The Center for Applied Health Informatics

The Center for Applied Health Informatics (CAHI) works with informatics researchers to define and use methods for applying data and information to clinical care and population health.

We develop and study innovations in informatics to improve both clinical and population health outcomes and work across disciplines to harness the power of data and technology. We strive to improve the lives of patients and communities in St. Louis and beyond.

Research Highlights

The Center for Applied Health Informatics leads in the research and application of informatics principles to clinical care and population health, and the identification and use of methods for improving health and health care with data and information. As a collection of applied researchers, we collaborate to share discoveries and approaches for applying clinical informatics.

The center also provides access to and training in the use of computationally derived (“synthetic”) and health services administrative data. We additionally provide data analysis and visualization services to advance applied clinical and population health research. Learn more about consultations and core services.

We demonstrate and provide support for various informatics approaches, including:

• Integrating cognitive and behavioral informatics techniques
• Clinical decision support
• Supporting clinical reasoning and workflow
• Advanced analytics for clinical data
• Informatics to promote patient safety and quality
• Supporting care continuity across transitions of both providers and patients
• Human factors and human-computer interaction analysis
• Applications of natural language processing
• Creating and using computable phenotypes
• Supporting clinicians adapting to health information technology
• Use of information to support precision care
• Application of biostatistical and machine learning algorithms to clinical data
• Maintaining data repositories and managing data assets and data dictionaries
• Training investigators, laboratory staff, and students on the ethical and secure use of data assets
• Providing leadership on the analysis and visualization of clinical and population health data
• Facilitating collaboration among interdisciplinary investigators
• Advancing the use of data to inform researchers and the St. Louis community about health and healthcare