RemoteHealthConnect: Innovating patient monitoring with wearable technology and custom visualization
Objective This paper introduces RemoteHealthConnect , a novel web-based healthcare system designed to enable healthcare professionals to monitor patients remotely with enhanced efficacy. Central to our system is its integration with the Vitaliti™ wearable, equipped with biosensors for real-time vita...
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2024-12-01
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| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076241300748 |
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| _version_ | 1846128990858772480 |
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| author | Sasipriya Arun Edward R. Sykes Syed Tanbeer |
| author_facet | Sasipriya Arun Edward R. Sykes Syed Tanbeer |
| author_sort | Sasipriya Arun |
| collection | DOAJ |
| description | Objective This paper introduces RemoteHealthConnect , a novel web-based healthcare system designed to enable healthcare professionals to monitor patients remotely with enhanced efficacy. Central to our system is its integration with the Vitaliti™ wearable, equipped with biosensors for real-time vital signs monitoring. RemoteHealthConnect distinguishes itself by offering advanced, custom visualizations for interactive engagement with medical data, facilitating rapid clinical decision-making through intuitive access to vital signs and trends. The primary research question we sought to answer was: ‘Which design of vital sign visualizations is most effective in improving intuitive and rapid understanding for healthcare practitioners?’ Methods An iterative agile/SCRUM methodology was employed in the design and development of RemoteHealthConnect . We describe the architectural design of our web-based application, data visualization techniques, and user interface design. A user interface/user experience (UI/UX) study was conducted to assess the efficacy of our system. Results The usability study revealed the system's capacity to translate complex bedside data into accessible, real-world visualizations, promoting efficient pattern recognition and anomaly detection. This is crucial for enhancing clinician performance, regardless of the patient's location. The paper further details a usability study involving healthcare practitioners to ascertain RemoteHealthConnect's efficacy. The System Usability Scale (SUS) assessment yielded a score of 71.5, indicating high usability. This score is significant, positioning our system above the average usability threshold for healthcare technologies, and suggesting it as a valuable tool for remote patient monitoring. Conclusion Our web-based healthcare system and findings from the usability study contribute to the domains of Mobile Health (mHealth) and e-Health by advancing remote monitoring capabilities and offering a promising avenue for healthcare IT to improve patient care and clinician workflow. |
| format | Article |
| id | doaj-art-c2d84b3c22d344b3950648b1df50d583 |
| institution | Kabale University |
| issn | 2055-2076 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Digital Health |
| spelling | doaj-art-c2d84b3c22d344b3950648b1df50d5832024-12-10T12:03:54ZengSAGE PublishingDigital Health2055-20762024-12-011010.1177/20552076241300748RemoteHealthConnect: Innovating patient monitoring with wearable technology and custom visualizationSasipriya Arun0Edward R. Sykes1Syed Tanbeer2 Centre for Applied AI, , Oakville, ON, Canada AI Lab, School of Computer Science, , Guelph, ON, Canada Faculty of Applied Science and Technology, , Oakville, ON, CanadaObjective This paper introduces RemoteHealthConnect , a novel web-based healthcare system designed to enable healthcare professionals to monitor patients remotely with enhanced efficacy. Central to our system is its integration with the Vitaliti™ wearable, equipped with biosensors for real-time vital signs monitoring. RemoteHealthConnect distinguishes itself by offering advanced, custom visualizations for interactive engagement with medical data, facilitating rapid clinical decision-making through intuitive access to vital signs and trends. The primary research question we sought to answer was: ‘Which design of vital sign visualizations is most effective in improving intuitive and rapid understanding for healthcare practitioners?’ Methods An iterative agile/SCRUM methodology was employed in the design and development of RemoteHealthConnect . We describe the architectural design of our web-based application, data visualization techniques, and user interface design. A user interface/user experience (UI/UX) study was conducted to assess the efficacy of our system. Results The usability study revealed the system's capacity to translate complex bedside data into accessible, real-world visualizations, promoting efficient pattern recognition and anomaly detection. This is crucial for enhancing clinician performance, regardless of the patient's location. The paper further details a usability study involving healthcare practitioners to ascertain RemoteHealthConnect's efficacy. The System Usability Scale (SUS) assessment yielded a score of 71.5, indicating high usability. This score is significant, positioning our system above the average usability threshold for healthcare technologies, and suggesting it as a valuable tool for remote patient monitoring. Conclusion Our web-based healthcare system and findings from the usability study contribute to the domains of Mobile Health (mHealth) and e-Health by advancing remote monitoring capabilities and offering a promising avenue for healthcare IT to improve patient care and clinician workflow.https://doi.org/10.1177/20552076241300748 |
| spellingShingle | Sasipriya Arun Edward R. Sykes Syed Tanbeer RemoteHealthConnect: Innovating patient monitoring with wearable technology and custom visualization Digital Health |
| title | RemoteHealthConnect: Innovating patient monitoring with wearable technology and custom visualization |
| title_full | RemoteHealthConnect: Innovating patient monitoring with wearable technology and custom visualization |
| title_fullStr | RemoteHealthConnect: Innovating patient monitoring with wearable technology and custom visualization |
| title_full_unstemmed | RemoteHealthConnect: Innovating patient monitoring with wearable technology and custom visualization |
| title_short | RemoteHealthConnect: Innovating patient monitoring with wearable technology and custom visualization |
| title_sort | remotehealthconnect innovating patient monitoring with wearable technology and custom visualization |
| url | https://doi.org/10.1177/20552076241300748 |
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