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This healthcare organization focuses on clinical practice, education, and research, with a 73,000-person workforce caring for over 1.3 million people annually with serious or complex conditions from all 50 U.S. states and 130 countries.
The Challenges
Disconnected consult workflows and inefficient expert discovery
- Consult requests often relied on personal networks, resulting in under- or over-targeting.
- Physicians lacked a standardized, intelligent way to find the most relevant peer for curb side consults.
- The organization needed a scalable solution that could objectively assess physician expertise and match them with appropriate clinical queries.
The Solution
Combining NLP, ML, and modular architecture for high-impact results
The solution was designed to help physicians find and engage with their colleagues who are best suited to manage a specified clinical scenario. The key features include:
- Natural Language Querying: Designed an intuitive interface where physicians could simply type clinical scenarios in natural language. AI extract medical entities and parsed these into structured medical codes (ICD-10, CPT) to match relevant expertise.
- Agile ML Development: Combined off-the-shelf tech with custom model training in an agile, rapid prototyping environment for accelerated outcomes.
- Modular Microservices Architecture: Built the solution as independent, reusable services to enhance scalability, maintainability, and speed to market.
Precision, scale, and performance in real-world clinical use
Key Learnings
Scaling Gen AI in healthcare requires both technology and human insight
Generative AI solutions demand strong qualitative assessment frameworks, especially where ground truth data is limited.
Human-in-the-loop evaluation remains critical to measure productivity and impact in clinical environments.
It’s interesting how intelligent, Gen AI-driven collaboration tools are transforming care team coordination and expert access. Whether it’s internal consults or external referrals, the future of clinical engagement is smarter, faster, and more scalable.
