Literature DB >> 17627328

Costs and benefits of health information technology.

Paul G Shekelle, Sally C Morton, Emmett B Keeler.   

Abstract

OBJECTIVES: An evidence report was prepared to assess the evidence base regarding benefits and costs of health information technology (HIT) systems, that is, the value of discrete HIT functions and systems in various healthcare settings, particularly those providing pediatric care. DATA SOURCES: PubMed, the Cochrane Controlled Clinical Trials Register, and the Cochrane Database of Reviews of Effectiveness (DARE) were electronically searched for articles published since 1995. Several reports prepared by private industry were also reviewed. REVIEW
METHODS: Of 855 studies screened, 256 were included in the final analyses. These included systematic reviews, meta-analyses, studies that tested a hypothesis, and predictive analyses. Each article was reviewed independently by two reviewers; disagreement was resolved by consensus.
RESULTS: Of the 256 studies, 156 concerned decision support, 84 assessed the electronic medical record, and 30 were about computerized physician order entry (categories are not mutually exclusive). One hundred twenty four of the studies assessed the effect of the HIT system in the outpatient or ambulatory setting; 82 assessed its use in the hospital or inpatient setting. Ninety-seven studies used a randomized design. There were 11 other controlled clinical trials, 33 studies using a pre-post design, and 20 studies using a time series. Another 17 were case studies with a concurrent control. Of the 211 hypothesis-testing studies, 82 contained at least some cost data. We identified no study or collection of studies, outside of those from a handful of HIT leaders, that would allow a reader to make a determination about the generalizable knowledge of the study's reported benefit. Beside these studies from HIT leaders, no other research assessed HIT systems that had comprehensive functionality and included data on costs, relevant information on organizational context and process change, and data on implementation. A small body of literature supports a role for HIT in improving the quality of pediatric care. Insufficient data were available on the costs or cost-effectiveness of implementing such systems. The ability of Electronic Health Records (EHRs) to improve the quality of care in ambulatory care settings was demonstrated in a small series of studies conducted at four sites (three U.S. medical centers and one in the Netherlands). The studies demonstrated improvements in provider performance when clinical information management and decision support tools were made available within an EHR system, particularly when the EHRs had the capacity to store data with high fidelity, to make those data readily accessible, and to help translate them into context-specific information that can empower providers in their work. Despite the heterogeneity in the analytic methods used, all cost-benefit analyses predicted substantial savings from EHR (and health care information exchange and interoperability) implementation: The quantifiable benefits are projected to outweigh the investment costs. However, the predicted time needed to break even varied from three to as many as 13 years.
CONCLUSIONS: HIT has the potential to enable a dramatic transformation in the delivery of health care, making it safer, more effective, and more efficient. Some organizations have already realized major gains through the implementation of multifunctional, interoperable HIT systems built around an EHR. However, widespread implementation of HIT has been limited by a lack of generalizable knowledge about what types of HIT and implementation methods will improve care and manage costs for specific health organizations. The reporting of HIT development and implementation requires fuller descriptions of both the intervention and the organizational/economic environment in which it is implemented.

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Mesh:

Year:  2006        PMID: 17627328      PMCID: PMC4781594          DOI: 10.23970/ahrqepcerta132

Source DB:  PubMed          Journal:  Evid Rep Technol Assess (Full Rep)        ISSN: 1530-4396


  93 in total

1.  Study of the cost-benefit analysis of electronic medical record systems in general hospital in China.

Authors:  Kai Li; Shinji Naganawa; Kai Wang; Ping Li; Ken Kato; Xiu Li; Jie Zhang; Kazunobu Yamauchi
Journal:  J Med Syst       Date:  2012-01-03       Impact factor: 4.460

2.  Racial differences in the usage of information technology: evidence from a national physician survey.

Authors:  Doohee Lee; Phil Rutsohn
Journal:  Perspect Health Inf Manag       Date:  2012-04-01

3.  Assessing differences between physicians' realized and anticipated gains from electronic health record adoption.

Authors:  Lori T Peterson; Eric W Ford; John Eberhardt; Timothy R Huerta; Nir Menachemi
Journal:  J Med Syst       Date:  2009-08-08       Impact factor: 4.460

Review 4.  The interface of primary and oncology specialty care: from symptoms to diagnosis.

Authors:  Larissa Nekhlyudov; Steven Latosinsky
Journal:  J Natl Cancer Inst Monogr       Date:  2010

5.  Using STD electronic medical record data to drive public health program decisions in New York City.

Authors:  Rachel Paneth-Pollak; Julia A Schillinger; Jessica M Borrelli; Shoshanna Handel; Preeti Pathela; And Susan Blank
Journal:  Am J Public Health       Date:  2010-02-18       Impact factor: 9.308

Review 6.  A review on systematic reviews of health information system studies.

Authors:  Francis Lau; Craig Kuziemsky; Morgan Price; Jesse Gardner
Journal:  J Am Med Inform Assoc       Date:  2010 Nov-Dec       Impact factor: 4.497

7.  Do electronic medical records improve quality of care? No.

Authors:  Michelle Greiver
Journal:  Can Fam Physician       Date:  2015-10       Impact factor: 3.275

8.  A nationwide survey of trauma center information technology leverage capacity for mental health comorbidity screening.

Authors:  Erik G Van Eaton; Douglas F Zatzick; Thomas H Gallagher; Peter Tarczy-Hornoch; Frederick P Rivara; David R Flum; Roselyn Peterson; Ronald V Maier
Journal:  J Am Coll Surg       Date:  2014-04-21       Impact factor: 6.113

9.  What stands in the way of technology-mediated patient safety improvements?: a study of facilitators and barriers to physicians' use of electronic health records.

Authors:  Richard J Holden
Journal:  J Patient Saf       Date:  2011-12       Impact factor: 2.844

10.  Learning from incident reports in the Australian medical imaging setting: handover and communication errors.

Authors:  N Hannaford; C Mandel; C Crock; K Buckley; F Magrabi; M Ong; S Allen; T Schultz
Journal:  Br J Radiol       Date:  2013-02       Impact factor: 3.039

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