SHARPC Best Practices in Evaluating and Improving EHR Usability

March 27, 2014
Member - Free, Non-member: $50
Amy Franklin, PhD - Assistant Professor, UTHSC-H School of Biomedical Informatics

The National Center for Cognitive Informatics and Decision Making in Healthcare's SHARPC project seeks to improve the usefulness and usability of EHRs in order to increase efficiency, safety, and improve provider satisfaction. In this webinar, members of the SHARPC research team will demonstrate the latest tools, methods, and guidelines that have been developed specially to help assess and improve EHR usability:

  1. Turf EHR Usability Assessment Toolkit:  A software tool designed to evaluate, document, and improve EHR usability. Turf supports user testing and heuristic evaluation. Turf users can seamlessly collect audio, screen video, participant video and keystroke events. In addition, users can generate standard usability reports and conduct descriptive and inferential statistical analysis.
  2. User Testing Scenarios and Methods:  The 2014 EHR Safety Enhanced Design requirements for testing and reporting of system usability generate a growing need for validated, contextually-rich, shared scenarios for testing. We will describe how we developed the initial set of testing protocols and demonstrate how these protocols can be used to robustly measure the usability of systems and provide a means of identifying safety risks in existing systems.
  3. Safety Enhanced Design Guidelines:  The NCCD has produced a complementary set of three types of guideline documents to help EHR designers and implementers improve the usability, safety, and efficiency of EHRs in the context of meaningful use. The guidelines consist of one page Safety Enhanced Design Briefs, a web site containing additional background material on each brief along with more detailed EHR-related user-centered design examples, and an interactive iBook available for iPads and as a web book.

You should register for this webinar if you are an EHR developer or are involved in evaluating, implementing or customizing EHRs for your institution and would like to learn about practical tools and guidelines to help in your work. 

Learning Objectives

During this webinar, you will learn:

  • How to use the Turf software tool to conduct usability assessments and practice user-centered design. 
  • Understand the importance of using robust user testing scenarios
  • Apply best practice guidelines to improve the usability of EHRs

Speakers Information

Amy Franklin, PhD
Dr. Franklin is an assistant professor in the National Center for Cognitive Informatics and Decision Making in Healthcare at the University of Texas Health Science Center Houston, School of Biomedical Informatics.  As part of the ONC Sharp C project at UTHealth, she conducts research related to EHR usability and collaborates on the development of tools designed to provide cognitive support related to EHR use.  Additionally, she engages in research related to patient safety, decision making in critical care, communication, negotiation of mental models, and embodied cognition. Dr. Franklin teaches courses in cognitive engineering, computer supported collaborative work, research methods, and information and knowledge representation. She is a member of American Medical Informatics Association, Health Information Management Systems Society, American Psychological Association, and the International Cognitive Linguistics Association.

Muhammad F. Walji, PhD
Dr. Walji is an associate professor in the Department of Diagnostic and Biomedical Sciences at the University of Texas School of Dentistry at Houston. He serves as the Associate Director and a Project Leader at the National Center for Cognitive Informatics and Decision Making in Healthcare (NCCD) funded by the ONC SHARP program focused on improving EHR usability. He also serves as Principal Investigator of an NLM funded grant to develop an Inter-university Oral Health Data Repository from EHR data that will allow end users to directly explore and extract information to support their specific research or decision making needs. In addition, he serves as Principal Investigator on a NIDCR funded project seeking to apply a cognitive approach to refine and enhance use of a Dental Diagnostic Terminology and user interface in EHRs. He has also conducted extensive work in consumer-health informatics and E-health. He is a member of the American Medical Informatics Association, Health Information Management Systems Society, American Dental Education Association, and the Consortium of Oral Health Related Informatics. 

Todd R. Johnson, PhD
Todd R. Johnson, PhD, is a professor of biomedical informatics at UTHealth School of Biomedical Informatics (SBMI). Johnson's efforts at SBMI are focused on the application of informatics in clinical settings, including improving EHR usability, efficiency, and safety; quality and safety dashboards; visual analytics; clinical research informatics, and visualizing big clinical data. His research uses cognitive science, computer science and human factors engineering to solve biomedical informatics problems.  

Optional Information: This project was supported by Grant No. 10510592 for Patient-Centered Cognitive Support under the Strategic Health IT Advanced Research Projects (SHARP) from the Office of the National Coordinator for Health Information Technology.