Usability of a Cloud-Based Home Healthcare Client Monitoring Platform: A Simulation-Based Approach

The aim of this study was to assess the usability of a cloud-based home healthcare monitoring platform (CHHM).

A proof of concept using a simulated client scenario was used in this study.

Using a mixed-methods approach, a convenience sample of 14 nursing students was used to assess the usability of CHHM during a simulation. Students engaged in evaluation using two questionnaires: the Post-Study System Usability Questionnaire (Usability Questionnaire) and a researcher-developed questionnaire incorporating qualitative responses.

The overall mean score of the Usability Questionnaire was 2.91, with the range of 7, indicating the usability of the platform. The Usability Questionnaire was negatively scored, with 1 being the best. The means of the two subscales, System Usefulness (2.77) and Information Quality (3.26), illustrated the platform's solid performance. The Interface Quality subscale mean was 2.94, indicating a lower level of satisfaction. Qualitative data from the researcher-developed questionnaire indicated that participants found the platform straightforward, clear, and user-friendly, with the potential to enhance practice.

This platform may enhance rehabilitation nurses' ability to monitor clients at home.

The CHHM can support and enhance the delivery of home health care by enabling continuous remote monitoring. By incorporating user-centered design principles, cloud-native architecture, and wearable sensors, we demonstrated a proof of concept and laid the foundation for further platform development.