Optimizing a data dashboard for Calgary Emergency Departments
Health administrative data dashboards have the potential to provide clinicians with timely information that can positively affect their practice.
All Calgary zone emergency departments
Emergency Medicine SCN
Dr. Eddy Lang, Academic Department Head and an Associate Professor in the Department of Emergency Medicine at the Cumming School of Medicine, University of Calgary, and the Clinical Department Head for Emergency Medicine, Calgary Zone, Alberta Health Services
Dr. Lara Cooke, Associate Dean Continuing Medical Education and Professional Development, University of Calgary
Dr. Shawn Dowling, Medical Director - Speciality Medicine, Physician Learning Program, University of Calgary
Research Associate - Laura Rivera
The Department of Emergency Medicine, Calgary Zone has developed and implemented numerous data dashboards with a breadth of administrative and clinical metrics. PLP has been working to help determine emergency physicians’ perceptions of the dashboard, and promote its use.
Innovation and Evaluation Methods
We will use an email push-strategy to disseminate detailed and executive summary data reports to all emergency physicians. The report will include a subset of metrics included in the dashboard:
Visits seen per hour
72 hour re-admission
Median PIA to consult time
Median PIA to discharge time
% of visits consulted for admission actually admitted
% of visits with CT
Sepsis median PIA to antibiotic time
% of visits with IV therapy
Median reassess to acknowledgement time
The evaluation will use mixed-methods. First, we will disseminate a survey with the e-mail reports to determine:
Which metrics are perceived to be interesting, clinically relevant, and valid
User ability to navigate the report
Any actions anticipated to occur as a result of seeing the data
The likelihood of visiting the dashboard having received the e-mail report
We will then conduct a focus group at the ED physician retreat to probe the themes to emerge from the survey.
The ultimate goal of this work is to use the feedback gathered to optimize the next iteration of the dashboard in order to more optimally support physician learning and facilitate appropriateness of clinical practice.