Genomix: Interface for Integrating Genomic Test Results into the Clinical Workflow
Time Period: Fall 2019 – Present
Dashboard widgets show high-level information first and allow user to click for more content at their discretion.
As genomic testing becomes increasingly common in healthcare, clinicians need access to this information for their patients in a way that prioritizes actionable results, enables access to connected data and reports, and integrates existing clinical tools that support decision making.
While the majority of patients today, do not have genetic test results, this is changing. Genetic testing is becoming more affordable and more critical to comprehensive patient care.
As genetic test results are added to patient records, they are often located in different places within the EHR and it can be difficult to gain a comprehensive understanding of the patient’s genetic profile. [also anything to say about the way actionable information is buried in long narratives?] Moreover, clinicians of differing specialties have different needs and preferences when reviewing genetic labs information.
VA and Mayo Clinic are collaborating on technology that supports clinicians by providing a single platform/interface to view all of a patient’s genetic test results. This platform is designed to emphasize the most important information, connect the dots among discrete results to facilitate comprehension, improve efficiencies, and enable customizable workflows for different user profiles.
VA is designing and coding the frontend for this software in collaboration with Mayo IT professionals. Together we are imagining interfaces that address problems of information overload, user preferences, differing workflows and pain points that we are learning from our users. This software is already integrated into clinical practice via Mayo’s EHR system and continues to grow as we respond to users’ needs
Dashboard widget displaying genomic indicators for PGx genes
Matt Berry, Lead Developer
Lisa Gatzke, Lead UIX Designer
Chad Olson, Frontend Developer
Dipannita Dey, Developer
Jessica Saw, Research Scientist / Domain Expert
Robert R. Freimuth, Ph.D, Mayo Clinic, Project PI [lab]
Sahana Murthy, Project Manager, Mayo Clinic
Jamie Bruflat, Business Analyst, Mayo Clinic
Scott Hogan, Business Analyst, Mayo Clinic
The VA group has been fortunate to collaborate with Mayo Clinic on many projects that span both research and clinical practice. Our collaborations often involve designers, research scientists and developers on the NCSA side to enable rapid engagement and understanding of the problems that the software seeks to solve and solutions that stem from a multi-disciplinary perspective.
Center for Individualized Medicine, Mayo Clinic