A secure Internet of Things medical information sharing and emergency notification system based on nonrepudiation mechanism

2020 ◽  
pp. e3946 ◽  
Author(s):  
Chin-Ling Chen ◽  
Tsai-Tung Yang ◽  
Yong-Yuan Deng ◽  
Chi-Hua Chen
Keyword(s):  
Internet Of Things ◽  
Information Sharing ◽  
Medical Information ◽  
Notification System

Behavioral Health Professionals’ Perceptions on Outcomes of Patient-Controlled Granular Information Sharing Study: Focus Groups and Survey (Preprint)

2020 ◽  
Author(s):  
Julia Ivanova ◽  
Tianyu Tang ◽  
Nassim Idouraine ◽  
Anite Murcko ◽  
Adela Grando ◽  
...  
Keyword(s):  
Focus Groups ◽  
Information Sharing ◽  
Behavioral Health ◽  
Health Professionals ◽  
Medical Information ◽  
Health Data ◽  
Health Record ◽  
Team Members ◽  
Patient Study ◽  
Actual Patient

BACKGROUND Granular information sharing studies rarely use actual patient electronic health record (EHR) information. In a previous study, behavioral health patients categorized their own EHR data into sensitive categories (e.g. mental health) and chose which care team members (e.g. pharmacists) should have access to those records. In this study, behavioral health professionals are provided access to the outcomes of a previous patient study to better understand the perspectives of health professionals on patient-controlled granular information sharing. OBJECTIVE Assess behavioral health professionals’: (1) perspectives on understanding and opinions about granular information sharing; (2) accuracy in assessing redacted medical information; (3) reactions to patient rationale for health data categorization, assignment of sensitivity, and sharing choices; and (4) recommendations on how to improve the process of granular health information sharing. METHODS Four two-hour focus groups and a pre- and post-survey were conducted at two integrated health facilities. During the focus groups, outcomes from a previous study on patients’ medical record sharing choices were shared. Thematic analysis and descriptive statistical analyses were conducted. RESULTS Twenty-eight professionals were initially unaware of or provided incorrect definitions of granular information sharing (56.0%). After having access to outcomes from a previous patient study, professionals increased their mixed perspectives (21.4% to 37.1%) on granular information sharing. A majority (81.3%) identified that key medical data had been redacted from the study case. Many (66.1%) stated they did not understand patient rationale for categorization or medical sharing preferences. Finally, participants recommended that a variety of educational approaches be incorporated to inform patients about granular information and health record sharing processes. CONCLUSIONS This study provides detailed insights from behavioral health professionals on patient-controlled granular information sharing. Health professionals accurately identified information gaps resulting from patient-directed data redaction, improved in their overall concept comprehension, underscored the fine line between patient safety and patient rights, and expressed a commitment to help patients appreciate the risks and benefits associated with granular information sharing. Outcomes will inform the development, deployment and evaluation of an electronic consent tool for granular health data sharing.

scholarly journals Using NLP in openEHR archetypes retrieval to promote interoperability: a feasibility study in China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bo Sun ◽  
Fei Zhang ◽  
Jing Li ◽  
Yicheng Yang ◽  
Xiaolin Diao ◽  
...  
Keyword(s):  
Information Sharing ◽  
Language Processing ◽  
Medical Information ◽  
Medical Professional ◽  
Semantic Interoperability ◽  
Medical Information System ◽  
Search Term ◽  
Search Terms ◽  
Novel Approach ◽  
Test Sets

Abstract Background With the development and application of medical information system, semantic interoperability is essential for accurate and advanced health-related computing and electronic health record (EHR) information sharing. The openEHR approach can improve semantic interoperability. One key improvement of openEHR is that it allows for the use of existing archetypes. The crucial problem is how to improve the precision and resolve ambiguity in the archetype retrieval. Method Based on the query expansion technology and Word2Vec model in Nature Language Processing (NLP), we propose to find synonyms as substitutes for original search terms in archetype retrieval. Test sets in different medical professional level are used to verify the feasibility. Result Applying the approach to each original search term (n = 120) in test sets, a total of 69,348 substitutes were constructed. Precision at 5 (P@5) was improved by 0.767, on average. For the best result, the P@5 was up to 0.975. Conclusions We introduce a novel approach that using NLP technology and corpus to find synonyms as substitutes for original search terms. Compared to simply mapping the element contained in openEHR to an external dictionary, this approach could greatly improve precision and resolve ambiguity in retrieval tasks. This is helpful to promote the application of openEHR and advance EHR information sharing.

