Read by QxMD icon Read

Architecture of big data in health system

Alramzana Nujum Navaz, Mohamed Adel Serhani, Nabeel Al-Qirim, Marton Gergely
BACKGROUND AND OBJECTIVES: Mobile and ubiquitous devices are everywhere, generating an exorbitant amount of data. New generations of healthcare systems are using mobile devices to continuously collect large amounts of different types of data from patients with chronic diseases. The challenge with such Mobile Big Data in general, is how to meet the growing performance demands of the mobile resources handling these tasks, while simultaneously minimizing their consumption. METHODS: This research proposes a scalable architecture for processing Mobile Big Data...
November 2018: Computer Methods and Programs in Biomedicine
Norbert Maggi, Roberta Gazzarata, Carmelina Ruggiero, Claudio Lombardo, Mauro Giacomini
INTRODUCTION: This article focuses on the integration of omics data in electronic health records and on interoperability aspects relating to big data analysis for precision medicine. METHODS: Omics data integration methods for electronic health record and for systems interoperability are considered, with special reference to the high number of specific software tools used to manage different aspects of patient treatment. This is an important barrier against the use of this integrated approach in daily clinical routine...
August 17, 2018: Tumori
Atilla Ergüzen, Erdal Erdal
Digital medical image usage is common in health services and clinics. These data have a vital importance for diagnosis and treatment; therefore, preservation, protection, and archiving of these data are a challenge. Rapidly growing file sizes differentiated data formats and increasing number of files constitute big data, which traditional systems do not have the capability to process and store these data. This study investigates an efficient middle layer platform based on Hadoop and MongoDB architecture using the state-of-the-art technologies in the literature...
2018: Journal of Healthcare Engineering
Naoual El Aboudi, Laila Benhlima
The growing amount of data in healthcare industry has made inevitable the adoption of big data techniques in order to improve the quality of healthcare delivery. Despite the integration of big data processing approaches and platforms in existing data management architectures for healthcare systems, these architectures face difficulties in preventing emergency cases. The main contribution of this paper is proposing an extensible big data architecture based on both stream computing and batch computing in order to enhance further the reliability of healthcare systems by generating real-time alerts and making accurate predictions on patient health condition...
2018: Advances in Bioinformatics
Márcio Freire Cruz, Carlos Arthur Mattos Teixeira Cavalcante, Sérgio Torres Sá Barretto
Health Level Seven (HL7) is one of the standards most used to centralize data from different vital sign monitoring systems. This solution significantly limits the data available for historical analysis, because it typically uses databases that are not effective in storing large volumes of data. In industry, a specific Big Data Historian, known as a Process Information Management System (PIMS), solves this problem. This work proposes the same solution to overcome the restriction on storing vital sign data. The PIMS needs a compatible communication standard to allow storing, and the one most commonly used is the OLE for Process Control (OPC)...
May 30, 2018: Journal of Medical Systems
Manuel Rodríguez-Martínez
Social media has become an important platform to gauge public opinion on topics related to our daily lives. In practice, processing these posts requires big data analytics tools since the volume of data and the speed of production overwhelm single-server solutions. Building an application to capture and analyze posts from social media can be a challenge simply because it requires combining a set of complex software tools that often times are tricky to configure, tune, and maintain. In many instances, the application ends up being an assorted collection of Java/Scala programs or Python scripts that developers cobble together to generate the data products they need...
June 2017: Proceedings. IEEE International Congress on Big Data
Abderrazak Sebaa, Fatima Chikh, Amina Nouicer, AbdelKamel Tari
The huge increases in medical devices and clinical applications which generate enormous data have raised a big issue in managing, processing, and mining this massive amount of data. Indeed, traditional data warehousing frameworks can not be effective when managing the volume, variety, and velocity of current medical applications. As a result, several data warehouses face many issues over medical data and many challenges need to be addressed. New solutions have emerged and Hadoop is one of the best examples, it can be used to process these streams of medical data...
