Literature DB >> 23698257

Effects of health information exchange adoption on ambulatory testing rates.

Stephen E Ross1, Tiffany A Radcliff, William G Leblanc, L Miriam Dickinson, Anne M Libby, Donald E Nease.   

Abstract

OBJECTIVE: To determine the effects of the adoption of ambulatory electronic health information exchange (HIE) on rates of laboratory and radiology testing and allowable charges.
DESIGN: Claims data from the dominant health plan in Mesa County, Colorado, from 1 April 2005 to 31 December 2010 were matched to HIE adoption data on the provider level. Using mixed effects regression models with the quarter as the unit of analysis, the effect of HIE adoption on testing rates and associated charges was assessed.
RESULTS: Claims submitted by 306 providers in 69 practices for 34 818 patients were analyzed. The rate of testing per provider was expressed as tests per 1000 patients per quarter. For primary care providers, the rate of laboratory testing increased over the time span (baseline 1041 tests/1000 patients/quarter, increasing by 13.9 each quarter) and shifted downward with HIE adoption (downward shift of 83, p<0.01). A similar effect was found for specialist providers (baseline 718 tests/1000 patients/quarter, increasing by 19.1 each quarter, with HIE adoption associated with a downward shift of 119, p<0.01). Even so, imputed charges for laboratory tests did not shift downward significantly in either provider group, possibly due to the skewed nature of these data. For radiology testing, HIE adoption was not associated with significant changes in rates or imputed charges in either provider group.
CONCLUSIONS: Ambulatory HIE adoption is unlikely to produce significant direct savings through reductions in rates of testing. The economic benefits of HIE may reside instead in other downstream outcomes of better informed, higher quality care.

Entities:  

Mesh:

Year:  2013        PMID: 23698257      PMCID: PMC3822119          DOI: 10.1136/amiajnl-2012-001608

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  18 in total

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3.  The value of health care information exchange and interoperability.

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6.  Care transitions as opportunities for clinicians to use data exchange services: how often do they occur?

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7.  Giving office-based physicians electronic access to patients' prior imaging and lab results did not deter ordering of tests.

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8.  Reduction of redundant laboratory orders by access to computerized patient records.

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9.  Health information exchange and healthcare utilization.

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10.  Computerized display of past test results. Effect on outpatient testing.

Authors:  W M Tierney; C J McDonald; D K Martin; M P Rogers
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  14 in total

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2.  The associations between query-based and directed health information exchange with potentially avoidable use of health care services.

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3.  Care everywhere, a point-to-point HIE tool: utilization and impact on patient care in the ED.

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4.  Association between use of a health information exchange system and hospital admissions.

Authors:  J R Vest; L M Kern; T R Campion; M D Silver; R Kaushal
Journal:  Appl Clin Inform       Date:  2014-03-12       Impact factor: 2.342

5.  Organizational Uses of Health Information Exchange to Change Cost and Utilization Outcomes: A Typology from a Multi-Site Qualitative Analysis.

Authors:  Joshua R Vest; Erika Abramson
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

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
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7.  An empirical analysis of the financial benefits of health information exchange in emergency departments.

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Review 9.  Image Sharing Technologies and Reduction of Imaging Utilization: A Systematic Review and Meta-analysis.

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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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