Visualization of Cardiac Implantable Electronic Device Data for Older Adults Using Participatory Design

Ryan Ahmed; Tammy Toscos; Romisa Rohani Ghahari; Richard J. Holden; Elizabeth Martin; Shauna Wagner; Carly Daley; Amanda Coupe; Michael Mirro

doi:10.1055/s-0039-1695794

Applied Clinical Informatics, Inhaltsverzeichnis

Appl Clin Inform 2019; 10(04): 707-718
DOI: 10.1055/s-0039-1695794

Special Topic: Visual Analytics in Healthcare

Georg Thieme Verlag KG Stuttgart · New York

Visualization of Cardiac Implantable Electronic Device Data for Older Adults Using Participatory Design

Ryan Ahmed

¹Parkview Mirro Center for Research and Innovation, Parkview Health, Fort Wayne, Indiana, United States

,

Tammy Toscos

¹Parkview Mirro Center for Research and Innovation, Parkview Health, Fort Wayne, Indiana, United States

²Department of BioHealth Informatics, IUPUI School of Informatics and Computing, Indianapolis, Indiana, United States

,

Romisa Rohani Ghahari

¹Parkview Mirro Center for Research and Innovation, Parkview Health, Fort Wayne, Indiana, United States

,

Richard J. Holden

³Indiana University School of Medicine, Indianapolis, Indiana, United States

⁴Regenstrief Institute, Inc., Indianapolis, Indiana, United States

,

Elizabeth Martin

¹Parkview Mirro Center for Research and Innovation, Parkview Health, Fort Wayne, Indiana, United States

,

Shauna Wagner

¹Parkview Mirro Center for Research and Innovation, Parkview Health, Fort Wayne, Indiana, United States

,

Carly Daley

¹Parkview Mirro Center for Research and Innovation, Parkview Health, Fort Wayne, Indiana, United States

²Department of BioHealth Informatics, IUPUI School of Informatics and Computing, Indianapolis, Indiana, United States

,

Amanda Coupe

¹Parkview Mirro Center for Research and Innovation, Parkview Health, Fort Wayne, Indiana, United States

,

Michael Mirro

¹Parkview Mirro Center for Research and Innovation, Parkview Health, Fort Wayne, Indiana, United States

²Department of BioHealth Informatics, IUPUI School of Informatics and Computing, Indianapolis, Indiana, United States

³Indiana University School of Medicine, Indianapolis, Indiana, United States

› Institutsangaben

Abstract

Patients with heart failure (HF) are commonly implanted with cardiac resynchronization therapy (CRT) devices as part of their treatment. Presently, they cannot directly access the remote monitoring (RM) data generated from these devices, representing a missed opportunity for increased knowledge and engagement in care. However, electronic health data sharing can create information overload issues for both clinicians and patients, and some older patients may not be comfortable using the technology (i.e., computers and smartphones) necessary to access this data. To mitigate these problems, patients can be directly involved in the creation of data visualization tailored to their preferences and needs, allowing them to successfully interpret and act upon their health data. We held a participatory design (PD) session with seven adult patients with HF and CRT device implants, who were presently undergoing RM, along with two informal caregivers. Working in three teams, participants used drawing supplies and design cards to design a prototype for a patient-facing dashboard with which they could engage with their device data. Information that patients rated as a high priority for the “Main Dashboard” screen included average percent pacing with alerts for abnormal pacing, other device information such as battery life and recorded events, and information about who to contact with for data-related questions. Preferences for inclusion in an “Additional Information” display included a daily pacing chart, health tips, aborted shocks, a symptom list, and a journal. These results informed the creation of an actual dashboard prototype which was later evaluated by both patients and clinicians. Additionally, important insights were gleaned regarding the involvement of older patients in PD for health technology.

Keywords

heart failure - cardiac resynchronization therapy devices - consumer health informatics - health services for the aged - data visualization - human–computer interaction

Volltext

Referenzen

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