April 12, 2023 | Net Health

3 Minute Read

Predictive Analytics Helps SNFs Prevent Falls and Hospitalizations

Unexpected falls and unplanned hospitalizations can turn ordinary days at skilled nursing facilities (SNFs) into emergency response scenarios that require substantive time and effort to manage — time and effort that is often in short supply.

It’s a familiar scenario for directors of nursing (DONs) and often made more challenging thanks to ongoing staff shortages and evolving care requirements for residents with complex needs or severe cognitive impairment. Equipped with best-in-class analytics tools, however, it’s possible for DONs to turn information into action and proactively prevent these issues.

Case Study: Tackling Key Operational Issues Facing SNF + LTC

Recognizing Patient Risk

Consider a DON who short for the upcoming shift by two nurses and four certified nursing assistants (CNAs). Her goal is to get through the day without any falls or unexpected hospitalizations, which means allocating resources effectively to minimize the risk.

The challenge? While SNF providers are now capable of gathering massive amounts of resident data from daily assessments and long-term care plans, collecting this data isn’t enough. Without effective analytics, our DON is left in the dark when it comes to resources to ensure their residents receive the care they need.

Putting Problems on Your RADAR

The RADAR care management tool makes it possible to identify potential problems before they disrupt SNF operations. 

Using high-quality predictive models trained with best-in-class machine learning (ML) algorithms, SNF interdisciplinary teams can quickly identify residents at risk and create the best-fit care plan for each patient. For example, patients that show a pattern of worsening cognitive difficulties could be placed in a small activity group for engagement and safety, while those with increasing pain and high risk for falls could be given a personalized pain management plan to maintain their mobility while reducing their fall risk.

Turning data into action requires relevant insights delivered through advanced predictive analytics. The result? DONs are better equipped to manage available resources by proactively identifying patient risks and ensuring effective care.

Predict, pinpoint, and prevent problems with RADAR. Discover how it works. 

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