Information Technology Data Standards in Cardiology What, Why, and How Come

2016 ◽  
Vol 10 (1) ◽  
pp. 43
Author(s):  
H Vernon Anderson ◽  
Keyword(s):  
Information Technology ◽  
Health Information ◽  
Computer Technology ◽  
Building Blocks ◽  
Information Network ◽  
Data Standards ◽  
Professional Societies ◽  
Technical Specifications ◽  
Uniform Manner ◽  
Data Elements

Computers are the necessary substrate for everything that occurs in cardiology and all of medicine, yet computer technology has been implemented in a piecemeal manner. Multiple single solutions have been introduced to solve individual problems, with no coherent planning for integration and communication across all the multiple computer platforms. Data and data elements are the building blocks of what we call information. In order to maximally utilize the enormous capacities that computers offer in handling information, the data elements must be precisely defined and stored in computers in a uniform manner. This requires data standards. In cardiology, national professional societies led by the American College of Cardiology are developing data standards along with necessary technical specifications that will help achieve the desired goal of a fully interoperable health information network.

A Model for the National Mental Health Information Network

2021 ◽  
Author(s):  
Reza Rabiei ◽  
Farkhonde Aasdi ◽  
Hamid Moghaddasi ◽  
Mahdie Shojaei Baghini
Keyword(s):  
Mental Health ◽  
Health Information ◽  
Accurate Information ◽  
Information Network ◽  
Second Phase ◽  
Five Dimensions ◽  
Mental Health Information ◽  
Architectural Model ◽  
National Mental Health ◽  
Data Elements

Aim: Accurate information can be accessed in a timely manner through the Integrated Mental Health Information Network (MHIN). As Iran has no MHIN, this study was undertaken to propose an architectural model.  Method: This research is a sequential mixed method. The organizational structure and database structure of the MHIN was identified, and the architectural model of the NMHIN was presented in two main phases. In the first phase, a quantitative study was conducted in a scoping review with an extensive review of the background, documents, information, and available resources about the mental health information network. In the second phase, to validate the proposed architecture, the Delphi technique was implemented. Questionnaires were distributed and collected both in person and by e-mail, and finally, the data were analyzed using SPSS-19. Results: The model of national MHIN was provided in five dimensions: MH entities, organizational ownership of databases, data elements of each database, linkage among databases, and exchangeable data elements among the databases. Conclusion: This model can be applied as a suitable platform to effectively and efficiently store and use mental health information. So, the available information can be used for providing mental health services more comfortably and appropriately. The results showed that connecting mental health entities can create a flow of information, coordinate MHIN activities, and improve performance, efficiency, and quality of mental health.

A Model for the National Mental Health Information Network

2021 ◽  
Author(s):  
Reza Rabiei ◽  
Farkhonde Aasdi ◽  
Hamid Moghaddasi ◽  
Mahdie Shojaei Baghini
Keyword(s):  
Mental Health ◽  
Health Information ◽  
Accurate Information ◽  
Information Network ◽  
Second Phase ◽  
Five Dimensions ◽  
Mental Health Information ◽  
Architectural Model ◽  
National Mental Health ◽  
Data Elements

Aim: Accurate information can be accessed in a timely manner through the Integrated Mental Health Information Network (MHIN). As Iran has no MHIN, this study was undertaken to propose an architectural model.  Method: This research is a sequential mixed method. The organizational structure and database structure of the MHIN was identified, and the architectural model of the NMHIN was presented in two main phases. In the first phase, a quantitative study was conducted in a scoping review with an extensive review of the background, documents, information, and available resources about the mental health information network. In the second phase, to validate the proposed architecture, the Delphi technique was implemented. Questionnaires were distributed and collected both in person and by e-mail, and finally, the data were analyzed using SPSS-19. Results: The model of national MHIN was provided in five dimensions: MH entities, organizational ownership of databases, data elements of each database, linkage among databases, and exchangeable data elements among the databases. Conclusion: This model can be applied as a suitable platform to effectively and efficiently store and use mental health information. So, the available information can be used for providing mental health services more comfortably and appropriately. The results showed that connecting mental health entities can create a flow of information, coordinate MHIN activities, and improve performance, efficiency, and quality of mental health.

