Predict Health utilizes artificial intelligence and advanced data analytics to enhance member engagement and retention for Medicare plans by capturing and analyzing member feedback. The platform addresses the challenge of understanding member motivations and barriers, leading to improved performance outcomes and a significant increase in member retention rates.
Funding
$5.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Medicare plans struggle to understand the diverse needs and motivations of their members, especially those who are hard-to-reach or disengaged, leading to suboptimal member retention and difficulties in meeting regulatory compliance requirements. Traditional methods of gathering member feedback often miss economically significant segments of the population, resulting in blind spots in understanding member behavior.
Solution
Predict Health offers an AI-driven member intelligence platform that captures and analyzes member feedback at scale to improve member engagement and retention for Medicare, Medicaid, and ACA plans. The platform uses AI and advanced data analytics to understand member motivations, predict their actions, and identify triggers that may cause them to switch plans. By providing insights into member behavior and preferences, Predict Health enables health plans to personalize interventions, improve service recovery, and drive member renewals, ultimately leading to improved quality ratings and health equity.
Target Audience
The primary target audience includes Medicare Advantage, Dual-Eligible Special Needs, and Medicaid plans seeking to improve member retention, acquisition, and overall plan performance.
Features
- AI-powered analytics to identify and engage both active and passive shoppers in the Medicare market.
- Predictive modeling to identify members at risk of dropping coverage and deliver targeted interventions.
- Tools for managing Enrollee Advisory Committees and capturing ongoing member input to meet CMS and accreditation requirements.
- Analysis of member behaviors and actions to measure progress towards key plan outcomes, including Stars improvement and health equity.
- Identification of vulnerable members in need of extra support, such as low-income subsidy renewals.