NPU, LOINC, and SNOMED CT: a comparison of terminologies for laboratory results reveals individual advantages and a lack of possibilities to encode interpretive comments

2018 ◽  
Vol 42 (6) ◽  
pp. 267-275 ◽  
Author(s):  
Andreas Bietenbeck ◽  
Martin Boeker ◽  
Stefan Schulz
Keyword(s):  
Data Exchange ◽  
Ease Of Use ◽  
Complex Treatment ◽  
Snomed Ct ◽  
Multiple Stakeholders ◽  
Treatment Pathways ◽  
Numerical Result ◽  
Laboratory Results ◽  
Implicit Code ◽  
Crucial Part

Abstract Background Terminologies facilitate data exchange and enable laboratories to assist in patient care even if complex treatment pathways involve multiple stakeholders. This paper examines the three common terminologies Nomenclature for Properties and Units (NPU), Logical Observation Identifiers Names and Codes (LOINC), and SNOMED Clinical Terms (SNOMED CT). Methods The potential of each terminology to encode five exemplary laboratory results is assessed. The terminologies are evaluated according to scope, correctness, formal representations, and ease of use. Results NPU is based on metrological concepts with strict rules regarding the coding of the measurand and the result value. Clinically equivalent results are regularly mapped to the same code but there is little support to differentiate results from non-standardized measurements. LOINC encodes analyses as offered by the laboratory. Its large number of entries allows different mappings for the same analysis. SNOMED CT contains few analyses natively, but its formal composition mechanism allows representing measurements by post-coordinated expressions that are equivalent to LOINC codes. SNOMED CT’s strength lies in its support of many non-numerical result values. Implicit code hierarchies exist in NPU and LOINC. SNOMED CT has explicit, elaborate axioms that elucidate the meaning of its content. Its complexity and its license conditions, however, impede a more widespread use. Interpretive comments, a crucial part of laboratory results, are still difficult to encode with any of the terminologies. Conclusions All three terminologies have distinct potentials and limitations, but the approximation of SNOMED CT and LOINC suggests using them together. Terminologies need to be expanded to also cover interpretive comments.

scholarly journals The German Corona Consensus Dataset (GECCO): A standardized dataset for COVID-19 research

2020 ◽  
Author(s):  
Julian Sass ◽  
Alexander Bartschke ◽  
Moritz Lehne ◽  
Andrea Essenwanger ◽  
Eugenia Rinaldi ◽  
...  
Keyword(s):  
Data Exchange ◽  
Professional Associations ◽  
Case Report Form ◽  
Snomed Ct ◽  
University Hospitals ◽  
Research Activity ◽  
Response Options ◽  
Core Dataset ◽  
Icd 10 ◽  
Data Elements

Background: The current COVID-19 pandemic has led to a surge of research activity. While this research provides important insights, the multitude of studies results in an increasing segmentation of information. To ensure comparability across projects and institutions, standard datasets are needed. Here, we introduce the "German Corona Consensus Dataset" (GECCO), a uniform dataset that uses international terminologies and health IT standards to improve interoperability of COVID-19 data. Methods: Based on previous work (e.g., the ISARIC-WHO COVID-19 case report form) and in coordination with experts from university hospitals, professional associations and research initiatives, data elements relevant for COVID-19 research were collected, prioritized and consolidated into a compact core dataset. The dataset was mapped to international terminologies, and the Fast Healthcare Interoperability Resources (FHIR) standard was used to define interoperable, machine-readable data formats. Results: A core dataset consisting of 81 data elements with 281 response options was defined, including information about, for example, demography, anamnesis, symptoms, therapy, medications or laboratory values of COVID-19 patients. Data elements and response options were mapped to SNOMED CT, LOINC, UCUM, ICD-10-GM and ATC, and FHIR profiles for interoperable data exchange were defined. Conclusion: GECCO provides a compact, interoperable dataset that can help to make COVID-19 research data more comparable across studies and institutions. The dataset will be further refined in the future by adding domain-specific extension modules for more specialized use cases.

Semantic Interoperability in Czech Healthcare Environment Supported by HL7 Version 3

2010 ◽  
Vol 49 (02) ◽  
pp. 186-195 ◽  
Author(s):  
P. Hanzlícek ◽  
P. Precková ◽  
A. Ríha ◽  
M. Dioszegi ◽  
L. Seidl ◽  
...  
Keyword(s):  
Data Exchange ◽  
Semantic Interoperability ◽  
International Standards ◽  
National Standards ◽  
Snomed Ct ◽  
Healthcare Environment ◽  
Coding Systems ◽  
Information Models ◽  
Icd 10 ◽  
Implementation Guidelines

