Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

A Trial of AI-Powered Text Message Outreach on Well-Child Visit Completion

Waymark · 2025
ClinicalTrials.gov · Datasets · License: Public Domain · 2025
Open Source ↗
na
The goal of this clinical trial is to evaluate whether conversational AI-powered text message outreach with appointment scheduling assistance improves well-child visit completion rates in Medicaid-enrolled children aged 0-21 years compared with automated text messages alone or traditional passive outreach. The main questions it aims to answer are: Does automated SMS outreach improve well-child visit completion rates compared to traditional passive outreach? Does conversational AI-powered scheduling assistance lead to higher completion rates than automated SMS alone? Researchers will compare three groups: Control Group: Participants receive traditional passive outreach (mailed reminders). Automated SMS Group: Participants receive standardized automated text message reminders. Automated SMS + Conversational AI Scheduling Assistance Group: Participants receive automated text messages plus AI-powered appointment scheduling assistance that contacts primary care providers directly to book appointments on behalf of families. Participants will: Be randomized into one of three study groups at the household level. Receive outreach from June 9-July 14, 2025. Have well-child visit completion ascertained through administrative claims through December 31, 2025. This study tests whether concrete scheduling support - rather than reminders alone - drives preventive care utilization in pediatric Medicaid populations.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1046003
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive