HIM 500 Module 2 History Short Paper Example

Five Turning Points: A History of Clinical Information Systems and What It Teaches Bramble Bay

[Student Name]

Southern New Hampshire University

HIM 500: Healthcare Informatics

Module Two Short Paper

[Instructor Name]

[Date]

The organization, setting and figures below are a composite written as a model document. No real employer, client, colleague or patient is described.

Five Turning Points: A History of Clinical Information Systems and What It Teaches Bramble Bay

Bramble Bay Medical Center's record system is thirteen years old, and leaders are now weighing new tools, from ambient documentation to expanded decision support. History offers a useful check on enthusiasm. The same promises now made for artificial intelligence were once made for computerized records, and some came true while others did not. Five moments in the American story of clinical computing are examined here, each paired with a lesson for Bramble Bay's next decisions.

Turning Point 1: Decision Support Built Into Care

Some of the most ambitious clinical systems appeared decades before national adoption. At LDS Hospital in Salt Lake City, the HELP system combined a patient database with a knowledge base of medical logic, so that the computer could generate alerts, interpretations and suggestions as data arrived. Pryor et al. (1983) described a system that did not wait for clinicians to ask questions but watched incoming data and raised concerns, an approach that anticipated modern decision support by a generation. HELP's lesson is that decision support works best when designed together with the data it depends on and the clinicians who use it, which was possible in an academic setting with its own developers.

Turning Point 2: A Record Built by Clinicians

The Veterans Health Administration took a different path. Its VistA system was developed largely in-house, with clinicians involved in design, and spread across a national network of medical centers. Brown et al. (2003) described how VistA and its clinical interface made electronic ordering, notes, results and images available across the system, supporting quality improvement at scale. VistA showed that a large public system could run on a shared electronic record long before most private hospitals did. Its lesson for Bramble Bay is that clinician involvement in design shapes whether a system is used well, a point that later research on usability confirms.

Turning Point 3: Evidence That Computers Prevent Errors

In the 1990s, research began to show measurable safety benefits. Bates et al. (1998) found that computerized physician order entry at a Boston teaching hospital cut serious medication errors that were not intercepted by 55%. Kuperman and Gibson (2003) reviewed the benefits, costs and implementation issues of order entry and concluded that its safety and efficiency gains were real but depended on decision support, careful implementation and attention to physicians' workload. The lesson is that benefits come from the logic and workflow built around a system, not from the system alone.

Turning Point 4: Low Adoption and Federal Incentives

Despite this evidence, adoption lagged. Jha et al. (2009) surveyed US hospitals in 2008 and found that only 1.5% had a comprehensive electronic record system and 7.6% had a basic one. The HITECH Act of 2009 responded with incentive payments tied to meaningful use. Blumenthal and Tavenner (2010) explained the final rule's structure of core and menu objectives and described incentive payments that could reach $44,000 per eligible professional under Medicare. Adler-Milstein and Jha (2017) later found that the law drove large gains in hospital adoption, with eligible hospitals adopting far faster after it passed.

The story has a complication. Everson et al. (2020) argued that the widely cited 9% basic adoption figure used a demanding definition and understated the electronic capabilities many hospitals already had, which suggests that some of HITECH's apparent effect reflected upgrading rather than first adoption. For Bramble Bay, which installed its system in 2012 to meet incentive deadlines, the lesson is that systems configured to satisfy a rule may need reconfiguring to serve care.

Turning Point 5: From Adoption to Exchange and Usability

Once most hospitals had records, attention turned to what they could do together and how they felt to use. The 21st Century Cures Act of 2016 targeted information blocking and required standard interfaces so that patients and other providers could access data, and later federal rules pushed application programming interfaces built on the FHIR standard into every certified system. Usability became a safety topic as research linked poor design to errors and clinician burden, and documentation time, sometimes measured in hours after the clinic closes, became a leading complaint among physicians. Payment reforms that reward population health added pressure to use data across settings rather than only inside one hospital's walls. Bramble Bay's own situation, exchanging records with only two of six regional hospitals and overriding 91% of medication alerts, places it squarely in this fifth stage.

Timeline

Table 1 summarizes the turning points and their lessons.

Table 1. Turning Points in Clinical Information Systems

Note. Compiled by the author from the sources cited.

What History Suggests for New Tools

Every stage produced two kinds of results: benefits that came when design, data and clinicians were aligned and disappointments when technology was expected to deliver value by itself. Bramble Bay's vendor is now offering ambient documentation and expanded decision support. History suggests asking the questions HELP, VistA and the order entry studies raise: who designs the logic, how clinicians are involved, what evidence shows benefit in settings like ours and how we will measure results. Adopting quickly to capture a vendor discount would repeat the 2012 pattern of configuring for a deadline.

Conclusion

The history of clinical information systems is a history of promises tested by evidence. Early academic and federal systems showed what integrated records could do, research showed where benefits came from and national incentives made records nearly universal without guaranteeing that they were used well. For Bramble Bay, the history argues for evaluating new tools against defined needs and evidence, the process Milestone One will develop.

References

Adler-Milstein, J., & Jha, A. K. (2017). HITECH Act drove large gains in hospital electronic health record adoption. Health Affairs, 36(8), 1416-1422. https://doi.org/10.1377/hlthaff.2016.1651

Bates, D. W., Leape, L. L., Cullen, D. J., Laird, N., Petersen, L. A., Teich, J. M., Burdick, E., Hickey, M., Kleefield, S., Shea, B., Vander Vliet, M., & Seger, D. L. (1998). Effect of computerized physician order entry and a team intervention on prevention of serious medication errors. JAMA, 280(15), 1311-1316. https://doi.org/10.1001/jama.280.15.1311

Blumenthal, D., & Tavenner, M. (2010). The "meaningful use" regulation for electronic health records. New England Journal of Medicine, 363(6), 501-504. https://doi.org/10.1056/NEJMp1006114

Brown, S. H., Lincoln, M. J., Groen, P. J., & Kolodner, R. M. (2003). VistA: U.S. Department of Veterans Affairs national-scale HIS. International Journal of Medical Informatics, 69(2-3), 135-156. https://doi.org/10.1016/S1386-5056(02)00131-4

Everson, J., Rubin, J. C., & Friedman, C. P. (2020). Reconsidering hospital EHR adoption at the dawn of HITECH: Implications of the reported 9% adoption of a "basic" EHR. Journal of the American Medical Informatics Association, 27(8), 1198-1205. https://doi.org/10.1093/jamia/ocaa090

Jha, A. K., DesRoches, C. M., Campbell, E. G., Donelan, K., Rao, S. R., Ferris, T. G., Shields, A., Rosenbaum, S., & Blumenthal, D. (2009). Use of electronic health records in U.S. hospitals. New England Journal of Medicine, 360(16), 1628-1638. https://doi.org/10.1056/NEJMsa0900592

Kuperman, G. J., & Gibson, R. F. (2003). Computer physician order entry: Benefits, costs, and issues. Annals of Internal Medicine, 139(1), 31-39. https://doi.org/10.7326/0003-4819-139-1-200307010-00010

Pryor, T. A., Gardner, R. M., Clayton, P. D., & Warner, H. R. (1983). The HELP system. Journal of Medical Systems, 7(2), 87-102. https://doi.org/10.1007/BF00995116