Summary Objectives: The data interchange in the Czech healthcare environment is mostly based on national standards. This paper describes a utilization of international standards and nomenclatures for building a pilot semantic interoperability platform (SIP) that would serve to exchange information among electronic health record systems (EHR-Ss) in Czech healthcare. The work was performed by the national research project of the “Information Society” program. Methods: At the beginning of the project a set of requirements the SIP should meet was formulated. Several communication standards (open EHR, HL7 v3, DICOM) were analyzed and HL7 v3 was selected to exchange health records in our solution. Two systems were included in our pilot environment: WinMedicalc 2000 and ADAMEKj EHR. Results: HL7-based local information models were created to describe the information content of both systems. The concepts from our original information models were mapped to coding systems supported by HL7 (LOINC, SNOMED CT and ICD-10) and the data exchange via HL7 v3 messages was implemented and tested by querying patient administration data. As a gateway between local EHR systems and the HL7 message-based infrastructure, a configurable HL7 Broker was developed. Conclusions: A nationwide implementation of a full-scale SIP based on HL7 v3 would include adopting and translating appropriate international coding systems and nomenclatures, and developing implementation guidelines facilitating the migration from national standards to international ones. Our pilot study showed that our approach is feasible but it would demand a huge effort to fully integrate the Czech healthcare system into the European e-health context.

scholarly journals IMMUNE THERAPY INFLUENCE ON a-DEFENSIN LEVEL IN PERIPHERAL BLOOD NEUTROPHILES IN PYODERMIA PATIENTS

2010 ◽  
Vol 7 (6) ◽  
pp. 25-30
Author(s):  
E A Tsyvkina ◽  
E S Fedenko ◽  
A S Budikhina ◽  
B V Pinegin
Keyword(s):  
Peripheral Blood ◽  
Immune Therapy ◽  
Muramyl Dipeptide ◽  
Complex Treatment ◽  
Treatment Results ◽  
Level Increase ◽  
Healthy Donors ◽  
Laboratory Results ◽  
Definition Of ◽  
Selection Of

Background. The purpose was to investigate a-defensin levels in neutrophiles of pyodermia patients in comparison with healthy donors, to estimate clinical efficiency of glucosaminyl muramyl dipeptide (Licopid) and its influence on a-defensin levels. Materials and method. 31 patients with pyodermia and 17 healthy donors were investigated. Intracellular a-defensin levels in neutrophiles in the peripheral blood were estimated by flow cytometry with mouse anti-NPantibodies (Hy cult biotechnology). All patients with pyodermia were treated with Licopid 10 mg once a day within 10 days. Clinical and laboratory results were measured after 7-0 days course of treatment and one month after treatment. Results. The a-defensin level in patients with pyodermia was reduced in comparison with healthy donors. Immune therapy with licopid 10 mg once a day as a complex treatment lead to a-defensin level increase in leukocytes of peripheral blood. Conclusion. The treatment with licopid 10 mg a day lead to prolonged remission and to increase of endocellular a-defensin level. Definition of a-defensin levels can be useful for advisability and for selection of immune therapy in pyodermia patients. Thus, a decrease of a-defensin levels in pyodermia patients, possibly, is a marker of the chronic bacterial inflammation.

scholarly journals An examination of the coverage of the SNOMED CT coded nursing problem list subset

JAMIA Open ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 386-391
Author(s):  
Junglyun Kim ◽  
Yingwei Yao ◽  
Tamara Goncalves Rezende Macieira ◽  
Gail Keenan
Keyword(s):  
Clinical Care ◽  
Ease Of Use ◽  
Problem List ◽  
Snomed Ct ◽  
Cross Sectional ◽  
Unified Medical Language System ◽  
The North ◽  
Nursing Diagnosis ◽  
Omaha System ◽  
Systematized Nomenclature Of Medicine

Abstract Objective The purpose of this article is to describe the current nursing problem list subset of Systematized Nomenclature of Medicine Clinical Terms (NPLS) coverage of the American Nurses Association (ANA) recognized standardized nursing terminologies (SNTs) and to identify potential ways to expand and enhance the utility of this list. Materials and Methods The study is a cross-sectional exploratory design. We mapped the content of the North American Nursing Diagnosis Association International (NANDA-I) (2018–2020), International Classification for Nursing Practice (ICNP) (2017 AB), Clinical Care Classification (CCC) (2018 AA), and Omaha System (2007AC) terminologies with each other and into NPLS (August 2017 edition) using Unified Medical Language System (UMLS) (release 2018AA) as the intermediary. Results We identified a total of 1470 unique nursing diagnosis concepts across SNTs in UMLS, including 175 in CCC, 840 in ICNP, 244 in NANDA-I, 418 in Omaha System, and 631 in NPLS. The NPLS covers approximately 43% of the 1470 concepts—coverage for SNT content is 90% for CCC, 47% for ICNP, 59% for NANDA-I, and 32% for the Omaha System. Discussion/Recommendations The NPLS version 2017 coverage of SNT nursing diagnoses included in the UMLS is incomplete and equivocal. Recommendations: (1) ensure all SNT concepts in the UMLS are represented by SNOMED CT terms, (2) devise a formal strategy of partial matching to further enhance interoperability, (3) add a classification structure to the NPLS to enhance the ease of use and utility of the list, and (4) minimize redundancy within NPLS.

