{
  "id": 11080,
  "url": "https://www.jmir.org/2026/1/e92356",
  "title": "An Acceptance Criteria Framework for Determining the Implementation Fit of Custom Large Language Models in Public Health Interventions",
  "summary": "Large language models (LLMs) are increasingly embedded in clinical and population health workflows, including conversational agents such as health chatbots. As chatbots evolve from rule-based approaches to hybrid and LLM-enabled designs, risks and concerns about deployment readiness shift. Unlike rule-based chatbots, LLM outputs can be unpredictable, error-prone, and difficult to validate with traditional evaluation methods. Public health teams integrating customized LLMs into interventions face",
  "authors": "Andy J King, Anthony Banks, Leandra H Hernández, Sabrina S Thompson, Leticia Stevens, Lindsey N Potter, Kimberly A Kaphingst, Paul A Estabrooks, Guilherme Del Fiol, David W Wetter, Chelsey R Schlechter",
  "category": "research",
  "topics": "healthcare,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-16T18:00:20.000Z",
  "fetched_at": "2026-07-17T05:10:53.887Z",
  "source_slug": "x-jmir-journal-of-medical-internet-researc",
  "source_name": "JMIR (Journal of Medical Internet Research)",
  "source_homepage": "https://www.jmir.org",
  "ethics_ai_record_url": "https://ethics.ai/record/11080",
  "original_url": "https://www.jmir.org/2026/1/e92356",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}