One of America’s largest and most innovative healthcare technology companies, leading the movement for intelligent, coordinated care, needed a better way to design personalized healthcare plans, ones that could actually move the needle on treatment accuracy, patient outcomes, and satisfaction. But inefficient resource utilization was working against that goal, driving up costs, creating redundant tests, and contributing to frequent hospital readmissions. At the same time, the company needed to proactively identify and manage at-risk patients before chronic conditions could take hold, rather than reacting after the fact. The goal was ambitious but clear: build data-driven, cost-effective healthcare plans that could strengthen population health management at scale.
With deep expertise in GenAI capabilities, Ascendion created a web application that analyzes high-risk patients and, based on that analysis, automatically generates a care plan complete with goals, outcomes, interventions, and both long-term and short-term milestones.
To power that intelligence, Ascendion built the company’s own healthcare knowledge base and embedded it into vector databases like Pinecone. The solution brings together Azure OpenAI LLM models, prompt engineering techniques, and vector database integration to generate care plans that are both clinically grounded and genuinely personalized to each patient.
Tech Stack:
Reduced the time involved in creating a care plan by 75%.
Enhanced expert and physician capacity to focus on delivering care plans to patients rather than building them from scratch.
Introduced cutting-edge GenAI tools that foster innovation and development across the healthcare sector.
