The NIH Common Data Elements (CDE) Repository has been designed to provide access to structured human and machine-readable definitions of data elements that have been recommended or required by NIH Institutes and Centers and other organizations for use in research and for other purposes. Visit the NIH CDE Resource Portal for contextual information about the repository.

The Data Collection Framework (DCF) application is constituted of an interactive web-based application that aims at facilitating data exchange, data extraction and data reusability. A harmonized terminology is used to collect and analyse data in a coherent way with the aim to support scientific research.

DCF_catalogues file contains all the valid catalogues published in the DCF.

The SSD1 file contains the controlled terminologies based on the standard description of samples and analytical results (Standard Sample Description).

The SSD2 file contains the controlled terminologies based on the standard description of samples and analytical results (Standard Sample Description Extension), extended to cover additional data collection domains, such as zoonotic agents in food and animals, antimicrobial resistance and food additives.

Report Filter Definitions and Guidance Please note that all filter options are present in the dataset. For example, if you are looking at a dataset and a state is missing, it means there is no data for the year selected in that state - it does not use a list of all US states. Also note that if the data table disappears, there is no data available for the filter selections made.

This dataset contains a comprehensive list of glossary terms provided by the National Institute of Standards and Technology (NIST). It serves as a rich resource for researchers, security experts, and policy makers to understand and standardize terminologies in various domains including cybersecurity, information security, and more.

Data Source

The data is sourced from NIST's official website: NIST Glossary.

Data Columns

• term: The glossary term.
• link: The link to the term's detail page.
• abbrSyn: Abbreviations or synonyms for the term.
• definitions: Definitions of the term.

Usage

This dataset can be used for educational purposes, research, and to standardize terminologies in scientific papers, articles, or projects.

The dataset is a collection of multilingual entries related to the SARS-CoV-2 virus and the COVID-19 pandemic, available in IATE, the European Union terminology database.

It is a compilation of entries based on the work of terminologists from the different translation services of the EU institutions.

The dataset contains snapshots of the pandemic-related content available in IATE taken on:

• 29 April 2020 - 270 unique entries;
• 28 July 2020 - 458 unique entries;
• 20 October 2020 - 653 unique entries;
• 11 March 2021 - 730 unique entries.

The IATE database is continuously being updated by EU terminologists, and remains the reference source of choice.

This dataset represents the content of the Government of Canada's terminology and linguistic data bank. Users can find the equivalent of terms and expressions in many fields. All content is given in English and French and some in Spanish or Portuguese.

Introduction This dataset contains the terms and definitions included on the UKPN Open Data Portal Glossary Page.

Methodological Approach This dataset is sourced from UK Power Networks internal business glossary.

Quality Control Statement Quality Control Measures include:

Manual review and correction of data inconsistencies Use of additional verification steps to ensure accuracy in the methodology

Assurance Statement The Open Data Team and Data Governance Team worked together to ensure data accuracy and consistency.

Other UKPN Open Data Portal Glossary helps ensure common understanding of terms, used or related to the datasets published on UKPN Open Data Portal. Download dataset information: Metadata (JSON) Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

Since COVID-19 was first identified in December 2019, the number of countries affected by this disease has been increasing; the World Health Organization declared it a pandemic in March 2020. The current global situation requires highly effective communication. The vocabulary used must be understood by everyone, and it is important that all documents have consistent terminology. This glossary is designed as a tool for language professionals as well as those responsible for disseminating information in the context of this pandemic. In it, you will find terms in the fields of medicine, sociology and politics, among others. Please note that some records in this data set may have been updated after the extraction date for this data set. To find the most recent terminology data including textual supports beyond the definitions present in the open data file, consult TERMIUM Plus® or check the Glossary on the COVID-19 pandemic. Please also note that, as a result of technical constraints, some abbreviations may not immediately follow the terms they abbreviate. This dataset is no longer being updated. COVID-19 terminology can be found in the TERMIUM Plus® dataset and in TERMIUM Plus® , the Government of Canada's terminology data bank.

