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NCT Number: NCT06652854

Integrating ChatGPT in Anesthesia

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.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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.

Exclusion criteria

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

Physicians

Inclusion criteria

Anesthesiology residents or staff providing service at the PAU at TOH

Exclusion criteria

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

Treatment and study plan

Primary outcomes

  1. knowledge

    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

    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)

Secondary outcomes

  1. Patient satisfaction

    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 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).

Other outcomes

  1. Tertiary outcomes

    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

    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?

Study contacts

Contact information is provided by the study sponsor or research team.

Arnaud Romeo, Mbadjeu Hondjeu, MD

CONTACT

[email protected]

613-737-8187

Daniel McIsaac, MD

CONTACT

[email protected]

613-737-8187

Sponsors and collaborators

Lead sponsor

Ottawa Hospital Research Institute

Other

Registry information

Official study title

Implementation of Large Language Models in Anesthesia to Answer Patients' Questions During Pre-Anesthesia Visits: A Prospective, Observational Study

Important dates

Study start
2024
Primary completion
2025
Study completion
2025
First posted
Oct 22, 2024
Registry last updated
Oct 22, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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