Literature DB >> 21857023

The Triangle Model for evaluating the effect of health information technology on healthcare quality and safety.

Jessica S Ancker1, Lisa M Kern, Erika Abramson, Rainu Kaushal.   

Abstract

With the proliferation of relatively mature health information technology (IT) systems with large numbers of users, it becomes increasingly important to evaluate the effect of these systems on the quality and safety of healthcare. Previous research on the effectiveness of health IT has had mixed results, which may be in part attributable to the evaluation frameworks used. The authors propose a model for evaluation, the Triangle Model, developed for designing studies of quality and safety outcomes of health IT. This model identifies structure-level predictors, including characteristics of: (1) the technology itself; (2) the provider using the technology; (3) the organizational setting; and (4) the patient population. In addition, the model outlines process predictors, including (1) usage of the technology, (2) organizational support for and customization of the technology, and (3) organizational policies and procedures about quality and safety. The Triangle Model specifies the variables to be measured, but is flexible enough to accommodate both qualitative and quantitative approaches to capturing them. The authors illustrate this model, which integrates perspectives from both health services research and biomedical informatics, with examples from evaluations of electronic prescribing, but it is also applicable to a variety of types of health IT systems.

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Year:  2011        PMID: 21857023      PMCID: PMC3240765          DOI: 10.1136/amiajnl-2011-000385

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


  28 in total

Review 1.  A primer on aspects of cognition for medical informatics.

Authors:  V L Patel; J F Arocha; D R Kaufman
Journal:  J Am Med Inform Assoc       Date:  2001 Jul-Aug       Impact factor: 4.497

2.  Medicare and Medicaid programs; electronic health record incentive program. Final rule.

Authors: 
Journal:  Fed Regist       Date:  2010-07-28

3.  The "meaningful use" regulation for electronic health records.

Authors:  David Blumenthal; Marilyn Tavenner
Journal:  N Engl J Med       Date:  2010-07-13       Impact factor: 91.245

4.  Factors and forces affecting EHR system adoption: report of a 2004 ACMI discussion.

Authors:  Joan S Ash; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2004-10-18       Impact factor: 4.497

5.  Extending the understanding of computerized physician order entry: implications for professional collaboration, workflow and quality of care.

Authors:  Jos Aarts; Joan Ash; Marc Berg
Journal:  Int J Med Inform       Date:  2006-06-23       Impact factor: 4.046

6.  Transitioning between electronic health records: effects on ambulatory prescribing safety.

Authors:  Erika L Abramson; Sameer Malhotra; Karen Fischer; Alison Edwards; Elizabeth R Pfoh; S Nena Osorio; Adam Cheriff; Rainu Kaushal
Journal:  J Gen Intern Med       Date:  2011-04-16       Impact factor: 5.128

7.  Electronic prescribing improves medication safety in community-based office practices.

Authors:  Rainu Kaushal; Lisa M Kern; Yolanda Barrón; Jill Quaresimo; Erika L Abramson
Journal:  J Gen Intern Med       Date:  2010-02-26       Impact factor: 5.128

Review 8.  Work system design for patient safety: the SEIPS model.

Authors:  P Carayon; A Schoofs Hundt; B-T Karsh; A P Gurses; C J Alvarado; M Smith; P Flatley Brennan
Journal:  Qual Saf Health Care       Date:  2006-12

9.  Impact of a computer-based patient record system on data collection, knowledge organization, and reasoning.

Authors:  V L Patel; A W Kushniruk; S Yang; J F Yale
Journal:  J Am Med Inform Assoc       Date:  2000 Nov-Dec       Impact factor: 4.497

10.  Introduction of shared electronic records: multi-site case study using diffusion of innovation theory.

Authors:  Trisha Greenhalgh; Katja Stramer; Tanja Bratan; Emma Byrne; Yara Mohammad; Jill Russell
Journal:  BMJ       Date:  2008-10-23
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  24 in total

1.  Alert dwell time: introduction of a measure to evaluate interruptive clinical decision support alerts.

Authors:  Robert B McDaniel; Jonathan D Burlison; Donald K Baker; Murad Hasan; Jennifer Robertson; Christine Hartford; Scott C Howard; Andras Sablauer; James M Hoffman
Journal:  J Am Med Inform Assoc       Date:  2015-10-24       Impact factor: 4.497

2.  EHR Conversion on the PreOp Care: A Pre-Post Workflow Comparison.

Authors:  Lu Zheng; Benjamin J Duncan; David R Kaufman; Stephanie K Furniss; Adela Grando; Karl A Poterack; Richard A Helmers; Timothy A Miksch; Brad N Doebbeling
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

3.  Measurement error in performance studies of health information technology: lessons from the management literature.

Authors:  A S Litwin; A C Avgar; P J Pronovost
Journal:  Appl Clin Inform       Date:  2012-06-13       Impact factor: 2.342

Review 4.  Clinical decision support alert appropriateness: a review and proposal for improvement.

Authors:  Allison B McCoy; Eric J Thomas; Marie Krousel-Wood; Dean F Sittig
Journal:  Ochsner J       Date:  2014

5.  Determinants of Consumer eHealth Information Seeking Behavior.

Authors:  Ryan H Sandefer; Bonnie L Westra; Saif S Khairat; David S Pieczkiewicz; Stuart M Speedie
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

6.  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

7.  Diabetes and hypertension quality measurement in four safety-net sites: lessons learned after implementation of the same commercial electronic health record.

Authors:  R Benkert; P Dennehy; J White; A Hamilton; C Tanner; J M Pohl
Journal:  Appl Clin Inform       Date:  2014-08-20       Impact factor: 2.342

8.  Patient encounters and care transitions in one community supported by automated query-based health information exchange.

Authors:  Thomas R Campion; Joshua R Vest; Jessica S Ancker; Rainu Kaushal
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

9.  Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA.

Authors:  Blackford Middleton; Meryl Bloomrosen; Mark A Dente; Bill Hashmat; Ross Koppel; J Marc Overhage; Thomas H Payne; S Trent Rosenbloom; Charlotte Weaver; Jiajie Zhang
Journal:  J Am Med Inform Assoc       Date:  2013-01-25       Impact factor: 4.497

10.  How is the electronic health record being used? Use of EHR data to assess physician-level variability in technology use.

Authors:  Jessica S Ancker; Lisa M Kern; Alison Edwards; Sarah Nosal; Daniel M Stein; Diane Hauser; Rainu Kaushal
Journal:  J Am Med Inform Assoc       Date:  2014-06-09       Impact factor: 4.497

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