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Clinical Quality Measure Exchange is Not Easy.

Robert L Phillips1, Lars Peterson2, Ted E Palen3

  • 1American Board of Family Medicine, Lexington, Kentucky bphillips@theabfm.org.

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|June 28, 2021
PubMed
Summary
This summary is machine-generated.

Quality reporting from health systems proved difficult, with many errors requiring manual repair. This highlights challenges in making clinical quality reporting an automatic byproduct of care despite technology adoption.

Keywords:
certificationfamily physicianshealth carehealth information technologyquality indicatorsquality measures

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Area of Science:

  • Health Services Research
  • Health Informatics
  • Quality Improvement

Background:

  • The Trial of Aggregate Data Exchange for Maintenance of Certification and Raising Quality (TADEx) aimed to assess if quality reporting could be a byproduct of clinical care.
  • This study focused on the initial descriptive phase, evaluating the capacity and quality of standardized quality measure exchange from health systems.

Purpose of the Study:

  • To test whether quality reporting could be an automatic byproduct of clinical care.
  • To assess the capacity and quality of standardized, physician-level quality measure exchange from multiple health systems.

Main Methods:

  • Recruited family physicians from 4 health systems with established quality measurement programs.
  • Collected standardized, physician-level quality measures from participating physicians.
  • Identified and evaluated errors in measure transfer and data delivery for root-cause analysis.

Main Results:

  • Participating health systems varied in patient demographics and payer mix.
  • 256 family physicians participated, with 5 out of 19 negotiated measures used across all systems.
  • Over 15 types of errors were identified, including data delivery breaks and nonsensical results; only one system had no errors.

Conclusions:

  • Secure transfer of standardized, physician-level quality measures from health systems with mature processes was challenging.
  • Numerous errors necessitated manual intervention, preventing full automation of quality reporting.
  • Despite health IT adoption, achieving reliable, automated clinical quality reporting remains a distant goal.