Literature DB >> 23297272

What it will take to achieve the as-yet-unfulfilled promises of health information technology.

Arthur L Kellermann1, Spencer S Jones.   

Abstract

A team of RAND Corporation researchers projected in 2005 that rapid adoption of health information technology (IT) could save the United States more than $81 billion annually. Seven years later the empirical data on the technology's impact on health care efficiency and safety are mixed, and annual health care expenditures in the United States have grown by $800 billion. In our view, the disappointing performance of health IT to date can be largely attributed to several factors: sluggish adoption of health IT systems, coupled with the choice of systems that are neither interoperable nor easy to use; and the failure of health care providers and institutions to reengineer care processes to reap the full benefits of health IT. We believe that the original promise of health IT can be met if the systems are redesigned to address these flaws by creating more-standardized systems that are easier to use, are truly interoperable, and afford patients more access to and control over their health data. Providers must do their part by reengineering care processes to take full advantage of efficiencies offered by health IT, in the context of redesigned payment models that favor value over volume.

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Year:  2013        PMID: 23297272     DOI: 10.1377/hlthaff.2012.0693

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


  90 in total

1.  Sharing a Playbook: Integrated Care in Community Health Centers in the United States.

Authors:  Emily B Jones; Leighton Ku
Journal:  Am J Public Health       Date:  2015-08-13       Impact factor: 9.308

2.  A Custom-Developed Emergency Department Provider Electronic Documentation System Reduces Operational Efficiency.

Authors:  Joshua Feblowitz; Sukhjit S Takhar; Michael J Ward; Ryan Ribeira; Adam B Landman
Journal:  Ann Emerg Med       Date:  2017-07-14       Impact factor: 5.721

3.  "Big data" in the intensive care unit. Closing the data loop.

Authors:  Leo Anthony Celi; Roger G Mark; David J Stone; Robert A Montgomery
Journal:  Am J Respir Crit Care Med       Date:  2013-06-01       Impact factor: 21.405

4.  An information systems model of the determinants of electronic health record use.

Authors:  P Messeri; S Khan; M Millery; A Campbell; J Merrill; S Shih; R Kukafka
Journal:  Appl Clin Inform       Date:  2013-04-17       Impact factor: 2.342

5.  Data-driven transformation to an oncology patient-centered medical home.

Authors:  John D Sprandio; Brian P Flounders; Maureen Lowry; Susan Tofani
Journal:  J Oncol Pract       Date:  2013-05       Impact factor: 3.840

Review 6.  Impact of electronic health record systems on information integrity: quality and safety implications.

Authors:  Sue Bowman
Journal:  Perspect Health Inf Manag       Date:  2013-10-01

7.  CDS in a Learning Health Care System: Identifying Physicians' Reasons for Rejection of Best-Practice Recommendations in Pneumonia through Computerized Clinical Decision Support.

Authors:  Barbara E Jones; Dave S Collingridge; Caroline G Vines; Herman Post; John Holmen; Todd L Allen; Peter Haug; Charlene R Weir; Nathan C Dean
Journal:  Appl Clin Inform       Date:  2019-01-02       Impact factor: 2.342

8.  A Family Medicine Health Technology Strategy for Achieving the Triple Aim for US Health Care.

Authors:  Robert L Phillips; Andrew W Bazemore; Jennifer E DeVoe; Thomas J Weida; Alex H Krist; Michael F Dulin; Frances E Biagioli
Journal:  Fam Med       Date:  2015-09       Impact factor: 1.756

9.  Transient and sustained changes in operational performance, patient evaluation, and medication administration during electronic health record implementation in the emergency department.

Authors:  Michael J Ward; Craig M Froehle; Kimberly W Hart; Sean P Collins; Christopher J Lindsell
Journal:  Ann Emerg Med       Date:  2013-09-14       Impact factor: 5.721

10.  Use of Health Information Exchange and Repeat Imaging Costs.

Authors:  Hye-Young Jung; Joshua R Vest; Mark A Unruh; Lisa M Kern; Rainu Kaushal
Journal:  J Am Coll Radiol       Date:  2015-12       Impact factor: 5.532

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