Comparing speed vs. value when measuring health outcomes

#5in5_Blog_BannerHealth care organizations that are years into the transition to value-based care know a robust analytics solution that provides timely insights and actionable results can help them understand risk and manage patient populations.

But what if you are just starting out?

Analytics tools can help here too. They can help discover patterns in your data and help you communicate the results.

Some of these solutions can be rolled out in a hurry. In effect, you can put them to work right out of the box.

I think of this as speed to value.

The quicker you can implement a solution the quicker you can start leveraging these technologies.

Implementation periods of 30 to 90 days allow health care organizations to start beginning to understand their organization’s historical patterns.

If you are just starting to measure your outcomes, this might be a place to start.

However, you want to be aware that you can move too quickly.

Depending on how much work you’ve done to clean your data — that is, to create systems that combine and compare data from varied sources, like claims forms and lab reports — the more time you may need to dedicate to implementing an analytics solution.

Explore the basics of analytics and the danger of over-thinking your results in this Optum Provider #5in5 podcast: Implementation matters: Data vs. robust analytics. Take five minutes to learn more.

About the author

Carl JohnsonCarl Johnson, MD, EdM, MSc. is a pediatrician trained at Boston Children’s Hospital. He completed a Medical Education fellowship at Harvard Medical School and was a faculty health services researcher at The Mount Sinai School of Medicine.

Before joining Optum Analytics, he worked as a physician executive at Cerner Corporation. He is a graduate of the Mount Sinai School of Medicine in New York City and has held faculty positions at Harvard Medical School, University of California at San Francisco, The Ohio State University and The Mount Sinai School of Medicine.

Dr. Johnson believes that health care can be transformed with the help of the right data. When he is not helping to transform health care, he can be found playing tennis, cooking, perfecting his French, taking photographs, reading historical fiction, listening to music and watching Ohio State Football.

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