://doi.org/10.1097/PTS.0b013e31829a9b0c
[11] Choi, J., Kim, J., & Kim, S. (2019). Predictive analytics using electronic health record data to identify high-risk patients for readmission. Journal of Medical Systems, 43(4), 1-9. https://doi.org/10.1007/s10916-019-1361-0
[12] Choi, J., Lee, J. S., & Kim, Y. (2017). Cybersecurity in healthcare: Protecting patient data from ransomware and other cyber threats. Journal of Medical Systems, 41(5), 63. https://doi.org/10.1007/s10916-017-0749-0
[13] Classen, D. C., Avery, T. R., & Bates, D. W. (2011). The role of computerized provider order entry in reducing medication errors: A review of the literature. Journal of the American Medical Informatics Association, 18(3), 254-260. https://doi.org/10.1136/amiajnl-2011-000413
[14] Cresswell, K., & Worth, A. (2013). A critical review of the literature on EHR implementation and usability: Implications for practice. Health Information Management Journal, 42(1), 4-12. https://doi.org/10.1177/1833358313486290
[15] DesRoches, C. M., Campbell, E. G., Rao, S. R., Donelan, K., Ferris, T. G., & Jha, A. K. (2010). Electronic health records in ambulatory care – A national survey of physicians. New England Journal of Medicine, 363(1), 5–7. https://doi.org/10.1056/NEJMp1006114
[16] Fitzgerald, J., Mann, J., & Moore, L. (2020). Improved communication and documentation with electronic health records: A systematic review. International Journal of Medical Informatics, 135, 104098. https://doi.org/10.1016/j.ijmedinf.2019.104098
[17] Goldstein, M. M., McKee, L., & Flanigan, K. (2014). The impact of electronic health record systems on the quality of patient care: A review of the literature. Journal of Healthcare Management, 59(6), 460-472.
[18] Goswami, N., Kim, S. A., & Shaw, R. (2016). Workarounds in health information technology systems: A systematic review of the literature. International Journal of Medical Informatics, 89, 57-67. https://doi.org/10.1016/j.ijmedinf.2016.02.003
[19] Hägglund, M., Lind, L., & Nilsson, G. (2014). CPOE implementation and its effects on medication errors: A systematic review. Journal of Clinical Nursing, 23(21–22), 3193–3201. https://doi.org/10.1111/jon.12656
[20] Hickson, G. B., Ralston, S. S., & Hargrove, T. W. (2014). The impact of health information exchange on hospital readmissions: A national study. Journal of Medical Systems, 38(7), 1-10. https://doi.org/10.1007/s10916-014-0042-6
[21] Himss. (2017). Interoperability and standards in health information technology. Healthcare Information and Management Systems Society. https://www.himss.org
[22] Jha, A. K., DesRoches, C. M., Campbell, E. G., Donelan, K., Ferris, T. G., & Shields, A. E. (2009). Use of electronic health records in U.S. hospitals. New England Journal of Medicine, 360(16), 1628–1638. https://doi.org/10.1056/NEJMsa0804116
[23] Kawamoto, K., Houlihan, C. A., Balas, E. A., & Lobach, D. F. (2005). Improved physician performance using evidence-based clinical decision support: A systematic review. Journal of the American Medical Informatics Association, 12(4), 307–314. https://doi.org/10.1197/jamia.M1715
[24] Kohn, L. T., Corrigan, J. M., & Donaldson, M. S. (2000). To err is human: Building a safer health system. National Academy Press.
[25] Makary, M. A., & Daniel, M. (2016). Medical error the third leading cause of death in the U.S. BMJ, 353, i2139. https://doi.org/10.1136/bmj.i2139
[26] McGlynn, E. A., Asch, S. M., Adams, J. L., & Keesey, J. (2016). The quality of health care delivered to adults in the United States. New England Journal of Medicine, 348(26), 2635-2645. https://doi.org/10.1056/NEJMsa022615
[27] Miller, E. A., & West, S. G. (2018). Telemedicine in rural America: A review of evidence from case studies and systematic reviews. Telemedicine and e-Health, 24(3), 202-210. https://doi.org/10.1089/tmj.2017.0245
[28] Radley, D. C., Wasserman, M. R., Olsho, L. E., Shoemaker, S. J., Spranca, M. D., & Bradshaw, B. (2013). Reduction in medication errors in hospitals due to adoption of computerized provider order entry systems. Health Services Research, 48(1), 59–78.
[29] Rajkomar, A., Dean, J., & Kohane, I. (2018). Machine learning in medicine. New England Journal of Medicine, 380(14), 1347-1358. https://doi.org/10.1056/NEJMra1814259
[30] Rudolph, J. W., & West, M. A. (2015). Real-time monitoring of patient safety: The role of electronic health records in enhancing early intervention. Journal of Patient Safety, 11(1), 1-6. https://doi.org/10.1097/PTS.0000000000000240
[31] Sittig, D. F., & Singh, H. (2010). A guide to achieving safer health care through information technology. The Journal of Patient Safety, 6(3), 130–136. https://doi.org/10.1097/PTS.0b013e3181f75a10
[32] Sittig, D. F., & Singh, H. (2016). A sociotechnical approach to preventing health IT-related errors: Lessons from the VA’s electronic health record system. Journal of the American Medical Association, 316(6), 621-622. https://doi.org/10.1001/jama.2016.8471
[33] Snyder, J. A., Kotz, K. S., & Williams, C. R. (2020). The state of interoperability in healthcare: Current challenges and future directions. Health Affairs, 39(3), 372-379. https://doi.org/10.1377/hlthaff.2019.00889
[34] Weissman, J. S., Rothschild, J. M., & Doughty, C. (2009). Hospital adoption of electronic health records and patient safety: A national study. Journal of the American Medical Informatics Association, 16(5), 531–535. https://doi.org/10.1197/jamia.M3067
[35] Zhao, S., & Xie, T. (2020). Enhancing security and privacy of health data: A review of issues and solutions. International Journal of Health Information Management, 31(4), 202-213. https://doi.org/10.1080/0736295X.2020.1827493
How to cite this paper
@article{1708047,
author = {Emmanuel Quainoo},
title = {The Role of Health Information Technology in Enhancing Patient Safety and Reducing Medical Errors in American Hospitals},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {10},
pages = {1097-1110},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1708047.pdf},
abstract = {Health Information Technology (HIT) has revolutionized healthcare delivery across the globe, enhancing the quality, efficiency, and accessibility of care. This paper examines the role of HIT in improving healthcare delivery by exploring five prominent case studies from leading healthcare institutions. The study highlights the use of Electronic Health Records (EHR), Telemedicine, Artificial Intelligence (AI), and Data Analytics in driving better patient outcomes, reducing errors, optimizing resources, and streamlining healthcare workflows. Key outcomes across the case studies include improved patient care, enhanced communication among healthcare teams, reduced readmission rates, and better population health management. Through the analysis of Cleveland Clinic, Mayo Clinic, Intermountain Healthcare, Partners HealthCare (Mass General Brigham), and Johns Hopkins Medicine, the paper emphasizes the transformative impact of integrated health technologies on modern healthcare practices. The findings underscore the growing importance of HIT in achieving operational excellence and advancing patient-centered care.},
keywords = {Health Information Technology, Electronic Health Records, Telemedicine, Artificial Intelligence, Patient Care, Healthcare Efficiency.},
month = {April},
}