Principles of Health Interoperability HL7 and SNOMED

Benson, Tim

doi:10.1007/978-1-4471-2801-4

Cited by 191 publications

(224 citation statements)

References 1 publication

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“…The International Health Terminology Standards Development Organization [48] is a non-profit organization that acquired the intellectual property rights to SNOMED-CT clinical terminology database in 2007 [1]. The primary goal of IHTSDO is to develop, maintain, and promote the adoption and correct use of SNOMED-CT in the healthcare sector [49].…”

Section: International Health Terminology Standards Development Organmentioning

confidence: 99%

“…HL7's 35 international affiliates are mainly from developed nations in Europe, United States and Asian countries, with none from Africa [57]. HL7 standards are developed by volunteers in various working groups, under the stewardship of the technical steering committee [1]. It collaborates with other SDOs, including ISO, CEN, ASTM International, NEMA and IHTSDO [58].…”

Section: Health Level Sevenmentioning

confidence: 99%

“…They also specify the acknowledgements that should be sent by the recipient of a 'message', as well as the warnings that should be generated when the 'message' has not be delivered or if it is declined [7]. HL7 version 2 messaging standard [90] is the most common way of exchanging healthcare information worldwide [1]. IHE has developed a number of IT infrastructure profiles that address information sharing; these profiles define how lower level standards, including internet and general ICT standards should be configured in order to achieve e-health interoperability.…”

Section: Classification Scheme For E-health Interoperability Standardsmentioning

confidence: 99%

“…The healthcare domain is highly transaction-intensive and requires interactions between the multidisciplinary team of healthcare professionals, the subject of care or patient, administration personnel, medical insurers, suppliers and other stakeholders [1] [2] [3]. Quality healthcare requires effective collaboration and the ability to communicate essential information between and among all the stakeholders in order to facilitate continuity of care [4].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Review of Interoperability Standards in E-health and Imperatives for their Adoption in Africa

Adebesin¹,

Foster²,

Kotzé³

et al. 2013

SACJ

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The ability of healthcare information systems to share and exchange information (interoperate) is essential to facilitate the quality and effectiveness of healthcare services. Although standardization is considered key to addressing the fragmentation currently challenging the healthcare environment, e-health standardization can be difficult for many reasons, one of which is making sense of the e-health interoperability standards landscape. Specifically aimed at the African health informatics community, this paper aims to provide an overview of e-health interoperability and the significance of standardization in its achievement. We conducted a literature study of e-health standards, their development, and the degree of participation by African countries in the process. We also provide a review of a selection of prominent e-health interoperability standards that have been widely adopted especially by developed countries, look at some of the factors that affect their adoption in Africa, and provide an overview of ongoing global initiatives to address the identified barriers. Although the paper is specifically aimed at the African community, its findings would be equally applicable to many other developing countries.

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Section: International Health Terminology Standards Development Organmentioning

confidence: 99%

Section: Health Level Sevenmentioning

confidence: 99%

Section: Classification Scheme For E-health Interoperability Standardsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Review of Interoperability Standards in E-health and Imperatives for their Adoption in Africa

Adebesin¹,

Foster²,

Kotzé³

et al. 2013

SACJ

View full text Add to dashboard Cite

show abstract

“…Therefore, our study measured IR in structured routine documentation forms vs. free-text eligibility criteria to examine IR differences depending on both types of documentation. Regarding question 3) To code medical concepts of medical data elements or free text, one distinguishes two basic semantic coding methods, called pre-coordination and post-coordination [19]. A medical concept is pre-coordinated if its semantics is represented by one semantic code.…”

Section: Introductionmentioning

confidence: 99%

Online Information Infrastructure Increases Inter-Rater Reliability of Medical Coders: A Quasi-Experimental Study (Preprint)

Varghese¹,

Sandmann²,

Dugas³

2017

Preprint

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Background: Medical coding is essential for standardized communication and integration of clinical data. The Unified Medical Language System (UMLS) by the National Library of Medicine is the largest clinical terminology system for medical coders and natural language processing tools. However, abundance of ambiguous codes leads to low rates of uniform coding among different coders. Objective: To measure uniform coding among different medical experts in terms of inter-rater reliability (IR) and analyze the effect on IR by using an expert-based online code suggestion system. Methods: A quasi-experimental study was conducted. Six medical experts coded 602 medical items from structured quality assurance forms (QA) or free-text eligibility criteria (EC) of 20 different clinical trials. Medical item content was selected based on mortality-leading diseases according to WHO data. The intervention consisted of using a semi-automatic code suggestion tool that is linked to a European information infrastructure providing a large medical text corpus of more than 300,000 medical form items with expert-assigned semantic codes. Krippendorff's alpha (K alpha ) with bootstrap analysis was used for IR analysis and coding times were measured before and after intervention.

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An Inventory of Interoperability in Healthcare Ecosystems: Characterization and Challenges

Lamine¹,

Guédria²,

Soler³

et al. 2017

Enterprise Interoperability

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Principles of Health Interoperability HL7 and SNOMED

Cited by 191 publications

References 1 publication

A Review of Interoperability Standards in E-health and Imperatives for their Adoption in Africa

A Review of Interoperability Standards in E-health and Imperatives for their Adoption in Africa

Online Information Infrastructure Increases Inter-Rater Reliability of Medical Coders: A Quasi-Experimental Study (Preprint)

An Inventory of Interoperability in Healthcare Ecosystems: Characterization and Challenges

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