Interoperability of healthcare information systems

Hammami, Randa; Bellâaj, Hatem; Kacem, Ahmed Hadj

doi:10.1109/sncc.2014.6866536

Cited by 5 publications

(4 citation statements)

References 14 publications

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“…The CNN in this article is a deep neural network. [23][24][25] CNN is a special kind of deep neural network model, its particularity is reflected in two aspects, on the one hand, the connection between its neurons is nonfull connection, on the other hand, the weight of the connection between some neurons in the same layer is shared (ie, the same). Its nonfully connected and weight-sharing network structure makes it more similar to biological neural networks, reducing the complexity of the network model (which is important for deep structures that are difficult to learn), and reducing the number of weights.…”

Section: Design Of Data Processing Algorithmmentioning

confidence: 99%

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Research and optimization of sports injury medical system under the background of Internet of things

2020

Trans Emerging Tel Tech

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With the popularization of Internet of things (IoT) knowledge and the wide dissemination of technology, IoT technology medical and health industry has brought far-reaching influence. This article studies the application of IoT technology in sports injury medical system, and expounds the application of telemedicine, mobile diagnosis, and user data management in medical system supported by IoT technology. First, the application layer, network layer, and perceptual layer structure of the IoT are used to plan the overall hierarchy of the sports injury medical system, and then the system is divided into three modules, which are the user physiological parameter acquisition module, the user physiological parameter processing module, and the motion damage diagnosis result module. Finally, the performance of the system is detected from packet loss rate and concurrency quantity, and it is concluded that the medical system of sports injury can meet the requirements of field diagnosis based on the background of IoT, and the user's satisfaction is found to be greatly improved by the results of user's investigation. 1 INTRODUCTION The so-called Internet of things (IoT) refers to a variety of information sensing equipment, such as RFID devices, infrared sensors, global positioning system, laser scanners, and other equipment implanted in a variety of items, and then the realization of intelligent items. 1-3 Combine these information sensing devices with the Internet to form a vast network of interconnection and information sharing between objects, computers and people. For medical units, the application of IoT technology will vigorously promote the development of hospital information, but also the trend of future development, in the continuous improvement of medical procedures, improve the quality of medical care, to ensure the safety of patients, the realization of telemedicine, special population health care, strengthen medical device management, drug security, and many other aspects will play an extremely important role. 4-6 At the end of 2008, Korea introduced the concept of "smart healthcare," 7,8 which envisages the introduction of IoT related technologies in the medical field, the interconnection, sharing, collaboration, and public health prevention of medical information, and believes that IoT technology will be more widely used in medical platforms, electronic health file systems, and other fields. The European Commission 8 launched an IoT strategy in the form of a policy article, proposing to give Europe a global lead in the development of intelligent Internet-based infrastructure, and to invest billion euros through R&D programs to launch a number of related R&D projects, in addition to improving the level of network intelligence, more billion euros a year over the years to further strengthen R&D efforts, while allocating billion euros to the construction of IoT related short-term projects, including medical related projects. In addition, different scholars have also

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Section: Design Of Data Processing Algorithmmentioning

confidence: 99%

“…Such a layer after layer added, and eventually formed a deep neural network. The CNN in this article is a deep neural network 26–28 …”

Section: Design Of Sports Injury Medical System Based On Iotmentioning

confidence: 99%

Research and optimization of sports injury medical system under the background of Internet of things

2020

Trans Emerging Tel Tech

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“…As the healthcare information systems are provided by a variety of producers, the big data analysis has to deal with the differences of the various system and database architecture; a key challenge is faced when synchronizing the data from various sources (Chauhan et al 2017). Real and efficient cooperation between healthcare facilities or even their organisational units is not possible (Hammami et al 2014;Zdravković et al 2014). The combination of data from different departments like laboratory, radiology, admission wards, and medicine supply store are needed.…”

Section: Literature Reviewmentioning

confidence: 99%

Information and Communication Technology in the Role of Information System of Healthcare Facility in the Slovak Republic

et al. 2018

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Abstract:The study presents a general overview of the healthcare facility system of the Slovak Republic, especially in a field of the innovation process of the management information system, with a purpose of analysing the consistency and a unity of the system. The data applied in this analysis is collected as a part of the Gesiti research project. This project is developed for mapping out the management of an information system and information technology in healthcare facilities around the whole world. The main goal of the project is to identify the needs and the demands of the healthcare facilities and to create an integrated research report with a focus on a report research roadmap. The information and communication technologies that are applied are partially unsuitable in the healthcare facilities in the Slovak Republic. Information systems are used without exact plans of their future development. This makes it almost impossible to develop them according to the modern needs and to join them with the other systems that are currently used. The big issues also lie in financing these systems and the personnel responsible for them. The outcome of the analysis should create a direction for financial decision making support and for better management of the healthcare facilities, both in the public and the private sector.

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“…. According to Hammami, Bellaaj, & Kacem [13], inconsistent and badly documented standards are identified as the challenges that hinder the progress towards achieving truly beneficial semantic interoperability medical information systems (MISs). .…”

Section: The Need Of Metadata Standard For Recordkeeping System Integmentioning

confidence: 99%

Recordkeeping Metadata Standardization for Electronic Health Records System Integration: a Preliminary Study

Asari¹,

Hussin²,

Samsudin³

et al. 2018

IJET

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Electronic Health Records (EHRs) are beneficial in improving patient care, promoting safe practice, as well as enhancing patients and multiple providers’ communication and risk error reduction. However, it seems that the adoption of EHR system is happening very slowly to become fully integrated in both primary care and within hospital settings. In Malaysia, the implemented system still has limited integration and interoperability for supporting clinical operations among other Ministry of Health Malaysia (MOHM) hospitals, health centres, and clinics. Therefore, the objective of this paper is to discuss about this scenario and strain the need for solution through the consideration towards metadata standard establishment in health records system integration. Method used in this study is literature review analysis and face-to-face interview. The paper begins with discussions from various literatures highlighting the need of metadata standard for recordkeeping system integration. Subsequently, the face-to-face interview is done to explore the real situation in Malaysia to encounter the scenario discuss in the literatures. The finding of this study reveals that there is significant need for further research on record keeping metadata standard development for realization of electronic health records system integration. This study is significant for records managers, information technology managers, system developers and record keeping audit.

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Interoperability of healthcare information systems

Cited by 5 publications

References 14 publications

Research and optimization of sports injury medical system under the background of Internet of things

Research and optimization of sports injury medical system under the background of Internet of things

Information and Communication Technology in the Role of Information System of Healthcare Facility in the Slovak Republic

Recordkeeping Metadata Standardization for Electronic Health Records System Integration: a Preliminary Study

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