Advancing Design Approaches through Data-Driven Techniques

Advancing Design Approaches through Data-Driven Techniques: Patient Community Journey Mapping Using Online Stories and Machine Learning

Jung, Jiwon (TU Delft Methodologie en Organisatie van Design; Erasmus MC)
Kim, K. (TU Delft Methodologie en Organisatie van Design; Pusan National University)
Peters, T. (TU Delft Methodologie en Organisatie van Design)
Snelders, H.M.J.J. (TU Delft Methodologie en Organisatie van Design)
Kleinsmann, M.S. (TU Delft Design, Organisation and Strategy; Leiden University Medical Center)

Design, Organisation and Strategy

2023

Designers are increasingly collaborating with data scientists to apply smart data technologies to understand large-scale user behavior during their design research. This is useful in specific impact domains with vulnerable users and unfamiliar contexts, such as healthcare design. Patient journey mapping is the most common design tool for developing and communicating patient-centred perspectives in healthcare design. However, creating a traditional patient journey map is labor intensive. Consequently, they often represent the experiences of a limited number of patients and, therefore, have limitations in including an extensive group patient experience. To overcome these challenges, we present a new data-driven and hybrid intelligent design approach that utilizes tens of thousands of online patient stories and machine-learning techniques through collaboration with data scientists. We set up two studies in the field of oncology and demonstrate that combining the two machine-learning techniques allows for quantifying the experiences of a wide range of patients, detecting relationships between co-occurring experiences within the journey, and detecting new design opportunities/directions. In these studies, designers gained a large-scale, yet qualitative and inspiring, understanding of a complex context in healthcare with reduced time and cost investments

Patient Journey Mapping
Machine Learning
Hybrid Intelligence
Patient Stories
Healthcare Design

http://resolver.tudelft.nl/uuid:79127ecc-da43-48ad-b25e-3f5f7c4ded60

https://doi.org/10.57698/v17i2.02

1991-3761

International Journal of Design, 17 (2)

Institutional Repository

journal article

© 2023 Jiwon Jung, K. Kim, T. Peters, H.M.J.J. Snelders, M.S. Kleinsmann