Literature DB >> 16162568

Promoting health information technology: is there a case for more-aggressive government action?

Roger Taylor1, Anthony Bower, Federico Girosi, James Bigelow, Kateryna Fonkych, Richard Hillestad.   

Abstract

Health information technology (HIT) could save $81-$162 billion or more annually while greatly reducing morbidity and mortality. However, gaining these benefits requires broad adoption, effective implementation, and associated changes in health care processes and structures. The policy options that could speed the adoption of HIT and the realization of these benefits include incentives to promote standard-based electronic medical record (EMR) system adoption; subsidies to develop information-exchange networks; and programs to measure, report, and reward performance. Investments in these and other identified policy options should pay for themselves while also laying the foundation for needed transformation of the U.S. health care system.

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Year:  2005        PMID: 16162568     DOI: 10.1377/hlthaff.24.5.1234

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  14 in total

1.  Benchmarking electronic medical records initiatives in the US: a conceptual model.

Authors:  Carlos Palacio; Jeffrey P Harrison; David Garets
Journal:  J Med Syst       Date:  2010-06       Impact factor: 4.460

2.  Waste in the U.S. Health care system: a conceptual framework.

Authors:  Tanya G K Bentley; Rachel M Effros; Kartika Palar; Emmett B Keeler
Journal:  Milbank Q       Date:  2008-12       Impact factor: 4.911

3.  Clinicians must reinvent the medical record to stimulate the adoption of electronic medical records.

Authors:  Blake Lesselroth
Journal:  Medscape J Med       Date:  2008-02-22

4.  Health information technology adoption in U.S. acute care hospitals.

Authors:  Ning Jackie Zhang; Binyam Seblega; Thomas Wan; Lynn Unruh; Abiy Agiro; Li Miao
Journal:  J Med Syst       Date:  2013-01-23       Impact factor: 4.460

5.  Identifying patients with hypertension: a case for auditing electronic health record data.

Authors:  Adam Baus; Michael Hendryx; Cecil Pollard
Journal:  Perspect Health Inf Manag       Date:  2012-04-01

6.  Racial/Ethnic Disparity in NICU Quality of Care Delivery.

Authors:  Jochen Profit; Jeffrey B Gould; Mihoko Bennett; Benjamin A Goldstein; David Draper; Ciaran S Phibbs; Henry C Lee
Journal:  Pediatrics       Date:  2017-09       Impact factor: 7.124

7.  A web-based patient activation intervention to improve hypertension care: study design and baseline characteristics in the web hypertension study.

Authors:  Jeffrey Thiboutot; Heather Stuckey; Aja Binette; Donna Kephart; William Curry; Bonita Falkner; Christopher Sciamanna
Journal:  Contemp Clin Trials       Date:  2010-09-17       Impact factor: 2.226

8.  Approaches and challenges to optimising primary care teams' electronic health record usage.

Authors:  Nancy Pandhi; Wan-Lin Yang; Zaher Karp; Alexander Young; John W Beasley; Sally Kraft; Pascale Carayon
Journal:  Inform Prim Care       Date:  2014

9.  Using computer decision support systems in NHS emergency and urgent care: ethnographic study using normalisation process theory.

Authors:  Catherine Pope; Susan Halford; Joanne Turnbull; Jane Prichard; Melania Calestani; Carl May
Journal:  BMC Health Serv Res       Date:  2013-03-23       Impact factor: 2.655

Review 10.  Computerized clinical decision support: will it transform healthcare?

Authors:  Basit Chaudhry
Journal:  J Gen Intern Med       Date:  2008-01       Impact factor: 5.128

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