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PatientEvent: An Event-Based Ontology for Patient-Initiated Portal Communication.

Joseph Gatto, Jialin Yang, Parker Seegmiller

Medrxiv : the Preprint Server for Health Sciences

|June 12, 2026

Summary

This summary is machine-generated.

A new clinical event ontology standardizes patient portal messages, improving communication analysis and tool development. This structured vocabulary aids in understanding clinical and administrative details within patient messages.

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Area of Science:

Health Informatics
Clinical Communication
Ontology Development

Background:

Patient portal messaging is a key asynchronous clinical communication channel, handling diverse content from symptoms to administrative issues.
Current lack of a formal representation for portal message content hinders systematic analysis and the development of downstream tools.
A structured vocabulary is needed to represent clinical and administrative events disclosed in patient portal messages.

Purpose of the Study:

To introduce a clinical event ontology for patient portal messages.
To provide a formal representation for the clinical and administrative events described in patient portal communications.
To enable systematic analysis and the development of tools for patient portal messages.

Main Methods:

Developed a clinical event ontology iteratively with clinical expert collaboration and human evaluation.
The ontology includes 8 event types and 70 roles covering clinical content (symptoms, medications, tests, etc.) and administrative content (needs, logistics, social factors).
Grounded the ontology in real patient portal messages to ensure clinical relevance.

Main Results:

Introduced a comprehensive clinical event ontology for patient portal messages.
The ontology encompasses 8 event types and 70 roles, covering both clinical and administrative aspects of patient communication.
Utilized the ontology to analyze clinician follow-up questions, identifying frequently sought event types and roles.

Conclusions:

The developed clinical event ontology provides a foundational structure for analyzing patient portal messages.
This ontology facilitates systematic analysis, assessment of message completeness, and the creation of downstream applications like automated triage and response drafting.
Analysis using the ontology offers insights into clinician information needs when reviewing patient portal communications.