Coherent SNOMED CT Implementation Facilitating Re-use of Data

Højen, Anne Randorff

doi:10.13052/rp-9788793102835

Cited by 5 publications

(10 citation statements)

References 13 publications

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“…There is still much work ahead to bring SCT into routine clinical use. Many studies propose mapping guidelines as a way to ensure consistent mapping procedures (Højen and Gøeg, 2012). Moreover, Lee et al (2010) proposed an encoding methodology for EHR data by SCT.…”

Section: Related Workmentioning

confidence: 99%

“…However, Lee et al (2010) found overlaps between ''clinical finding" and ''morphologic abnormality" hierarchies, when mapping a palliative care dataset. Højen and Gøeg (2012) suggested a set of guidelines for consistent coding using SCT. However, Rasmussen and Rosenbeck (2011) concluded that local guidelines cannot handle the inconsistency usage of terminology between organizations.…”

Section: Ehr Data Encoding Optionsmentioning

confidence: 99%

“…(4) Consistency is checked when selecting the correct hierarchies and the correct concepts in these hierarchies (Højen and Gøeg, 2012). (5) Appropriateness check for the type of the found concepts, which is done as there are 19 types of concepts in SCT.…”

Section: Coding Rulesmentioning

confidence: 99%

“…The structured data facilitate the coding process because it is easier to find the mapping between structured data and terminology codes compared with raw or unstructured text. For semantic retrieval purpose in CBR system and the semantic interoperability of collected data from distributed EHR systems, a standard terminology is needed to encode case-based knowledge (Højen and Gøeg, 2012). The usage of unique identifiers and the conceptual structure for each concept in a medical terminology system allow an unambiguous interpretation of the concept meaning across systems.…”

Section: Introductionmentioning

confidence: 99%

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An encoding methodology for medical knowledge using SNOMED CT ontology

El–Sappagh

Elmogy

2016

Journal of King Saud University - Computer and Information Scie

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Knowledge-Intensive Case Based Reasoning (KI-CBR) systems mainly depend on ontology. Using ontology as domain knowledge supports the implementation of semanticallyintelligent case retrieval algorithms. The case-based knowledge must be encoded with the same concepts of the domain ontology. Standard medical ontologies, such as SNOMED CT (SCT), can play the role of domain ontology to enhance case representation and retrieval. This study has three stages. First, we propose an encoding methodology using SCT. Second, this methodology is used to encode the case-based knowledge. Third, all the used SCT concepts are collected in a reference set, and an OWL2 ontology of 550 pre-coordinated concepts is proposed. A diabetes diagnosis is chosen as a case study of our proposed framework. SCT is used to provide a pre-coordination concept coverage of $75% for diabetes diagnosis terms. Whereas, the uncovered concepts in SCT are proposed. The resulting OWL2 ontology will be used as domain knowledge representation in diabetes diagnosis CBR systems. The proposed framework is tested by using 60 real cases. Ó 2015 The Authors. Production and hosting by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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Section: Related Workmentioning

confidence: 99%

Section: Ehr Data Encoding Optionsmentioning

confidence: 99%

Section: Coding Rulesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An encoding methodology for medical knowledge using SNOMED CT ontology

El–Sappagh

Elmogy

2016

Journal of King Saud University - Computer and Information Scie

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“…The interface terminology consisted of the terms found on the user interfaces in the EHR-systems. The mapping was performed while formulating a set of guidelines to ensure consistent mapping [40]. This meant that even though there were two coders, no inter-rater agreement score could be calculated.…”

Section: Snomed Ct Representation Of Templatesmentioning

confidence: 99%

Clustering clinical models from local electronic health records based on semantic similarity

Gøeg

Cornet

Andersen

2015

Journal of Biomedical Informatics

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Individual and contextual factors in the Swedish Nutrition Care Process Terminology implementation

Lövestam

Orrevall

Boström

2022

HIM J

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Background Standardised terminologies and classification systems play an increasingly important role in the continuous work towards high quality patient care. Currently, a standardised terminology for nutrition care, the Nutrition Care Process (NCP) Terminology (NCPT), is being implemented across the world, with terms for four steps: Nutrition Assessment (NA), Nutrition Diagnosis (ND), Nutrition Intervention (NI) and Nutrition Monitoring and Evaluation (NME). Objective To explore associations between individual and contextual factors and implementation of a standardised NCPT among Swedish dietitians. Method A survey was completed by 226 dietitians, focussing on: (a) NCPT implementation level; (b) individual factors; and (c) contextual factors. Associations between these factors were explored through a two-block logistic regression analysis. Results Contextual factors such as intention from management to implement the NCPT (OR (odds ratio) ND 15.0, 95% Confidence Interval (CI) 3.9–57.4, NME 3.7, 95% CI 1.1–13.0) and electronic health record (EHR) headings from the NCPT (OR NI 3.6, 95% CI 1.4–10.7, NME 3.8, 95% CI 1.1–11.5) were associated with higher implementation. A positive attitude towards the NCPT (model 1 OR ND 3.8, 95% CI 1.5–9.8, model 2 OR ND 5.0, 95% CI 1.4–17.8) was also associated with higher implementation, while other individual factors showed less association. Conclusion Contextual factors such as intention from management, EHR structure, and pre-defined terms and headings are key to implementation of a standardised terminology for nutrition and dietetic care. Implications for practice Clinical leadership and technological solutions should be considered key areas in future NCPT implementation strategies.

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Coherent SNOMED CT Implementation Facilitating Re-use of Data

Cited by 5 publications

References 13 publications

An encoding methodology for medical knowledge using SNOMED CT ontology

An encoding methodology for medical knowledge using SNOMED CT ontology

Clustering clinical models from local electronic health records based on semantic similarity

Individual and contextual factors in the Swedish Nutrition Care Process Terminology implementation

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