As Seen In Health Data Management: Consumer Data Can Provide Insights for Well-being Efforts
By April Gill
I recently sat down with Joseph Goedert from Health Data Management to discuss the critical role consumer data plays in engaging health plan members in their well-being.
While healthcare data is important, it doesn't give you a complete picture of your members or predict their behaviors. For example, did you know consistent voters are more likely to be healthier and engage in well-being programs, or that social media participation can be correlated to potential outcomes for specific types of interventions like a self-paced, online program versus a higher touch telephonic coaching option? Consumer data doesn't stop there. When combined with healthcare data, it can tell you so much more about your populations. Keep reading to get a glimpse into a real-life case study and more insight from my interview with Health Data Management.
Consumer data used to be the missing piece, but not anymore.
A few years ago, I worked with a client who sought to improve utilization of its care management resources and mitigate hospital readmission for their Medicare Advantage population. They wanted to identify individuals most likely to be readmitted and provide them with care management resources.
By combining Welltok's proprietary consumer database to supplement the client's data, we were able to create a longitudinal view of each member and generate a predictive model that identified each member's risk of readmission, receptivity to care management resources and the likelihood to be impacted by the program.
To get more information about what more advanced analytics can do, read the Health Data Management article below.
The collection and analysis of consumer data can provide insights to employers, including healthcare organizations, into their employees’ health status while offering the basis for information for the creation of well-being plans.
An individual’s buying habits, voting affiliation and voting history, television viewing, financial status, family status and social sentiments—which are the emotions behind social media mentions—together can give a view of the individual’s overall well-being, says April Gill, vice president of analytics solutions at Welltok, a vendor that offers health optimization services.
Social media mentions, for instance, can be analyzed to generate a sentiment score on the general happiness of an individual. A regular voter can indicate a person who may be active in community affairs and may be agreeable to accepting a walking program to improve health.
Consumer data, matched with health data like lab results, claims and biometric data, can be used to start making correlations that detail the healthcare needs of a person. The goal, Gill says, is to have a better understanding of an individual’s receptivity to joining a health program that can offer the highest probability of success.
If an individual subscribes to Netflix or other television services, data collection companies can see what television shows a person is watching and if they are a couch potato and need to exercise more. A person watching a lot of sports might be a candidate for suggesting a step program or playing a sport. A diabetic who often is online may be a good candidate for an online diabetes management program and to stay engaged in the program. “We need to offer resources in a manner that patients are ready for,” Gill asserts. These resources could come from an employer, health plan or provider organization.
Original article appeared in Health Data Management on June 7, 2017.