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TDT4210 Lecture Sept. 14th 2005: Part 1: Coding and Classification. Structuring of medical data. Why? The language used in traditional patient records is redundant and not precise Free text leads to an infinite list of possible expressions
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TDT4210 Lecture Sept. 14th 2005:Part 1: Coding and Classification
Structuring of medical data • Why? • The language used in traditional patient records is redundant and not precise • Free text leads to an infinite list of possible expressions • The use of EPRs and other computer based systems has lead to a need for standardized terminlogies to represent all medically relevant expressions without any data reduction Appropriate level of detail and the structure of the classification system depend on the purpose for which the classification system has been designed
History of classification • ICD and the classifications derived from it is the most used classification system in health care • The first attempt at registration was the London Bills of Mortality in 1629. The first edition of the International List of Causes of Death, as it was then called, was presented by Jacques Bertillon at a meeting of the International Statistical Institute (ISI) in 1893 in Chicago, and it was officially accepted in 1900. • This list was regularly revised under the supervision of ISI until its fifth edition in 1938. Until then, the code list was primarily used for mortality statistics. Health insurance companies, hospitals, medical services, the military, and other agencies felt a growing need to extend the list with codes for morbidity. • The International Health Conference, held in New York City in 1946, entrusted the Interim Commission of the World Health Organization (WHO) with the responsibility of undertaking the necessary preparatory work to extend the International List of Causes of Death with an International List for the Causes of Morbidity.
Some definitions (see also http://www.mieur.nl/mihandbook/r_3_3/handbook/home.htm, Glossary) • Term: Word or expression with a precise meaning, related to a particular topic • Terminology: A set of terms that represents a system of concepts in a particular field • Nomenclature: Codes assigned to medical concepts • Can form complex concepts by combining medical concepts • Leads to a large number of possible code combinations
Classifications • Classifying: The process of designing a classification • Classification: An ordered system of concepts within a certain domain • Examples of domains: reason for encounter (Norw.: kontaktårsak), diagnosis, medical procedure • Ordering principles may be implicit or explicit • Concepts ordered according to generic relations • Example: ”Pneumonia is a kind of lung disease”
Codes • Coding is the process where a set of words describing a medical concept is translated into a code • Codes may be formed by numbers, alphabetic characters, or both • Different types of codes: • Number codes • Mnemonic codes • Hierarchical codes • Juxtaposition codes • Combinations
Requirements for a classification • Domain completeness • Nonoverlapping classes (mutual exclusiveness) • Suitable for its purpose • Homogeneous ordering (one principle per level) • Clear criteria for class boundaries • Unambiguous and complete guidelines for application • Appropriate level of detail
Ordering principles Example of more than one ordering principle; classifying diseases: • Anatomic location • Etiology (Norw.: årsakslære) • Morphology (Norw.: formlære) • Dysfunction (Norw.: Funksjonsforstyrrelse) Each of these aspects can be used for different orderings called axes Multiaxialclassifications use several orderings simultaneously
Additional requirements for computer-assisted coding systems • Allow for the use of synonyms • Allow for the use of lexical variations • Insensitive to spelling errors • Reliability • consistent operation (insensitive to ordering of terms) • correct
Examples of classification systems ICD – International Classification of Diseases NCSP – NOMESCO Classification of SurgicalProcedures ICPC – International Classification of Primary Care SNOMED – Systematized Nomenclature of Human and Vetenary Medicine ATC – Anatomic Therapeutic Chemical Code (medications) RCC – Read Clinical Classification (Read code) MeSH – Medical Subject Headings DRG – Diagnosis Related Groups
ICD-9/10(International Classification of Diseases, http://www.who.int/classifications/icd/en/) • Archetypal coding system for patient record abstraction • First edition published in 1900 • Meant to be used for coding diagnostic terms • Maintenance by WHO • Most recent version: ICD-10 (1992) • ICD-9 and ICD-9-CM (Clinical modifications) still much used • Expanded to include other families of medical terms, e.g. reasons for encounter (”V” codes), external causes of death (”E” codes) • Disease codes grouped into chapters
ICPC(International Classification of Primary Care) • Less granularity than ICD-9 • Codes for diagnoses, RfE, therapies, and laboratory tests • Two-axis system: • First axis: organ systems, 17 codes (A-Z) • Second axis: components, 7 chapters, codes 1-99 • Used by all GPs in Norway
A General B Blood, blood forming D Digestive F Eye H Ear K Circulatory L Musculoskeletal N Neurological P Psychological R Respiratory S Skin T Metabolic, endocrine, nutrition U Urinary W Pregnancy, fam plan X Female genital Y Male genital Z Social ICPC
SNOMED (Systematized Nomenclature of Human and Veterinary Medicine, www.snomed.org) • SNOP (Systemized Nomenclature of Pathology) • Snomed (I/II) –six axes • ”The Norwegian SNOMED” - Den norske SNOMED • Used in Norway today in the area of pathology • SNOMED III (SNOMED International) – eleven axes • SNOMED RT • SNOMED CT • SNOMED RT + Clinical Terms v3 (Read Codes)
SNOMED (Systematized Nomenclature of Human and Veterinary Medicine, www.snomed.org) • Each axis forms a complete hierarchical classification system • Can combine different medical concepts to form more complex concepts using combination or juxtaposition codes • Any SNOMED term may be combined with any other SNOMED term which might lead to multiple ways to express a code for the same valid concept; not always meaningful
T Topography M Morphology L Living organisms C Chemical F Function J Occupation D Diagnosis P Procedure A Physical agents, forces, activities S Social context G General SNOMED International – axes:
SNOMED RT code structure • Kilde: Coding matters, Vol. 8, No. 2, September 2001.
Problems/challenges • Mapping between classification systems • Level of details • Relevant information
Classification problems • Not all combinations that can be generated are sensible • Need both semantic and syntactic categories • Where should the disease be classified? • Overlap of disease classes violates the rule of mutual exclusiveness • Problems in statistical analysis • Dynamic nature of classification leads to continous need for maintenance
Coding problems • The language used in the classification may be very different from the clinical language used in patient records • Difficult to browse large medical classifications of diagnoses and procedures • Two different techniques used: • Morpho-semantic analysis of the input languages to extract all underlying concepts, leading to a somewhat conceptual indexing of the classification • Incorporation of a thesaurus with synonym expressions that all point to an existing entry in the classification
Literature • van Bemmel & Musen: Handbook of Medical Informatics, ch. 6 • KITH: www.kith.no • ICD: www.who.int/classifications/icd/en/ • ICPC: www.who.int/classifications/icd/adaptations/icpc2/en/index.html • SNOMED: www.snomed.org