Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Multicenter Study
. 2010 May-Jun;17(3):237-44.
doi: 10.1136/jamia.2009.002303.

Evaluating a scalable model for implementing electronic health records in resource-limited settings

Affiliations
Multicenter Study

Evaluating a scalable model for implementing electronic health records in resource-limited settings

Martin C Were et al. J Am Med Inform Assoc. 2010 May-Jun.

Abstract

Current models for implementing electronic health records (EHRs) in resource-limited settings may not be scalable because they fail to address human-resource and cost constraints. This paper describes an implementation model which relies on shared responsibility between local sites and an external three-pronged support infrastructure consisting of: (1) a national technical expertise center, (2) an implementer's community, and (3) a developer's community. This model was used to implement an open-source EHR in three Ugandan HIV-clinics. Pre-post time-motion study at one site revealed that Primary Care Providers spent a third less time in direct and indirect care of patients (p<0.001) and 40% more time on personal activities (p=0.09) after EHRs implementation. Time spent by previously enrolled patients with non-clinician staff fell by half (p=0.004) and with pharmacy by 63% (p<0.001). Surveyed providers were highly satisfied with the EHRs and its support infrastructure. This model offers a viable approach for broadly implementing EHRs in resource-limited settings.

PubMed Disclaimer

Conflict of interest statement

Competing interests: None.

Figures

Figure 1
Figure 1
An implementation model for EHRs in resource-limited settings. Support for multiple local implementations is provided by a single external support resource made of a national technical expertise center, the developers' community and the implementers' community.
Figure 2
Figure 2
Implementation sites: 1–Mbarara, 2–Masaka; and 3–Mbale. The national technical expertise center serving all three implementation sites was in Kampala.
Figure 3
Figure 3
User satisfaction with the electronic health records (EHRs) and the support infrastructure in place at the three implementation sites.

References

    1. Fraser HS, Biondich P, Moodley D, et al. Implementing electronic medical record systems in developing countries. Inform Prim Care 2005;13:83–95 - PubMed
    1. Williams F, Boren SA, Williams F, et al. The role of the electronic medical record (EMR) in care delivery development in developing countries: a systematic review. Inform Prim Care 2008;16:139–45 - PubMed
    1. Kantor GS, Wilson WD, Midgley A, et al. Open-source software and the primary care EMR (comment). J Am Med Inform Assoc 2003;10:616; author reply, 7. - PMC - PubMed
    1. Mamlin BW, Biondich PG, Wolfe BA, et al. Cooking up an open source EMR for developing countries: OpenMRS – a recipe for successful collaboration. AMIA Annu Symp Proc 2006:529–33 - PMC - PubMed
    1. Tierney WM, Rotich JK, Hannan TJ, et al. The AMPATH medical record system: creating, implementing, and sustaining an electronic medical record system to support HIV/AIDS care in western Kenya. Medinfo 2007;12(Pt 1):372–6 - PubMed

Publication types

MeSH terms