Expert Insights on Conversational AI Systems as an Information Intermediary for Patients and Healthcare Providers for Diabetes Lifestyle Change: materials & collected data

DOI:10.4121/71ecfa47-9d3c-44ab-abe3-58cabdc41b6c.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/71ecfa47-9d3c-44ab-abe3-58cabdc41b6c
Datacite citation style:
Chen, Pei-Yu; M.B. (Birna) van Riemsdijk; Tielman, Myrthe (2024): Expert Insights on Conversational AI Systems as an Information Intermediary for Patients and Healthcare Providers for Diabetes Lifestyle Change: materials & collected data. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/71ecfa47-9d3c-44ab-abe3-58cabdc41b6c.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

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.

Study

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.

Data & analysis

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.

History

  • 2024-09-24 first online, published, posted

Publisher

4TU.ResearchData

Format

*.pdf

Funding

  • Hybrid Intelligence Center (a 10-year programme funded by the Dutch Ministry of Education, Culture and Science through the Netherlands Organisation for Scientific Research).

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems

DATA

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