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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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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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. |
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| Measure | Description | Time Frame |
|---|---|---|
| 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 |
| Measure | Description | Time Frame |
|---|---|---|
| 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). |
| Measure | Description | Time Frame |
|---|---|---|
| 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? |
Inclusion Criteria:
Patients
Exclusion Criteria:
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.
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Adults having an in-person preoperative anesthesiology consultation before elective surgery at The Ottawa Hospital
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Arnaud Romeo, Mbadjeu Hondjeu, MD | Contact | 613-737-8187 | ambadjeu@toh.ca | |
| Daniel McIsaac, MD | Contact | 613-737-8187 | dmcisaac@toh.ca |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Ottawa Hospital Research Institute | Ottawa | Ontario | ON K1Y 4E9 | Canada |
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.
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Oct 3, 2024 | Oct 16, 2024 | Prot_SAP_000.pdf |
| ICF | No | No | Yes | Informed Consent Form | Oct 3, 2024 | Oct 17, 2024 | ICF_001.pdf |
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| 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 |
| 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 |