Condition: Hypertension · Diabete Mellitus · Breathlessness · Sponsor: Sarah Nabia
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 adult primary care patients (≥18 years) presenting with hypertension, diabetes mellitus, fever, breathlessness, or musculoskeletal pain in rural and semi-urban India. The main questions it aims to answer are: * Does a nurse + large language model (LLM) consultation achieve non-inferior clinical quality scores compared with a standard doctor consultation? * Is AI-assisted nurse-led care acceptable and satisfactory to patients in primary healthcare settings? Researchers will compare nurse + LLM-led consultations with physician-led standard-of-care consultations within the same participant to see if the AI-enabled nurse model delivers comparable or improved clinical reasoning and treatment planning. Participants will: * Receive two sequential consultations for the same visit (one with a nurse using an AI tool and one with a physician, order randomized). * Have both consultations audio recorded for blinded clinical quality assessment. * Complete a brief exit survey on communication, trust, and satisfaction after the AI-assisted nurse consultation.
This description comes directly from the study's public registry record.
Sarah Nabia, MA, MPH, MBA · 4438503359 · snabia24@gmail.com
Anup Agarwal, MBBS · 5056207815 · mailanupagarwal@gmail.com
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| Liver Foundation | Kolkata, West Bengal, India | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07432893