<scp>EHR</scp> Adoption and Hospital Performance: Time‐Related Effects

Adler‐Milstein, Julia; Everson, Jordan; Lee, Shoou Yih D

doi:10.1111/1475-6773.12406

Cited by 86 publications

(75 citation statements)

References 27 publications

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“…Second, while we found no positive impact of MU on post‐acute utilization, others have found evidence of success in other areas, particularly improvement in inpatient quality indicators and patient satisfaction (Adler‐Milstein, Everson, and Lee ). Further, we evaluated the first 18 months of the Medicare EHR Incentive Program.…”

Section: Discussioncontrasting

confidence: 80%

Meaningful Use and Hospital Performance on Post‐Acute Utilization Indicators

Ph.D.

Joynt

Tompkins

et al. 2017

Health Services Research

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Hospitals with MU Stage 1 designation did not show significantly higher improvement on post-acute utilization compared to their counterparts without. To achieve gains in quality and safety, potentially associated with EHRs, and to advance care coordination and patient engagement, the regulators should strengthen accountability by linking comprehensive, outcomes-based performance measures to specific MU objectives.

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Section: Discussioncontrasting

confidence: 80%

Meaningful Use and Hospital Performance on Post‐Acute Utilization Indicators

Ph.D.

Joynt

Tompkins

et al. 2017

Health Services Research

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“…As U.S. health IT practices have undergone dramatic changes since 2010 because of HITECH, there is now a significant need to consider more recent data in empirical analyses. With this more recent data, Adler-Milstein et al (2015) found a positive relation between EHR adoption and hospital quality performance. More important, they found that the relationship was stronger in the second half of their panel data (2011 and 2012).…”

Section: Measuring Quality Effects Of Ehrs In Hospitalsmentioning

confidence: 77%

Do Electronic Health Records Affect Quality of Care? Evidence from the HITECH Act

Lin

Chen

2019

Information Systems Research

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The 2009 Health Information Technology for Economic and Clinical Health (HITECH) Act is landmark legislation that places electronic health record (EHR) technologies at the center of health system reform in the United States. This study leverages the meaningful use (MU) provisions of the HITECH Act to quantify different degrees of EHR use in a large and heterogeneous set of hospitals and investigates the impact of EHR use on quality of care. The results provide evidence of EHRs’ positive quality effects and reconcile earlier mixed findings in the EHR evaluation literature by showing that their benefits vary according to different levels of use and hospital characteristics. The effect sizes were larger in disadvantaged (i.e., small and rural) hospitals, suggesting the potential of EHRs in mitigating the disparities in the quality of healthcare.

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“…However, recent studies on the impact of health IT on patient-level health outcomes have yielded mixed evidence. For example, Bardhan and Thouin (2013) and Adler-Milstein et al (2015) report that EHR adoption is associated with better hospital performance, measured in terms of greater adherence to process quality and increased patient satisfaction. DesRoches et al (2010) report that adoption of electronic health records (EHR) does not significantly change 30-day readmission rates, for diagnoses such as acute myocardial infarction (AMI) and congestive heart failure (CHF).…”

Section: Health It and Readmission Riskmentioning

confidence: 99%

Sooner or Later? Health Information Technology, Length of Stay, and Readmission Risk

Zheng

Bardhan

2018

Production and Operations Management

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Adequate length of stay (LOS) during hospitalization is not only a critical determinant of quality of care, but can be a useful predictor of the risk of future readmissions. Recent studies have shown alarming evidence that the United States leads developed nations in terms of shorter hospital stays, rendering patients with greater risk of future readmissions. We focus on deviation between hospital LOS and the geometric mean LOS (GMLOS), a guideline for care delivery stipulated by the Centers for Medicare and Medicaid Services (CMS). Our objective is to establish the relationship between LOS and readmission risk, examine the role of health IT in reducing the deviation of LOS, and address cost trade‐offs between early discharges and readmissions. Based on a large panel of congestive heart failure (CHF) patients during a 4‐year period, we find that implementation of health IT applications is associated with a reduction in the deviation between LOS and GMLOS. This deviation is associated with a significant increase in future 30‐day readmission risk. Patients whose inpatient stays are shorter than the GMLOS guideline, by 1 day or more, are likely to exhibit a 1.1% greater risk of readmission, and even shorter stays are likely to further exacerbate their readmission risk. Further, we find that the total readmission costs are much higher than the costs incurred in keeping patients longer during their initial hospital visit. Our results have important policy implications for providers and hospital administrators with respect to their discharge policies of CHF patients.

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EHR Adoption and Hospital Performance: Time‐Related Effects

Abstract: Performance gains associated with EHR adoption are apparent in more recent years. The large national investment in EHRs appears to be delivering more consistent benefits than indicated by earlier national studies.

Cited by 86 publications

References 27 publications

Meaningful Use and Hospital Performance on Post‐Acute Utilization Indicators

Meaningful Use and Hospital Performance on Post‐Acute Utilization Indicators

Do Electronic Health Records Affect Quality of Care? Evidence from the HITECH Act

Sooner or Later? Health Information Technology, Length of Stay, and Readmission Risk

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