CHAI's mission is to improve human health and medical research through innovations in the capture, analysis, and delivery of data to healthcare stakeholders.

The Center has four key goals:

• The creation of a harmonized health data ecosystem across different data types including structured, unstructured, on-body, genomic, and patient reported data
• The creation and adoption of standardized open source platforms for health analytics, incorporating advanced machine learning, natural language processing, sensors, and deep phenotyping
• The promotion and development of health interoperability protocols such as FHIR and OHDSI
• The application of user experience design and evaluation to evaluate the effectiveness of data-driven healthcare intervention

The Center's focus areas are: 

• AI and Large Language Models
• Machine Learning
• Synthetic Data Generation
• Data Visualization
• Health Data Interoperability
• Health Data Standards
• Automated Clinical Chart Abstraction

• Domains including Clinical Research, Population Health, Cost Effectiveness, Quality and Safety