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AI-Powered Drug Classification and Indication Mapping for Pharmacoepidemiologic Studies: Prompt Development and Validation

AI-Powered Drug Classification and Indication Mapping for Pharmacoepidemiologic Studies: Prompt Development and Validation

For each drug, a Python program looped through the top 10 results (the default number of items returned) and searched for strings matching the regular expression “[A-Z]\d{2}[A-Z]{2}\d{2}.” The first 3 characters of these strings were added to a list, and the highest frequency second-level ATC code was the choice made by the search-based algorithm. The grading of the search-based algorithm was simplified.

Benjamin Ogorek, Thomas Rhoads, Eric Finkelman, Isaac R Rodriguez-Chavez

JMIR AI 2025;4:e65481

Feasibility and Usability of a Web-Based Peer Support Network for Care Partners of People With Serious Illness (ConnectShareCare): Observational Study

Feasibility and Usability of a Web-Based Peer Support Network for Care Partners of People With Serious Illness (ConnectShareCare): Observational Study

A subset of care partner members (n=18) completed anonymous surveys on their experience with the network, including 13 engaged members (who signed in to the network at least once in the prior 90 d), 1 inactive member (who had not signed in to the network within the prior 90 d), and 4 members responding from an anonymous link provided on the website.

Aricca D Van Citters, Megan M Holthoff, Colleen Young, Sarah M Eck, Amelia M Cullinan, Stephanie Carney, Elizabeth A O'Donnell, Joel R King, Malavika Govindan, David Gustafson, Stephanie C Tomlin, Anne B Holmes, Ann D Bradley, Brant J Oliver, Matthew M Wilson, Eugene C Nelson, Amber E Barnato, Kathryn B Kirkland

JMIR Form Res 2025;9:e70206