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. 2023 Mar 13;11(6):847.
doi: 10.3390/healthcare11060847.

Development and Testing of the Smart Healthcare Prototype System through COVID-19 Patient Innovation

Po-Chih Chiu  1 , Kuo-Wei Su  2 , Chao-Hung Wang  2 , Cong-Wen Ruan  2 , Zong-Peng Shiao  2 , Chien-Han Tsao  3 , Hsin-Hsin Huang  3
Affiliations

Development and Testing of the Smart Healthcare Prototype System through COVID-19 Patient Innovation

Po-Chih Chiu et al. Healthcare (Basel). .

Abstract

Since the outbreak of the novel coronavirus disease 2019 (COVID-19), the epidemic has gradually slowed down in various countries and people's lives have gradually returned to normal. To monitor the spread of the epidemic, studies discussing the design of related healthcare information systems have been increasing recently. However, these studies might not consider the aspect of user-centric design when developing healthcare information systems. This study examined these innovative technology applications and rapidly built prototype systems for smart healthcare through a systematic literature review and a study of patient innovation. The design guidelines for the Smart Healthcare System (SHS) were then compiled through an expert review process. This will provide a reference for future research and similar healthcare information system development.

Keywords: COVID-19; patient innovation; prototype; smart healthcare system; usability.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Research Flow chart.
Figure 2
Figure 2
The PRISMA flow diagram.
Figure 3
Figure 3
Photos of the COVID-19 workshop process. (a) Insights into the need for treatment or quarantine in the context of COVID-19, based on the participants’ personal experiences. (b) A scenario for the SHS application shared by the participants.
Figure 4
Figure 4
SHS sleep detection function. Users can upload the physiological information (e.g., heart rate, blood oxygen) obtained through the wearable device to the cloud database during sleep.
Figure 5
Figure 5
SHS life track recording function. (a) To avoid blind spots, multiple cameras were used for spatial information linkage. (b) The key point technology captures the coordinates of key points of the human body from the cameras. Then, the image information from different cameras can be linked together.
Figure 6
Figure 6
A user interacts with the talking robot. Through simple and fun interactions with the robots, users are encouraged to use these innovative technologies.
Figure 7
Figure 7
A participant wears an eye-tracking device and completes an operational task.
Figure 8
Figure 8
This study summarizes the design guidelines through the KJ method.
See this image and copyright information in PMC

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