Abstract
Computer applications that collect, organize, interpret, and/or deliver biomedical data and information have been a critical component of biomedical informatics from the beginning of the field. Software applications are often the mechanism whereby advances in the field become activated. As the variety, complexity and breadth of the software tools have changed, considerations about the process and scope of software development has also evolved. Prominent among this evolution has been the development of electronic health records. With the movement of EHRs to predominantly purchased solutions, software engineering has adapted to new approaches that are supporting continued customized software development.
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Notes
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7 https://dashboard.healthit.gov/quickstats/pages/FIG-Vendors-of-EHRs-to-Participating-Hospitals.php (last accessed June 3, 2020).
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7 https://cds-hooks.org/ (last accessed June 3, 2020).
References
Adler-Milstein, J., Lin, S. C., & Jha, A. K. (2016). The number of health information exchange efforts is declining, leaving the viability of broad clinical data exchange uncertain. Health Affairs, 35(7), 1278–1285.
Bates, D. W. (2006). Invited commentary: The road to implementation of the electronic health record. Proceedings (Baylor University. Medical Center), 19(4), 311–312.
Bates, D. W., Leape, L. L., et al. (1998). Effect of computerized physician order entry and a team intervention on prevention of serious medication errors. JAMA, 280(15), 1311–1316.
Beck, K., Beedle, M., et al. (2001). Manifesto for agile software development. 2012, from agilemanifesto.org.
Blumenthal, D., & Tavenner, M. (2010). The “meaningful use” regulation for electronic health records. The New England Journal of Medicine, 363(6), 501–504.
Campanella, P., Lovato, E., Marone, C., Fallacara, L., Mancuso, A., Ricciardi, W., & Specchia, M. L. (2016). The impact of electronic health records on healthcare quality: A systematic review and meta-analysis. European Journal of Public Health, 26(1), 60–64.
Chaudhry, B., Wang, J., et al. (2006). Systematic review: Impact of health information technology on quality, efficiency, and costs of medical care. Annals of Internal Medicine, 144(10), 742–752.
Dupuits, F. M. (1994). The use of the Arden Syntax for MLMs in HIOS+, a decision support system for general practitioners in The Netherlands. Computers in Biology and Medicine, 24(5), 405–410.
Evans, R. S., Pestotnik, S. L., et al. (1998). A computer-assisted management program for antibiotics and other antiinfective agents. The New England Journal of Medicine, 338(4), 232–238.
Fred, M., Vawdrey, D., et al. (2009). Enhancing a commercial electronic health record with a novel patient handoff application. Society of Hospital Medicine (SHM) Annual Meeting, Chicago, IL.
Han, Y. Y., Carcillo, J. A., et al. (2005). Unexpected increased mortality after implementation of a commercially sold computerized physician order entry system. Pediatrics, 116(6), 1506–1512.
Hripcsak, G., Kuperman, G. J., et al. (1998). Extracting findings from narrative reports: Software transferability and sources of physician disagreement. Methods of Information in Medicine, 37(1), 1–7.
Hunt, D. L., Haynes, R. B., et al. (1998). Effects of computer-based clinical decision support systems on physician performance and patient outcomes: A systematic review. JAMA, 280(15), 1339–1346.
Jenders, R. A. (2008). Suitability of the Arden Syntax for representation of quality indicators. American Medical Informatics Association Annual Symposium Proceedings, 991.
Jenders, R. A., & Shah, A. (2001). Challenges in using the Arden Syntax for computer-based nosocomial infection surveillance. In Proceedings of the AMIA Symposium (pp. 289–293). American Medical Informatics Association.
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.
Kawamoto, K., Kukhareva, P., Shakib, J. H., Kramer, H., Rodriguez, S., Warner, P. B., Shields, D., Weir, C., Fiol, G. D., Taft, T., & Stipelman, C. H. (2019). Association of an electronic health record add-on app for neonatal bilirubin management with physician efficiency and care quality. JAMA Network Open, 2(11), e1915343–e1915343.
Leavitt, M., & Gallagher, L. (2006). The EHR seal of approval: CCHIT introduces product certification to spur EHR adoption. Journal of AHIMA, 77(5), 26–30, quiz 33–24.
Mandel, J. C., Kreda, D. A., Mandl, K. D., Kohane, I. S., & Ramoni, R. B. (2016). SMART on FHIR: A standards-based, interoperable apps platform for electronic health records. Journal of the American Medical Informatics Association, 23(5), 899–908.
McConnell, S. (1996). Rapid development : Taming wild software schedules/Steve McConnell. Redmond, Wash: Microsoft Press.
Office of the National Coordinator for Health Information Technology (ONC). (2017a). Certified health IT developers and editions reported by hospitals participating in the medicare EHR incentive program, Health IT Quick-Stat #29. dashboard.healthit.gov/quickstats/pages/FIG-Vendors-of-EHRs-to-Participating-Hospitals.php. July 2017.
Office of the National Coordinator for Health Information Technology (ONC). (2017b). Non-federal acute care hospital electronic health record adoption, Health IT Quick-Stat #47. dashboard.healthit.gov/quickstats/pages/FIG-Hospital-EHR-Adoption.php. September 2017.
Office of the National Coordinator for Health Information Technology (ONC). (2019a). Office-based physician electronic health record adoption, Health IT Quick-Stat #50. dashboard.healthit.gov/quickstats/pages/physician-ehr-adoption-trends.php. January 2019.
Office of the National Coordinator for Health Information Technology (ONC). (2019b). Trusted exchange framework and common agreement | HealthIT.gov. (2019). Retrieved February 2020, from https://www.healthit.gov/topic/interoperability/trusted-exchange-framework-and-common-agreement
Ohno-Machado, L., Wang, S. J., et al. (1999). Decision support for clinical trial eligibility determination in breast cancer. In Proceedings of the AMIA symposium (pp. 340–344). American Medical Informatics Association.
Pryor, T. A., & Hripcsak, G. (1993). The Arden syntax for medical logic modules. International Journal of Clinical Monitoring and Computing, 10(4), 215–224.
Shekelle, P. G., Morton, S. C., et al. (2006). Costs and benefits of health information technology. Evid Rep Technol Assess (Full Rep), 132(April), 1–71.
Smelcer, J., Miller-Jacobs, H., et al. (2009). Usability of electronic medical records. Journal of Usability Studies, 4(2), 70–84.
Sullivan, T. (2017). Coast guard seeks new EHR vendor after failed epic implementation. Healthcare IT news. https://www.healthcareitnews.com/news/coast-guard-seeks-new-ehr-vendor-after-failed-epic-implementation.
Thompson, C.B., Snyder-Halpern, R., & Staggers, N. (1999). Clinical informatics case studies: Analysis, processes, and techniques. Computers in Nursing, 17(5), 203–206.
Washington, V., DeSalvo, K., et al. (2017). The HITECH era and the path forward. The New England Journal of Medicine, 377, 904–906.
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Wilcox, A.B., Vawdrey, D.K., Kawamoto, K. (2021). Software Engineering for Health Care and Biomedicine. In: Shortliffe, E.H., Cimino, J.J. (eds) Biomedical Informatics. Springer, Cham. https://doi.org/10.1007/978-3-030-58721-5_6
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