Modeling return on investment for an electronic medical record system in Lilongwe, Malawi

Julia Driessen, Marco Cioffi, Noor Alide, Zach Landis-Lewis, Gervase Gamadzi, Oliver Jintha Gadabu, Gerald Douglas, Julia Driessen, Marco Cioffi, Noor Alide, Zach Landis-Lewis, Gervase Gamadzi, Oliver Jintha Gadabu, Gerald Douglas

Abstract

Objective: To model the financial effects of implementing a hospital-wide electronic medical record (EMR) system in a tertiary facility in Malawi.

Materials and methods: We evaluated three areas of impact: length of stay, transcription time, and laboratory use. We collected data on expenditures in these categories under the paper-based (pre-EMR) system, and then estimated reductions in each category based on findings from EMR systems in the USA and backed by ambulatory data from low-income settings. We compared these potential savings accrued over a period of 5 years with the costs of implementing the touchscreen point-of-care EMR system at that site.

Results: Estimated cost savings in length of stay, transcription time, and laboratory use totaled US$284 395 annually. When compared with the costs of installing and sustaining the EMR system, there is a net financial gain by the third year of operation. Over 5 years the estimated net benefit was US$613 681.

Discussion: Despite considering only three categories of savings, this analysis demonstrates the potential financial benefits of EMR systems in low-income settings. The results are robust to higher discount rates, and a net benefit is realized even under more conservative assumptions.

Conclusions: This model demonstrates that financial benefits could be realized with an EMR system in a low-income setting. Further studies will examine these and other categories in greater detail, study the financial effects at different levels of organization, and benefit from post-implementation data. This model will be further improved by substituting its assumptions for evidence as we conduct more detailed studies.

Keywords: Cost Savings; Economics; Electronic Medical Records; Low-Income Population; Malawi.

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Source: PubMed

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