Medical Data Communication

2009 ◽  
pp. 349-391
Author(s):  
Ira J. Kalet
Keyword(s):  
Data Communication ◽  
Medical Data

scholarly journals Security Framework for Pervasive Healthcare Architectures Utilizing MPEG-21 IPMP Components

2009 ◽  
Vol 2009 ◽  
pp. 1-9 ◽  
Author(s):  
Anastasios Fragopoulos ◽  
John Gialelis ◽  
Dimitrios Serpanos
Keyword(s):  
Medical Information ◽  
Data Communication ◽  
Medical Data ◽  
Security Requirements ◽  
Property Management ◽  
Pervasive Healthcare ◽  
Medical Response ◽  
Intellectual Property Management ◽  
Computing Environments ◽  
Ubiquitous Computing Environments

Nowadays in modern and ubiquitous computing environments, it is imperative more than ever the necessity for deployment of pervasive healthcare architectures into which the patient is the central point surrounded by different types of embedded and small computing devices, which measure sensitive physical indications, interacting with hospitals databases, allowing thus urgent medical response in occurrences of critical situations. Such environments must be developed satisfying the basic security requirements for real-time secure data communication, and protection of sensitive medical data and measurements, data integrity and confidentiality, and protection of the monitored patient's privacy. In this work, we argue that the MPEG-21 Intellectual Property Management and Protection (IPMP) components can be used in order to achieve protection of transmitted medical information and enhance patient's privacy, since there is selective and controlled access to medical data that sent toward the hospital's servers.

scholarly journals Building a high quality medical data architecture for multiple uses in an integrated health care environment

2014 ◽  
Vol 3 (5) ◽  
pp. 55 ◽  
Author(s):  
Frank Boterenbrood ◽  
Irene Krediet ◽  
William Goossen
Keyword(s):  
Electronic Health Record ◽  
Data Exchange ◽  
Research Question ◽  
Data Communication ◽  
Medical Data ◽  
Health Record ◽  
Electronic Health Record Data ◽  
Clinical Models ◽  
Multiple Uses ◽  
Electronic Health

Objective: The aim was to create a reliable information provisioning system in healthcare for both care and research processes, based on existing data standards and standardized electronic messages. The research question is: How can a Clinical Data Ware House (CDWH) be developed for standardized basic patient data, generic nursing data and data about oncology nursing, allowing management of Electronic Health Record data, electronic data exchange and data analytics? Materials and methods: The main instrument used was the Detailed Clinical Model (DCM) data standardization approach. Further, data communication utilized HealthLevel7v3 (HL7v3) messages, transported by Mirth Connect. In an incremental, design-oriented research project, CDWH-prototypes were constructed using Enterprise Architect, a HL7v3 generator plug-in, SQL Server technology and PostgreSQL-based CDWH-technology. Results: The project resulted in 16 existing DCMs selected and 6 new DCMs defined. From those DCMs, a HL7v3 message structure was generated and a CDWH created. Implementing specialized Data Marts (DM) a connection between the CDWH and one Electronic Health Record system was built. Discussion: Detailed Clinical Models improve data quality, yet building them consumes time and resources. Some required data codes could not be identified in time and dummy codes were used instead. The existence of unstructured medical data in legacy systems may proof to be an obstacle in the future. Conclusion: The project shows that using Detailed Clinical Models as the sole source for system development leads to a sound design for a CDWH and HL7v3 messages, supporting a standards based health information system, suitable for multiple uses.

Telemedicine and decision support in emergency ambulances in Uppsala

2000 ◽  
Vol 6 (1) ◽  
pp. 1-7 ◽  
Author(s):  
R Karlsten ◽  
B A Sjoqvist
Keyword(s):  
Information Management ◽  
Data Communication ◽  
Information Management System ◽  
Medical Data ◽  
Medical Facility ◽  
Radio Network ◽  
Dispatch Centre ◽  
Medical Emergencies ◽  
Mobile Radio Network

In Sweden, as in many other countries, paramedics or nurses constitute the majority of prehospital personnel. If tasks usually performed by doctors are to be performed by these personnel, there is a need for guidelines and triage in the handling of medical emergencies. We describe an information management system used in ambulances for data communication, documentation, triaging and presentation of checklists. In most cases, data are input while the patient is being cared for. The information is collected and stored together with data automatically received from the dispatch centre. The latter data are transferred by a mobile radio network to the ambulance. Medical data (e.g. electrocardiograms) are transferred from the ambulance over the data network to the receiving medical facility. All transferred data are finally collected in a database for statistical analysis and follow-up.

scholarly journals Improving the Security and Confidentiality in the Internet of Medical Things Based on Edge Computing Using Clustering

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Anita Hatamian ◽  
Mohammad Bagher Tavakoli ◽  
Masoud Moradkhani
Keyword(s):  
Data Storage ◽  
Large Scale ◽  
Data Communication ◽  
User Interaction ◽  
Medical Data ◽  
Edge Computing ◽  
Remote Access ◽  
Physiological Data ◽  
The Internet ◽  
Internet Of Medical Things

