scholarly journals Data Transmission and Access Protection of Community Medical Internet of Things

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Xunbao Wang ◽  
Fulong Chen ◽  
Heping Ye ◽  
Jie Yang ◽  
Junru Zhu ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Access Control ◽  
Data Protection ◽  
Data Transmission ◽  
High Performance ◽  
Medical Information ◽  
Medical Data ◽  
Medical Information System ◽  
Sensitive Information ◽  
Protection Scheme

On the basis of Internet of Things (IoT) technologies, Community Medical Internet of Things (CMIoT) is a new medical information system and generates massive multiple types of medical data which contain all kinds of user identity data, various types of medical data, and other sensitive information. To effectively protect users’ privacy, we propose a secure privacy data protection scheme including transmission protection and access control. For the uplink transmission data protection, bidirectional identity authentication and fragmented multipath data transmission are used, and for the downlink data protection, fine grained access control and dynamic authorization are used. Through theoretical analysis and experiment evaluation, it is proved that the community medical data can be effectively protected in the transmission and access process without high performance loss.

Current Status of a Medical Information System

1970 ◽  
Vol 09 (03) ◽  
pp. 149-160 ◽  
Author(s):  
E. Van Brunt ◽  
L. S. Davis ◽  
J. F. Terdiman ◽  
S. Singer ◽  
E. Besag ◽  
...  
Keyword(s):  
Information System ◽  
Medical Records ◽  
Medical Information ◽  
Clinical Laboratory ◽  
Development Program ◽  
Medical Data ◽  
Direct Access ◽  
Medical Information System ◽  
Current Status ◽  
Central System

A pilot medical information system is being implemented and currently is providing services for limited categories of patient data. In one year, physicians’ diagnoses for 500,000 office visits, 300,000 drug prescriptions for outpatients, one million clinical laboratory tests, and 60,000 multiphasic screening examinations are being stored in and retrieved from integrated, direct access, patient computer medical records.This medical information system is a part of a long-term research and development program. Its major objective is the development of a multifacility computer-based system which will support eventually the medical data requirements of a population of one million persons and one thousand physicians. The strategy employed provides for modular development. The central system, the computer-stored medical records which are therein maintained, and a satellite pilot medical data system in one medical facility are described.

scholarly journals Medical Device Integration Model Based on the Internet of Things

2015 ◽  
Vol 9 (1) ◽  
pp. 256-261 ◽  
Author(s):  
Aiyu Hao ◽  
Ling Wang
Keyword(s):  
Information System ◽  
Internet Of Things ◽  
Medical Device ◽  
Medical Devices ◽  
Medical Information ◽  
Medical Information System ◽  
The Internet ◽  
Model Based ◽  
Device Integration ◽  
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 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 lack 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 devices 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 toward 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 inspection with the terminal device in a timely manner.

scholarly journals A Safe and Secured Medical Textual Information Using an Improved LSB Image Steganography

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Roseline Oluwaseun Ogundokun ◽  
Oluwakemi Christiana Abikoye
Keyword(s):  
Medical Information ◽  
Medical Data ◽  
Image Steganography ◽  
Medical Information System ◽  
Least Significant Bit ◽  
Stego Image ◽  
Performance Metric ◽  
Challenging Tasks ◽  
Multimedia Technologies ◽  
Lsb Technique

Safe conveyance of medical data across unsecured networks nowadays is an essential issue in telemedicine. With the exponential growth of multimedia technologies and connected networks, modern healthcare is a huge step ahead. Authentication of a diagnostic image obtained from a specialist at a remote location which is from the sender is one of the most challenging tasks in an automated healthcare setup. Intruders were found to be able to efficiently exploit securely transmitted messages from previous literature since the algorithms were not efficient enough leading to distortion of information. Therefore, this study proposed a modified least significant bit (LSB) technique capable of protecting and hiding medical data to solve the crucial authentication issue. The application was executed and established by utilizing MATLAB 2018a, and it used a logical bit shift operation for execution. The investigational outcomes established that the proposed technique can entrench medical information without leaving a perceptible falsification in the stego image. The result of this implementation shows that the modified LSB image steganography outperformed the standard LSB technique with a higher PSNR value and lower MSE value when compared with previous research works. The number of shifts was added as a new performance metric for the proposed system. The study concluded that the proposed secured medical information system was evidenced to be proficient in secreting medical information and creating undetectable stego images with slight entrenching falsifications when likened to other prevailing approaches.

scholarly journals Data Protection by Design in the E-Health Care Sector

2021 ◽  
Author(s):  
Giorgia Bincoletto
Keyword(s):  
Health Care ◽  
Data Protection ◽  
Medical Information ◽  
Health Care Sector ◽  
Design Stage ◽  
Personal Health ◽  
Sensitive Information ◽  
Primary Concern ◽  
Health Technologies ◽  
Data Subject

