Best Risk Stratification & Predictive Analytics Tools Products

Social determinants of health—the conditions in which people live, learn, work, play, and worship—are inextricably linked to an individual’s physical health. Emerging evidence suggests addressing health-related social needs can improve health outcomes and reduce cost. Unmet social needs, such as food or housing insecurity, may increase the risk of developing chronic conditions, reducing an individual’s ability to manage these conditions, which may lead to avoidable health care utilization.

Outside of the traditional role of the health system, the knowledge to appropriately match patients to services in the community is often locked in paper documents, outdated binders, and individuals’ minds. With systems increasingly bearing risk and losing money on treating uninsured, Medicaid, and increasingly, high-deductible populations, streamlining this process and identifying these gaps is an important piece of any strategic plan. Health systems are beginning to invest in partnerships and technologies to identify the right community partnerships and make the connections.

With the shift to value-based care, risk stratification is an essential tool in developing a successful population health strategy. Effective implementation of risk stratification enables health systems to better understand their patient populations and design interventions that target high-risk, high-cost patients and deliver patient-centric care. By proactively managing patient populations, healthcare systems can lower costs while providing better care to their patients. Before providers deliver care, they must know who their patients are. Risk stratification helps providers better understand their patient populations so they can create targeted interventions based on patient-specific needs. By organizing patients into different categories based on their risk, health systems can achieve the Triple Aim: better health outcomes, quality care and lower costs of car... Using technology to predict risk is evolving. Data analytics platforms can aggregate patient data from multiple sources, allowing healthcare systems to tailor risk stratification models to specific populations. By combining actionable data with analysis, healthcare systems are better able to predict outcomes, align available resources to patient needs, and ultimately, lower the cost of health services.