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A Rapid Process for Identifying and Prioritizing Technology-Based Tools for Health System Implementation.

Emily R Dibble1, Bradley E Iott1,2,3, Allen J Flynn1

  • 1Department of Learning Health Sciences, Medical School, University of Michigan, Ann Arbor, MI, United States.

JMIR Cancer
|November 29, 2018
PubMed
Summary
This summary is machine-generated.

A rapid evidence review process helps health systems quickly adopt new health information technology (IT). Clinicians prefer IT tools that do not require their direct involvement, despite potential patient outcome benefits.

Keywords:
clinical decision supportdecision support systems, clinicalevidence reviewevidence-based practiceexpert panelhealth information technologymedical informatics applicationsoncology care modelpatient reported outcome measurespractice guidelines as topic

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Area of Science:

  • Health Informatics
  • Health Services Research
  • Technology Adoption

Background:

  • Health system decisions on new technology require efficient, evidence-based processes.
  • Implementing new tools necessitates a trustworthy decision-making framework.

Purpose of the Study:

  • To present a rapid evidence review process for health system leaders and clinicians.
  • To guide the implementation of new technology tools for improved patient-clinician decision-making and outcomes.

Main Methods:

  • A 5-subprocess process: environmental scan, expert panel recruitment, evidence review, analysis, and local validation.
  • Environmental scan of health IT literature in oncology.
  • Modified Delphi process with a national expert panel and a local validation panel.

Main Results:

  • The rapid evidence review process efficiently identifies and prioritizes health IT tools.
  • Panelists expressed concerns regarding patient-reported outcome tracking tools (liability, workflow).
  • Clinicians favored technologies not requiring their direct involvement.

Conclusions:

  • Health system leaders can utilize this rapid evidence review process for informed technology adoption.
  • The process supports effective implementation and practical use of new technologies.