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 The role of social media in clubfoot: information sharing and social support

2021 ◽  
Vol 15 (1) ◽  
pp. 81-88
Author(s):  
Gabriel Hanna ◽  
Brian D. Batko ◽  
James Potter ◽  
Joseph Ippolito ◽  
Folorunsho Edobor-Osula
Keyword(s):  
Social Media ◽  
Information Sharing ◽  
Emotional Support ◽  
Medical Information ◽  
Second Opinion ◽  
Level Of Evidence ◽  
Success Stories ◽  
Congenital Foot Deformity ◽  
Facebook Pages

Purpose Clubfoot is the most common congenital foot deformity in children. Caregivers often seek medical information on the internet. The aim of the study was to characterize how social media is used by caregivers to access medical information. Methods A search was performed on Facebook, Twitter and YouTube platforms. Information was quantitatively assessed. Comments were qualitatively assessed, and the Kruskal-Wallis test was used to study thematic comment distribution. Results In total, 58 Facebook groups and pages, 109 YouTube accounts and ten Twitter accounts related to clubfoot were discovered from 2007 to 2019. Facebook groups and pages had a collective 56 123 members and 80 544 total likes, respectively. YouTube had a collective 3 280 454 views, with 54 969 total comments throughout the accounts. Comment themes most commonly included sharing information and advice (38.7%), appreciation and success stories (12.8%), emotional support (12.7%) and social media as a second opinion (11.9%). Facebook groups contained a significantly higher number of comments related to ‘social media as a second opinion’ compared with Facebook pages (p = 0.001), Twitter (p = 0.016) and YouTube (p < 0.0001) while YouTube contained a significantly lower number of comments related to ‘sharing information’ compared with Facebook groups, pages and Twitter (p < 0.0001). Conclusion Social media continues to be a growing tool for information sharing and the findings of this study highlight the importance placed by caregivers on the advice of their peers. The online presence of caregivers may represent an opportunity for orthopaedic surgeons to communicate with patients and help them make informed decisions. Level of evidence IV

scholarly journals A deep learning platooning-based video information-sharing Internet of Things framework for autonomous driving systems

2019 ◽  
Vol 15 (11) ◽  
pp. 155014771988313 ◽  
Author(s):  
Zishuo Zhou ◽  
Zahid Akhtar ◽  
Ka Lok Man ◽  
Kamran Siddique
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Deep Learning ◽  
Internet Of Things ◽  
Information Sharing ◽  
Communication Technology ◽  
Empirical Evaluation ◽  
Traffic Lights ◽  
Video Information ◽  
Safety And Stability

To enhance the safety and stability of autonomous vehicles, we present a deep learning platooning-based video information-sharing Internet of Things framework in this study. The proposed Internet of Things framework incorporates concepts and mechanisms from several domains of computer science, such as computer vision, artificial intelligence, sensor technology, and communication technology. The information captured by camera, such as road edges, traffic lights, and zebra lines, is highlighted using computer vision. The semantics of highlighted information is recognized by artificial intelligence. Sensors provide information on the direction and distance of obstacles, as well as their speed and moving direction. The communication technology is applied to share the information among the vehicles. Since vehicles have high probability to encounter accidents in congested locations, the proposed system enables vehicles to perform self-positioning with other vehicles in a certain range to reinforce their safety and stability. The empirical evaluation shows the viability and efficacy of the proposed system in such situations. Moreover, the collision time is decreased considerably compared with that when using traditional systems.

