DHL Survey on Generative AI for MyChart Messaging

Duke University

Status: Completed

Conditions: Communication

Treatments: Behavioral: Generative AI for electronic communication and disclosure

Study type: Interventional

Funder types: Other

Identifiers

NCT06108037

Pro00113587

Details and patient eligibility

About

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.

Full 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.

Enrollment: 1,454 patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Member of the Duke Health Listens patient advocacy community

Exclusion criteria

• Age < 18

Trial design

Primary purpose: Other

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Single Blind

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1,454 participants in 6 patient groups

Arm A

Other group

Description:

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

Treatment:

Behavioral: Generative AI for electronic communication and disclosure

Arm B

Other group

Description:

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

Treatment:

Behavioral: Generative AI for electronic communication and disclosure

Arm C

Other group

Description:

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

Treatment:

Behavioral: Generative AI for electronic communication and disclosure

Arm D

Other group

Description:

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

Treatment:

Behavioral: Generative AI for electronic communication and disclosure

Arm E

Other group

Description:

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

Treatment:

Behavioral: Generative AI for electronic communication and disclosure

Arm F

Other group

Description:

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

Treatment:

Behavioral: Generative AI for electronic communication and disclosure