Kaiser Foundation Hospitals

Pratabkumar Vemana

Suman K Mishra

Sarang Aranke

Sivasubramanian Sundaram

Raghunath Raman

Subha Parthasarathy

Inna Fedoseyeva

Narayanan Gopala

Madhur Pande

A system for multi-regional intelligent classification and routing based on processing a message uses an artificial intelligence platform. Artificial Intelligence (AI) and machine learning (ML) based approaches significantly optimize the user experience and efficiently utilize care coordination and delivery workflows in healthcare organizations. Trained machine learning models are used to intelligently route messages from a patient member seeking access to care, determining an intent and entities from the message to perform an action in response to their message.

Multi-regional intelligent classification and routing

A system and method for generating a total health index and recommending an actionable intervention for managing a health risk of a patient is disclosed. The method includes receiving user-generated data, clinical data, and pharmacy data in association with a patient, determining a social health index score based on the user-generated data, determining a clinical risk index score based on the clinical data, determining a medication adherence index score based on the pharmacy data, determining, using a machine learning model on one or more of the social health index score, the clinical risk index score, and the medication adherence index score, a total health index score and an actionable intervention for managing a health risk in association with the patient based on the total health index score, and automatically initiating the actionable intervention.

Health care management using a total health index

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Oakland, CA, United States of America

Pratabkumar Vemana