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SIRSI: A Prototype Cognitive Support Application for Clinical Decision Making

We are primarily concerned with the development of a cognitive support system that can assist physicians in their decision-making tasks. Specifically, we are interested in

• Capturing, understanding and analyzing the nature and structure of expert clinician knowledge concerning commonly occurring diseases using human-intensive and semi-automated methods
• Developing service-oriented architecture for flexible medical data retrieval, intelligent knowledge organization and presentation for efficient clinical decision-making

Related to this, we are also investigating clinical information seeking practices and alternative mechanisms for intelligent information presentation in clinical contexts.

Product

SIRSI: A prototypical Cognitive Support Application to Clinical Decision Making in relation to diagnosing and treating Sepsis. Contact Trevor Cohen for details.

Publication

Kannampallil TG, Franklin A, Mishra R, Almoosa KF, Cohen T, & Patel VL. Understanding the nature of information seeking behavior in critical care: Implications for the design of health information technology. Artificial Intelligence in Medicine. 2012.