DHL Survey on Generative AI for MyChart Messaging
- Conditions
- Communication
- Interventions
- Behavioral: Generative AI for electronic communication and disclosure
- Registration Number
- NCT06108037
- Lead Sponsor
- Duke University
- Brief Summary
The purpose of this study is to understand how patients feel about the use of computer programs to create responses when they send electronic messages to their doctors.
- Detailed Description
* The investigators will create short surveys online to ask patients how they feel about using computer programs that create messages in their medical records.
* The surveys will show fictional situations where patients ask questions and get answers from either real people or computer programs, with or without a disclosure about how the response was written.
* The investigators will ask the people taking the survey to share what they think about these situations using tools like rating scales, comparison scales, or written responses.
* If patients want to, they can provide their contact information to be part of future discussion groups. Participants do not have to give any personal information to complete the survey.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 1454
- Member of the Duke Health Listens patient advocacy community
- Age < 18
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description Arm D Generative AI for electronic communication and disclosure Each arm will receive 3 clinical scenarios spaced over time across 3 Sends. The 6 groups (Arms A-F) will be arranged with naming conventions as such: * First letter = A, B, or C where A = scenario 1, B = scenario 2, and C = scenario 3. * Second letter(s) = H or AI, where H = human response and AI = AI-written response to the patient question posed. * Third letter(s) = N, C, or H, where N = no disclosure, C = computer disclosure, and H = human disclosure. This refers to the disclosure at the bottom of the response message whereby the author is or is not disclosed. Arm D receives AAIH in Send 1, BHN in Send 2, and CAIC in Send 3 Arm A Generative AI for electronic communication and disclosure Each arm will receive 3 clinical scenarios spaced over time across 3 Sends. The 6 groups (Arms A-F) will be arranged with naming conventions as such: * First letter = A, B, or C where A = scenario 1, B = scenario 2, and C = scenario 3. * Second letter(s) = H or AI, where H = human response and AI = AI-written response to the patient question posed. * Third letter(s) = N, C, or H, where N = no disclosure, C = computer disclosure, and H = human disclosure. This refers to the disclosure at the bottom of the response message whereby the author is or is not disclosed. Arm A receives AHN in Send 1, BAIC in Send 2, and CHH in Send 3 Arm E Generative AI for electronic communication and disclosure Each arm will receive 3 clinical scenarios spaced over time across 3 Sends. The 6 groups (Arms A-F) will be arranged with naming conventions as such: * First letter = A, B, or C where A = scenario 1, B = scenario 2, and C = scenario 3. * Second letter(s) = H or AI, where H = human response and AI = AI-written response to the patient question posed. * Third letter(s) = N, C, or H, where N = no disclosure, C = computer disclosure, and H = human disclosure. This refers to the disclosure at the bottom of the response message whereby the author is or is not disclosed. Arm E receives BAIH in Send 1, CHN in Send 2, and AHC in Send 3 Arm B Generative AI for electronic communication and disclosure Each arm will receive 3 clinical scenarios spaced over time across 3 Sends. The 6 groups (Arms A-F) will be arranged with naming conventions as such: * First letter = A, B, or C where A = scenario 1, B = scenario 2, and C = scenario 3. * Second letter(s) = H or AI, where H = human response and AI = AI-written response to the patient question posed. * Third letter(s) = N, C, or H, where N = no disclosure, C = computer disclosure, and H = human disclosure. This refers to the disclosure at the bottom of the response message whereby the author is or is not disclosed. Arm B receives BHC in Send 1, CAIH in Send 2, and AAIN in Send 3 Arm C Generative AI for electronic communication and disclosure Each arm will receive 3 clinical scenarios spaced over time across 3 Sends. The 6 groups (Arms A-F) will be arranged with naming conventions as such: * First letter = A, B, or C where A = scenario 1, B = scenario 2, and C = scenario 3. * Second letter(s) = H or AI, where H = human response and AI = AI-written response to the patient question posed. * Third letter(s) = N, C, or H, where N = no disclosure, C = computer disclosure, and H = human disclosure. This refers to the disclosure at the bottom of the response message whereby the author is or is not disclosed. Arm C receives CHC in Send 1, AHH in Send 2, and BAIN in Send 3 Arm F Generative AI for electronic communication and disclosure Each arm will receive 3 clinical scenarios spaced over time across 3 Sends. The 6 groups (Arms A-F) will be arranged with naming conventions as such: * First letter = A, B, or C where A = scenario 1, B = scenario 2, and C = scenario 3. * Second letter(s) = H or AI, where H = human response and AI = AI-written response to the patient question posed. * Third letter(s) = N, C, or H, where N = no disclosure, C = computer disclosure, and H = human disclosure. This refers to the disclosure at the bottom of the response message whereby the author is or is not disclosed. Arm F receives CAIN in Send 1, AAIC in Send 2, and BHH in Send 3
- Primary Outcome Measures
Name Time Method Patient empathy, as measured by survey Up to 2 weeks Likert-scale responses to empathy question: "I feel cared for during this interaction", on a scale from 1-5 with answer options of Strongly Disagree (1), Disagree (2), Neither agree nor disagree (3), Agree (4), and Strongly agree (5).
Patient satisfaction, as measured by survey Up to 2 weeks Likert-scale responses to satisfaction question: "I am satisfied with this interaction", on a scale from 1-5 with answer options of Strongly Disagree (1), Disagree (2), Neither agree nor disagree (3), Agree (4), and Strongly agree (5).
Patient attitudes towards utility, as measured by survey Up to 2 weeks Likert-scale responses to utility question: "The information is useful", on a scale from 1-5 with answer options of Strongly Disagree (1), Disagree (2), Neither agree nor disagree (3), Agree (4), and Strongly agree (5).
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Duke University Health System
🇺🇸Durham, North Carolina, United States