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Why SNOMED CT?

The use of SNOMED CT as a reference terminology in healthcare has added value for patients, healthcare professionals and software developers.

Added value for patients

Uniformly structured health information in the electronic patient record

SNOMED CT allows the uniform recording of health information in the electronic patient record. This enables structured documentation of examinations, diagnoses, treatments, medications or laboratory values in the course of an illness or treatment.

Health information for all practitioners digital and understandable

The uniform presentation of health information with SNOMED CT enables easy exchange between all healthcare providers. Even in an emergency, all patient data are available.

Comprehensive overview for a better basis for decision-making

With SNOMED CT as the basic language for data in the healthcare system, all those treating the patient can quickly obtain an overview of the patient's state of health. When all the data in the electronic patient record are available at a glance, better decisions can be made for diagnosis and treatment.

Using health data abroad as well

Medical facts are presented with SNOMED CT in a language-independent manner and are therefore understandable in any language. This provides the basis for an European data exchange. This means that in the future, practitioners throughout Europe will be able to understand medical information about every patient.

Targeted treatment options according to the current state of science

Through uniformly structured data, it will be possible to link current knowledge on diseases, new treatment options and also notifications and alerts on medicines with the information within the patient file. This will allow patients to be informed when, for example, vaccinations need to be refreshed, medicines need to be recalled for safety reasons or laboratory values need to be checked.

Added value for health professionals

Common medical language for all disciplines

As the most comprehensive medical terminology, SNOMED CT provides the basis for the structured presentation of medical facts. This enables practitioners from different disciplines to document, understand and use health information in a uniform way.

Standard for the exchange of electronic data throughout the healthcare system

SNOMED CT is the basic terminology for the exchange of patient data and health applications. SNOMED CT facilitates the interpretation and further use of digital medical information by all persons involved in the treatment.

Less effort and cost reduction through reuse of data

The electronic availability of relevant health information in standardised form means that patient data and, for example, examinations, diagnoses or laboratory results can be re-used. The reduced documentation effort relieves healthcare professionals and avoids multiple examinations of patients.

Relief in electronic documentation through intelligent systems

SNOMED CT offers the possibility of linking different code systems in the background so that terminologies can be applied in parallel. The responsible institutions are working on integrating different code systems and, in future, automatically generating billing data from clinical data, for example.

Better knowledge management and effective decision support

A uniform and structured coding of data is the basis for an unambiguous presentation of health information. This allows different sources such as guidelines, package inserts or vaccination recommendations to be logically combined. They are available for individual questions at the time of treatment. If necessary, instructions for action and warnings can also be generated by the system.

Supporting precision medicine and research

With SNOMED CT, medical facts can be recorded and described in a differentiated and fine-granular way. Precise data together with the ontological data structure and query language are a good basis for scientific evaluations and answering individual medical questions.

Added value for software developers

One terminology for all medical information from one source

SNOMED CT is currently the most comprehensive health terminology that covers all areas of medical activity. As a result, body structures, findings and diagnoses, measures, drugs and active substances, examinations, laboratory values, pathogens or even the social environment can be recorded and documented in a structured manner with a single code system. The effort involved in obtaining code systems from different sources and in different formats can be minimised, thus increasing efficiency.

Language-independent software developments and international competitiveness

SNOMED CT is used in many health applications in more than 80 countries worldwide. Language-independent development of medical software solutions with coded concepts enables worldwide distribution, international data exchange and thus international competitiveness.

Reference terminology for integrating global and local requirements

The uniform and at the same time versatile structure of SNOMED CT enables external codes to be extended by local requirements and also other coding systems to be integrated into SNOMED CT. This allows different data to be harmonised, linked, implemented and sustainably provided.

Basic terminology for data exchange in the health sector

SNOMED CT is the terminology for coding data in the electronic patient record and in digital health applications (DiGA) in Germany. A uniform structure and use of SNOMED CT enable high-quality data exchange, processing of data as well as their sustainable storage and further use.

Good data quality for better patient care

Unambiguous machine- and human-readable codes for health information enable point-of-care analyses, for example, and can contribute to improving patient safety. SNOMED CT increases the data quality of software solutions and allows the implementation of complex data processing procedures.

Valuable data for the analysis of medical questions

Due to the logical data model and the structure of SNOMED CT as a semantic network, clinical data can be aggregated and different research objectives analysed. This allows measurable benefits and evidence to be generated from data. Well-structured data are the basis for machine readability and optimal use of modern technologies such as artificial intelligence.