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A monitoring sensor-based eHealth image system for pressure ulcer prevention

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Abstract

Health information systems use technologies in health care to improve the overall effectiveness of patient care and become important part in health care services. Among other diseases, pressure ulcers, a skin disease arise from prolonged exposure to high pressure points, is required to check patient’s body state and an electronic monitoring system enables to support constant body check with sharing accurate data with professionals. Although technological perspectives have advanced for better prevention of pressure ulcer, only few studies have reported experimental results and clinical responses on the preventive methods in terms of its effectiveness and comfort, and most preventive systems for pressure ulcer risk do not fulfill basic requirements such as sufficient reliability, unobtrusiveness, long-term usage and easy monitoring at various types of equipment. The purpose of this study is to examine a monitoring sensor-based eHealth image system to support pressure ulcer treatment and identify the effectiveness of the system presenting the system architecture. The result of this study would provide support and insight of using the eHealth monitoring system to professionals who need to manage and care of patients.

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Acknowledgements

This research was based on the monitoring sensor-based eHealth image system for pressure ulcer prevention developed by Let’s Combine Corporation. Authors are grateful to the company and specially thank to Chi Ha Kim, CEO of Let’s Combine Corporation for all the support and advice to carry out this work.

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Authors and Affiliations

  1. Department of Technology Entrepreneurship, Dongguk University, Seoul, South Korea

    Chang Soo Sung

  2. Yonsei Business Institute, Yonsei University, Seoul, South Korea

    Joo Y. Park

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  1. Chang Soo Sung
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  2. Joo Y. Park
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Correspondence to Joo Y. Park.

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Sung, C.S., Park, J.Y. A monitoring sensor-based eHealth image system for pressure ulcer prevention. Multimed Tools Appl 78, 5255–5267 (2019). https://doi.org/10.1007/s11042-017-4992-3

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  • DOI: https://doi.org/10.1007/s11042-017-4992-3

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