Enriching the international clinical nomenclature with Chinese daily used synonyms and concept recognition in physician notes

Zhang, Rui; Liu, Jialin; Huang, Yong; Wang, Miye; Shi, Qingke; Zeng, Ziyue

doi:10.1186/s12911-017-0455-z

Cited by 5 publications

(4 citation statements)

References 36 publications

(40 reference statements)

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“…33 However, previous translation of SNOMED-CT had been insufficient without the collection of terminology synonyms, since physicians did not follow the precise expressions in terminologies. 34 In contrast, local terminology datasets in China showed its ability to cover 74.8% of commonly terms used within EHRs. 35 Therefore, the recommendations to collect local terminology is particularly important to increase the clinical applicability of current terminology standards.…”

Section: Discussionmentioning

confidence: 98%

“…Thus, researchers believed that the localisation and implementation of a comprehensive international terminology standard such as SNOMED-CT within EHRs could help represent clinically relevant information comprehensively in China 33. However, previous translation of SNOMED-CT had been insufficient without the collection of terminology synonyms, since physicians did not follow the precise expressions in terminologies 34. In contrast, local terminology datasets in China showed its ability to cover 74.8% of commonly terms used within EHRs 35.…”

Section: Discussionmentioning

confidence: 99%

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Existing barriers and recommendations of real-world data standardisation for clinical research in China: a qualitative study

et al. 2022

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ObjectiveTo investigate the existing barriers and recommendations of real-world data (RWD) standardisation for clinical research through a qualitative study on different stakeholders.DesignThis qualitative study involved five types of stakeholders based on five interview outlines. The data analysis was performed using the constructivist grounded theory analysis process.SettingEight hospitals, four hospital system vendors, three big data companies, six medical products companies and four regulatory institutions were included.ParticipantsIn total, 62 participants from 25 institutions were interviewed through purposive sampling.ResultsThe findings showed that the lack of clinical applicability in existing terminology standards, lack of generalisability in existing research databases, and lack of transparency in existing data standardisation process were the barriers of data standardisation of RWD for clinical research. Enhancing terminology standards by incorporating locally used clinical terminology, reducing burden in the usage of terminology standards, improving generalisability of RWD for research by using clinical data models, and improving traceability to source data for transparency might be feasible suggestions for solving the current problems.ConclusionsEfficient and reliable data standardisation of RWD for clinical research can help generate better evidence used to support regulatory evaluation of medical products. This research suggested enhancing terminology standards by incorporating locally used clinical terminology, reducing burden in the usage of terminology standards, improving generalisability of RWD for research by using clinical data models, and improving traceability to source data for transparency to guide efforts in data standardisation in the future.

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Section: Discussionmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 99%

Existing barriers and recommendations of real-world data standardisation for clinical research in China: a qualitative study

et al. 2022

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“…SNOMED CT is a comprehensive clinical health terminology as a common global language for health terms [29]. Chinese version of SNOMED International was translated more than 20 years ago [30]. Although its electronic version is seldom used, we can create the mapping for future needs.…”

Section: Discussionmentioning

confidence: 99%

Development of an Open Metadata Schema for Clinical Pathway (openCP) in China

Xu¹,

Zhu²,

Geng³

2018

Methods Inf Med

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Summary Background: By the end of the first quarter of 2017, 1212 standard Clinical Pathways (CPs) had been developed and implemented in China since 2009, however, Chinese standard CPs are still paper-based CPs. Objectives: To optimize the data structure and content of Chinese standard CPs based on Chinese health standards by two-level modeling approach and archetype method, and develop an Open Metadata Schema for Clinical Pathway (openCP) in China. Methods: We chose 43 diseases covering 7 departments of internal medicine as samples and source materials including Respiratory, Gastroenterology, Neurology, Cardiology, Nephrology, Endocrinology, and Hematology, and we followed 4 steps to develop openCP: identify reference model of openCP; develop archetype models; standardize archetype terms and metadata; and evaluate its functionality. Results: We have built hierarchical reference model and archetypes of openCP, created and standardized archetype terms and metadata, and evaluate the functionality of openCP. The qualitative comments from 5 doctors were inspiring. Discussion and Conclusions: Medical staff may easily build localized CPs in openCP which can be integrated into EHR systems and shared among different hospitals and clinics.

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“…e.g. Spasić et al 2013;Carroll, Koeling, and Puri 2012;Doing-Harris, Livnat, and Meystre 2015;Zhang et al 2017 for state-of-the-art systems).…”

Section: Related Researchmentioning

confidence: 99%

Leveraging Sublanguage Features for the Semantic Categorization of Clinical Terms

Grön

Bertels²,

Heylen³

2019

Proceedings of the 18th BioNLP Workshop and Shared Task

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The automatic processing of clinical documents, such as Electronic Health Records (EHRs), could benefit substantially from the enrichment of medical terminologies with terms encountered in clinical practice. To integrate such terms into existing knowledge sources, they must be linked to corresponding concepts. We present a method for the semantic categorization of clinical terms based on their surface form. We find that features based on sublanguage properties can provide valuable cues for the classification of term variants. 2 https://uts.nlm.nih.gov/home.html

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Enriching the international clinical nomenclature with Chinese daily used synonyms and concept recognition in physician notes

Cited by 5 publications

References 36 publications

Existing barriers and recommendations of real-world data standardisation for clinical research in China: a qualitative study

Existing barriers and recommendations of real-world data standardisation for clinical research in China: a qualitative study

Development of an Open Metadata Schema for Clinical Pathway (openCP) in China

Leveraging Sublanguage Features for the Semantic Categorization of Clinical Terms

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