Post Acute Analytics utilizes real-time EMR data and predictive analytics to automate prior authorization and care management processes in post-acute settings. This technology reduces administrative burdens and enhances patient outcomes by ensuring timely transitions and appropriate care placements, ultimately lowering costs and minimizing unnecessary hospital readmissions.
Funding
Funding not disclosed
DCWPFounders
Product
Problem
Health plans and providers face challenges in managing patients transitioning to post-acute care (PAC) settings, leading to administrative inefficiencies, increased costs, and potential for suboptimal patient outcomes. Manual processes for prior authorization, concurrent review, and care coordination contribute to delays, errors, and a lack of real-time visibility into patient journeys across the PAC continuum.
Solution
Post Acute Analytics (PAA) offers an AI-powered platform, Anna™, that automates prior authorization and care management processes for patients in post-acute care. By leveraging real-time EMR data connectivity with over 7,000 PACs and predictive analytics, PAA streamlines clinical reviews, optimizes care pathways, and speeds up care transitions. The platform provides a comprehensive 360-degree view of each patient's PAC journey, enabling proactive identification of high-risk patients, reduction in unnecessary post-acute utilization, and prevention of hospital readmissions. PAA's solution empowers healthcare providers to make informed decisions, personalize care, and improve patient outcomes while reducing administrative burdens and medical spending.
Target Audience
PAA primarily serves health plans, hospitals, and post-acute care providers seeking to improve efficiency, reduce costs, and enhance patient outcomes in the management of post-acute care transitions.
Features
- Automated data capture from structured and unstructured data sources, eliminating duplicative data entry
- Selective Binding Technology for real-time data connectivity with major acute and post-acute EMRs
- Predictive analytics to identify high-risk patients and predict optimal care plans based on millions of patient records
- Total Patient Tracker with "off-track" alerts for real-time care and utilization management
- Care Pathway Agent that auto-creates patient care plans over the post-acute continuum
- Partner Monitor to hold post-acute networks accountable for quality, cost, and in-network participation
- Real-time PAC scorecards for data-driven discussions and improved patient outcomes
- Management by exception UM to automate discharges to high-quality, cost-effective providers