Literature DB >> 21949951

Can health care information technology save babies?

Amalia R Miller1, Catherine E Tucker.   

Abstract

Electronic medical records (EMRs) facilitate fast and accurate access to patient records, which could improve diagnosis and patient monitoring. Using a 12-year county-level panel, we find that a 10 percent increase in births that occur in hospitals with EMRs reduces neonatal mortality by 16 deaths per 100,000 live births. This is driven by a reduction of deaths from conditions requiring careful monitoring. We also find a strong decrease in mortality when we instrument for EMR adoption using variation in state medical privacy laws. Rough cost-effectiveness calculations suggest that EMRs are associated with a cost of $531,000 per baby’s life saved.

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Year:  2011        PMID: 21949951     DOI: 10.1086/660083

Source DB:  PubMed          Journal:  J Polit Econ        ISSN: 0022-3808


  12 in total

1.  The impact of health information technology adoption by outpatient facilities on pregnancy outcomes.

Authors:  Mary E Deily; Tianyan Hu; Sabrina Terrizzi; Shin-Yi Chou; Chad D Meyerhoefer
Journal:  Health Serv Res       Date:  2012-06-28       Impact factor: 3.402

2.  Physician EHR Adoption and Potentially Preventable Hospital Admissions among Medicare Beneficiaries: Panel Data Evidence, 2010-2013.

Authors:  Eric J Lammers; Catherine G McLaughlin; Michael Barna
Journal:  Health Serv Res       Date:  2016-10-21       Impact factor: 3.402

3.  Meaningful use of electronic health record systems and process quality of care: evidence from a panel data analysis of U.S. acute-care hospitals.

Authors:  Ajit Appari; M Eric Johnson; Denise L Anthony
Journal:  Health Serv Res       Date:  2012-07-20       Impact factor: 3.402

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

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

5.  The differing privacy concerns regarding exchanging electronic medical records of internet users in Taiwan.

Authors:  Hsin-Ginn Hwang; Hwai-En Han; Kuang-Ming Kuo; Chung-Feng Liu
Journal:  J Med Syst       Date:  2012-04-20       Impact factor: 4.460

6.  The combined effect of the electronic health record and hospitalist care on length of stay.

Authors:  Jinhyung Lee; Yong-Fang Kuo; Yu-Li Lin; James S Goodwin
Journal:  Am J Manag Care       Date:  2015-03-01       Impact factor: 2.229

7.  The impact of health information technology on disparity of process of care.

Authors:  Jinhyung Lee
Journal:  Int J Equity Health       Date:  2015-04-01

8.  The effect of electronic medical record adoption on outcomes in US hospitals.

Authors:  Jinhyung Lee; Yong-Fang Kuo; James S Goodwin
Journal:  BMC Health Serv Res       Date:  2013-02-01       Impact factor: 2.655

9.  The effects of health information technology on the costs and quality of medical care.

Authors:  Leila Agha
Journal:  J Health Econ       Date:  2014-01-07       Impact factor: 3.804

10.  Association of EMR Adoption with Minority Health Care Outcome Disparities in US Hospitals.

Authors:  Jae-Young Choi; Yong-Fang Kuo; James S Goodwin; Jinhyung Lee
Journal:  Healthc Inform Res       Date:  2016-04-30
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