Status:
RECRUITING
Assessing the Effectiveness of Large Language Model (LLM)-Enabled Nurse Treatment Planning in 2 Indian Districts
Lead Sponsor:
Sarah Nabia
Collaborating Sponsors:
Liver Foundation, West Bengal
Endless Health
Conditions:
Hypertension
Diabete Mellitus
Eligibility:
All Genders
18+ years
Phase:
NA
Brief Summary
The goal of this clinical trial is to learn whether AI-enabled, nurse-led treatment planning can improve the quality of clinical reasoning and management compared with standard physician-led care in a...
Eligibility Criteria
Inclusion Criteria:
-
Adults aged ≥18 years
-
Presenting to participating primary care facilities in study sites
-
Meeting criteria for at least one of the following conditions or symptoms:
- Hypertension: Known diagnosis
- Diabetes mellitus: Known diagnosis or laboratory evidence (HbA1c ≥6.5%, fasting blood glucose ≥126 mg/dL, or post-prandial glucose ≥200 mg/dL)
- Fever: Presenting as chief complaint
- Breathlessness: Presenting as chief complaint, without evidence of fever
- Musculoskeletal pain: Presenting as chief complaint, without evidence of fever
-
Able and willing to provide written informed consent
-
Willing to participate in two sequential consultations and complete an exit survey
Exclusion Criteria:
- Inability to provide informed consent due to cognitive impairment (e.g., dementia or intellectual disability)
- Medical instability or condition requiring immediate emergency referral
- Prior participation in the study during an earlier visit
Key Trial Info
Start Date :
January 13 2026
Trial Type :
INTERVENTIONAL
Allocation :
ESTIMATED
End Date :
July 31 2026
Estimated Enrollment :
672 Patients enrolled
Trial Details
Trial ID
NCT07432893
Start Date
January 13 2026
End Date
July 31 2026
Last Update
February 25 2026
Active Locations (1)
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1
Liver Foundation
Kolkata, West Bengal, India