The VSAC is a repository and authoring tool for public value sets created by external programs. Value sets are lists of codes and corresponding terms, from NLM-hosted standard clinical vocabularies (such as SNOMED CT®, RxNorm, LOINC® and others), that define clinical concepts to support effective and interoperable health information exchange. The VSAC does not create value set content. The VSAC also provides downloadable access to all official versions of value sets specified by the Centers for Medicare & Medicaid Services (CMS) electronic Clinical Quality Measures (eCQMs). For information on CMS eCQMs, visit the eCQI Resource Center. The VSAC is provided by the National Library of Medicine (NLM), in collaboration with the Office of the National Coordinator for Health Information Technology (ONC) and CMS.

A multilingual terminology database containing a vast amount of terminology that has been developed through standardization work. SNORRE contains terms and definitions which have been extracted from national, European or international standards and which have been quality assured by subject specialists and linguists. Consequently, the term base provides a valuable tool for translators, technical writers and others interpreting or producing technical text.

(Includes MeSH 2023 changes) The MeSH 2024 Update - Split Report lists terms that are replaced by a set of terms, either descriptors or SCRs, instead of a single term. This report includes MeSH changes from previous years, starting from 2023.

The UMLS integrates and distributes key terminology, classification and coding standards, and associated resources to promote creation of more effective and interoperable biomedical information systems and services, including electronic health records.

Snapshot img

Medical Terminology Software Market Size 2025-2029

The medical terminology software market size is forecast to increase by USD 3.8 billion at a CAGR of 26.3% between 2024 and 2029.

The market is experiencing significant growth, driven primarily by the increasing emphasis on minimizing medical errors and enhancing healthcare efficiency. With the expanding adoption of Healthcare Information and Communication Technology (HCIT), medical terminology software has become an indispensable tool for healthcare providers. However, market expansion is not without challenges. Regulatory hurdles, such as adherence to strict data privacy regulations, impact adoption and necessitate robust security measures. Additionally, supply chain inconsistencies and the need for continuous software updates to maintain accuracy pose challenges.
Technological innovations, such as artificial intelligence and machine learning, are being integrated into medical terminology software to enhance its capabilities. Despite these obstacles, opportunities abound for companies that can effectively navigate these challenges and offer innovative solutions. By focusing on user-friendly interfaces, seamless integration with existing systems, and robust data security, medical terminology software providers can capitalize on the market's potential for growth.

What will be the Size of the Medical Terminology Software Market during the forecast period?

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In the dynamic US healthcare industry, decision support solutions have emerged as essential tools for healthcare organizations to enhance interoperability and improve patient care. Epic, a leading provider of electronic health records (EHR), is at the forefront of this trend, enabling clinical studies and data aggregation for better quality reporting. Government norms mandate compliance obligations for hospitals and hospital departments, necessitating seamless data integration and interoperability. This is crucial for effective public health surveillance, hospitalizations, and medical billing. Traditional techniques for managing patient data and clinical errors have given way to advanced technologies, including CROs and R&D operations, which prioritize decentralized clinical trials and data aggregation.
Patient safety concerns, reimbursement, and disparity are significant factors driving the adoption of these technologies. Medical errors, a major concern for patient safety, can be mitigated through EHR and data integration, ensuring accurate claim submissions and condition tracking. Interoperability between healthcare providers plays a vital role in addressing disparities and improving patient epidemiology. The projection period for this market is marked by increasing emphasis on patient safety, government norms, and reimbursement, making it an exciting space for innovation and growth.

How is this Medical Terminology Software Industry segmented?

The medical terminology software industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

End-user

  Healthcare providers
  Healthcare payers
  Healthcare IT vendors


Type

  Services
  Platforms


Application

  Data integration
  Data aggregation
  Reimbursement
  Clinical trials


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  Rest of World (ROW)

By End-user Insights

The healthcare providers segment is estimated to witness significant growth during the forecast period. Medical terminology software is a crucial tool for various healthcare organizations, including hospitals, clinics, doctor offices, long-term care facilities, and other healthcare providers. This segment relies heavily on medical terminology software for accurate and consistent clinical documentation, coding, and information sharing. The software is indispensable for healthcare providers, as it streamlines clinical workflows, enhances patient data administration, and supports billing and coding procedures. The market for medical terminology software is witnessing significant advancements, driven by technological innovations, new healthcare solutions, and regulatory compliance obligations. Compliance with government norms, such as interoperability and data integrity, is a major factor propelling the adoption of medical terminology software. Big data derived from EHR systems is transforming healthcare delivery, particularly in managing chronic diseases

