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Ongoing Monitoring
Assess how your practice is meeting goals by using metrics to drive reactions and readjustments.
Thank you!
As you follow each step in this transition to VBC, you will need to be able to measure progress and success within your practice. Without being able to measure this, it will be difficult to react to and address points of failure in your care model.
Quality Improvement tools such as Six Sigma, Plan-Do-Study-Act (PDSA), or Lean can be useful in helping you evaluate if your practice is meeting key milestones and health outcomes. By periodically checking in with different aspects of your practice, you can identify issues early on and create an actionable solution plan. This ensures that nothing is slipping through the cracks.
An important element in any of these quality improvement models is capturing key metrics. Decisions should be driven by data, not gut feelings, which means that measuring against milestones should be quantitative. Although CMS and payers have patient data, it is often not widely available because of competition. That is why you will need to set up your own data capturing devices and tracking mechanisms. These can be as simple as automatically recording appointment records, or as complex as measuring diagnosis codes against SDOH indicators.
That was the last leg of the race, and now you have a general overview of what it takes to transition to a VBC model. Stop by next week as we review everything we’ve covered in this series.
As you follow each step in this transition to VBC, you will need to be able to measure progress and success within your practice. Without being able to measure this, it will be difficult to react to and address points of failure in your care model.
Quality Improvement tools such as Six Sigma, Plan-Do-Study-Act (PDSA), or Lean can be useful in helping you evaluate if your practice is meeting key milestones and health outcomes. By periodically checking in with different aspects of your practice, you can identify issues early on and create an actionable solution plan. This ensures that nothing is slipping through the cracks.
An important element in any of these quality improvement models is capturing key metrics. Decisions should be driven by data, not gut feelings, which means that measuring against milestones should be quantitative. Although CMS and payers have patient data, it is often not widely available because of competition. That is why you will need to set up your own data capturing devices and tracking mechanisms. These can be as simple as automatically recording appointment records, or as complex as measuring diagnosis codes against SDOH indicators.
That was the last leg of the race, and now you have a general overview of what it takes to transition to a VBC model. Stop by next week as we review everything we’ve covered in this series.
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