Communication
Conditions
Keywords
Artificial Intelligence, Generative Artificial Intelligence
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.
Interventions
BEHAVIORALGenerative AI for electronic communication and disclosure
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.
Sponsors
Duke University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
SINGLE (Subject)
Masking description
Participants will not be aware of the arm they are assigned to. There is no care provider or outcomes assessor in this study, as the patients will report their own perceptions in a survey.
Intervention model description
* Participants will be randomly allocated to one of six arms. * Over the course of the study period, there will be multiple rounds of surveys, which will consist of a clinical scenario, a response (human or AI generated), and a disclosure statement (none, human, or AI). * All respondents within an arm will be assigned to a sequence of response-disclosure pairs prior to the first round of surveys.
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Member of the Duke Health Listens patient advocacy community
Exclusion criteria
* Age \< 18
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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). |
| 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). |
Countries
United States
Outcome results
None listed