AI-Driven Diagnostics & Decision Support
Case Studies
Can an AI platform actually predict risk better than everyone else?
Invene designed the Patient Health Forecast and DS workbench that won CMS’s AI Health Outcomes Challenge and Best in KLAS.
Can pharmacy inventory volume be predicted from purchasing patterns?
Invene established a model to predict pharmacy inventory volume based on segmented population data.
Can AI-driven automation optimize clinical workflows and enhance diagnostic accuracy?
Invene leveraged advanced LLM optimization techniques, including Model Ensembling with Self-MoA, fine-tuning of classification models, and multiple prompt engineering techniques, to enhance decision support and automate workflow processes in a clinical setting.
Transform Ideas Into Impact
Discover how we bring healthcare innovations to life.
