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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

Number of (A) member posts, (B) moderator posts, and (C) total number of individuals (members and moderators) posting each month on the Connect Share Care network (c Chart Statistical Process Control analysis). The mean is represented by the turquoise (solid) line. The UCLs and LCLs are represented by the red dash lines. CL: confidence limit; LCL: lower confidence limit; UCL: upper confidence limit. Care partner experience was assessed via an anonymous survey.

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

From Internet to Artificial Intelligence (Al) Bots: Symbiotic Evolutions of Digital Technologies and e-Patients

From Internet to Artificial Intelligence (Al) Bots: Symbiotic Evolutions of Digital Technologies and e-Patients

In the words of Dave de Bronkart, as quoted in the New York Times [43]: “Google gives you access to information. A.I. gives access to clinical thought.” AI chatbots have been a boon for patients (as well as health care professionals), allowing them to better understand their health conditions, not only by answering questions but also by helping them understand their medical records [44-46].

Daniel Z Sands, Nancy B Finn

J Particip Med 2025;17:e68911