Literature DB >> 22928759

Which components of health information technology will drive financial value?

Lisa M Kern1, Adam Wilcox, Jason Shapiro, Rina V Dhopeshwarkar, Rainu Kaushal.   

Abstract

OBJECTIVES: The financial effects of electronic health records (EHRs) and health information exchange (HIE) are largely unknown, despite unprecedented federal incentives for their use. We sought to understand which components of EHRs and HIE are most likely to drive financial savings in the ambulatory, inpatient, and emergency department settings. STUDY
DESIGN: Framework development and a national expert panel.
METHODS: We searched the literature to identify functionalities enabled by EHRs and HIE across the 3 healthcare settings. We rated each of 233 functionality-setting combinations on their likelihood of having a positive financial effect. We validated the top-scoring functionalities with a panel of 28 national experts, and we compared the high-scoring functionalities with Stage 1 meaningful use criteria.
RESULTS: We identified 54 high-scoring functionality- setting combinations, 27 for EHRs and 27 for HIE. Examples of high-scoring functionalities included providing alerts for expensive medications, providing alerts for redundant lab orders, sending and receiving imaging reports, and enabling structured medication reconciliation. Of the 54 high-scoring functionalities, 25 (46%) are represented in Stage 1 meaningful use. Many of the functionalities not yet represented in meaningful use correspond with functionalities that focus directly on healthcare utilization and costs rather than on healthcare quality per se.
CONCLUSIONS: This work can inform the development and selection of future meaningful use measures; inform implementation efforts, as clinicians and hospitals choose from among a "menu" of measures for meaningful use; and inform evaluation efforts, as investigators seek to measure the actual financial impact of EHRs and HIE.

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Mesh:

Year:  2012        PMID: 22928759

Source DB:  PubMed          Journal:  Am J Manag Care        ISSN: 1088-0224            Impact factor:   2.229


  6 in total

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

Authors:  Joshua R Vest; Mark Aaron Unruh; Jason S Shapiro; Lawrence P Casalino
Journal:  Health Serv Res       Date:  2019-05-21       Impact factor: 3.402

2.  Pre-authorization processes have no effect on patients undergoing knee MRI in a pediatric setting when evaluated by specialists.

Authors:  Drew Pierce; J Herman Kan; Megan May; George S Bisset
Journal:  Skeletal Radiol       Date:  2016-12-05       Impact factor: 2.199

3.  Prevalence and risk factors for medication reconciliation errors during hospital admission in elderly patients.

Authors:  Blanca Rodríguez Vargas; Eva Delgado Silveira; Irene Iglesias Peinado; Teresa Bermejo Vicedo
Journal:  Int J Clin Pharm       Date:  2016-08-24

4.  Using a health information exchange system for imaging information: patterns and predictors.

Authors:  Joshua R Vest; Zachary M Grinspan; Lisa M Kern; Thomas R Campion; Rainu Kaushal
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

5.  Delays in Obtaining Knee MRI in Pediatric Sports Medicine: Impact of Insurance Type.

Authors:  Jennifer J Beck; Nicole West; Kylie G Shaw; Nicholas Jackson; Richard E Bowen
Journal:  J Pediatr Orthop       Date:  2020 Nov/Dec       Impact factor: 2.537

Review 6.  A Patient-Centered Framework for Evaluating Digital Maturity of Health Services: A Systematic Review.

Authors:  Kelsey Flott; Ryan Callahan; Ara Darzi; Erik Mayer
Journal:  J Med Internet Res       Date:  2016-04-14       Impact factor: 5.428

  6 in total

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