cff-version: 1.2.0
abstract: "<p>This dataset consists of 1) worksheets for capturing participants' feedback on current diabetes care practices; 2) worksheets for collecting participants' opinions on proposed AI scenarios; and 3) a document with notes from a dedicated notetaker. The goal of this work is to gather healthcare experts' insights on the role of conversational intermediary AI (CIAI) in enhancing patient-provider communication.</p><p></p><p><strong>Study</strong></p><p>we conducted an exploratory focus group with healthcare experts to discuss the present state of diabetes care, illustrated through a storyboard that showcases interactions between a patient, a GP assistant, and an AI system for promoting healthy lifestyle changes. We also explored the proposed AI functionalities introduced in the storyboard.</p><p></p><p><strong>Data &amp; analysis</strong></p><p>During the sessions, participants used worksheets with structured discussion prompts and space for notes. A dedicated notetaker captured the verbal contributions, enriching the dataset with detailed expert insights.</p>"
authors:
  - family-names: Chen
    given-names: Pei-Yu
    orcid: "https://orcid.org/0000-0001-7139-1203"
  - family-names: van Riemsdijk
    given-names: M.B. (Birna)
    orcid: "https://orcid.org/0000-0001-9089-5271"
  - family-names: Tielman
    given-names: Myrthe
    orcid: "https://orcid.org/0000-0002-7826-5821"
title: "Expert Insights on Conversational AI Systems as an Information Intermediary for Patients and Healthcare Providers for Diabetes Lifestyle Change: materials &amp; collected data"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/71ecfa47-9d3c-44ab-abe3-58cabdc41b6c.v1
license: CC BY 4.0
date-released: 2024-09-24