Involving patients as key stakeholders in the design of cardiovascular implantable electronic device data dashboards: Implications for patient care

Carly Daley, Mirro Center for Research and Innovation
Romisa Rohani Ghahari, Parkview Health
Michelle Drouin PhD, Parkview Health
Ryan Ahmed, Parkview Health
Shauna Wagner, Parkview Health
Lauren Reining, Parkview Health
Amanda Coupe, Parkview Health
Tammy Toscos PhD, Mirro Center for Research and Innovation
Michael Mirro MD, Parkview Health


Background Data from remote monitoring (RM) of cardiovascular implantable electronic devices (CIEDs) currently are not accessible to patients despite demand. The typical RM report contains multiple pages of data for trained technicians to read and interpret and requires a patient-centered approach to be curated to meet individual user needs.

Objective The purpose of this study was to understand which RM data elements are important to patients and to gain design insights for displaying meaningful data in a digital dashboard.

Methods Adults with implantable cardioverter–defibrillators (ICDs) and pacemakers (PMs) participated in this 2-phase, user-centered design study. Phase 1 included a card-sorting activity to prioritize device data elements. Phase 2 included one-on-one design sessions to gather insights and feedback about a visual display (labels and icons).

Results Twenty-nine adults (mean age 71.8 ± 11.6 years; 51.7% female; 89.7% white) participated. Priority data elements for both ICD and PM groups in phase 1 (n = 19) were related to cardiac episodes, device activity, and impedance values. Recommended replacement time for battery was high priority for the PM group but not the ICD group. Phase 2 (n = 10) revealed that patients would like descriptive, nontechnical terms to depict the data and icons that are intuitive and informative.

Conclusion This user-centered design study demonstrated that patients with ICDs and PMs were able to prioritize specific data from a comprehensive list of data elements that they had never seen before. This work contributes to the goal of sharing RM data with patients in a way that optimizes the RM feature of CIEDs for improving patient outcomes and clinical care.