Decision Support Analytics Workgroup
Research Interests

Research Interests

Advanced Analytics

We use both basic and advanced statistical and visual methods to derive insight from our data assets. Most of our work includes extracting patterns or anomalies from large datasets.

Alert Management and Alert Fatigue

Electronic alerts and notifications are one of the primary ways clinical decision support is delivered in the electronic health record, but also one of the most challenging forms of CDS to implement effectively. Our group uses a data- and evidence-driven approach to assessing the performance of our CDS alerts.

Patient Safety & Error Detection/Mitigation

Safety concerns and errors are vastly underreported, but trigger tools and surveillance algorithms can help identify and mitigate issues accurately and in real-time.

Secondary Use of Data

Large amounts of data are generated by health information technologies every day. We harness that data to improve the CDS and quality of care we provide to our patients and staff.

Machine Learning

Artificial intelligence is a popular buzzword these days, but several of our members work to effectively leverage machine learning and natural language processing techniques to improve CDS and realize positive care outcomes.

Implementation Research

Our work branches the entire translational spectrum, from traditional research to applied integration into clinical systems. We study and share best practices in implementation research by bringing together experts in clinical informatics research, operations, and human factors.

Usability, User-Centered Design & Evaluation

The application of modern design principles and evaluation techniques are a necessity for both clinically-facing novel software and vendor-supplied products.

Situational Awareness

Today's clinician's are inundated with data. Situational Awareness (SA) is the ability to sort through all of those inputs to glean the most appropriate and salient information for the situation and context. We create and study tools that promote SA.

Clinical Informatics Education

When possible, we engage students of all types in our activities, including formal rotations with our staff and participation/leadership opportunities on projects and programs.

Decision Support Analytics WorkgroupResearch Interests