Automatic notification system and its application in medical information systems

2012 ◽  
Author(s):  
Marija T. Stojkovic ◽  
Aleksandar D. Veljanovski ◽  
Aleksandar M. Milenkovic ◽  
Dragan S. Jankovic
Keyword(s):  
Information Systems ◽  
Medical Information ◽  
Medical Information Systems ◽  
Notification System

Cloud-Computing-Based Biomedical Information Sharing Business Model

2014 ◽  
Vol 556-562 ◽  
pp. 6199-6202
Author(s):  
Hui Jie Ding ◽  
Chun Jiang Yu ◽  
Shu Huang
Keyword(s):  
Cloud Computing ◽  
Information Sharing ◽  
Medical Information ◽  
System Structure ◽  
Medical Information System ◽  
Distributed Programming ◽  
Medical Computing ◽  
Computing Platform ◽  
Whole Process ◽  
Virtual Platform

The presence of large amounts of Data Island in medical information system seriously hindered the whole process coordination and integration of the health service. To solve above problems, this paper, on the basis of the analysis of characteristics of medical information resources, put forward medical information sharing system based on cloud computing, discussed the medical computing platform and key technology of the system structure and in the technical implementation, on the basis of Hadoop platform and virtual platform Tashi, demonstrates the feasibility of the system by using graphs to cloud computing distributed programming.

Context information sharing for the Internet of Things: A survey

2020 ◽  
Vol 166 ◽  
pp. 106988 ◽  
Author(s):  
Everton de Matos ◽  
Ramão Tiago Tiburski ◽  
Carlos Roberto Moratelli ◽  
Sergio Johann Filho ◽  
Leonardo Albernaz Amaral ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Information Sharing ◽  
The Internet ◽  
Context Information ◽  
The Internet Of Things

scholarly journals Supply Chain Inventory Collaborative Management and Information Sharing Mechanism Based on Cloud Computing and 5G Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Fuan Zhang ◽  
Zhenzhi Gong
Keyword(s):  
Cloud Computing ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Internet Of Things ◽  
Information Sharing ◽  
Bullwhip Effect ◽  
Collaborative Management ◽  
Computing Technology ◽  
Chain Management ◽  
Information Sharing Mechanism

With the development of economic globalization, the competition among enterprises is increasingly fierce. Therefore, companies need close information sharing to realize the integration of supply chain. This article aims to study the collaborative management and information sharing mechanism of supply chain inventory based on cloud computing and 5G Internet of Things. This article first introduces the theory and methods of collaborative supply chain management and the information exchange mechanism and then discusses the problem of information sharing in the supply chain, that is, the bullwhip phenomenon, and then from the demand forecast, supply chain structure, time lag, and shortage game, six aspects are analyzed. The cause of the bullwhip phenomenon is analyzed. Secondly, this article proposes a quantitative analysis of the bullwhip effect, establishes a mathematical model of the bullwhip effect in the supply chain, and uses quantitative analysis to analyze the value of information sharing in the supply chain. Finally, this article uses cloud computing technology to build a supply chain information collaboration system architecture and uses EPC Internet of Things to build a supply chain information sharing model and describes the entire operation process of the supply chain. The experimental results of this paper show that the application of cloud computing technology to supply chain management establishes a system platform for supply chain information sharing, improves the overall operational efficiency of supply chain management, and realizes supply chain information sharing and business collaboration. In addition, the operating costs and risks of each node enterprise in the supply chain are reduced by 12% compared with the nonsharing situation, which also shows that the overall benefits of the supply chain have been correspondingly improved and market competitiveness has been enhanced.

scholarly journals Implementation of ABMS with Cuk Converter for Enhanced Battery Life using Internet of Things

2021 ◽  
Vol 7 (05) ◽  
pp. 107-111
Author(s):  
Juhi Jasiha E & Dr Rajeswari R
Keyword(s):  
Internet Of Things ◽  
Simulation Software ◽  
Battery Life ◽  
Model Parameters ◽  
Battery Voltage ◽  
Notification System ◽  
Cuk Converter ◽  
Terminal Voltage ◽  
Electrochemical Model

This paper describes about implementing absolute battery monitoring system using IoT (Internet of things) for enhanced battery life of BFEV. Cuk converter is used to give ripple less voltage to the battery and also the converter operates in both normal and regenerating modes. The converter is designed as Vs=20V, fs=50kHz with 80% of duty cycle for a 12V battery. For enhanced battery life, proper battery monitoring is important to analyze the battery performance. For SOC determination of battery, voltage method is used to identify the battery status by Proteus simulation software. The main aim is to analyze the sensitivity of the electrochemical model parameters under a real-world driving cycle for not only the terminal voltage, but also the essential states in an ABMS including the smart alerting and notification system through SMS using SIMCOM GSM modem in order to intimate the user regarding the battery level status.

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