The Pipeline for Standardizing Russian Unstructured Allergy Anamnesis Using FHIR AllergyIntolerance Resource

2021 ◽  
Author(s):  
Iuliia D. Lenivtceva ◽  
Georgy Kopanitsa
Keyword(s):  
Medical Records ◽  
Data Exchange ◽  
Medical Knowledge ◽  
Data Preprocessing ◽  
Semantic Interoperability ◽  
International Standards ◽  
Free Text ◽  
Snomed Ct ◽  
Process Standardization ◽  
Specific Medication

Abstract Background The larger part of essential medical knowledge is stored as free text which is complicated to process. Standardization of medical narratives is an important task for data exchange, integration, and semantic interoperability. Objectives The article aims to develop the end-to-end pipeline for structuring Russian free-text allergy anamnesis using international standards. Methods The pipeline for free-text data standardization is based on FHIR (Fast Healthcare Interoperability Resources) and SNOMED CT (Systematized Nomenclature of Medicine Clinical Terms) to ensure semantic interoperability. The pipeline solves common tasks such as data preprocessing, classification, categorization, entities extraction, and semantic codes assignment. Machine learning methods, rule-based, and dictionary-based approaches were used to compose the pipeline. The pipeline was evaluated on 166 randomly chosen medical records. Results AllergyIntolerance resource was used to represent allergy anamnesis. The module for data preprocessing included the dictionary with over 90,000 words, including specific medication terms, and more than 20 regular expressions for errors correction, classification, and categorization modules resulted in four dictionaries with allergy terms (total 2,675 terms), which were mapped to SNOMED CT concepts. F-scores for different steps are: 0.945 for filtering, 0.90 to 0.96 for allergy categorization, 0.90 and 0.93 for allergens reactions extraction, respectively. The allergy terminology coverage is more than 95%. Conclusion The proposed pipeline is a step to ensure semantic interoperability of Russian free-text medical records and could be effective in standardization systems for further data exchange and integration.

The aeroelastic characteristics of high aspect ratio wing

2016 ◽  
Vol 230 (14) ◽  
pp. 2543-2556
Author(s):  
Fan Yang ◽  
Zhufeng Yue ◽  
Lei Li
Keyword(s):  
Aspect Ratio ◽  
Large Deformation ◽  
High Aspect Ratio ◽  
Data Exchange ◽  
Stokes Equations ◽  
Great Influence ◽  
Aerodynamic Characteristics ◽  
Interface Problem ◽  
Numerical Result ◽  
Computational Structural Mechanics

Owing to the elasticity, the large deformation was brought in the high aspect ratio wing in the flight. The large deformation had a great influence on the flight performance. In this paper, the loosely coupled method was used for the research of high aspect ratio wing aeroelastic problems. The Navier–Stokes equations were solved for fluid domain computation, and the nonlinear finite element method was adopted for solid domain computation. The data exchange program and mesh regeneration progress were adopted for fluid–structure interface problem. Finally, the aerodynamic characteristics of high aspect ratio wing were obtained under different fly conditions. In addition, to validate the proposed method, the flutter analysis of AGARD 445.6 wing is carried out and compared with the experimental data. The numerical result validates the proposed computational fluid dynamics/computational structural mechanics method.

scholarly journals The German Corona Consensus Dataset (GECCO): A standardized dataset for COVID-19 research in university medicine and beyond

2020 ◽  
Author(s):  
Julian Sass ◽  
Alexander Bartschke ◽  
Moritz Lehne ◽  
Andrea Essenwanger ◽  
Eugenia Rinaldi ◽  
...  
Keyword(s):  
Data Exchange ◽  
Professional Associations ◽  
Case Report Form ◽  
Snomed Ct ◽  
University Hospitals ◽  
Research Activity ◽  
Response Options ◽  
University Medicine ◽  
Core Dataset ◽  
Data Elements

