An economic evaluation of the expansion of electronic case reporting in an academic healthcare setting

Author:

Hartsell Joel12ORCID,Wilson Fernando A134ORCID,Shoaf Kimberley5ORCID,Dunn Angela6ORCID,Samore Matthew H78ORCID,Staes Catherine Janes910ORCID

Affiliation:

1. Department of Population Health Sciences, University of Utah , Salt Lake City, UT 84112, United States

2. Department of Public Health Informatics, Epi-Vant , Salt Lake City, UT 84092, United States

3. Department of Economics, University of Utah , Salt Lake City, UT 84112, United States

4. Matheson Center for Health Care Studies, University of Utah Health , Salt Lake City, UT 84112, United States

5. Division of Public Health, University of Utah , Salt Lake City, UT 84112, United States

6. Salt Lake County Health Department , Salt Lake City, UT 84112, United States

7. Department of Internal Medicine, University of Utah , Salt Lake City, UT, United States

8. Veteran Affairs , Salt Lake City, UT, United States

9. College of Nursing, University of Utah , Salt Lake City, UT 84112, United States

10. Department of Biomedical Informatics, Spencer Fox Eccles School of Medicine, University of Utah , Salt Lake City, UT 84108, United States

Abstract

Abstract Objectives Determine the economic cost or benefit of expanding electronic case reporting (eCR) for 29 reportable conditions beyond the initial eCR implementation for COVID-19 at an academic health center. Materials and methods The return on investment (ROI) framework was used to quantify the economic impact of the expansion of eCR from the perspective of an academic health system over a 5-year time horizon. Sensitivity analyses were performed to assess key factors such as personnel cost, inflation, and number of expanded conditions. Results The total implementation costs for the implementation year were estimated to be $5031.46. The 5-year ROI for the expansion of eCR for the 29 conditions is expected to be 142% (net present value of savings: $7166). Based on the annual ROI, estimates suggest that the savings from the expansion of eCR will cover implementation costs in approximately 4.8 years. All sensitivity analyses yielded a strong ROI for the expansion of eCR. Discussion and conclusion Our findings suggest a strong ROI for the expansion of eCR at UHealth, with the most significant cost savings observed implementing eCR for all reportable conditions. An early effort to ensure data quality is recommended to expedite the transition from parallel reporting to production to improve the ROI for healthcare organizations. This study demonstrates a positive ROI for the expansion of eCR to additional reportable conditions beyond COVID-19 in an academic health setting, such as UHealth. While this evaluation focuses on the 5-year time horizon, the potential benefit could extend further.

Publisher

Oxford University Press (OUP)

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