Integrating ChatGPT in Anesthesia

NCT ID: NCT06652854

Last Updated: 2024-10-22

Basic Information

• Recruitment Status: NOT_YET_RECRUITING
• Total Enrollment: 190 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2024-12-09
• Study Completion Date: 2025-06-30

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.

Conditions

Preoperative Care; Patient Education; Anesthesia; Artificial Intelligence

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Study Groups

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?'.

No interventions assigned to this group

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.

No interventions assigned to this group

Eligibility Criteria

Inclusion Criteria

Patients

• 1. Age > 18 years 2. Elective non-cardiac surgery 3. In-person preoperative anesthesiology consultation 4. Ability to participate and provide informed consent independently.

Anesthesiology residents or staff providing service at the PAU at TOH

Exclusion Criteria

• 1. Unable to communicate in English or French 2. Nurse consultation only

Physicians

Anesthesiology residents or staff unwilling to participate in the research study.

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Ottawa Hospital Research Institute

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Locations

Ottawa Hospital Research Institute

Ottawa, Ontario, Canada

Countries

Canada

Central Contacts

Arnaud Romeo, Mbadjeu Hondjeu, MD

Role: CONTACT

ambadjeu@toh.ca

613-737-8187

Daniel McIsaac, MD

Role: CONTACT

dmcisaac@toh.ca

613-737-8187

Facility Contacts

Arnaud Romeo Mbadjeu Hondjeu, MD

Role: primary

ambadjeu@toh.ca

613-737-8187

Daniel McIsaac, MD

Role: backup

dmcisaac@toh.ca

613-737-8187

Provided Documents

Document Type: Study Protocol and Statistical Analysis Plan

View Document

Document Type: Informed Consent Form

View Document

Other Identifiers

20240526-01H

Identifier Type: -

Identifier Source: org_study_id