In the digital age, e-health technologies play a pivotal role in the processing of medical information. As personal health data represent sensitive information concerning a data subject, enhancing data protection and security of systems and practices has become a primary concern. This book explores how an e-health system could be developed and how data processing activities could be carried out to apply data protection principles and requirements from the design stage. There is currently a lack of clarity and knowledge on the topic among developers, data controllers and stakeholders. The research attempts to bridge the gap between the legal and technical disciplines on DPbD by providing a set of guidelines for the implementation of the principle in the e-health care sector.

Cloud Computing as the Useful Resource for Application of the Medical Information System for Quality Assurance Purposes

2016 ◽  
Vol 1 (2) ◽  
pp. 1-23
Author(s):  
Ekaterina Kldiashvili
Keyword(s):  
Health Care ◽  
Cloud Computing ◽  
Information System ◽  
Health Care Services ◽  
High Performance ◽  
Large Scale ◽  
Medical Information ◽  
Health Care Research ◽  
Healthcare Sector ◽  
Medical Information System

The eHealth is a rapidly evolving and changing field. The different models and protocols of medical information system (MIS) are now available. The MIS and its everyday usage is extremely beneficial for the healthcare sector, but its introduction in everyday practice is slow. Cloud computing is perspective field and it differs from the conventional distributed computing by its focus on large-scale sharing, innovative applications, and high-performance orientation. This paper defines “cloud computing” as flexible, secure, coordinated resource for data sharing among dynamic collections of individuals, institutions, and etc. It should be emphasized, that cloud computing can be reviewed as a useful tool for sharing of computing resources and services. The author expects that this technology has huge potential in health care and can improve health care services, as well as provide benefits for health care research. It is proposed that the solution is the widespread and routine implementation of the medical information system. The present article will discuss the application of cloud computing for the medical information system practical usage. The goal in the information age must be to create knowledge from medical information with less time managing medical information and data. The availability of adaptable technology and possibility of improvement of the infrastructure conditions is the basis for medical informatics applications. The routine application of MIS by healthcare organization holds the potential to improve, develop and realize medical service in the effective and comprehensive mode.

scholarly journals LIP-PA: A Logistics Information Privacy Protection Scheme with Position and Attribute-Based Access Control on Mobile Devices

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Qi Gao ◽  
Junwei Zhang ◽  
Jianfeng Ma ◽  
Chao Yang ◽  
Jingjing Guo ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Access Control ◽  
Mobile Devices ◽  
Privacy Protection ◽  
Personal Information ◽  
Information Privacy ◽  
Smart Devices ◽  
Protection Scheme ◽  
Logistics Information ◽  
Attribute Based Access Control

With the fast development of Logistics Internet of Things and smart devices, the security of express information processed by mobile devices in Logistics Internet of Things has attracted much attention. However, the existing secure express schemes only focus on privacy protection of personal information but do not consider the security of the logistics information against couriers with malicious mobile devices. For example, a privacy-preserving delivery path should be required in order to prevent the privacy leakage in the express delivery procedure. Therefore, besides the security of personal information, the privacy protection of logistics information and authentication of mobile devices used in express company are important to security in Logistics Internet of Things. In this paper, we propose a secure logistics information scheme LIP-PA to provide privacy protection of both personal information and logistics information. First, we define the basic requirements of Logistics Internet of Things. Then, using attribute-based encryption and position-based key exchange, we propose a logistics information privacy protection scheme with position and attribute-based access control for mobile devices. The analysis results show that our scheme satisfies the defined requirements. Finally, the performance of our scheme is evaluated and the experiment results show that our scheme is efficient and feasible for mobile devices in real parcel delivery scenario.

scholarly journals Lightweight Privacy-Preserving Data Sharing Scheme for Internet of Medical Things

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Zhuo Zhao ◽  
Chingfang Hsu ◽  
Lein Harn ◽  
Qing Yang ◽  
Lulu Ke
Keyword(s):  
Access Control ◽  
Data Sharing ◽  
Medical Information ◽  
High Efficiency ◽  
Privacy Preserving ◽  
Medical Data ◽  
Medical Professionals ◽  
Sharing Scheme ◽  
Internet Of Medical Things ◽  
Similar Solutions

