Characterizing Parental Use of a HIPAA-Compliant Large Language Model Chatbot in Rare Pediatric Diseases: Insights from Think-Aloud Sessions.

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Title: Characterizing Parental Use of a HIPAA-Compliant Large Language Model Chatbot in Rare Pediatric Diseases: Insights from Think-Aloud Sessions.
Authors: Kerr AM; Washington University School of Medicine, Division of Pediatric Hematology and Oncology, Department of Pediatrics, United States., Bereitschaft C; Washington University School of Medicine, Division of Pediatric Hematology and Oncology, Department of Pediatrics, United States., Milam S; Washington University School of Medicine, Division of Pediatric Hematology and Oncology, Department of Pediatrics, United States., Rudloff J; Washington University School of Medicine, Division of Emergency Medicine, Department of Pediatrics, United States.; Washington University School of Medicine, Institute for Informatics, Data Science and Biostatistics, United States., Bryan M; Washington University School of Medicine, Division of Endocrinology & Diabetes, Department of Pediatrics, United States., Cohen-Cutler S; The Children's Hospital of Philadelphia, Division of Oncology, Department of Pediatrics, United States., Zhao M; Washington University School of Medicine, Institute for Informatics, Data Science and Biostatistics, United States., Gupta A; Washington University School of Medicine, Institute for Informatics, Data Science and Biostatistics, United States., Lai AM; Washington University School of Medicine, Institute for Informatics, Data Science and Biostatistics, United States., Sisk BA; Washington University School of Medicine, Division of Pediatric Hematology and Oncology, Department of Pediatrics, United States.; Washington University School of Medicine, Bioethics Research Center, Department of Medicine, United States.
Source: Applied clinical informatics [Appl Clin Inform] 2026 May; Vol. 17 (3), pp. 459-465. Date of Electronic Publication: 2026 Jun 09.
Publication Type: Journal Article
Journal Info: Publisher: Thieme Country of Publication: Germany NLM ID: 101537732 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1869-0327 (Electronic) Linking ISSN: 18690327 NLM ISO Abbreviation: Appl Clin Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1869-0327
DOI:10.1055/a-2888-9182