scholarly journals Evaluating and classifying the readiness of technology specifications for national standardization

2015 ◽  
Vol 22 (3) ◽  
pp. 738-743 ◽  
Author(s):  
Dixie B Baker ◽  
Jonathan B Perlin ◽  
John Halamka
Keyword(s):  
Information Technology ◽  
Electronic Health Record ◽  
Health Information Technology ◽  
Health Information ◽  
Healthcare Quality ◽  
Meaningful Use ◽  
Information Network ◽  
Health Record ◽  
Technology Standards ◽  
Technical Standards

Abstract The American Recovery and Reinvestment Act (ARRA) of 2009 clearly articulated the central role that health information technology (HIT) standards would play in improving healthcare quality, safety, and efficiency through the meaningful use of certified, standards based, electronic health record (EHR) technology. In 2012, the Office of the National Coordinator (ONC) asked the Nationwide Health Information Network (NwHIN) Power Team of the Health Information Technology Standards Committee (HITSC) to develop comprehensive, objective, and, to the extent practical, quantitative criteria for evaluating technical standards and implementation specifications and classifying their readiness for national adoption. The Power Team defined criteria, attributes, and metrics for evaluating and classifying technical standards and specifications as ‘emerging,’ ‘pilot,’ or ‘ready for national standardization’ based on their maturity and adoptability. The ONC and the HITSC are now using these metrics for assessing the readiness of technical standards for national adoption.

scholarly journals Sync for Genes: Making Clinical Genomics Available for Precision Medicine at the Point-of-Care

2020 ◽  
Vol 11 (02) ◽  
pp. 295-302
Author(s):  
Stephanie J. Garcia ◽  
Teresa Zayas-Cabán ◽  
Robert R. Freimuth
Keyword(s):  
Information Technology ◽  
Precision Medicine ◽  
Health Information Technology ◽  
Health Information ◽  
Point Of Care ◽  
Genomic Data ◽  
Health Data ◽  
Lessons Learned ◽  
Data Standards ◽  
Research Initiative

Abstract Background Making genomic data available at the point-of-care and for research is critical for the success of the Precision Medicine Initiative (PMI), a research initiative which seeks to change health care by “tak(ing) into account individual differences in people's genes, environments, and lifestyles.” The Office of the National Coordinator for Health Information Technology (ONC) led Sync for Genes, a program to develop standards that make genomic data available when and where it matters most. This article discusses lessons learned from recent Sync for Genes activities. Objectives The goals of Sync for Genes were to (1) demonstrate exchange of genomic data using health data standards, (2) provide feedback for refinement of health data standards, and (3) synthesize project experiences to support the integration of genomic data at the point-of-care and for research. Methods Four organizations participated in a program to test the Health Level Seven International (HL7®) Fast Healthcare Interoperability Resources (FHIR®) standard, which supports sharing genomic data. ONC provided access to subject matter experts, resources, tools, and technical guidance to support testing activities. Three of the four organizations participated in HL7 FHIR Connectathons to test FHIR's ability to exchange genomic diagnostic reports. Results The organizations successfully demonstrated exchange of genomic diagnostic reports using FHIR. The feedback and artifacts that resulted from these activities were shared with HL7 and made publicly available. Four areas were identified as important considerations for similar projects: (1) FHIR proficiency, (2) developer support, (3) project scope, and (4) bridging health information technology and genomic expertise. Conclusion Precision medicine is a rapidly evolving field, and there is opportunity to continue maturing health data standards for the exchange of necessary genomic data, increasing the likelihood that the standard supports the needs of users.

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