Information technology. Specification and standardization of data elements

1997 ◽  
Keyword(s):  
Information Technology ◽  
Data Elements

Abstract TP393: Information Technology to Measure and Drive Outcomes for Acute Ischemic Stroke Patients

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Kellie Brendle ◽  
Hao Zhang ◽  
Michelle Turner ◽  
Derek Holder ◽  
Kwan Ng
Keyword(s):  
Information Technology ◽  
Data Collection ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Formal System ◽  
Transitions Of Care ◽  
Treatment Regimens ◽  
It Department ◽  
Data Elements ◽  
Get With The Guidelines

Background: The stroke program did not have a formal system to gather data elements needed for driving processes and measuring outcomes. Abstracting data was done by manually auditing every stroke electronic medical record. Purpose: The purpose was to use technology: To collect data for baseline and benchmarking patient demographics and outcomes. To communicate and educate healthcare professionals and improve processes. Methods: Based on the AHA/ASA Get with the Guidelines (GWTG). We identified and abstracted data from discrete fields in the electronic medical record (EMR). Using Clarity the Information Technology (IT) department built discrete fields in EMR to capture 23 missing fields for GWTG. Manual concurrent review and monthly clarity reports were completed. This data was used retrospectively for benchmarking and prospectively for telemedicine and transition of care follow-up. Results: To keep in alignment with AHA/ASA guidelines for GWTG data collection on the 48 GWTG discrete fields 43 are now automated. Random chart review is completed to validate data abstraction. We now have completed demographic and outcomes data on over 600 patients. Conclusions: In conclusion, the use of IT is a reliable and valid way of abstracting GWTG AIS data to provide benchmarking and process improvement. This IT process facilitates clinical data collection, transmission and communication between providers, enabling modification of treatment regimens and transitions of care.

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.

scholarly journals Push Button Population Health: The SMART/HL7 FHIR Bulk Data Access Application Programming Interface

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Kenneth D. Mandl ◽  
Daniel Gottlieb ◽  
Joshua C. Mandel ◽  
Vladimir Ignatov ◽  
Raheel Sayeed ◽  
...  
Keyword(s):  
Information Technology ◽  
Application Programming Interface ◽  
Data Access ◽  
Push Button ◽  
Hl7 Fhir ◽  
Bulk Data ◽  
Application Programming ◽  
Data Elements ◽  
21St Century Cures Act ◽  
Programming Interface

AbstractThe 21st Century Cures Act requires that certified health information technology have an application programming interface (API) giving access to all data elements of a patient’s electronic health record, “without special effort”. In the spring of 2020, the Office of the National Coordinator of Health Information Technology (ONC) published a rule—21st Century Cures Act Interoperability, Information Blocking, and the ONC Health IT Certification Program—regulating the API requirement along with protections against information blocking. The rule specifies the SMART/HL7 FHIR Bulk Data Access API, which enables access to patient-level data across a patient population, supporting myriad use cases across healthcare, research, and public health ecosystems. The API enables “push button population health” in that core data elements can readily and standardly be extracted from electronic health records, enabling local, regional, and national-scale data-driven innovation.

scholarly journals A Semantic Data Model: Meaning Making from Data Structures in the SQL Server

2018 ◽  
Vol 4 (2) ◽  
pp. 106
Author(s):  
Sanjay Ramesh ◽  
Anthony Henderson
Keyword(s):  
Information Technology ◽  
Meaning Making ◽  
Design Method ◽  
Sql Server ◽  
Data Sets ◽  
Semantic Data ◽  
Data Framework ◽  
Definition Of ◽  
Data Elements ◽  
Semantic Data Model

Information systems designs are increasingly concerned with entity relationships and technical programmatic approaches to solutions architecture as opposed to semantic based, business focused information architecture that places business definitions at the centre of the information system design and implementation. The disconnect between information technology and business is perpetuated by an overly prescriptive information technology technical design method that fails to incorporate qualitative and normative aspects of business, where information is structured and delivered according to business. The paper will discuss various decision support and semantic approaches to information design and delivery and argue that the traditional modes of solution delivery do not include meaning making of the data elements which are essential to business information reporting and analytics. The meaning making aspect identified is linked to data dictionary or business data glossary that allows for the discovery of semantic meaning from the SQL Server. Using Christian Fürber’s methodology on semantic programming, the analytics team developed a semantic model that enabled detailed definition of fields and the discovery of information using semantic search functionality embedded in the SQL Server. The project provided semantic data framework that provided business with the capability for semantic reconciliation and data sets that were further integrated with Tableau visualization and SQL auto processes.

scholarly journals ІНФОРМАЦІЙНА ТЕХНОЛОГІЯ ОЦІНЮВАННЯ І ЗАБЕЗПЕЧЕННЯ ГАРАНТОЗДАТНОСТІ МЕДИЧНИХ ІоТ СИСТЕМ

2019 ◽  
pp. 48-54
Author(s):  
Анастасія Андріївна Стрєлкіна
Keyword(s):  
Information Technology ◽  
Internet Of Things ◽  
Healthcare Systems ◽  
The Internet ◽  
Synthesis Design ◽  
New Concepts ◽  
Functional Scheme ◽  
Definition Of ◽  
Data Elements ◽  
The Internet Of Things

Healthcare systems operating in the Internet of things are becoming more widespread and their impact is predicted to only increase. However, new concepts and applications of the latest technologies carry some risks, including the failure of end-user devices, infrastructure, which in turn can lead to the worst outcome. In this regard, the problems of evaluation and assurance when using this technology are increasing. The object of research and analysis in this work is a medical system that operates on the Internet of Things. The purpose of this study is to describe and develop the structure and functional scheme of information technology (IT) dependability assessment and providing of healthcare systems based on the Internet of Things, which is based on models, methods and procedures for evaluation and assurance and formalized design methods that contain such stages of synthesis design decisions: model selection, method selection, problem solving and decision making. The process of the information technology creating consists of such steps as determining: the basic processes that occur when evaluating and ensuring the security of medical IoT systems; input data; source data; elements of mechanisms; controls. The developed structure of information technology consists of the following processes: formation of requirements for the warranty of medical IoT systems; identifying components of medical IoT systems that are susceptible to failure and cyberattack; determination of indicators of availability of medical IoT systems; definition of indicators of functionality of healthcare devices; selection of countermeasures to protect the healthcare IoT system against cyberattacks; case-oriented assessment of cybersecurity of healthcare IoT systems. As a result, this paper provides an IDEF0 diagram of the information technology of dependability assessment and providing healthcare systems based on the Internet of Things. The basic stages of the implementation of the developed information technology are also presented.

Business: The Electronic Health Record: Front Line Experience

2011 ◽  
Vol 21 (1) ◽  
pp. 18-22
Author(s):  
Rosemary Griffin
Keyword(s):  
Health Care ◽  
Information Technology ◽  
Electronic Health Record ◽  
Financial Incentives ◽  
Best Practice ◽  
Health Care Systems ◽  
The United States ◽  
Health Record ◽  
Health Trends ◽  
Electronic Health

National legislation is in place to facilitate reform of the United States health care industry. The Health Care Information Technology and Clinical Health Act (HITECH) offers financial incentives to hospitals, physicians, and individual providers to establish an electronic health record that ultimately will link with the health information technology of other health care systems and providers. The information collected will facilitate patient safety, promote best practice, and track health trends such as smoking and childhood obesity.

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