Abstract Background: The current COVID-19 pandemic has led to a surge of research activity. While this research provides important insights, the multitude of studies results in an increasing fragmentation of information. To ensure comparability across projects and institutions, standard datasets are needed. Here, we introduce the “German Corona Consensus Dataset” (GECCO), a uniform dataset that uses international terminologies and health IT standards to improve interoperability of COVID-19 data, in particular for university medicine. Methods: Based on previous work (e.g., the ISARIC-WHO COVID-19 case report form) and in coordination with experts from university hospitals, professional associations and research initiatives, data elements relevant for COVID-19 research were collected, prioritized and consolidated into a compact core dataset. The dataset was mapped to international terminologies, and the Fast Healthcare Interoperability Resources (FHIR) standard was used to define interoperable, machine-readable data formats. Results: A core dataset consisting of 81 data elements with 281 response options was defined, including information about, for example, demography, medical history, symptoms, therapy, medications or laboratory values of COVID-19 patients. Data elements and response options were mapped to SNOMED CT, LOINC, UCUM, ICD-10-GM and ATC, and FHIR profiles for interoperable data exchange were defined. Conclusion: GECCO provides a compact, interoperable dataset that can help to make COVID-19 research data more comparable across studies and institutions. The dataset will be further refined in the future by adding domain-specific extension modules for more specialized use cases.

scholarly journals Introducing mobile cloud technology into m-health to deliver better care/support in case of emergencies

2015 ◽  
pp. 20-26
Author(s):  
Hazzaa Naif Alshareef
Keyword(s):  
Mobile Devices ◽  
Healthcare Services ◽  
Physical Activities ◽  
Ease Of Use ◽  
Medical Professionals ◽  
The Public ◽  
Laboratory Results ◽  
Access Services ◽  
Care Support

Recent years have seen an increase in the use of mobile devices such as smartphones, tablets, and smart-bands in people’s lives. Features offered by these types of devices, such as ease of use and being wireless enabled, allow people to access services that can improve their quality of life. One of the most important aspects of life that can be accessed through mobile devices is health services, whereby users have the ability to track their health status ‘on the move’, such as by tracking physical activities (e.g., walking and running) and monitoring body status (e.g., heartbeats rate). On the other side, medical professionals and centres can use mobile devices to provide better healthcare services to the public, as doctors, for example, can access patients’ records and laboratory results on the move instead of looking at printed charts or files. This reduces the time needed to deliver healthcare to patients. Furthermore, ...

scholarly journals Model-based XML to Relational Database Mapping Choices

2019 ◽  
Vol 8 (3S) ◽  
pp. 123-128
Keyword(s):  
Relational Database ◽  
Data Exchange ◽  
Data Representation ◽  
Algorithm Performance ◽  
Large Size ◽  
Xml Document ◽  
Extensible Markup ◽  
Crucial Part ◽  
Mapping Scheme ◽  
Share Information

Extensible Markup Language (XML) technology is widely used for data exchange and data representation in both online and offline mode. This structured format language able to be transformed into other formats and share information across platforms. XML is simple; however, it is designed to accommodate changes. For this paper, a study on transformation of XML document into relational database is conducted. Crucial part of this process is how to maintain the hierarchy and relationships between data in the document into database. Approaches that are discussed in this paper each uses own unique way of data storing technique and database design. Therefore, each algorithm is assessed with three datasets constitute of small, medium and large size XML file. The efficiency of the algorithms is being tested on time taken for data storing and query execution process. At the end of the evaluation, we discuss factors that affect algorithm performance and present suggestions to improve mapping scheme for future works

scholarly journals A Multi Stage Path Indexed Energy Conserving Routing in MANET

2019 ◽  
Vol 9 (2) ◽  
pp. 2752-2757
Keyword(s):  
Data Exchange ◽  
Data Transfer ◽  
Critical Issue ◽  
Ease Of Use ◽  
New Paradigm ◽  
Mobile Adhoc Network ◽  
Multi Stage ◽  
Novel Approach ◽  
Energy Conserving ◽  
Energy Equilibrium

The technology behind Mobile Adhoc Network is growing day by day. This growth is triggered by the needs of the society and it remarks the influence and usage of MANET around the world. Due to the flexibility, scalability and ease of use, MANET has become a part of everyone’s life. So researches are carried out with a sole aim to maximize the throughput. There are many aspects to be covered to improve MANET performance which includes routing, energy usage, bandwidth usage, mobility management etc… Researchers try to bring better performance by tuning the above parameters to an optimal condition so as to bring an overall balance. Management of energy and its conservation by optimization is a critical issue to be addressed in MANET. This paper introduces a novel approach in MANET routing which enables better energy management during data exchange. This method uses a new paradigm which will provide Multi Stage Indexed Energy Conserving Routing in MANET (MSPIEC routing). MSPIEC routing identifies the overall energy equilibrium of the MANET during route discovery, and based on the statistics the data exchange will be carried out. Since MSPIEC routing has the data on energy equilibrium, more data will be passed through healthy routes and less data will be assigned through weaker paths, so that the entire data transfer will be balanced as a whole.

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