February 19, 2018: Journal of Medical Systems
Panagiotis Katrakazas, Lyubov Trenkova, Josip Milas, Dario Brdaric, Dimitris Koutsouris
As Decision Support Systems start to play a significant role in decision making, especially in the field of public-health policy making, we present an initial attempt to formulate such a system in the concept of public health policy making for hearing loss related problems. Justification for the system's conceptual architecture and its key functionalities are presented. The introduction of the EVOTION DSS sets a key innovation and a basis for paradigm shift in policymaking, by incorporating relevant models, big data analytics and generic demographic data...
2017: Studies in Health Technology and Informatics
Philipp Urbauer, Maximilian Kmenta, Matthias Frohner, Alexander Mense, Stefan Sauermann
Interoperability is a key requirement for any IT-System to be future proof and cost efficient, due to the increasing interaction of IT-Systems in Healthcare. This feasibility study is part of a larger project focusing on the conceptualization and evaluation of interoperable and modular IT-Framework components for exchanging big data information sets. Hence, this project investigates the applicability of a standard based IT-Architecture for the integration of Personal Health Devices data and open data sources...
2017: Studies in Health Technology and Informatics
M Mazhar Rathore, Awais Ahmad, Anand Paul, Jiafu Wan, Daqiang Zhang
Healthy people are important for any nation's development. Use of the Internet of Things (IoT)-based body area networks (BANs) is increasing for continuous monitoring and medical healthcare in order to perform real-time actions in case of emergencies. However, in the case of monitoring the health of all citizens or people in a country, the millions of sensors attached to human bodies generate massive volume of heterogeneous data, called "Big Data." Processing Big Data and performing real-time actions in critical situations is a challenging task...
December 2016: Journal of Medical Systems
Oresti Banos, Muhammad Bilal Amin, Wajahat Ali Khan, Muhammad Afzal, Maqbool Hussain, Byeong Ho Kang, Sungyong Lee
BACKGROUND: The provision of health and wellness care is undergoing an enormous transformation. A key element of this revolution consists in prioritizing prevention and proactivity based on the analysis of people's conducts and the empowerment of individuals in their self-management. Digital technologies are unquestionably destined to be the main engine of this change, with an increasing number of domain-specific applications and devices commercialized every year; however, there is an apparent lack of frameworks capable of orchestrating and intelligently leveraging, all the data, information and knowledge generated through these systems...
July 15, 2016: Biomedical Engineering Online
Stephan Velsko, Thomas Bates
Despite numerous calls for improvement, the US biosurveillance enterprise remains a patchwork of uncoordinated systems that fail to take advantage of the rapid progress in information processing, communication, and analytics made in the past decade. By synthesizing components from the extensive biosurveillance literature, we propose a conceptual framework for a national biosurveillance architecture and provide suggestions for implementation. The framework differs from the current federal biosurveillance development pathway in that it is not focused on systems useful for "situational awareness" but is instead focused on the long-term goal of having true warning capabilities...
May 2016: Health Security
Sean Peisert, William Barnett, Eli Dart, James Cuff, Robert L Grossman, Edward Balas, Ari Berman, Anurag Shankar, Brian Tierney
OBJECTIVE: We describe use cases and an institutional reference architecture for maintaining high-capacity, data-intensive network flows (e.g., 10, 40, 100 Gbps+) in a scientific, medical context while still adhering to security and privacy laws and regulations. MATERIALS AND METHODS: High-end networking, packet filter firewalls, network intrusion detection systems. RESULTS: We describe a "Medical Science DMZ" concept as an option for secure, high-volume transport of large, sensitive data sets between research institutions over national research networks...
