Introduction to social risk: What healthcare leaders need to understand

‘Social determinants of health’ has been a common phrase for decades now, but the term social risk is much less popularized. So, what does it mean and is it all that different from SDOH? Most importantly, what should healthcare leaders understand about social risk? Read on to find out.

What is social risk?

Social risk describes an individual’s susceptibility to adverse social conditions that are directly tied to health outcomes. These conditions include housing instability, food insecurity, lack of transportation access, limited digital connectedness and low health literacy rates.

How is social risk different from social determinants of health?

Social determinants of health are the systems within which we all exist. These systems include social norms and powers, political and developmental agendas, and economic conditions and patterns. Social determinants of health are broad forces impacting everyone, while social risk is an interaction of specific individual factors.

How does understanding social risk benefit health systems and health plans?

Understanding social risk benefits health systems and health plans by offering critical insight into the severity and chronicity of social adversity that each individual is facing—and how that is shaping their health outcomes. Historically, payers and providers have not had visibility into this information.

Providers typically have patient records with very basic demographic data (e.g., name, date of birth, sex, race and/or ethnicity) and an inevitably incomplete medical history. If patients are insured, they also have member or beneficiary records where payers or government organizations store claims details and other coverage-related information. These patient and member/beneficiary records have typically acted as a Venn diagram with minimal overlap, as payers and providers have both been reluctant to share more information than they must.

When health plans and health systems are willing to embrace interoperability and incorporate social risk data, they can gain a 360-degree view of an individual’s wellbeing, strategically address unmet needs, and meaningfully impact health outcomes.

Why is social risk data extra salient for Medicare Advantage plans?

Social risk data can be even more powerful for Medicare Advantage plans, as they often have little to no insight into their beneficiaries’ claim history, morbidity risk, health behaviors, etc. Even in the absence of all that information, knowing an individual’s social risk can be enough to identify and stratify their needs, distribute situation-specific resources, and steer them to the right interventions for their unique profile. Demonstrating this level of investment in each individual’s health journey also helps Medicare Advantage plans build trust in the communities they serve and retain beneficiaries year over year.

Want to know more about social risk data, where to access it, and how to apply it? Watch the playback of Getting serious and specific about social risk, a webinar featuring Socially Determined’s James Beem (VP)and MedeAnalytics’ Brian Norris (VP and Managing Director, Strategic Consulting). 

Posted in ,

Editorial Team

MedeAnalytics is a leader in healthcare analytics, providing innovative solutions that enable measurable impact for healthcare payers and providers. With the most advanced data orchestration in healthcare, payers and providers count on us to deliver actionable insights that improve financial, operational, and clinical outcomes. To date, we’ve helped uncover millions of dollars in savings annually.

Get our take on industry trends

The Real Payback of Healthcare Analytics: Key Questions from Healthcare Leaders Around the Nation

The Real Payback of Healthcare Analytics: Key Questions from Healthcare Leaders Around the Nation

May 25, 2021

MedeAnalytics hosted a Fierce Healthcare webinar featuring key senior leaders from three preeminent healthcare organizations in the U.S: At the…

Read on...
The future of digital health part 4: Convergence of AI and analytics for healthcare payers

The future of digital health part 4: Convergence of AI and analytics for healthcare payers

May 12, 2021

This post is the fourth and final of our Digital Health series, featuring healthcare visionary and thought leader Andy Dé. In this series, Dé has been discussing how COVID-19 has triggered remarkable digital transformation and uncovers five long-term innovation implications that providers, healthcare leaders, and payers need to consider.

Read on...
Use SDOH + Analytics to power better outcomes for underserved population

Use SDOH + Analytics to power better outcomes for underserved population

May 11, 2021

Whether you’re a payer, provider or patient, on the front lines of care, sitting in front of a computer or receiving treatment, you’ve been affected by the pandemic. Of all the groups who participate in healthcare in one way or another, perhaps no single group has suffered more over the last year during the pandemic than the underserved— those people without ready access to needed healthcare services.

Read on...
Use data to take meaningful action this Nurses Week 

Go beyond recognition: Use data to take meaningful action this Nurses Week

May 10, 2021

Since 1994, America has observed National Nurses Week annually from May 6-12. This year more than ever before, it’s critical that healthcare organizations go beyond recognition and start taking action to more effectively support and serve nurses.

Read on...