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Medical Device Integration Model Based on the Internet of Things

At present, hospitals in our country have basically established the HIS system, which manages registration, treatment, and charge, among many others, of patients. During treatment, patients need to use medical devices repeatedly to acquire all sorts of inspection data. Currently, the output data of...

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Detalles Bibliográficos
Autores principales: Hao, Aiyu, Wang, Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Open 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4645837/
https://www.ncbi.nlm.nih.gov/pubmed/26628938
http://dx.doi.org/10.2174/1874120701509010256
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author Hao, Aiyu
Wang, Ling
author_facet Hao, Aiyu
Wang, Ling
author_sort Hao, Aiyu
collection PubMed
description At present, hospitals in our country have basically established the HIS system, which manages registration, treatment, and charge, among many others, of patients. During treatment, patients need to use medical devices repeatedly to acquire all sorts of inspection data. Currently, the output data of the medical devices are often manually input into information system, which is easy to get wrong or easy to cause mismatches between inspection reports and patients. For some small hospitals of which information construction is still relatively weak, the information generated by the devices is still presented in the form of paper reports. When doctors or patients want to have access to the data at a given time again, they can only look at the paper files. Data integration between medical devices has long been a difficult problem for the medical information system, because the data from medical devices are lack of mandatory unified global standards and have outstanding heterogeneity of devices. In order to protect their own interests, manufacturers use special protocols, etc., thus causing medical decices to still be the "lonely island" of hospital information system. Besides, unfocused application of the data will lead to failure to achieve a reasonable distribution of medical resources. With the deepening of IT construction in hospitals, medical information systems will be bound to develop towards mobile applications, intelligent analysis, and interconnection and interworking, on the premise that there is an effective medical device integration (MDI) technology. To this end, this paper presents a MDI model based on the Internet of Things (IoT). Through abstract classification, this model is able to extract the common characteristics of the devices, resolve the heterogeneous differences between them, and employ a unified protocol to integrate data between devices. And by the IoT technology, it realizes interconnection network of devices and conducts associate matching between the data and the inspected at the device terminal in a timely manner.
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spelling pubmed-46458372015-12-01 Medical Device Integration Model Based on the Internet of Things Hao, Aiyu Wang, Ling Open Biomed Eng J Article At present, hospitals in our country have basically established the HIS system, which manages registration, treatment, and charge, among many others, of patients. During treatment, patients need to use medical devices repeatedly to acquire all sorts of inspection data. Currently, the output data of the medical devices are often manually input into information system, which is easy to get wrong or easy to cause mismatches between inspection reports and patients. For some small hospitals of which information construction is still relatively weak, the information generated by the devices is still presented in the form of paper reports. When doctors or patients want to have access to the data at a given time again, they can only look at the paper files. Data integration between medical devices has long been a difficult problem for the medical information system, because the data from medical devices are lack of mandatory unified global standards and have outstanding heterogeneity of devices. In order to protect their own interests, manufacturers use special protocols, etc., thus causing medical decices to still be the "lonely island" of hospital information system. Besides, unfocused application of the data will lead to failure to achieve a reasonable distribution of medical resources. With the deepening of IT construction in hospitals, medical information systems will be bound to develop towards mobile applications, intelligent analysis, and interconnection and interworking, on the premise that there is an effective medical device integration (MDI) technology. To this end, this paper presents a MDI model based on the Internet of Things (IoT). Through abstract classification, this model is able to extract the common characteristics of the devices, resolve the heterogeneous differences between them, and employ a unified protocol to integrate data between devices. And by the IoT technology, it realizes interconnection network of devices and conducts associate matching between the data and the inspected at the device terminal in a timely manner. Bentham Open 2015-09-17 /pmc/articles/PMC4645837/ /pubmed/26628938 http://dx.doi.org/10.2174/1874120701509010256 Text en © Hao and Wang; Licensee Bentham Open. https://creativecommons.org/licenses/by/4.0/legalcode This is an open access article licensed under the terms of the (https://creativecommons.org/licenses/by/4.0/legalcode), which permits unrestricted, noncommercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Hao, Aiyu
Wang, Ling
Medical Device Integration Model Based on the Internet of Things
title Medical Device Integration Model Based on the Internet of Things
title_full Medical Device Integration Model Based on the Internet of Things
title_fullStr Medical Device Integration Model Based on the Internet of Things
title_full_unstemmed Medical Device Integration Model Based on the Internet of Things
title_short Medical Device Integration Model Based on the Internet of Things
title_sort medical device integration model based on the internet of things
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4645837/
https://www.ncbi.nlm.nih.gov/pubmed/26628938
http://dx.doi.org/10.2174/1874120701509010256
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