Families, physicians, and hospital environments use remote patient monitoring (RPM) technologies to remotely monitor a patient’s vital signs, reduce visit time, reduce hospital costs, and improve the quality of care. The Internet of Medical Things (IoMT) is provided by applications that provide remote access to patient’s physiological data. The Internet of Medical Things (IoMT) tools basically have a user interface, biosensor, and Internet connectivity. Accordingly, it is possible to record, transfer, store, and process medical data in a short time by integrating IoMT with the data communication infrastructure in edge computing. (Edge computing is a distributed computing paradigm that brings computation and data storage closer to the sources of data. This is expected to improve response times and save bandwidth. A common misconception is that edge and IoT are synonymous.) But, this approach faces problems with security and intrusion into users’ medical data that are confidential. Accordingly, this study presents a secure solution in order to be used in the IoT infrastructure in edge computing. In the proposed method, first the clustering process is performed effectively using information about the characteristics and interests of users. Then, the people in each cluster evaluated by using edge computing and people with higher scores are considered as influential people in their cluster, and since users with high user interaction can publish information on a large scale, it can be concluded that, by increasing user interaction, information can be disseminated on a larger scale without any intrusion and thus in a safe way in the network. In the proposed method, the average of user interactions and user scores are used as a criterion for identifying influential people in each cluster. If there is a desired number of people who are considered to start disseminating information, it is possible to select people in each cluster with a higher degree of influence to start disseminating information. According to the research results, the accuracy has increased by 0.2 and more information is published in the proposed method than the previous methods.

scholarly journals Artificial Intelligence (AI) Provided Early Detection of the Coronavirus (COVID-19) in China and Will Influence Future Urban Health Policy Internationally

AI ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 156-165 ◽  
Author(s):  
Zaheer Allam ◽  
Gourav Dey ◽  
David Jones
Keyword(s):  
Artificial Intelligence ◽  
Health Policy ◽  
Urban Health ◽  
Data Communication ◽  
Medical Data ◽  
Computing Technology ◽  
International Policy ◽  
Efficient Data ◽  
Slow Progress ◽  
Made In

Predictive computing tools are increasingly being used and have demonstrated successfulness in providing insights that can lead to better health policy and management. However, as these technologies are still in their infancy stages, slow progress is being made in their adoption for serious consideration at national and international policy levels. However, a recent case evidences that the precision of Artificial Intelligence (AI) driven algorithms are gaining in accuracy. AI modelling driven by companies such as BlueDot and Metabiota anticipated the Coronavirus (COVID-19) in China before it caught the world by surprise in late 2019 by both scouting its impact and its spread. From a survey of past viral outbreaks over the last 20 years, this paper explores how early viral detection will reduce in time as computing technology is enhanced and as more data communication and libraries are ensured between varying data information systems. For this enhanced data sharing activity to take place, it is noted that efficient data protocols have to be enforced to ensure that data is shared across networks and systems while ensuring privacy and preventing oversight, especially in the case of medical data. This will render enhanced AI predictive tools which will influence future urban health policy internationally.

Scenarios for bedside medical data communication

1988 ◽  
Vol 10 (4) ◽  
pp. 8-14
Author(s):  
Richard I. Cook
Keyword(s):  
Data Communication ◽  
Medical Data

Internet-Kommunikation zwischen Hausärzten und Universitätsspital

Praxis ◽  
2002 ◽  
Vol 91 (7) ◽  
pp. 257-260
Author(s):  
Tschudi ◽  
Hunziker ◽  
Kündig ◽  
Lüscher ◽  
Freiermuth ◽  
...  
Keyword(s):  
Data Communication ◽  
Medical Data ◽  
Traitement Médical ◽  
Simple Substitution ◽  
Dossier Médical

Les nouvelles perspectives qu'offre la communication électronique en médecine sont illustrées ici par un projet pilote d'une interface de communication via internet (MeDaCom: medical data communication) entre médecins référents et praticiens hospitaliers. L'avantage des échanges électroniques réside principalement dans leur rapidité et leur capacité pour le transfert de données. Ceci confère à ces dernières une disponibilité, une compatibilité et une facilité d'intégration en adéquation avec les diverses contraintes de la gestion et du traitement d'un dossier médicale. Les qualités requises pour un programme gérant la communication électronique de données médicales sont donc liées à la sécurité du transfert, la disponibilité et l'intégration des données ainsi qu'au potentiel de gestion proprement dit du dossier médical (confidentialité, stabilité, simplicité d'utilisation, flexibilité, gestion comptable). L'efficacité de gestion du dossier voire du traitement médical peut être améliorée par la communication électronique dans la mesure où, au delà de la simple substitution du courrier papier par sa version électronique, celle-ci est compatible avec des fonctions plus complexes associées à une utilisation optimisée et généralisable des technologies modernes.

What Happens When Data Communication Fails? - A Simulation Study

2011 ◽  
Author(s):  
Sehchang Hah ◽  
Ben Willems ◽  
Kenneth Schulz
Keyword(s):  
Simulation Study ◽  
Data Communication
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