Adapting data science competencies by role and purpose: Voice AI.

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Bibliographic Details
Title: Adapting data science competencies by role and purpose: Voice AI.
Authors: Dorr DA; Division of Informatics, Clinical Epidemiology, and Translational Data Science, Department of Medicine, Oregon Health & Science University, Portland, OR, United States., Krussel A; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, MO, United States., Hauck R; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, MO, United States., Jackson C; Division of Informatics, Clinical Epidemiology, and Translational Data Science, Department of Medicine, Oregon Health & Science University, Portland, OR, United States., Dalal A; Division of Informatics, Clinical Epidemiology, and Translational Data Science, Department of Medicine, Oregon Health & Science University, Portland, OR, United States., Bedrick S; Division of Informatics, Clinical Epidemiology, and Translational Data Science, Department of Medicine, Oregon Health & Science University, Portland, OR, United States., Payne PRO; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, MO, United States., Hersh W; Division of Informatics, Clinical Epidemiology, and Translational Data Science, Department of Medicine, Oregon Health & Science University, Portland, OR, United States.
Corporate Authors: Bridge2AI-Voice Consortium
Source: Frontiers in digital health [Front Digit Health] 2025 Oct 21; Vol. 7, pp. 1610253. Date of Electronic Publication: 2025 Oct 21 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101771889 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-253X (Electronic) Linking ISSN: 2673253X NLM ISO Abbreviation: Front Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2673-253X
DOI:10.3389/fdgth.2025.1610253