Integrating AI and Telehealth with the Statewide Health Information Exchange (HIE)

Project Overview

This project will leverage data from the statewide Health Information Exchange (HIE) implemented by the Mississippi Hospital Association (MHA).

As part of the project, a key use case will involve submitting identifiable patient information into the HIE in order to track real-time and historical hospital and emergency department (ED) utilization. This capability will allow care teams to monitor where and when patients are accessing acute care services across the state, identify patterns of frequent utilization, and demonstrate impact of various Telehealth programs in reducing acute care and ED utilization.

In Year 5, the scope of data use will expand to focus on multiple key populations: children with medical complexity, individuals receiving HIV care, students utilizing school-based Telehealth and patients on rpm for chronic diseases. These populations will benefit from longitudinal tracking and data-driven insights derived from HIE utilization data.

Additionally, the project will integrate an artificial intelligence (AI) platform into the established referral network to streamline the eConsult process. The AI system from a contracted vendor will be designed to automatically generate concise summaries—ranging from one to two pages—of patient information submitted for eConsults. These summaries will highlight the most relevant clinical details, reducing the time specialists need to review cases and improving the efficiency and timeliness of specialist consultations and providing rapid state wide access to specialists.