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. 2012 May 30;3(2):197-209.
doi: 10.4338/ACI-2012-02-RA-0005. Print 2012.

Health information exchange and ambulatory quality of care

L M Kern  1 , Y Barrón, R V Dhopeshwarkar, R Kaushal
Affiliations

Health information exchange and ambulatory quality of care

L M Kern et al. Appl Clin Inform. .

Abstract

Background: Health information exchange is a national priority, but there is limited evidence of its effectiveness.

Objective: We sought to determine the effect of health information exchange on ambulatory quality.

Methods: We conducted a retrospective cohort study over two years of 138 primary care physicians in small group practices in the Hudson Valley region of New York State. All physicians had access to an electronic portal, through which they could view clinical data (such as laboratory and radiology test results) for their patients over time, regardless of the ordering physician. We considered 15 quality measures that were being used by the community for a pay-for-performance program, as well as the subset of 8 measures expected to be affected by the portal. We adjusted for 11 physician characteristics (including health care quality at baseline).

Results: Nearly half (43%) of the physicians were portal users. Non-users performed at or above the regional benchmark on 48% of the measures at baseline and 49% of the measures at followup (p = 0.58). Users performed at or above the regional benchmark on 57% of the measures at baseline and 64% at follow-up (p<0.001). Use of the portal was independently associated with higher quality of care at follow-up for those measures expected to be affected by the portal (p = 0.01), but not for those not expected to be affected by the portal (p = 0.12).

Conclusions: Use of an electronic portal for viewing clinical data was associated with modest improvements in ambulatory quality.

Keywords: Health care quality; clinical informatics; quality indicators.

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Figures

Fig. 1
Fig. 1
Average ambulatory quality of care for a composite of 15 measures, stratified by time and use of the portal. Comparisons were made with t-tests and generated the following p-values: at follow-up (black bars) difference between non-users and users (49% vs. 64%, p<0.0001), and within users (grey bar vs. black bar) baseline vs. followup (57% vs. 64%, p<0.001).
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