User-centered design of an integrated sensor data interface for remote care coordination

Innovative approaches to the management and support of healthy behaviors through the connection of health professionals to client sensor data requires the development of new tools for combining and viewing data. Though Internet-of-Things technologies have become ubiquitous, and opportunities abound for their use by health professionals to understand client or patient behaviors, few systems exist for this purpose. The web-based site management interface and care coordination data dashboard created in this research project bridge the usability gap between health professionals and their ability to use client sensor data for remote health coaching and care coordination. Instrumental in this work was the inclusion of health professionals in care coordinator roles that provide remote health coaching for client self-management of their care. We took a user-centered design approach with care coordinators as co-designers that began with the discovery of information needs, workflow, and design requirements through contextual inquiries and focus groups to define interface design requirements. An iterative prototyping process incorporated usability and design principles to build and improve interface and data display designs. This process included care coordinators as the target users and co-designers in decision-making and finalizing a consensus low-fidelity prototype comprised of still images. The next step required engaging a developer to create a high-fidelity prototype that included interactive features for usability testing. Care coordinators began using the high-fidelity prototype to perform their daily work with existing and new clients, reviewing and exploring client sensor data. Usability testing included: heuristic evaluation, administration of the system usability scale, cognitive walkthroughs, think-alouds, and interviews with design researchers, care coordinators, and other health professionals as usability testers to identify actionable items for interface improvement. Despite needed improvements, the interface is usable and has reduced care coordinator documentation and frustration in understanding client sensor data. The resulting interface opens the door for potential augmented cognitive enhancements and further additions of sensor data for more insightful clinical guidance and understanding of human behavior.

Name thesis:degree_name

Ph. D.

Level thesis:degree_level

Doctoral

Discipline thesis:degree_discipline

Informatics (MU)

Grantor dc:publisher

University of Missouri--Columbia

Year dc:date.issued

2024

Author dc:creator

• Boles, Katrina Kouba

Advisor dc:contributor.advisor

• Reeder, Blaine

Language dc:language.iso

eng, English

DOI

https://doi.org/10.32469/10355/108921

OAI identifier oai:identifier

oai:mospace.umsystem.edu:10355/108921