Improving Quality of Electronic Health Records with SNOMED

Duarte, Júlio; Castro, Sara; Santos, Manuel Filipe; Abelha, António; Machado, José

doi:10.1016/j.protcy.2014.10.151

Cited by 19 publications

(12 citation statements)

References 10 publications

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“…The projection and implementation of a HIS should focus on ensuring the efficient production of information in order to provide clinical decision-making resources. Thus, this implementation requires the existence of a management structure whose specific function focuses on the adequate allocation of resources and the definition of organizational rules [14] [15]. In order to provide complete and useful resources, a HIS should also allow the extraction of clinical and management indicators as a way to improve not only decision-making, but also planning and logistics processes.…”

Section: Hospital Information Systemsmentioning

confidence: 99%

Improving Healthcare Delivery with New Interactive Visualization Methods

Neto

Ferreira

Abelha

et al. 2019

Advances in Intelligent Systems and Computing

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Over the last years, the implementation and evolution of computer resources in hospital institutions has been improving both the financial and temporal efficiency of clinical processes, as well as the security in the transmission and maintenance of their data, also ensuring the reduction of clinical risk. Diagnosis, treatment and prevention of human illness are some of the most information-intensive of all intellectual tasks. Health providers often do not have or cannot find the information they need to respond quickly and appropriately to patient's medical problems. Failure to review and follow up on patient's test results in a timely manner, for example, represents a patient's safety and malpractice concern. Therefore, it was sought to identify problems in a medical exams results management system and possible ways to improve this system in order to reduce both clinical risks and hospital costs. In this sense, a new medical exams visualization platform (AIDA-MCDT) was developed, specifically in the Hospital Center of Porto (CHP), with several new functionalities in order to make this process faster, intuitive and efficient, always guaranteeing the confidentiality and protection of patients' personal data and significantly improving the usability of the system, leading to a better health care delivery.

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Section: Hospital Information Systemsmentioning

confidence: 99%

Improving Healthcare Delivery with New Interactive Visualization Methods

Neto

Ferreira

Abelha

et al. 2019

Advances in Intelligent Systems and Computing

Self Cite

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“…It also highly promotes semantic interoperability in healthcare information systems 26 27 28 . Its standardized logical structure and its wide acceptation make it more appropriate for high-level information exchange at national and also international levels 26 27 28 . SNOMED-CT not only supports pre-coordination and post-coordination but it also includes several descriptions that can be used as an “entry terminology”.…”

Section: Snomed-ct As a Clinical Reference Terminologymentioning

confidence: 99%

“…ICD-10 cross mapping has also been developed. These mappings provide the aggregate terminology features to SNOMED-CT 26 .…”

Section: Snomed-ct As a Clinical Reference Terminologymentioning

confidence: 99%

Terminology Services: Standard Terminologies to Control Health Vocabulary

2018

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Healthcare Information Systems should capture clinical data in a structured and preferably coded format. This is crucial for data exchange between health information systems, epidemiological analysis, quality and research, clinical decision support systems, administrative functions, among others. Structured data entry is an obstacle for the usability of electronic health record (EHR) applications and their acceptance by physicians who prefer to document patient EHRs using "free text". Natural language allows for rich expressiveness but at the same time is ambiguous; it has great dependence on context and uses jargon and acronyms. Although much progress has been made in knowledge and natural language processing techniques, the result is not yet satisfactory enough for the use of free text in all dimensions of clinical documentation. In order to address the trade-off between capturing data with free text and at the same time coding data for computer processing, numerous terminological systems for the systematic recording of clinical data have been developed. The purpose of terminology services consists of representing facts that happen in the real world through database management in order to allow for semantic interoperability and computerized applications. These systems interrelate concepts of a particular domain and provide references to related terms with standards codes. In this way, standard terminologies allow the creation of a controlled medical vocabulary, making terminology services a fundamental component for health data management in the healthcare environment. The Hospital Italiano de Buenos Aires has been working in the development of its own terminology server. This work describes its experience in the field.

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“…SNOMED CT provides a unified language, it may be used as a standard for communication among healthcare providers. It also highly promotes to semantic interoperability in healthcare information systems [44][45][46]. Its standardized logical structure and its wide acceptation make it more appropriate for high-level information exchange at national and also international levels [44][45][46].…”

Section: Snomed Ct As Clinical Reference Terminologymentioning

confidence: 99%

Terminology Services: Standard Terminologies to Control Medical Vocabulary. “Words are Not What they Say but What they Mean”

Luna¹,

Otero²,

Gambarte³

et al. 2018

eHealth - Making Health Care Smarter

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Data entry is an obstacle for the usability of electronic health records (EHR) applications and the acceptance of physicians, who prefer to document using "free text". Natural language is huge and very rich in details but at the same time is ambiguous; it has great dependence on context and uses jargon and acronyms. Healthcare Information Systems should capture clinical data in a structured and preferably coded format. This is crucial for data exchange between health information systems, epidemiological analysis, quality and research, clinical decision support systems, administrative functions, etc. In order to address this point, numerous terminological systems for the systematic recording of clinical data have been developed. These systems interrelate concepts of a particular domain and provide reference to related terms and possible definitions and codes. The purpose of terminology services consists of representing facts that happen in the real world through database management. This process is named Semantic Interoperability. It implies that different systems understand the information they are processing through the use of codes of clinical terminologies. Standard terminologies allow controlling medical vocabulary. But how do we do this? What do we need? Terminology services are a fundamental piece for health data management in health environment.

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Improving Quality of Electronic Health Records with SNOMED

Cited by 19 publications

References 10 publications

Improving Healthcare Delivery with New Interactive Visualization Methods

Improving Healthcare Delivery with New Interactive Visualization Methods

Terminology Services: Standard Terminologies to Control Health Vocabulary

Terminology Services: Standard Terminologies to Control Medical Vocabulary. “Words are Not What they Say but What they Mean”

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