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Clinical Decision Support Tool Comprising Extractive and Conversational Generative Large Language Models (LLMs) to Assist Palliative Care Health Workers Based on a Knowledge Base of Indian Patient Case Scenarios

Anurag Agrawal of Ashoka University in India will develop an LLM-based platform to support medical decision making by home healthcare workers in India who are meeting the growing demand for home-based palliative care. The platform will use an existing proprietary LLM to extract and summarize relevant clinical information, connecting it with an existing open-source AI chatbot to generate advice in a conversational format for healthcare workers. They will test the platform using a dataset they will build of palliative care scenarios, focused initially on care for lung diseases, and they will compare outputs from several different open-source LLMs to guide the platform's final configuration. Expert clinicians will evaluate the clinical advice generated by the platform for its factual accuracy and relevance to the Indian sociocultural context.

More information about Grand Challenges India: Catalyzing Equitable Artificial Intelligence (AI) Use to Improve Global Health