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

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

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

We will use a large language model such as GPT 3.5 to automatically generate responses to fictional messages to a physician. We will disclose whether the message was generated using this technology or not. There are 3 clinical scenarios and 6 pairs of human/AI response and human disclosure/AI disclosure/not disclosed that will test patient attitudes toward this technology.

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).

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).

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).