November 2016: Journal of the American Medical Informatics Association: JAMIA
Daniel Racoceanu, Frédérique Capron
Being able to provide a traceable and dynamic second opinion has become an ethical priority for patients and health care professionals in modern computer-aided medicine. In this perspective, a semantic cognitive virtual microscopy approach has been recently initiated, the MICO project, by focusing on cognitive digital pathology. This approach supports the elaboration of pathology-compliant daily protocols dedicated to breast cancer grading, in particular mitotic counts and nuclear atypia. A proof of concept has thus been elaborated, and an extension of these approaches is now underway in a collaborative digital pathology framework, the FlexMIm project...
2016: Pathobiology: Journal of Immunopathology, Molecular and Cellular Biology
Bernd Schmeck, Wilhelm Bertrams, Xin Lai, Julio Vera
Lung diseases cause an enormous socioeconomic burden. Four of them are among the ten most important causes of deaths worldwide: Pneumonia has the highest death toll of all infectious diseases, lung cancer kills the most people of all malignant proliferative disorders, chronic obstructive pulmonary disease (COPD) ranks third in mortality among the chronic noncommunicable diseases, and tuberculosis is still one of the most important chronic infectious diseases. Despite all efforts, for example, by the World Health Organization and clinical and experimental researchers, these diseases are still highly prevalent and harmful...
2016: Methods in Molecular Biology
Mohamed Adel Serhani, Mohamed El Menshawy, Abdelghani Benharref
Monitoring life-long diseases requires continuous measurements and recording of physical vital signs. Most of these diseases are manifested through unexpected and non-uniform occurrences and behaviors. It is impractical to keep patients in hospitals, health-care institutions, or even at home for long periods of time. Monitoring solutions based on smartphones combined with mobile sensors and wireless communication technologies are a potential candidate to support complete mobility-freedom, not only for patients, but also for physicians...
January 1, 2016: Computers in Biology and Medicine
Dimitrios Triantafyllopoulos, Panagiotis Korvesis, Iosif Mporas, Vasileios Megalooikonomou
New generation of healthcare is represented by wearable health monitoring systems, which provide real-time monitoring of patient's physiological parameters. It is expected that continuous ambulatory monitoring of vital signals will improve treatment of patients and enable proactive personal health management. In this paper, we present the implementation of a multimodal real-time system for epilepsy management. The proposed methodology is based on a data streaming architecture and efficient management of a big flow of physiological parameters...
March 2016: Journal of Medical Systems
Emna Mezghani, Ernesto Exposito, Khalil Drira, Marcos Da Silveira, Cédric Pruski
Advances supported by emerging wearable technologies in healthcare promise patients a provision of high quality of care. Wearable computing systems represent one of the most thrust areas used to transform traditional healthcare systems into active systems able to continuously monitor and control the patients' health in order to manage their care at an early stage. However, their proliferation creates challenges related to data management and integration. The diversity and variety of wearable data related to healthcare, their huge volume and their distribution make data processing and analytics more difficult...
December 2015: Journal of Medical Systems
Stathis Th Konstantinidis, Per Egil Kummervold, Luis Fernandez Luque, Lars Kristian Vognild
In the era of social media, semantic web and big data, a huge amount of health-related information, knowledge and resources exist on the Web. Patients and healthcare professionals should spend enormous effort and time in order to find health-trusted information, while the appropriate technologies to interlink and retrieve this type of information already exist. In this paper we propose a framework to enrich DIPS, the most deployed Norwegian EHR System, with health-trusted information for patients and state-of-the-art resources for healthcare professionals...
2015: Studies in Health Technology and Informatics
V Koutkias, F Thiessard
OBJECTIVES: To select best papers published in 2013 in the field of big data and smart health strategies, and summarize outstanding research efforts. METHODS: A systematic search was performed using two major bibliographic databases for relevant journal papers. The references obtained were reviewed in a two-stage process, starting with a blinded review performed by the two section editors, and followed by a peer review process operated by external reviewers recognized as experts in the field...
August 15, 2014: Yearbook of Medical Informatics
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"