Literature DB >> 26596789

Investment subsidies and the adoption of electronic medical records in hospitals.

David Dranove1, Craig Garthwaite2, Bingyang Li3, Christopher Ody4.   

Abstract

In February 2009 the U.S. Congress unexpectedly passed the Health Information Technology for Economic and Clinical Health Act (HITECH). HITECH provides up to $27 billion to promote adoption and appropriate use of Electronic Medical Records (EMR) by hospitals. We measure the extent to which HITECH incentive payments spurred EMR adoption by independent hospitals. Adoption rates for all independent hospitals grew from 48 percent in 2008 to 77 percent by 2011. Absent HITECH incentives, we estimate that the adoption rate would have instead been 67 percent in 2011. When we consider that HITECH funds were available for all hospitals and not just marginal adopters, we estimate that the cost of generating an additional adoption was $48 million. We also estimate that in the absence of HITECH incentives, the 77 percent adoption rate would have been realized by 2013, just 2 years after the date achieved due to HITECH.
Copyright © 2015 Elsevier B.V. All rights reserved.

Keywords:  Electronic medical records; Hospitals; Investment subsidies

Mesh:

Year:  2015        PMID: 26596789     DOI: 10.1016/j.jhealeco.2015.10.001

Source DB:  PubMed          Journal:  J Health Econ        ISSN: 0167-6296            Impact factor:   3.883


  10 in total

1.  Impact of the HITECH Act on physicians' adoption of electronic health records.

Authors:  Stephen T Mennemeyer; Nir Menachemi; Saurabh Rahurkar; Eric W Ford
Journal:  J Am Med Inform Assoc       Date:  2015-07-30       Impact factor: 4.497

2.  Adoption of Electronic Dental Records: Examining the Influence of Practice Characteristics on Adoption in One State.

Authors:  Zain Chauhan; Mohammad Samarah; Kim M Unertl; Martha W Jones
Journal:  Appl Clin Inform       Date:  2018-08-15       Impact factor: 2.342

3.  Assessing HITECH Implementation and Lessons: 5 Years Later.

Authors:  Marsha Gold; Catherine McLAUGHLIN
Journal:  Milbank Q       Date:  2016-09       Impact factor: 4.911

4.  Electronic health record "super-users" and "under-users" in ambulatory care practices.

Authors:  Juliet Rumball-Smith; Paul Shekelle; Cheryl L Damberg
Journal:  Am J Manag Care       Date:  2018-01       Impact factor: 2.229

5.  Secure Provider-to-Provider Communication With Electronic Health Record Messaging: An Educational Outreach Study.

Authors:  Kathleen E Walsh; Jessica L Secor; Jon S Matsumura; Margaret L Schwarze; Beth E Potter; Peter Newcomer; Michael K Kim; Christie M Bartels
Journal:  J Healthc Qual       Date:  2018 Sep/Oct       Impact factor: 1.095

6.  The Effect of Access to Electronic Health Records on Throughput Efficiency and Imaging Utilization in the Emergency Department.

Authors:  Matthew M Knepper; Edward M Castillo; Theodore C Chan; David A Guss
Journal:  Health Serv Res       Date:  2017-04-04       Impact factor: 3.402

Review 7.  Harnessing Electronic Medical Records in Cardiovascular Clinical Practice and Research.

Authors:  Pishoy Gouda; Justin Ezekowitz
Journal:  J Cardiovasc Transl Res       Date:  2022-09-14       Impact factor: 3.216

8.  Progress in the Enhanced Use of Electronic Medical Records: Data From the Ontario Experience.

Authors:  Mavis Jones; Chad Koziel; Darren Larsen; Plumaletta Berry; Elena Kubatka-Willms
Journal:  JMIR Med Inform       Date:  2017-02-22

9.  Predicting Length of Stay for Obstetric Patients via Electronic Medical Records.

Authors:  Cheng Gao; Abel N Kho; Catherine Ivory; Sarah Osmundson; Bradley A Malin; You Chen
Journal:  Stud Health Technol Inform       Date:  2017

10.  Association of the Meaningful Use Electronic Health Record Incentive Program With Health Information Technology Venture Capital Funding.

Authors:  Samuel Lite; William Joseph Gordon; Ariel Dora Stern
Journal:  JAMA Netw Open       Date:  2020-03-02
  10 in total

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