Literature DB >> 31340398

Linking Quality Improvement and Health Information Technology through the QI-HIT Figure 8.

Trevor Jamieson1,2,3, Muhammad M Mamdani4, Edward Etchells5.   

Abstract

The implementation of health information technology (HIT) is complex. A method for mitigating complexity is incrementalism. Incrementalism forms the foundation of both incremental software development models, like agile, and the Plan-Do-Study-Act cycles (PDSAs) of quality improvement (QI), yet we often fail to be incremental at the union of the disciplines. We propose a new model for HIT implementation that explicitly links incremental software development cycles with PDSAs, the QI-HIT Figure 8 (QIHIT-F8). We then detail a subsequent local HIT implementation where we demonstrated its use. The QIHIT-F8 requires a reprioritization of project management activities around tests of change, strong QI principles to detect these changes, and the presence of both baseline and prospective data about the chosen indicators. These conditions are most likely to be present when applied to indicators of high strategic importance to an organization. Georg Thieme Verlag KG Stuttgart · New York.

Entities:  

Mesh:

Year:  2019        PMID: 31340398      PMCID: PMC6656570          DOI: 10.1055/s-0039-1693456

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  16 in total

Review 1.  Statistical process control as a tool for research and healthcare improvement.

Authors:  J C Benneyan; R C Lloyd; P E Plsek
Journal:  Qual Saf Health Care       Date:  2003-12

2.  A primer on PDSA: executing plan-do-study-act cycles in practice, not just in name.

Authors:  Jerome A Leis; Kaveh G Shojania
Journal:  BMJ Qual Saf       Date:  2016-12-16       Impact factor: 7.035

3.  Health information technology and victory.

Authors:  Robert L Wears
Journal:  Ann Emerg Med       Date:  2014-09-20       Impact factor: 5.721

4.  An electronic documentation system improves the quality of admission notes: a randomized trial.

Authors:  Trevor Jamieson; Jonathan Ailon; Vince Chien; Ophyr Mourad
Journal:  J Am Med Inform Assoc       Date:  2016-06-06       Impact factor: 4.497

5.  Ten key considerations for the successful optimization of large-scale health information technology.

Authors:  Kathrin M Cresswell; David W Bates; Aziz Sheikh
Journal:  J Am Med Inform Assoc       Date:  2016-04-23       Impact factor: 4.497

6.  Undertaking sociotechnical evaluations of health information technologies.

Authors:  Kathrin M Cresswell; Aziz Sheikh
Journal:  Inform Prim Care       Date:  2014

7.  Examining Tensions That Affect the Evaluation of Technology in Health Care: Considerations for System Decision Makers From the Perspective of Industry and Evaluators.

Authors:  Laura Desveaux; James Shaw; Ross Wallace; Onil Bhattacharyya; R Sacha Bhatia; Trevor Jamieson
Journal:  JMIR Med Inform       Date:  2017-12-08

8.  Association of communication between hospital-based physicians and primary care providers with patient outcomes.

Authors:  Chaim M Bell; Jeffrey L Schnipper; Andrew D Auerbach; Peter J Kaboli; Tosha B Wetterneck; David V Gonzales; Vineet M Arora; James X Zhang; David O Meltzer
Journal:  J Gen Intern Med       Date:  2008-12-20       Impact factor: 5.128

Review 9.  The problem with Plan-Do-Study-Act cycles.

Authors:  Julie E Reed; Alan J Card
Journal:  BMJ Qual Saf       Date:  2015-12-23       Impact factor: 7.035

10.  Redesigning care: adapting new improvement methods to achieve person-centred care.

Authors:  Onil Bhattacharyya; David Blumenthal; Roger Stoddard; Lynne Mansell; Kathryn Mossman; Eric C Schneider
Journal:  BMJ Qual Saf       Date:  2018-09-21       Impact factor: 7.035

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