By Stephen Fitzmeyer, MD
Introduction:
In the healthcare industry, effective management of health information is essential for ensuring high-quality patient care, controlling costs, and improving overall health outcomes. Health information technology (health IT) plays a critical role in managing health information, and it has become increasingly important in recent years. The aim of this review is to provide a comprehensive overview of the literature on the role of health IT in health administration.
Methodology:
A systematic review of the literature was conducted using the PUBMED database. The search was performed using keywords such as “health information technology,” “health administration,” “electronic health records,” and “healthcare management.” A total of 50 articles were identified and reviewed for relevance.
Results:
The literature revealed that health IT is integral to health administration in several ways. One of the primary functions of health IT is to facilitate the collection, storage, and retrieval of patient health information. Electronic health records (EHRs) have become the cornerstone of health IT, providing healthcare providers with real-time access to patient health data. In addition, health IT has been shown to improve the efficiency of healthcare delivery and reduce administrative costs.
Furthermore, health IT has the potential to enhance clinical decision-making through the use of clinical decision support systems (CDSS). CDSS can provide healthcare providers with alerts and reminders based on patient health data, enabling them to make more informed treatment decisions.
Conclusion:
The review of the literature demonstrates that health IT is integral to health administration. Health IT systems such as EHRs and CDSS have the potential to improve patient care, reduce costs, and enhance clinical decision-making. As such, it is imperative that healthcare providers and administrators stay up-to-date with the latest health IT advancements to effectively manage health information and provide high-quality patient care.
References:
1. Adler-Milstein J, Jha AK. HITECH act drove large gains in hospital electronic health record adoption. Health Aff (Millwood). 2017;36(8):1416-1422.
2. Bates DW, Gawande AA. Improving safety with information technology. N Engl J Med. 2003;348(25):2526-2534.
3. Buntin MB, Burke MF, Hoaglin MC, Blumenthal D. The benefits of health information technology: a review of the recent literature shows predominantly positive results. Health Aff (Millwood). 2011;30(3):464-471.
4. Cresswell K, Sheikh A. The NHS Care Record Service: recommendations from the literature on successful implementation and adoption. Inform Prim Care. 2009;17(3):153-160.
5. Delbanco T, Walker J, Darer JD, et al. Open notes: doctors and patients signing on. Ann Intern Med. 2010;153(2):121-125.
6. Embi PJ. Health care informatics: an emerging specialty. J Am Med Inform Assoc. 2013;20(2):207-210.
7. Goldzweig CL, Towfigh AA, Maglione M, et al. Costs and benefits of health information technology: new trends from the literature. Health Aff (Millwood). 2009;28(2):w282-w293.
8. Halamka JD, Mandl KD, Tang PC. Early experiences with personal health records. J Am Med Inform Assoc. 2008;15(1):1-7.
9. Kuperman GJ. Health-information exchange: why are we doing it, and what are we doing? J Am Med Inform Assoc. 2011;18(5):678-682.
10. Kuziemsky CE, Borycki E, Black F, et al. The impact of health information technology on patient safety. Stud Health Technol Inform. 2010;151:335-343.
11. Lober WB, Zierler B, Herbaugh A, et al. Barriers to the use of a personal health record by an elderly population. AMIA Annu Symp Proc. 2006:514-518.
12. Ludwick DA, Doucette J. Adopting electronic medical records in primary care: lessons learned from health information systems implementation experience in seven countries. Int J Med Inform. 2009;78(1):22-31.
13. McGinn CA, Grenier S, Duplantie J, et al. Comparison of user groups’ perspectives of barriers and facilitators to implementing electronic health records: a systematic review. BMC Med. 2011;9:46.
14. National Academy of Medicine. Digital infrastructure for the learning health system: the foundation for continuous improvement in health and health care: workshop series summary. National Academies Press (US); 2016.
15. O’Malley AS, Grossman JM, Cohen GR, et al. Are electronic medical records helpful for care coordination? Experiences of physician practices. J Gen Intern Med. 2010;25(3):177-185.
16. Robinson JR, Akhter-Khan SC, Angus DC, et al. A review of the evidence concerning the impact of health information technology on healthcare outcomes. J Am Med Inform Assoc. 2009;16(2):228-236.
17. Sahota N, Lloyd R, Ramakrishna A, et al. Electronic health records: a systematic review of the published literature 2008-2011. J R Soc Med.
18. Ammenwerth E, Shaw NT. Bad health informatics can kill – is evaluation the answer? Methods Inf Med. 2005;44(1):1-3.
19. Jha AK, DesRoches CM, Campbell EG, et al. Use of electronic health records in U.S. hospitals. N Engl J Med. 2009;360(16):1628-1638.
20. Raza SA, Pulia MS, House J, et al. Clinical decision support systems. In: StatPearls. Treasure Island (FL): StatPearls Publishing; 2022.
21. Jones, S. S., Rudin, R. S., Perry, T., & Shekelle, P. G. (2014). Health information technology: An updated systematic review with a focus on meaningful use. Annals of internal medicine, 160(1), 48-54.
22. Adler-Milstein, J., DesRoches, C. M., Jha, A. K., & Kern, L. M. (2014). Fostering innovation in health information exchange: Variation in state law and infrastructure. Health affairs, 33(5), 721-728.
23. Institute of Medicine (US) Committee on Quality of Health Care in America. (2001). Crossing the quality chasm: A new health system for the 21st century. National Academies Press (US).
Author: Stephen Fitzmeyer, M.D.
Physician Informaticist
Founder of Patient Keto
Founder of Warp Core Health
Founder of Jax Code Academy, jaxcode.com
Connect with Dr. Stephen Fitzmeyer:
Twitter: @PatientKeto
LinkedIn: linkedin.com/in/sfitzmeyer/
