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Automation in Health Care
Published in Edward Y. Uechi, Business Automation and Its Effect on the Labor Force, 2023
Two international standards were established to ensure that health-related data can be read and interpreted by diverse organizations and systems. The World Health Organization (WHO) oversees development and adoption of the International Statistical Classification of Diseases and Related Health Problems (ICD) to provide systematic recording of mortality, morbidity, diseases, and other health-related data. This standard ensures interoperability and reusability of health data. As of 1 January 2022, the 11th revision (ICD-11) replaces the 10th revision (ICD-10). Health Level Seven International (HL7), a non-profit organization, established a framework and standards for the language, structure, and data types of health-related data to ensure that electronic health records can be integrated in different health information systems.
Big Data in Critical Care Using Artemis
Published in Ervin Sejdić, Tiago H. Falk, Signal Processing and Machine Learning for Biomedical Big Data, 2018
As a result of the array of medical devices available on the market and the different combinations of connectivity options provisioned by each device, a range of data transmission protocols have been proposed and utilised. Health Level Seven (HL7) provides “a framework and related standards for the exchange, integration, sharing, and retrieval of electronic health information” (http://www.hl7.org). Within the context of streaming data, HL7 can be utilised to package streaming data tuples for transmission to a remote clinical decision support system providing Health Analytics-as-a-Service. An example of the encoding of physiological data within an HL7 packet is presented in Figure 26.1 [18]. A series of physiological data values for a given second are packaged within the HL7 packet.
Information and Communication Technology
Published in Mohammad Razani, Information, Communication, and Space Technology, 2017
To bring an end to such undesirable practice, there have been some efforts to introduce a uniform standard that everyone can adopt and implement with their system regardless of their existing system. In August 2007, a collaborative-Health standards harmonization group was formed between the European Committee for Standardization (CEN), the International Organization for Standardization (ISO), and Health Level 7 (HL7). Health Level 7 is the standard language for the electronic interchanges of clinical, financial, and administration information between health-care-oriented computer systems. In other words, HL7 acts as the standard for interoperability of health information technology. Software such as Iguana could be used alongside different existing systems as an interpreter, once it is integrated into these systems.
Research challenges and future directions towards medical data processing
Published in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2022
Anusha Ampavathi, Vijaya Saradhi T
This architecture represents the flow among clients, cloud service providers and transaction between data storage systems. There are two communications present here, which are from client to cloud service provider and the secured transaction among cloud service provider and data storage models. Some of the examples of medical data storage systems are ‘Health Level Seven International (HL7I), National Electrical Manufacturers Association (NEMA), Fast Healthcare Interoperable Resource (FHIR), Integrating the Healthcare Enterprise (IHE), Health Information Systems (HIS), American College of Radiology (ACR), Electronic medical records (EMR)’ etc. Among these, HL7 is a famous and most widely employed standard in the healthcare models. It ensures secure storage and data transmission of medical data, institutions, systems and units.
Interoperability enablers for cyber-physical enterprise systems
Published in Enterprise Information Systems, 2020
Ricardo Jardim-Goncalves, David Romero, Diogo Goncalves, João Pedro Mendonça
This research was developed in the scope of the SMARTool project, developing a novel cloud-based platform for the management of CAD from the patient risk stratification using non-imaging data to CDSS for diagnosis, prognosis and disease treatment. The platform integrates several interoperability standards as well as cyber-physical systems, including algorithms and software for the analysis of CTCA imaging and points of care devices (PoC) for capturing the monocytes and the I-CAM1 molecule in blood samples. The SMARTool platform is achieved by a unified and comprehensive solution, using information from cyber-physical systems integrated into a CDSS for risk stratification, diagnosis, prognosis and treatment. The design and the development of the platform were based on European and International standards to guarantee the privacy of any sensitive data handling, in particular the EU General Data Protection Regulation (GDPR). To acquire data from diverse data sources, the system provides a specific HL7 compliant integration layer using clinical data semantics.
Distributed electronic health record based on semantic interoperability using fuzzy ontology: a survey
Published in International Journal of Computers and Applications, 2018
Ebtsam Adel, Shaker El-Sappagh, Sherif Barakat, Mohammed Elmogy
HL7 is an American National Standards Institute ‘ANSI’ accredited standards protocol for exchanging the electronic data in the environments of healthcare. It and its group members are considered the most commonly used in the world. These standards focus on the seventh level in Open System Interconnection ‘OSI’ model ‘Application layer.’ HL7 can improve care delivery, reduce ambiguity, optimize workflow, and perfect transferring of the knowledge between all of the stakeholders [26]. HL7 CDA (Clinical Document Architecture) is one of the HL7 members. It’s used for transferring rich, detailed, and unambiguous clinical documents over the barriers of different software applications and islands. It can include text, sounds, images, and many other multimedia contents [20].