Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
191 participants
INTERVENTIONAL
2025-08-11
2025-10-21
Brief Summary
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Participants will then be randomised into three groups. One group will receive standard care (no AI summary emailed to them), the second group will be emailed by their doctor an AI-generated summary of the appointment, and the third group will receive the AI summary + a next steps plan. The next steps plan is generated by AI, and outlines steps they need to take after attending their appointment, based on what was discussed with their doctor.
All participants will be emailed a follow-up questionnaire on day three which is tailored to the intervention they received. This re-assesses patient satisfaction with their appointment and the use of AI, as well as their trust in the AI notetaker. Those who receive an AI summary will be asked about their satisfaction with the summary, and those who received an AI summary + next steps plan will be asked about both the summary and next steps plan.
This study will be the first to explore patient satisfaction with the use of an AI scribe in doctor's consultations, and aims to gain a better understanding of patient's perspectives on AI notetakers in primary care settings.
Detailed Description
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While emerging evidence demonstrates the benefits of automating documentation for physicians, there is a paucity of research evaluating patients' satisfaction with AI being used during one-to-one consultations. Understanding patients' satisfaction with the use of AI in primary care settings is important because it can give insight into their perceived benefits and concerns toward the technology. These perceptions can affect patients' level of engagement and rapport with their healthcare provider, which is particularly important for optimising health outcomes.
Artificial intelligence is being utilised across various healthcare contexts, including detecting, diagnosing, and treating various health condition. Research demonstrates that physicians are largely receptive to AI, with one in four doctors using it regularly in some form and increasingly often. To date, research examining patient views on the use of AI in clinical settings remains limited, particularly with respect to primary care settings. Very little research has been conducted to explore patients' perspectives on AI notetakers being used in primary care settings. Most existing research focuses on physician's views on AI in primary settings, or patient's views on AI in specialised health settings. Existing literature across more specialised settings shows that patients are generally receptive toward AI being used during their care, although there is agreement that it should be used as a tool to support clinicians rather than be used unsupervised. For patients to benefit from AI scribes in primary care, they must first be receptive towards its use. Therefore, this is the first study to examine patients' satisfaction and trust with an AI scribe in doctor's consultations. It is important to research this in order to understand their preferred level of engagement with the technology.
This study will address this gap in the literature by providing experimental research on patient's self-reported satisfaction with AI scribes. This research will incorporate patients with a range of ethnicities, ages (18+) and health conditions/concerns. Researching in a primary care setting will enable our study to capture a range of views on artificial intelligence across varying presenting problems, without limiting participants based on their health condition. This study will help to indicate whether patients are receptive to AI notetakers being used during their appointments or not. Understanding people's satisfaction and trust in AI is important because it may effect their level of engagement with their doctor if they frequently use AI.
Providing patients with an AI summary of their appointment may improve overall appointment satisfaction. This intervention will remind patients what was discussed during the appointment (including what actions they are expected to take next), which may improve health outcomes by helping patients to take action on the doctor's recommendations. This intervention will be particularly beneficial for patients with complex health conditions who have to recall a substantial amount of information about their treatment.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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AI Summary
Participants who are randomised to the 'AI Summary' arm will receive an AI-generated summary of their doctors appointment via email.
AI Generated Summary
Summary of the doctor's appointment generated by AI (either with or without the Next Steps Plan, depending on the arm participants are allocated to).
AI Summary + Next Steps Plan
Participants who are randomised to the 'AI Summary + Next Steps Plan' arm will receive an AI-generated summary of their doctor's appointment via email, as well as an AI-generated plan for their treatment as per the recommendations of the doctor. This may include actionable steps, such as 'collect prescription from pharmacy'.
AI Generated Summary
Summary of the doctor's appointment generated by AI (either with or without the Next Steps Plan, depending on the arm participants are allocated to).
Control
The control arm will receive standard care, where no summary of the appointment is emailed.
No interventions assigned to this group
Interventions
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AI Generated Summary
Summary of the doctor's appointment generated by AI (either with or without the Next Steps Plan, depending on the arm participants are allocated to).
Eligibility Criteria
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Inclusion Criteria
18 Years
ALL
Yes
Sponsors
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Papatoetoe Family Doctors
UNKNOWN
The University of Auckland
UNKNOWN
University of Auckland, New Zealand
OTHER
Responsible Party
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Keith J Petrie
Professor
Principal Investigators
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Keith Petrie, Professor of Health Psychology
Role: PRINCIPAL_INVESTIGATOR
University of Auckland, New Zealand
Locations
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Papatoetoe Family Doctors
Auckland, , New Zealand
Countries
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Other Identifiers
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AH29769
Identifier Type: -
Identifier Source: org_study_id