Internet of Medical Things (IoMT) is a kind of Internet of Things (IoT) that includes patients and medical sensors. Patients can share real-time medical data collected in IoMT with medical professionals. This enables medical professionals to provide patients with efficient medical services. Due to the high efficiency of cloud computing, patients prefer to share gathering medical information using cloud servers. However, sharing medical data on the cloud server will cause security issues, because these data involve the privacy of patients. Although recently many researchers have designed data sharing schemes in medical domain for security purpose, most of them cannot guarantee the anonymity of patients and provide access control for shared health data, and further, they are not lightweight enough for IoMT. Due to these security and efficiency issues, a novel lightweight privacy-preserving data sharing scheme is constructed in this paper for IoMT. This scheme can achieve the anonymity of patients and access control of shared medical data. At the same time, it satisfies all described security features. In addition, this scheme can achieve lightweight computations by using elliptic curve cryptography (ECC), XOR operations, and hash function. Furthermore, performance evaluation demonstrates that the proposed scheme takes less computation cost through comparison with similar solutions. Therefore, it is fairly an attractive solution for efficient and secure data sharing in IoMT.

scholarly journals Stochastic Channel-Based Federated Learning With Neural Network Pruning for Medical Data Privacy Preservation: Model Development and Experimental Validation (Preprint)

2019 ◽  
Author(s):  
Rulin Shao ◽  
Hongyu He ◽  
Ziwei Chen ◽  
Hui Liu ◽  
Dianbo Liu
Keyword(s):  
Distributed System ◽  
Data Privacy ◽  
High Performance ◽  
Privacy Preservation ◽  
Characteristic Curve ◽  
Model Development ◽  
Medical Data ◽  
Performance Model ◽  
Security And Privacy ◽  
Sensitive Information

BACKGROUND Artificial neural networks have achieved unprecedented success in the medical domain. This success depends on the availability of massive and representative datasets. However, data collection is often prevented by privacy concerns, and people want to take control over their sensitive information during both the training and using processes. OBJECTIVE To address security and privacy issues, we propose a privacy-preserving method for the analysis of distributed medical data. The proposed method, termed stochastic channel-based federated learning (SCBFL), enables participants to train a high-performance model cooperatively and in a distributed manner without sharing their inputs. METHODS We designed, implemented, and evaluated a channel-based update algorithm for a central server in a distributed system. The update algorithm will select the channels with regard to the most active features in a training loop, and then upload them as learned information from local datasets. A pruning process, which serves as a model accelerator, was further applied to the algorithm based on the validation set. RESULTS We constructed a distributed system consisting of 5 clients and 1 server. Our trials showed that the SCBFL method can achieve an area under the receiver operating characteristic curve (AUC-ROC) of 0.9776 and an area under the precision-recall curve (AUC-PR) of 0.9695 with only 10% of channels shared with the server. Compared with the federated averaging algorithm, the proposed SCBFL method achieved a 0.05388 higher AUC-ROC and 0.09695 higher AUC-PR. In addition, our experiment showed that 57% of the time is saved by the pruning process with only a reduction of 0.0047 in AUC-ROC performance and a reduction of 0.0068 in AUC-PR performance. CONCLUSIONS In this experiment, our model demonstrated better performance and a higher saturating speed than the federated averaging method, which reveals all of the parameters of local models to the server. The saturation rate of performance could be promoted by introducing a pruning process and further improvement could be achieved by tuning the pruning rate.

Application of the Cloud Computing for the Effective Implementation of the Medical Information System

2014 ◽  
Vol 4 (3) ◽  
pp. 52-68 ◽  
Author(s):  
Ekaterina Kldiashvili
Keyword(s):  
Health Care ◽  
Cloud Computing ◽  
Information System ◽  
Resource Sharing ◽  
High Performance ◽  
Large Scale ◽  
Medical Information ◽  
Health Care Research ◽  
Medical Information System ◽  
Effective Implementation

The field of healthcare informatics is rapidly evolving. The new models and protocols of medical information system (MIS) are developed. Despite obvious advantages and benefits, practical application of MIS in everyday practice is slow. Cloud computing have emerged as an important new field, distinguished from conventional distributed computing by its focus on large-scale sharing, innovative applications, and, in some cases, high-performance orientation. “Cloud computing” the authors are going to define as flexible, secure, coordinated resource sharing among dynamic collections of individuals, institutions, and resources. Cloud computing is a new way of delivering computing resources and services. It is plausible, that this technology has more potential and can improve health care services, benefit health care research, and change the face of health information technology. This can be solution for widespread and effective implementation of the medical information system. The present article will discuss the application of cloud computing for the medical information system practical usage. The ideal of healthcare in the information age must be to create knowledge from medical information and less time managing medical information and data. The application of easily available and adaptable technology and improvement of the infrastructure conditions is the basis for medical informatics applications. The usage of MIS holds the potential to improve, develop and realize medical service in the effective and comprehensive mode.

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