Dr. Zhang’s current focus is on strategic thinking about transforming healthcare and biomedical discovery through informatics, health data science, and artificial intelligence. As the director of National Center for Cognitive Informatics and Decision Making in Healthcare (NCCD), he led the ONC SHAPRC Project on enhancing patient-centered cognitive support in EHR and Health IT. The Center for Digital Health and Analytics is an evolution of NCCD.
Mobile Health and Connected Technologies
Social Network and Behavioral Analysis
Clinical Decision Analysis and Visualization Dashboards
Workflow and Usability Analytics
A book published by the National Center for Cognitive Informatics & Decision Making in Healthcare.
One of the biggest complaints we hear from healthcare providers is that the EHR is clunky, difficult to use, and sometimes gets in the way of taking care of patients. SHARPC was funded to help conduct short term and long term research to address the usability, workflow, and cognitive support issues of EHR.
This book documents some of the results of the SHARPC project: frameworks for EHR usability, methods for evaluating and designing EHR usability, and tools for clinical decision support.
A data-driven consumer engagement framework to facilitate development of connected health solutions that are targeted, modular, extensible, and engaging.
TURF is a framework for usability, grounded in solid theory. The ideas behind TURF were developed from decades of research in cognitive science. TURF can point the way to the best representation for the task, the user and the function – the essence of usability.
EHR design guidelines that follow established human interface design principles that are based on the way users (doctors, nurses, patients etc.) think and work.
For more information, contact us at DigitalHealthAnalytics@uth.tmc.edu.