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Not yet recruiting NCT07743320

Evaluating the Effectiveness of an AI-Powered Physician Assistant in Improving Patients' and Physicians' Satisfaction in Anaesthesiology Clinics

No phase Interventional Quality of Care Patient Satisfaction Physician Satisfaction

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: AI-Powered Physicians' Assistant.
Who it may be relevant to
Registry conditions: Quality of Care, Patient Satisfaction, Physician Satisfaction. Basic parameters: from 18 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
Pakistan
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Official title

Evaluating the Effectiveness of an AI-Powered Physician Assistant in Improving Patients' and Physicians' Satisfaction in Anaesthesiology Clinics of a Tertiary Care Hospital

Overview

This trial aimed to evaluate the effectiveness of an AI-Powered Physician Assistant in improving patients' satisfaction with the quality of care. It also aims to evaluate physicians' satisfaction with the integration of a Physician Assistant into their clinical workflows. The primary research question is A. What is the effect of an AI-powered Physician Assistant on patients' satisfaction with their quality of care compared to the standard care? The secondary questions are as follows: B1. How satisfied are physicians with integrating an AI-powered physician assistant into their daily clinical workflows? B2. Which factors are significantly associated with patient satisfaction regarding the AI-Powered Physician Assistant? B3. Is there a statistically significant difference in mean consultation time per patient between those receiving AI-assisted care and those receiving only standard of careonly ? Participants will be enrolled from pre-operative outpatient clinics, including patients attending clinic for anaesthetic clearance prior to surgery and consultant anaesthetists providing care. Patients will serve as the unit of randomization and will be assigned to one of two study arms on each clinic day. On each clinic day, the first 8 eligible patients presenting for consultation will be randomly assigned to the intervention group or the control group in a 1:1 ratio. Intervention patients will proceed to a dedicated waiting room for structured digital intake via an AI platform (demographics, symptoms, history, clinical data) and receive AI-assisted care. Control group patients will undergo routine standard care protocols. The consultant physician will evaluate both arms during each clinic session, reviewing physician assistant-generated patient summaries and charts for patients in both the intervention and control groups. Each patient will be asked to fill out the survey at the end of the consultation with the physician. The consultants will be requested to fill out a survey at the end of the day.

Interventions

  • Other AI-Powered Physicians' Assistant
    The study participant allocated to the intervention arm will interact with the AI-physician assistant application before they consult with the physician. The application will collect medical history of the patient. This will then be followed by an AI-generated clinical summary, which their physicians will receive before the consultation begins. Physicians will review this summary and ask further questions of patients if required. Any additions and changes in the patient's history will also be ma

Primary outcome measures

  • Patient Satisfaction and Outpatient Experience Score (Adapted NHS Outpatient Survey - Patient Questionnaire) [Time frame: From enrollment to the end of the study, for each patient, for 8 weeks]
Secondary outcome measures (2)
  • Daily Physician Satisfaction and Workflow Efficiency Score (End-of-Day Physician Survey) [Time frame: From enrollment to the end of the study, for each physician, for 8 weeks]
  • Total Physician Consultation Duration (Stopwatch Timestamps) [Time frame: From enrollment to the end of the study, for each patient, for 8 weeks]

Eligibility criteria

Patients and Patients' Proxies

Inclusion criteria

  • Consent to participate
  • Age 18 years and above
  • Initial patients
  • Possession of a phone
  • Read and write Urdu and/or English

Exclusion criteria

  • Emergency Care patients
  • Follow-up patients

Physicians:

Inclusion criteria

  • Attending or Consultant Physician
  • Consent to participate
  • Workflow integrated with AI Assistant

Exclusion criteria

\- Residents and Senior Medical Officers

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: Yes

Study design

Allocation
Randomized
Model
Parallel assignment
Masking
Single blind
Primary purpose
Other

Study locations

Pakistan · 1 center
  • Aga Khan University Hospital — Karachi

Identifiers

NCT: NCT07743320 · 2026-12272-41803

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