Skip to main content

Social risk analytics: The right data for the right interventions

All forward-thinking hospitals understand the role of social risk in providing effective, equitable and efficient care. In many ways, hospital objectives align with those of social risk assessment. Both help to distinguish acute from long-term needs, identify underlying contributors to poor outcomes, and, wherever possible, help minimize or completely prevent more serious interventions.

Six social risk factors and their drivers

Social risk is a measure of vulnerability as defined by specific social determinants of health. DataGen uses the following six SDOH categories.

Social Determinants of Health

Category

Defined by

Individual risk drivers

Community risk influencers

Digital

Access, affordability and literacy

Competency

Resources

Finance

Strength, resources and resiliency

Financial assets, liabilities and opportunities

Income, cost of living and opportunity

Food

Sufficient access and affordability

Healthy foods and food literacy

Same

Health literacy

Healthcare access, navigation, comprehension and adherence

Culture, demographics and education

Same

Housing

Standard of living

Stability, quality and crowding

Same + overall affordability

Transportation

Adequacy related to healthcare

Access, proximity and mobility

Access and proximity


Each category includes drivers that help calculate social risk (none to high) and prioritize need. Numerous data points and sources for each social determinant can help hospitals design interventions that transition individuals and communities from struggling to thriving.

The importance of an analytics-informed approach

Measuring social risk is new to most healthcare stakeholders. An analytics-informed approach — in addition to community partnerships — is needed to accurately identify, prioritize, measure and evaluate SDOH interventions. Such an approach also requires SDOH-specific data that are diverse, granular to the sub-ZIP code level and can be integrated with existing EHR and claims data. The result is empowered understanding for measurable return on investment, one of the most difficult SDOH objectives to achieve.

Three DataGen advantages make us the ideal social risk analytics partner:
  • First, we understand the unique needs of hospitals and health systems.
  • Second, we are able to license market-leading SDOH data and analytics from our partner, Socially Determined.
  • Third, our data and capabilities free up resources by integrating Socially Determined’s social metrics with your data for new and powerful insights.
These combined resources deliver a unique brand of social determinants telescoping — the ability to literally zoom in and out on healthcare needs, risks and the best responses for evidence-based ROI.

Three social risk advantages

Measuring social risk is vital to providing the right help to the right people at the right time. Social risk analytics are also the perfect companion to the Community Health Needs Assessment and can strengthen collaboration between hospitals and the growing list of partners needed to address CHNA findings. In addition, a new standard of care is emerging that links health equity to advanced payment models.

Providers must be prepared.

A recent DataGen poll showed that more than 20% of health systems are not yet involved in SDOH activities. Among those that are, measuring results and ROI is one of the biggest challenges, yet many providers have not yet moved beyond claims data or determined how to best analyze the limited information they have.

Now is the time for providers to choose empowerment through a wealth of new SDOH data and analytics. Individuals at risk and the communities they call home are counting on it.

Comments

Popular posts from this blog

Community Health Needs Assessment examples: Q&A on CHNA data reporting

Include integral data in your Community Health Needs Assessment examples  Community Health Needs Assessment (CHNA) examples tend to focus on case studies. However, using integral data for your CHNA can provide overall guidance, making it easier to start and complete your final report. In this Q&A, DataGen’s Melissa Bauer, principal healthcare informatics analyst, explains why using data in the CHNA is key and what types of data you should collect.   Q1: What is CHNA data?   A CHNA requires two types of data: primary and secondary. Using these two data streams, organizations can better characterize the community's health. This helps the organization conducting the CHNA best understand their community needs. It also informs them on the best ways to respond to them, providing guidance on where to start and how to evaluate impact and outcomes. Here’s a further explanation of the data found in a CHNA:  Primary data includes community surveys, focus groups, in-depth interviews, and c

Five key components of a strong patient safety culture

In today’s healthcare environment, ensuring patient safety is more than just a priority — it’s a fundamental component of quality care. Establishing a strong patient safety culture within hospitals and health organizations can dramatically reduce errors, increase patient satisfaction and improve overall healthcare outcomes. But what exactly is a patient safety culture, and how can institutions cultivate it effectively?  This blog post explores the five key components that make up a robust patient safety culture, along with insights from the Agency for Healthcare Research and Quality (AHRQ) and The Joint Commission.  What is patient safety culture?  AHRQ defines patient safety culture as how an organization's culture supports and promotes patient safety. This can extend to multiple levels, from individual units to departments to system levels. The AHRQ patient safety culture survey encompasses the shared values, beliefs and norms of healthcare practitioners and staff that influence