Integrating ChatGPT in Anesthesia
Implementation of Large Language Models in Anesthesia to Answer Patients' Questions During Pre-Anesthesia Visits: A Prospective, Observational Study
1 other identifier
observational
190
1 country
1
Brief Summary
Patients are waiting for surgery longer than ever before. While hospitals are trying to get patients access to surgery as quickly as possible, a shortage of anesthesia doctors (called anesthesiologists) prevents this. Every surgery needs an anesthesiologist, but anesthesiologists also assess patients beforehand to ensure they can safely undergo surgery and help patients understand what to expect and the risks involved. Ensuring that patients move through surgery as safely and efficiently as possible requires that the limited number of anesthesiologists in Canada work as efficiently as possible. Technology like Artificial Intelligence (AI), in programs such as ChatGPT, might assist by answering common questions patients have, allowing anesthesiologists to focus their limited time on addressing complex and personalized issues for each patient. However, studies conducted so far on how well AI can answer questions about anesthesia and surgery have been poorly designed and have not included patients as members of the research team. This study will determine whether AI can answer patients' questions before surgery as effectively as both patients and expert anesthesiologists would expect, which could be beneficial to patients and the healthcare system.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Dec 2024
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 17, 2024
CompletedFirst Posted
Study publicly available on registry
October 22, 2024
CompletedStudy Start
First participant enrolled
December 9, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 30, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
June 30, 2025
CompletedOctober 22, 2024
October 1, 2024
6 months
October 17, 2024
October 18, 2024
Conditions
Outcome Measures
Primary Outcomes (1)
knowledge
Patients will be blinded to the source of the two responses (GPT-4 and Anesthesiologist). After reading both responses, they will complete a questionnaire that includes an 11-point Likert-scale question for the primary outcome of knowledge: "To what extent does the response address the knowledge or information you hoped to gain?" (0 = not at all addressed; 10 = fully addressed)
From the date of the pre-anesthesia consultation until 2 weeks after the consultation, assessed over a period of up to 2 weeks post-consultation
Secondary Outcomes (1)
Patient satisfaction
From the date of the pre-anesthesia consultation until 2 weeks after the consultation, assessed over a period of up to 2 weeks post-consultation
Other Outcomes (1)
Tertiary outcomes
From the date of the pre-anesthesia consultation until 2 weeks after the consultation, assessed over a period of up to 2 weeks post-consultation
Study Arms (2)
Patient scheduled for a pre-surgery consultation with a physician anesthesiologist
After obtaining consent, patients will be asked to respond to the following query: "What is the most important question you had hoped to ask your anesthesiologist today about your anesthesia care, pain management or the time immediately around surgery?'.
Specialty-trained anesthesiologists in independent practice within the pre-admission
anesthesiologists will be designated as either "response generators" or "response raters." Response generators will craft answers to patient queries, while response raters-anesthesiologists with over five years of clinical experience-will evaluate the quality of these responses.
Eligibility Criteria
Adults having an in-person preoperative anesthesiology consultation before elective surgery at The Ottawa Hospital
You may qualify if:
- Patients
- \. Age \> 18 years 2. Elective non-cardiac surgery 3. In-person preoperative anesthesiology consultation 4. Ability to participate and provide informed consent independently.
You may not qualify if:
- \. Unable to communicate in English or French 2. Nurse consultation only
- Physicians
- Anesthesiology residents or staff providing service at the PAU at TOH
- Anesthesiology residents or staff unwilling to participate in the research study.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Ottawa Hospital Research Institute
Ottawa, Ontario, ON K1Y 4E9, Canada
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
October 17, 2024
First Posted
October 22, 2024
Study Start
December 9, 2024
Primary Completion
May 30, 2025
Study Completion
June 30, 2025
Last Updated
October 22, 2024
Record last verified: 2024-10
Data Sharing
- IPD Sharing
- Will not share
The data collected from this study will not be shared with other researchers, however the data may be used to inform and guide future research on the integration of AI technologies in clinical practice, particularly in improving patient communication and decision-making during pre-anesthesia consultations.