Using NLP and Neural Networks to Autonomously Identify Severe Asthma and Determine Study Eligibility in a Large Healthcare System

ClinicalTrials.gov ID: NCT06389058

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Brief summary

Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.

The study aims to to use new technologies (ML, AI, NLP), to autonomously identify moderate to severe asthma populations within an EHR system, describe differences in treatment patterns across different populations, and determine trial eligibility. Primary Objectives Please ensure you detail primary objectives Aim 1. Determine and validate a diagnosis of severe asthma (SA) using predictive features obtained from the Scripps Health EHR. * Aim 1a: Use ML applied to structured EHR data to predict SA. Use the opinion of 2 specialty-trained physicians and ATS guidelines to determine model accuracy. * Aim 1b: Use NLP applied to unstructured text to predict SA. Determine model accuracy as above in Aim 1a. * Aim 1c: Use a combination of ML applied to structured data to predict SA. Determine model accuracy as above in Aim 1a.

Study identification

NCT ID: NCT06389058
Recruitment status: Active, not recruiting
Study type: Observational
Phase: Not listed
Lead sponsor: San Diego State University; Other
Enrollment: 31,795 participants

Conditions and interventions

Conditions

Severe Asthma

Interventions

Recommendation for the diagnoses and treatment of Severe Asthma Other

Other

Eligibility (public fields only)

Age range: 6 Years to 85 Years
Sex: All
Healthy volunteers: Healthy volunteers not accepted

This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.

Study timeline

Start date: May 1, 2023 (Actual)
Primary completion: Dec 2026 (Estimated)
Completion: Dec 2026 (Estimated)
Last update posted: Apr 22, 2026

2023 – 2026

United States locations

U.S. sites: 1
U.S. states: 1
U.S. cities: 1

Facility	City	State	ZIP	Site status
San Diego State University	San Diego	California	92182-1309	—

Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.

About this trial record page

What this page shows: Public field values for ClinicalTrials.gov record NCT06389058, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
What this page does not do: No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
Where the data comes from: Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
Last refresh: Last update posted Apr 22, 2026 · Synced Nov 13, 2026