Session ID: 
116

Exploring FHIR to Reduce Burden for Quality Measurement

8:30am - 9:30am Wednesday, March 11
Orlando - Orange County Convention Center
W303A

Description

Successful quality measurement requires clear and consistent data documentation to assure accuracy and reliability. Variation in clinical workflow and the extent to which clinical software captures and stores data, confounds the ability retrieve data with such clarity, potentially adding to documentation burden. This Essential Conversation addresses mitigation strategies for eCQM-related clinical burden. It further evaluates the use of Health Level Seven's Fast Health Interoperability Resources (FHIR) with Clinical Quality Language (CQL) to express data needed for eCQMs to enable implementers to retrieve existing data, significantly reducing the providers burden to re-enter existing data. This change can represent a flexion point in changing the focus of healthcare from process to outcome, if managed well. The session highlights existing efforts creating eCQMs and clinical decision support through CMS programs, private insurers and standards bodies (such as HL7) to assure clinical data examples are useful and re-usable.

Learning Objectives

  • Identify mechanisms for expressing clinical data based on its original source to avoid duplicate data entry for quality measurement
  • Describe reasons for data-driven clinical burden associated with eCQMS
  • Discuss tools and resources available to find information about and provide input on eCQM expressions
  • Describe how FHIR may help improve data retrieval and reporting for electronic quality measurement
  • List at least three factors to consider to successfully implement an eCQM

Speaker(s)

President,
iParsimony, LLC
Project Leader,
The MITRE Corporation

Continuing Education Credits

ABPM
1.00
CAHIMS
1.00
CME
1.00
CNE
1.00
CPHIMS
1.00

Audience

Chief Quality, Chief Clin Transformation Officer
Clinical Informaticists
Physician or Physician’s Assistant

Level

Intermediate