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  • More
    • Home
    • Free MIPS MVP Analysis
    • RCM
      • Calculate MACRA $
      • Revenue Cycle Management
      • Collaborate with us
    • CQM Registry
    • Virtual Groups
    • Contact
    • RCM MACRA
    • RCM Collaborative
    • CQM Optimization Methods
    • About
    • Dr MACRA
    • What makes great registry

  • Home
  • Free MIPS MVP Analysis
  • RCM
    • Calculate MACRA $
    • Revenue Cycle Management
    • Collaborate with us
  • CQM Registry
  • Virtual Groups
  • Contact
  • RCM MACRA
  • RCM Collaborative
  • CQM Optimization Methods
  • About
  • Dr MACRA
  • What makes great registry

How do you optimize Clinical quality measures?

Improving Clinical Quality Measures does not happen "automatically".   Regardless of your specialty, submission method or technology platforms, there are common techniques.  


Of course, some platforms do a better job than others.  Here are a few of the methods our tools and staff enable.

MEASURE-LEVEL OPTIMIZATION VIA data analytics

Analyze Physician Outliers

Analyze Physician Outliers

Analyze Physician Outliers

Goal: Find patterns in how the highest level performers document their cases?  What language or chart locations do lowest level performers not follow?


Tools: Provider-level reports showing physician outliers (both top and bottom)


Anticipated Mitigations: Communicate best practices from top performers; educate low performers.  

Analyze Encounter Outliers

Analyze Physician Outliers

Analyze Physician Outliers

Goal: Find patterns in encounters flagged as "not met" - inappropriately


Tools: Encounter-level reports filtered to isolate "not met" encounters.


Anticipated mitigations: Identify how inappropriate "not mets" are recorded, and clarify corrections to providers, IT staff and/or coders. 

Analyze Exclusions

Analyze Measure Relevance

Analyze Measure Relevance

Goal: Identify patterns in encounters that are being inappropiately included or excluded in overall case count.  


Tools: Encounter-level reports (typically showing CPT / ICD-10 coding), filtered to identify overall population for inclusion / exclusion.  


Anticipated Mitigations: Find and correct discrepancies in IT and/or coding practices that inappropriately include / exclude encounters in measure population.

Analyze Measure Relevance

Analyze Measure Relevance

Analyze Measure Relevance

Goal: Seek out most relevant measures currently available based on patient volume and practice patterns.  


Tools: CMS measure specifications and specialty sets; measure benchmark patterns; TIN and Provider level performance trends.


Anticipated Mitigations: Elimination of measures that perform poorly and consume physician attention; addition of any new measures; incorporation of QCDR-based specialty measures;  includion into Virtual Groups (where appropriate)

C3 Partners, LLC                414-640-2817                          28717 Blue Crane Court, Waterford, WI


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