One of the greatest opportunities that exists in moving from “turnstile medicine” (or fee-for-service) to value-based payment models is the shift from reactive to proactive health care. The focus on accountability for population health forces providers to adopt a completely different mindset: Instead of waiting for sick patients to come knocking on your door, you need to figure out what they need, when they need it, and how to get it for them.
At the upcoming conference, Health 2.0 WinterTech: The New Consumer Health Landscape (January 15, San Francisco), I will moderate a panel on “Consumer Data Powering Clinical Insight.” The panel features several different perspectives on how consumer-facing technologies can translate discrete consumer-generated data into useful information that providers and others can use to deliver more personalized and proactive support and care management.
The dramatic proliferation of electronic health records (EHRs) in the last five years means that much more clinical patient data exists in electronic form than ever before. True meaningful use of that data involves organizing it into meaningful and useful information by building algorithms, leveraging machine learning principles and delivering the right information to the right person at the right time. In addition, de-identified data in the cloud provides a scale for that kind of data analytics. Practice Fusion, a cloud-based EHR company uses patient-derived data—everything from booking an appointment to patient intake questionnaires—to drive proactive health management. CEO Ryan Howard will discuss how, in early 2015, they’ll begin incorporating qualitative and quantitative data from the patient and machine learning based on how physicians react to it to better target diagnosis, treatment and other support.
