The growing need for whole person health support
Increasingly, individual health needs to be approached holistically as opposed to episodically. Individuals, providers, payers, and other stakeholders now recognize a broad definition of health that goes beyond clinical diagnoses to encompass the emotional, social, and environmental factors that impact personal wellbeing. The U.S. Department of Health and Human Services found that the social determinants of health (SDOH) have a major impact on health and quality of life while the U.S. Surgeon General has specifically prioritized awareness of mental health and advocated mobilizing the health sector to better understand and address mental health challenges.
Capturing and using holistic health data is more important than ever, but many health organizations are pondering where to place responsibility for this task. One option is for care management organizations within payers to expand their remit, evolving their capabilities to include utilizing member data to create a broader picture of each member to better support whole person health. This would allow them to deliver a better member experience, and may also have a carryover effect on provider health organizations that could increase patient satisfaction and improve their HEDIS ratings.
Payers can tackle health data challenges
Payers occupy a unique position in the healthcare ecosystem given their access to member information. This includes longitudinal claims and diagnosis data, significant demographic data including addresses, and potentially extending to employment history. With new tools available to synthesize data, analyzing these inputs can support more personalized, proactive, comprehensive care management.
Opportunities presented by data-driven care management
Among the lessons from COVID-19 was the value of data in the development of outreach plans and patient education materials, particularly for vulnerable or hard to reach populations. Those insights led many payers to invest in advanced data analytics to better understand, segment, and serve their members. Sophisticated data-driven care management strategies are an innovative tool to attract new members, improve member engagement and health, and lower cost of care. However, according to a McKinsey study, care management data and the potential it holds are vastly underutilized.
Challenges to strategic data management
Despite these opportunities, payers face numerous hurdles in their efforts to collect, normalize, analyze, use, and maintain vast amounts of health data. One initial barrier is cost. Although cloud-based solutions have reduced the investment required for data storage, it can still represent a meaningful budget expenditure. Leaders in payer organizations will need to work with their finance, IT, and medical teams to develop an investment plan, including a way to measure returns on investment in strategic data management.
An additional barrier is analytic capacity. Payers could overcome this hurdle by redeploying advanced data capabilities within their organizations to seed new care management analytics. Or they could retain external talent: The U.S. Bureau of Labor Statistics estimates that data science employment is expected to grow by 35% over the next few years.
Finally, in developing personalized care management insights, payers must decide what data is most helpful, and how best to use it. Fortunately, payers already have access to vast amounts of data that can be reorganized to generate meaningful new insights into various populations. Understanding the existing data is critical to organizing it into the best, most useful format for analysis. From there the challenge is to identify gaps in the data and design a plan to address any shortfalls. In order to enhance current datasets of non-clinical data (such as barriers to care access and cultural preferences regarding provider interactions), payers could use external data firms to help generate a holistic understanding of member health.