HEALTHEM.AI DELIVERS VALUE TO
7 KEY LINES OF BUSINESS
Leverage patient and population analytics for outcome-driven insights in achieving clinical excellence and preventing avoidable adverse events to drive shared savings goals.
Determine emerging value and risks by evaluating historical and real-time patient data at an individual level and at cohort scale.
Employ predictive analytics to identify potential pitfalls and opportunities for reducing MLR and improving Star ratings for medication use.
Get accurate insights to estimate the level of risk that comes with providing health insurance plans to individuals. Ensure plans are accurately priced, depending on eligibility and previous behavior patterns.
Maintain integrity of Medicaid plans by leveraging data analytics and predictive modeling to identify risky patients, improve outcomes, and quality of care.
Get visibility into data across clinical setups to better drive patient-centric care. Glean actionable insights from disparate data sources across EMRs, practice management systems, and more.
Leverage persona-driven insights into every patient’s profile at scale, and realize ROI faster with Al-based decision making from ingestion to cataloging to provisioning using end-to-end data management.
PREDICTIVE AI MODELING IN HEALTCARE: REAL-WORLD APPLICATIONS
Hospital Admission Model
Chronic Specific Model
Hospital Readmission Model
ER Event Model
Palliative Care Model
“Our goal is to efficiently arm doctors with a set of insights regarding each patient’s current overall and oral health. Our partnership with HealthEM.AI supports this vision.”