Integrating ChatGPT in Anesthesia

Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorOttawa Hospital Research Institute

About this trial

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.

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

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

Disqualifiers

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

Trial population

Adults having an in-person preoperative anesthesiology consultation before elective surgery at The Ottawa Hospital

Trial design

Design model

Cohort

Time perspective

Prospective

Treatments tested in this trial

Not listed

Trial groups

190 Participants
are grouped into 2 trial groups
Group A: Patient scheduled for a pre-surgery consultation with a physician anesthesiologist
Group B: Specialty-trained anesthesiologists in independent practice within the pre-admission

Trial outcomes

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)

Time frame
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

Secondary Outcome: Patient satisfaction, Patient satisfaction will be assessed using a likelihood to recommend measurement based on a 11-point Likert scale (Question: Thinking about the response you received to your question, how likely are you to recommend the response's provider to a family member or friend going for a similar surgery? 0-not at all likely; 10-extremely likely).

Time frame
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

Three tertiary outcomes will be assessed using an 11-point Likert scale: 1. Health Literacy:Assessed through the prompt: "I have sufficient information to make decisions about my surgery." 2. Perceived Empathy:Evaluated with the question: "To what extent did you find the response empathetic?" 3. Completeness: Measured by the question: "To what extent did you find the response complete?

Time frame
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

Sponsors and contacts

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This trial is not recruiting at the moment. You can still explore other options: