Development and evaluation of an artificial intelligence-based workflow for the prioritization of patient portal messages.

ABSTRACT:

Objectives

Accelerating demand for patient messaging has impacted the practice of many providers. Messages are not recommended for urgent medical issues, but some do require rapid attention. This presents an opportunity for artificial intelligence (AI) methods to prioritize review of messages. Our study aimed to highlight some patient portal messages for prioritized review using a custom AI system integrated into the electronic health record (EHR).

Materials and methods

We developed a Bidirectional Encoder Representations from Transformers (BERT)-based large language model using 40 132 patient-sent messages to identify patterns involving high acuity topics that warrant an immediate callback. The model was then implemented into 2 shared pools of patient messages managed by do

SUBMITTER: Yang J 

PROVIDER: S-EPMC11328532 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature