United StatesHealthcare and life sciences2023 – ongoingOntrak
AI-imputation algorithm to find untreated behavioral health conditions in WholeHealth+
Ontrak said new behavioral health diagnoses followed enrollment in its WholeHealth+ program, crediting an AI-imputation algorithm
Problem
Many health plan members with behavioral health conditions have never been diagnosed or treated. Without a diagnosis, care management and risk adjustment have little to work from.
Approach
Ontrak uses a proprietary AI-imputation algorithm in its WholeHealth+ program to identify conditions that had gone unaddressed. Care coaches then work with members to encourage consistent treatment. The company compared diagnoses in the 12 months after enrollment with the 12 months before for thousands of members.
Results
Takeaway
The company counted new diagnoses, not health outcomes or costs. It did not state the number of members or how the algorithm works.
Categories
- Size
- Small business
- Industry
- Healthcare and life sciences
- Business function
- Production and quality
- Innovation type
- Product and service innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Goal
- Quality and risk
- Evidence
- Company's own claim
Sources
Source summaries
Ontrak reports a study of thousands of WholeHealth+ members comparing diagnoses 12 months after enrollment with 12 months before. It credits its AI-imputation algorithm for finding untreated conditions. Newly diagnosed shares were 42% for substance use disorder, 27% for depression, 27% for bipolar disorder, 21% for anxiety and 20% for schizophrenia.
Full details are in the original sources.