transform post-acute EHR data into ACTIONABLE insights
Real Time’s Interventional Analytics solution delivers clear visibility into SNF care for providers and health plans across the care continuum — enabling earlier interventions, improving outcomes, and driving success in value-based care.
Trusted by post-acute providers, hospitals, ACOs, and health plans to improve care, lower costs, and optimize SNF network performance.
What is Interventional Analytics?
Interventional Analytics [ in-ter-ven-shuhn-el ] [ana-lidiks]
adjective
- Pertaining to the act of intervening using data analytics
- Interfering or interceding with the intent of modifying the outcome based on live data
Interventional Analytics is a post-acute care analytics approach that enables healthcare organizations to identify changes in patient condition as they occur and intervene earlier. Unlike traditional predictive models that rely on historical data, Interventional Analytics continuously analyzes live EHR data to surface actionable insights, prioritize high-risk patients, and drive timely clinical intervention across skilled nursing facility networks — in real-time.
Predictive vs. Interventional Analytics
Interventional Analytics goes beyond predictive analytics. Utilizing proprietary artificial intelligence (AI) algorithms, Real Time sifts through vast amounts of structured and unstructured data within the post-acute EHR. Establishing a 72-hour baseline upon patient admission, the solution detects subtle changes in patients’ conditions and applies a personalized risk score — alerting clinical leadership to intervene before an adverse event occurs. Interventional Analytics enables action at the moment a patient’s condition changes, reducing reliance on retrospective data (such as MDS or claims data) and improving outcomes compared to traditional predictive approaches.
HOW IT WORKS
Traditional EHRs capture large volumes of patient data but lack the ability to analyze and surface insights in real time. Real Time’s HITRUST r2 and SOC2 certified, cloud-based Interventional Analytics platform continuously synchronizes structured and unstructured data from post-acute EHRs, creating a comprehensive, live clinical view of each patient.
- Capture Live EHR Data
The platform continuously ingests and aggregates key clinical data elements from the post-acute EHR, including both structured and unstructured documentation. - Analyze in Real Time
Using proprietary artificial intelligence (AI) algorithms, the platform establishes a dynamic baseline and identifies subtle changes in patient condition, prioritizing high-risk individuals based on clinical need. - Deliver Actionable Alerts
Real-time clinical alerts surface prioritized risks and recommended interventions aligned to the latest PALTCmed and INTERACT standards, enabling earlier, coordinated action across care teams.
Together, these capabilities enable healthcare organizations to move from retrospective data review to real-time clinical intervention, improving patient outcomes across skilled nursing facility networks.
The Benefits
Analyzing live data as it is entered into the EHR and comparing it to our 72-hour baseline, Real Time’s post-acute analytics solution has proven to:
- Reduce Hospital Readmissions by 52% (avg.)
- Improve performance in value-based care and bundled payment models
- Achieve Accurate Reimbursements
- Automate Key Workflows
- Minimize Administrative Burdens
- Enhance Care Coordination Efforts
- Strengthen Quality Measures
- Manage Length of Stay
- Increase Patient Referrals
WHAT OUR CLIENTS SAY ABOUT US
“It’s really about good resident care. Interventional Analytics allows us to receive live alerts so we can get to the resident quicker and intervene before the resident requires hospitalization.”
— Susan Leggett, Director of Clinical Services of Continuum Healthcare