This study aims to present the development of a mobile application to enhance post-stroke
management and care. Therefore, the development of Stroke Digicare serves as a valuable resource
for post-stroke patients, caregivers, and healthcare providers, in contributing to the improvement
of stroke outcomes and enhancing overall quality of post-stroke care. Stroke disease is the leading
cause of disability worldwide, having high chances of reoccurrence and a long-term continuous
management. The maintenance of care and therapy plays a crucial role in the recovery process for
post-stroke patients. However, the current systems often lack personalized support, accessibility,
high cost and integration of essential post-stoke management components. This research
addresses these limitations by proposing a mobile application called Stroke Digicare, combining
medication & clinical scheduling, rehabilitation modules, patient monitoring through video calls and
current condition input, also medical record list. The research and analysis began with a
comprehensive review of literatures and existing mobile applications on post-stroke managements,
highlighting the gaps and opportunities for improvement. Based on the analysis, a systematic design
process, prototype development, user testing, and user satisfaction review were carried out. The
mobile application incorporates evidence-based stroke management guidelines, such as the Global
Stroke Guideline to determine the rehabilitation parameters and features for efficient monitoring
to facilitate remote care for patients and caregivers. Evaluation of the Stroke Digicare application
was conducted through a usability testing method that comprises of two phases, with 30
homogenous participants in the first phase and 50 in the second phase. Results demonstrates the
potential of mobile application in enhancing post-stroke management and care, having average
usability score of 81,428 and 82,375. Furthermore, the user satisfaction is assessed though a
SERVQUAL method which yielded positive feedback towards the importance of available features.