A Case Study of Data-Enabled Design for Cardiac Telemonitoring

Data-enabled design (DED) is a novel design methodology that is gaining momentum given the growing availability and maturity of IoT technologies. Experiences with this method are limited, for which it is interesting to study how different design teams apply and appropriate the method in different contexts. Our case concerns the design of a smartwatch app and an online dashboard to facilitate self-monitoring in cardiac health to prevent heart failure. We report on the design and evaluation of contextual experiences with the overall system, offering an accessible foundation for future iterative improvements. Our case demonstrates how the DED method can facilitate the participation of stakeholders and especially end-users, in co-designing within a heavily regulated and technologically rich context.

[1]  Raoul C. Y. Nuijten,et al.  8-year Evaluation of GameBus: Status quo in Aiming for an Open Access Platform to Prototype and Test Digital Health Apps , 2023, Proc. ACM Hum. Comput. Interact..

[2]  W. Kop,et al.  Adherence to a lifestyle monitoring system in patients with heart disease: protocol for the care-on prospective observational trial , 2023, BMC Cardiovascular Disorders.

[3]  Berry Eggen,et al.  Breaking up data-enabled design: expanding and scaling up for the clinical context , 2022, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[4]  Raoul C. Y. Nuijten,et al.  Assessing the Influence of Physical Activity Upon the Experience Sampling Response Rate on Wrist-Worn Devices , 2021, International journal of environmental research and public health.

[5]  Sander Bogers,et al.  Data-enabled design : a situated design approach that uses data as creative material when designing for intelligent ecosystems , 2019 .

[6]  R. Moss,et al.  eHealth and mHealth , 2018, European journal of hospital pharmacy. Science and practice.

[7]  Caroline Hummels,et al.  A Situated Exploration of Designing for Personal Health Ecosystems through Data-enabled Design , 2018, Conference on Designing Interactive Systems.

[8]  Caroline Hummels,et al.  Exploring the Value of Parent Tracked Baby Data in Interactions with Healthcare Professionals: A Data-Enabled Design Exploration , 2018, CHI.

[9]  Albrecht Schmidt,et al.  Understanding and researching through making , 2017, Interactions.

[10]  Caroline Hummels,et al.  Data-Enabled Design for Social Change: Two Case Studies , 2016, Future Internet.

[11]  Caroline Hummels,et al.  Connected Baby Bottle: A Design Case Study Towards a Framework for Data-Enabled Design , 2016, Conference on Designing Interactive Systems.

[12]  P. Dreyer,et al.  Dealing with existential anxiety in exercise-based cardiac rehabilitation: a phenomenological-hermeneutic study of patients' lived experiences. , 2015, Journal of clinical nursing.

[13]  Yul Ha Min,et al.  Daily Collection of Self-Reporting Sleep Disturbance Data via a Smartphone App in Breast Cancer Patients Receiving Chemotherapy: A Feasibility Study , 2014, Journal of medical Internet research.

[14]  M. Csíkszentmihályi,et al.  The Experience Sampling Method , 2014 .

[15]  E. Halcomb,et al.  Telemonitoring can assist in managing cardiovascular disease in primary care: a systematic review of systematic reviews , 2014, BMC Family Practice.

[16]  C. Holly Structured telephone support or telemonitoring programmes for patients with chronic heart failure , 2011 .

[17]  B. Marić,et al.  A systematic review of telemonitoring technologies in heart failure , 2009, European Journal of Heart Failure.

[18]  Scott R. Klemmer,et al.  Exiting the Cleanroom: On Ecological Validity and Ubiquitous Computing , 2008, Hum. Comput. Interact..

[19]  Bill Buxton,et al.  Sketching User Experiences: Getting the Design Right and the Right Design , 2007 .

[20]  H. Krumholz,et al.  Telemonitoring for patients with chronic heart failure: a systematic review. , 2007, Journal of cardiac failure.

[21]  Lennart Molin,et al.  Wizard-of-Oz prototyping for co-operative interaction design of graphical user interfaces , 2004, NordiCHI '04.

[22]  J. Weinman,et al.  Patients' beliefs about prescribed medicines and their role in adherence to treatment in chronic physical illness. , 1999, Journal of psychosomatic research.

[23]  E. Kalb HEART TO HEART: A GUIDE TO THE PSYCHOLOGICAL ASPECTS OF HEART DISEASE , 1994 .

[24]  P. Markopoulos,et al.  Experiencer: An Open-Source Context-Sensitive Wearable Experience Sampling Tool , 2022, PervasiveHealth.

[25]  G. Fonarow,et al.  The Prevention of Hospital Readmissions in Heart Failure. , 2016, Progress in cardiovascular diseases.

[26]  J. Sorrell,et al.  Understanding physical activity and exercise behaviors in patients with heart failure. , 2015, Heart & lung : the journal of critical care.

[27]  Dong-Won Kim SAMSUNG Electronics , 2008 .