Ontology Resources - SNOMED

标签:
杂谈 |
分类: 医院管理与医院信息化 |
What does it cover?
- The Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) Ontology includes “a Core terminology of over 364,000 health care concepts with unique meanings and formal logic—based definitions organized into hierarchies. As of January 2005, the fully populated table with unique descriptions for each concept contains more than 984,000 descriptions. Approximately 1.45 million semantic relationships exist to enable reliability and consistency of data retrieval. It is available in English, Spanish and German language editions.”
- The primary goal is to advance “patient care through the delivery of a dynamic and sustainable, scientifically validated terminology and infrastructure that enables clinicians, researchers and patients to share health care knowledge worldwide, across clinical specialties and sites of care.”
- National government agreements with NLM (UMLS Metathesaurus) and NPfIT (UK)
- Primary concept hierarchies include clinical findings, procedures, body structure, etc. These are linked by IS-A and attribute (such as associated morphology, body structure—part of…) relationships.
Curating authority/Who maintains it?
- SNOMED International: College of American Pathologists (CAP); clinical content experts; medical informatics experts; United Kingdom's National Health Service representatives; liaisons from clinical specialties and government agencies; professional medical translators, editors and validators; physicians and nurses; a Scientific Director; and external stakeholders.http://www.snomed.org/about/organization.html
- Working groups also exist for various components (e.g., Mapping or Nursing).
- UMLS links contains the active core content of SNOMED CT
Primary citation:
SNOMED International [http://www.snomed.org/]
What is its structure?
- Core content includes the concepts table, descriptions table, relationships table, history table, an ICD-9-CM mapping, and the Technical Reference Guide. Can map to other medical terminologies and classification systems already in use.
-
Over 366,170 concepts with unique meanings and formal logic-based
definitions organized into 18 hierarchies (see end of sheet for
entire table).
http://www.snomed.org/snomedct/documents/July05_CT_FactSheet.pdf -
Contains more than 993,420 English language descriptions or
synonyms for flexibility in expressing clinical
concepts.
For example:Concept Fully Specified Name=Pain in throat (finding) à Associated Descriptions= Sore throat, Throat pain, Pain in pharynx, Throat discomfort, Pharyngeal pain, Throat soreness -
Approximately 1.46 million semantic relationships:
- IS-A (within single hierarchy)
- Attribute relationships (connects concepts in different hierarchies; see end for full table): e.g., Disorder & Finding; Body Structure; Context; Measurement Procedures; Procedure' Specimen; Additional attributes
- It is meant to be complementary to LOINC (Logical Observations Identifiers, Names, Codes), another clinical terminology important for laboratory test orders and results.
What process is used to construct and maintain it?
"As an American National Standards Institute (ANSI) approved standards developer, the College of American Pathologists has committed to a review process that incorporates ANSI's minimum due process requirements. Recognition of the SNOMED CT structure as an approved ANSI standard was received on September 30, 2003."
The SNOMED CT development process incorporates the efforts of a
team of internal and external modelers. A documented scientific
process is followed that
The quality control process is continuously supplemented by feedback from users. Parallel to domain specialist review, U.S. and U.K. editors continue to review the content and are actively making adjustments and refinements as needed.
Expert
Input:
Working
Groups:
How is it currently used?
Essentially used in human healthcare fields:
- “Electronic medical records, ICU monitoring, clinical decision support, medical research studies, clinical trials, computerized physician order entry, disease surveillance, image indexing and consumer health information services. Beyond electronic medical records, the terminology is used for physician ordering of drugs and lab tests, genomic databases, telemedicine, public health reporting, and clinical research. Sharing of data will increase the accuracy of clinical documentation, facilitate clinical decision support, and improve patient safety and enhance clinical outcomes.”
-
“SNOMED CT will help structure and computerize the medical record,
reducing the variability in the way data is captured, encoded and
used for clinical care of patients and medical research.
For patients, that means that doctors and other care providers are more likely to have information about a patient's medical history, illnesses, treatments, and laboratory results at their fingertips, whenever it is needed. A care provider can more easily send to and receive electronic information from another health care practitioner to deliver the best patient care possible.”
An example in
Radiology/Imaging:
-
Single contrast barium enema (procedure)
Defining characteristics- Imaging (action)
- Large intestinal structure (body structure)
- Barium sulfate (substance)
- Filling defect (finding)
-
Malignant tumor of colon (disorder)
Defining characteristics- Malignant tumor (disorder)
- Malignant neoplasm of primary, secondary, or uncertain origin (morphology)
- Colon structure (body structure)
How can BIRN benefit?
A. Within a Test
Bed:
Potentially provides 1) an anatomical term set for the human body,
esp. the brain (Body Structure concept hierarchy); 2) clinical
assessment terms for human psychiatric conditions (Staging and
Scales concept hierarchy); and potential source of disorders
terminology with links to anatomical terms (Disorder and
Finding/Associated Morphology).
B. Across
Test-Beds:
Items in A will be relevant to both morph and function BIRN, and
can be set up similarly (with first reviews to incorporate
schizophrenia and Alzheimer's disease related terms). The
anatomical terms and disorders may be relevant to matching with
mouse BIRN.
18 hierarchies of concepts
Clinical Finding:
• Finding • Disease |
Linkage
concept • Link assertion • Attributes |
Procedure/intervention |
Physical
object |
Observable
entity |
Physical
force |
Body
structure |
Events |
Organism |
Environments/geographical
locations (Intensive care unit) |
Substance |
Social
context |
Pharmaceutical/biologic
product |
Context-dependent
categories |
Specimen |
Staging and
scales |
Qualifier
value |
Special
concept |
All Attributes
Disorder and Finding (Clinical Finding) | Body Structure | Procedure | Specimen |
Finding Site | Laterality | Procedure Site | Specimen Procedure |
Associated With/• After/• Causative Agent/• Due To | Part of | Procedure Device | Specimen Source Topography |
Associated Morphology | Context | Procedure Morphology • Direct /• Indirect | Specimen Source Morphology |
Severity | Associated Finding | Method | Specimen Substance |
Onset | Associated Procedure | Direct Substance | Specimen Source Identity |
Course | Finding Context | Using | Additional Attributes |
Episodicity | Procedure Context | Access | Has Active Ingredient |
Interprets | Subject Relationship Context | Approach | Associated Finding |
Has Interpretation | Temporal Context | Priority | |
Pathological Process | Measurement Procedure | Has Focus | |
Has Definitional Manifestation | Has Measurement Component | Has Intent | |
Occurrence | Measurement Method | Recipient Category | |
Stage | Has Specimen | Access Instrument | |
Subject of Information | Time Aspect | Revision Status | |
|
Property | Has Specimen | |
|
Scale Type | Component |