New healthcare solutions, such as Electronic Health Records (EHR) and Decentralized Clinical Trials, are also fueling the demand for medical terminology software. Pricing analysis reveals that medical terminology software is available at various price points

glosario is an open-source glossary of terms used in data science that is available online and also as a library in both R and Python. By adding glossary keys to a lesson’s metadata, authors can indicate what the lesson teaches, what learners ought to know before they start, and where they can go to find that knowledge. Authors can also use the library’s functions to insert consistent hyperlinks for terms and definitions in their lessons in any of several languages. The master copy of the glossary lives in the glossary.yml file.

A nursing terminologies resource for systems development. Describes the role of SNOMED CT and Laboratory Observation Identifiers Names and Codes (LOINC) in implementing Meaningful Use in the U.S., specifically for the nursing and care domain.

Medical Subject Headings (MeSH) is a hierarchically-organized terminology for indexing and cataloging of biomedical information. It is used for the indexing of PubMed and other NLM databases. Please see the Terms and Conditions for more information regarding the use and re-use of MeSH. NLM produces Medical Subject Headings XML, ASCII, MARC 21 and RDF formats.

Updates to the data files are made according to the following schedule:

MeSH XML MeSH Descriptor files updated annually MeSH Qualifier files updated annually MeSH Supplemental Concept Records (SCR) updated daily (Monday - Friday)

MeSH ASCII MeSH Descriptor files updated annually MeSH Qualifier files updated annually MeSH Supplemental Concept Records (SCR) updated daily (Monday - Friday)

MeSH MARC21 All files posted monthly

MeSH RDF All files posted daily (Monday - Friday)

The NAL Agricultural Thesaurus (NALT) was first released by the National Agricultural Library in 2002, with in-depth coverage of agriculture, biology, and related disciplines. It contains over 135,000 terms, including 63,000 cross references, and is arranged into 17 subject categories which are used to browse the Thesaurus in a specific discipline or subject area. NALT is updated annually each January. The subject scope of agriculture is broadly defined in the thesaurus, and includes terminology in the supporting biological, physical, and social sciences. Biological nomenclature comprises a majority of the terms in the thesaurus and is located in the "Taxonomic Classification of Organisms" Subject Category. Political geography is mainly described at the country level. Published since 2007, the Glossary is a collection of definitions of agricultural terms developed in conjunction with the creation of the NAL Agricultural Thesaurus. The 2018 edition of the glossary contains 5,618 terms ranging across agriculture and its many ancillary subjects. Most definitions were composed by the NAL Thesaurus Staff. Those definitions taken from government sources are indicated in the "Definition Source" field and are included in the bibliography. In 2010, the thesaurus was made available as Linked Open Data. Linked Open Data translates information into a form both readable and understandable by computers. This translation makes it possible for different information resources, such as Web pages, datasets and research articles, to be interconnected, creating meaningful relationships that make it easier to locate related content. In May 2007, Spanish language versions of its NAL Agricultural Thesaurus (NALT) and Glossary of Agricultural Terms were published under the Spanish language names "Tesauro Agrícola" and "Glosario". The Thesaurus and Glossary are produced cooperatively by the USDA National Agricultural Library and the Inter-American Institute for Cooperation on Agriculture (IICA), as well as other Latin American agricultural institutions belonging to the Agriculture Information and Documentation Service of the Americas (SIDALC). The Thesaurus and Glossary can be downloaded in XML, RDF-SKOS, PDF, MARC, and DOC formats. Resources in this dataset:Resource Title: NAL Thesaurus and Glossary Home. File Name: Web Page, url: https://agclass.nal.usda.gov/agt.shtml Website for the NAL Thesaurus (NALT) and Glossary.

(Includes MeSH 2023 and 2024 changes) The MeSH 2025 Update - Combine Report lists new Entry Combinations. These are cases where a new, precoordinated Descriptor has been created to replace an existing Descriptor / Qualifier combination. This report includes MeSH changes from previous years, starting from 2023.

A comprehensive collection of 360+ Salesforce terminology terms organized by difficulty level for educational purposes.