Literature DB >> 24463141

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

Leila Agha1.   

Abstract

Information technology has been linked to productivity growth in a wide variety of sectors, and health information technology (HIT) is a leading example of an innovation with the potential to transform industry-wide productivity. This paper analyzes the impact of health information technology (HIT) on the quality and intensity of medical care. Using Medicare claims data from 1998 to 2005, I estimate the effects of early investment in HIT by exploiting variation in hospitals' adoption statuses over time, analyzing 2.5 million inpatient admissions across 3900 hospitals. HIT is associated with a 1.3% increase in billed charges (p-value: 5.6%), and there is no evidence of cost savings even five years after adoption. Additionally, HIT adoption appears to have little impact on the quality of care, measured by patient mortality, adverse drug events, and readmission rates.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  033; Health information technology; Hospital productivity; I10

Mesh:

Year:  2014        PMID: 24463141      PMCID: PMC4415264          DOI: 10.1016/j.jhealeco.2013.12.005

Source DB:  PubMed          Journal:  J Health Econ        ISSN: 0167-6296            Impact factor:   3.804


  18 in total

1.  Medicare spending, the physician workforce, and beneficiaries' quality of care.

Authors:  Katherine Baicker; Amitabh Chandra
Journal:  Health Aff (Millwood)       Date:  2004 Jan-Jun       Impact factor: 6.301

2.  Can health care information technology save babies?

Authors:  Amalia R Miller; Catherine E Tucker
Journal:  J Polit Econ       Date:  2011

3.  Electronic medical records and cost efficiency in hospital medical-surgical units.

Authors:  Michael F Furukawa; T S Raghu; Benjamin B M Shao
Journal:  Inquiry       Date:  2010       Impact factor: 1.730

4.  The effect of health information technology on quality in U.S. hospitals.

Authors:  Jeffrey S McCullough; Michelle Casey; Ira Moscovice; Shailendra Prasad
Journal:  Health Aff (Millwood)       Date:  2010-04       Impact factor: 6.301

5.  Can electronic medical record systems transform health care? Potential health benefits, savings, and costs.

Authors:  Richard Hillestad; James Bigelow; Anthony Bower; Federico Girosi; Robin Meili; Richard Scoville; Roger Taylor
Journal:  Health Aff (Millwood)       Date:  2005 Sep-Oct       Impact factor: 6.301

6.  Use of electronic health records in U.S. hospitals.

Authors:  Ashish K Jha; Catherine M DesRoches; Eric G Campbell; Karen Donelan; Sowmya R Rao; Timothy G Ferris; Alexandra Shields; Sara Rosenbaum; David Blumenthal
Journal:  N Engl J Med       Date:  2009-03-25       Impact factor: 91.245

7.  Improving safety and eliminating redundant tests: cutting costs in U.S. hospitals.

Authors:  Ashish K Jha; David C Chan; Abigail B Ridgway; Calvin Franz; David W Bates
Journal:  Health Aff (Millwood)       Date:  2009 Sep-Oct       Impact factor: 6.301

8.  Evidence of an emerging digital divide among hospitals that care for the poor.

Authors:  Ashish K Jha; Catherine M DesRoches; Alexandra E Shields; Paola D Miralles; Jie Zheng; Sara Rosenbaum; Eric G Campbell
Journal:  Health Aff (Millwood)       Date:  2009-10-26       Impact factor: 6.301

Review 9.  The benefits of health information technology: a review of the recent literature shows predominantly positive results.

Authors:  Melinda Beeuwkes Buntin; Matthew F Burke; Michael C Hoaglin; David Blumenthal
Journal:  Health Aff (Millwood)       Date:  2011-03       Impact factor: 6.301

10.  Improving residents' compliance with standards of ambulatory care: results from the VA Cooperative Study on Computerized Reminders.

Authors:  J G Demakis; C Beauchamp; W L Cull; R Denwood; S A Eisen; R Lofgren; K Nichol; J Woolliscroft; W G Henderson
Journal:  JAMA       Date:  2000-09-20       Impact factor: 56.272

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  24 in total

1.  Health Information Technology Adoption in the Emergency Department.

Authors:  Frederic W Selck; Sandra L Decker
Journal:  Health Serv Res       Date:  2015-04-08       Impact factor: 3.402

2.  Investigating the effects of ICT on innovation and performance of European hospitals: an exploratory study.

Authors:  Spyros Arvanitis; Euripidis N Loukis
Journal:  Eur J Health Econ       Date:  2015-03-31

3.  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

4.  Meaningful Use of Electronic Health Records and Medicare Expenditures: Evidence from a Panel Data Analysis of U.S. Health Care Markets, 2010-2013.

Authors:  Eric J Lammers; Catherine G McLaughlin
Journal:  Health Serv Res       Date:  2016-08-22       Impact factor: 3.402

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

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

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

7.  Fast-Tracking Health Data Standards Development and Adoption in Real-World Settings: A Pilot Approach.

Authors:  Allison F Dennis; P Jon White; Teresa Zayas-Cabán
Journal:  Appl Clin Inform       Date:  2021-08-11       Impact factor: 2.762

8.  Association between Health Information Technology and Case Mix Index.

Authors:  Young-Taek Park; Junsang Lee; Jinhyung Lee
Journal:  Healthc Inform Res       Date:  2017-10-31

9.  Hospitalization event notifications and reductions in readmissions of Medicare fee-for-service beneficiaries in the Bronx, New York.

Authors:  Mark Aaron Unruh; Hye-Young Jung; Rainu Kaushal; Joshua R Vest
Journal:  J Am Med Inform Assoc       Date:  2017-04-01       Impact factor: 4.497

10.  Improved efficiency of coding systems with health information technology.

Authors:  Jinhyung Lee; Jae-Young Choi
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

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