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FOTO Rehab Outcomes Blog

Top 3 Reasons for Risk-Adjusted Outcomes

What is your comfort level when it comes to rehabilitation outcomes? Hopefully, you embrace performance and patient reported outcome measures as much as possible. These measures are necessary for capturing the changes that occur throughout the episode of care. They are definitely helpful in making clinical decisions for the patient in front of you. What if you took the concept of rehabilitation outcomes one step further? Have you thought about the concept of risk-adjusted outcomes?


The image is messed up, isn't it? Risk-adjusting your outcomes makes appropriate adjustments in the data to take into consideration your apples and your oranges. Your outcomes for younger folks are obviously different than your outcomes for older folks. Your outcomes for people who just had a recent injury are quite different from those for people who have had a problem forever. A system well-grounded in research will include the known factors that affect rehabilitation outcomes. Risk-adjusting your outcomes allows for equal comparison.

A powerful system includes predictive analysis. Predictive analytics are solely based on the risk-adjusted outcomes. An exclusive system comprised of consistent measures, sophisticated mathematical formulas and loads of data definitely allows for predictive analysis. Predictive analysis fairly defines the care parameters associated with quality. The easily measurable care parameters include satisfaction, amount of change and number of visits. Integration of electronic medical records will begin to allow cost included into the definition. Guess how this is helfpul? Clinicians either deliver within the predicted parameters or they do not. You can automatically know the strengths and weaknesses of your clinicians and clinics.

The next reason will seem wild and crazy: Negotiating for payment. I'd never advise anyone to negotiate for payment based on their outcomes unless the outcomes were adequately risk-adjusted. Mixing predictive analytics into the picture creates the capability of defining the level of quality that will be provided. When negotiating for payment based on risk-adjusted outcomes and predictive analytics, you can lead the discussion by defining the quality of care you will provide.

The world of rehabilitation outcomes is growing fast. Capturing outcomes has moved beyond using the information only for the patient in front of you. I predict you will see more and more mention of risk-adjusted data. Do you have any thoughts or concerns about risk-adjusting data?

Until next time,