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Impact of the HITECH act on physicians’ adoption of electronic health records

Stephen T Mennemeyer, Nir Menachemi, Saurabh Rahurkar, Eric W Ford
DOI: http://dx.doi.org/10.1093/jamia/ocv103 ocv103 First published online: 30 July 2015

Abstract

Background and Objective The Health Information Technology for Economic and Clinical Health (HITECH) Act has distributed billions of dollars to physicians as incentives for adopting certified electronic health records (EHRs) through the meaningful use (MU) program ultimately aimed at improving healthcare outcomes. The authors examine the extent to which the MU program impacted the EHR adoption curve that existed prior to the Act.

Methods Bass and Gamma Shifted Gompertz (G/SG) diffusion models of the adoption of “Any” and “Basic” EHR systems in physicians’ offices using consistent data series covering 2001–2013 and 2006–2013, respectively, are estimated to determine if adoption was stimulated during either a PrePay (2009–2010) period of subsidy anticipation or a PostPay (2011–2013) period when payments were actually made.

Results Adoption of Any EHR system may have increased by as much as 7 percentage points above the level predicted in the absence of the MU subsidies. This estimate, however, lacks statistical significance and becomes smaller or negative under alternative model specifications. No substantial effects are found for Basic systems. The models suggest that adoption was largely driven by “imitation” effects (q-coefficient) as physicians mimic their peers’ technology use or respond to mandates. Small and often insignificant “innovation” effects (p-coefficient) are found suggesting little enthusiasm by physicians who are leaders in technology adoption.

Conclusion The authors find weak evidence of the impact of the MU program on EHR uptake. This is consistent with reports that many current EHR systems reduce physician productivity, lack data sharing capabilities, and need to incorporate other key interoperability features (e.g., application program interfaces).

  • American recovery and reinvestment act
  • health information technology
  • electronic health records
  • bass model
  • technology adoption
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