Controlled Medical Terminologies: What can they do for me? PowerPoint PPT Presentation

presentation player overlay
About This Presentation
Transcript and Presenter's Notes

Title: Controlled Medical Terminologies: What can they do for me?


1
Controlled Medical TerminologiesWhat can they
do for me?
  • James J. Cimino, M.D.
  • Department of Medical InformaticsColumbia
    University

2
Definition
  • Terminology
  • A finite, enumerated set of terms intended to
    convey information unambiguously

3
Some General Classes of Terms
  • Diagnostic Procedures
  • Therapeutic Procedures
  • Medications
  • Diagnoses
  • Findings
  • Organisms
  • Anatomy

4
ICD-9/10 and -CM
  • 9th International Classification of Diseases
  • WHO for collecting health statistics
  • Clinical Modifications added
  • 10th edition
  • Clinical modifications under construction
  • Strict hierarchy
  • Synonyms and index terms
  • Code determines place in hierarchy

5
ICD9-CM Examples
  • ------Diseases-----
  • 003. _at_ OTHER SALMONELLA INFECTIONS
  • 003.0 SALMONELLA GASTROENTERITIS
  • 003.2 _at_ LOCALIZED SALMONELLA INFECTIONS
  • 003.20 LOCALIZED SALMONELLA INFECTION,
    UNSPECIFIED
  • 003.21 SALMONELLA MENINGITIS
  • 003.29 OTHER LOCALIZED SALMONELLA INFECTIONS
  • ------Procedures-----
  • 01. _at_ INCISION AND EXCISION OF SKULL, BRAIN,...
  • 01.0 _at_ CRANIAL PUNCTURE
  • 01.01 CISTERNAL PUNCTURE
  • 01.09 OTHER CRANIAL PUNCTURE

6
SNOMED
  • Systematized Nomenclature of Medicine
  • College of American Pathologists
  • Organized into axes
  • Synonyms
  • Assemble complex terms from axes
  • SNOMED-RT (Reference Terminology) under
    development

7
SNOMED - Axes
  • D - Diseases
  • C - Drugs
  • F - Function
  • L - Living Organisms
  • X - Manufacturers
  • G - Modifiers
  • M - Morphology
  • J - Occupations
  • A - Physical Agents
  • P - Procedures
  • S - Social Context
  • T - Topography

8
SNOMED - Examples
  • "D3-15000" "01" "Myocardial infarction,
    NOS" "(T-32020) (M-54700)"
  • "D3-15000" "02" "Infarction of heart,
    NOS" "(T-32020) (M-54700)"
  • "D3-15000" "02" "Cardiac infarction, NOS"
    "(T-32020) (M-54700)
  • "D3-15000" "02" "Heart attack, NOS
    "(T-32020) (M-54700)"
  • "D3-15010" "01" "Microinfarct of heart
    "(T-32000) (M-54701)
  • "C-C137A" "01" "Bufferin Analgesic
    Tablets"
  • "C-C137B" "01" "Bufferin Analgesic
    Caplets"
  • "M-54700" "01" "Infarct, NOS"
  • M-54700" "02" "Infarction, NOS"
  • "M-54700" "05" "Infarcted"
  • "M-54701" "01" "Focal infarct"
  • "M-54701" "02" "Microscopic infarct"
  • "S-10120" "01" "Mother, NOS"

9
MeSH
  • Medical Subject Headings
  • National Library of Medicine
  • Indexing the medical literature
  • Multiple hierarchy
  • Synonyms

10
MeSH Example
  • D011014 Pneumonia
  • D018410 Pneumonia, Bacterial
  • D007877 Legionnaires' Disease
  • D011018 Pneumonia, Pneumococcal
  • D011019 Pneumonia, Mycoplasma
  • D009175 Mycoplasma Infections
  • D011002 Pleuropneumonia,
    Contagious
  • D011022 Pneumonia, Rickettsial
  • D011023 Pneumonia, Staphylococcal
  • D001996 Bronchopneumonia
  • D009956 Ornithosis
  • D011001 Pleuropneumonia
  • D011015 Pneumonia, Aspiration
  • D011017 Pneumonia, Lipid
  • D011020 Pneumonia, Pneumocystis carinii
  • D011024 Pneumonia, Viral

11
UMLS
  • Unified Medical Language System
  • National Library of Medicine
  • Metathesaurus groups terms under single concept
    id
  • No new hierarchy
  • Translation of terms

12
Metathesaurus
  • 80 sources
  • 1,358,891 strings
  • 626,893 concepts
  • Strings have attributes
  • Concepts have attributes, including Relations

13
Metathesaurus
Lexical group
String
String
14
Metathesaurus - MRCON
  • C0153957ENGPL0180790PFS1084242benign
    neoplasm of heart
  • C0153957ENGPL0180790VCS0245316Benign
    neoplasm of heart
  • C0153957ENGPL0180790VOS1446737Benign
    neoplasm of heart, NOS
  • C0153957ENGSL0524277PFS0599118Benign tumor
    of heart
  • C0153957ENGSL0524278PFS0599510Benign tumour
    of heart
  • C0153957ENGsL0018787PFS0900815Heart lt3gt
  • C0153957ENGsL0018787VOS0047194Heart
  • C0153957GERPL1258174PFS1500120Gutartige
    Neubildung Herz

15
Metathesaurus - MRSO
  • C0153957L0018787S0047194ICD10PSD15.13
  • C0153957L0018787S0900815MTHMMU0031580
  • C0153957L0180790S0245316ICD10PXD15.13
  • C0153957L0180790S0245316ICD99PT212.70
  • C0153957L0180790S0245316RCD98SYB727.3
  • C0153957L0180790S1084242MTHPNU0012870
  • C0153957L0180790S1446737SNMI98PTD3-F01003
  • C0153957L0524277S0599118RCDAEPTB727.3
  • C0153957L0524278S0599510RCD98PTB727.3
  • C0153957L1258174S1500120DMDICDPTD15.11

16
Metathesaurus - MRSTY
  • C0153957T191Neoplastic Process

17
(No Transcript)
18
Metathesaurus - MRREL
  • C0002871CHDC0002891isaMSH99MTH
  • C0002871CHDC0002892CSP98
  • C0002871CHDC0002893RCD98
  • C0002871RBC0221016MTHMTH
  • C0002871RLC0002886mapped_toSNMI98SNMI98

19
Uses of Terminology
  • Storing in database
  • Querying database
  • Transferring data
  • Billing
  • Monitoring data
  • Integration of systems

20
MED
  • Medical Entities Dictionary
  • CPMC
  • Multiple hierarchy
  • Synonyms
  • Translations
  • Semantic links
  • Attributes
  • 60,000 concepts

21
MED Structure
Medical Entity
22
Terminology and Automated Decision Support
  • Data monitor checks for triggering conditions
  • Medical Logic Modules decide if warning
    conditions are present
  • Message sent to appropriate channel
  • Example Tuberculosis culture result

23
Caveats TB Example
  • Monitors for delayed culture results
  • Sends message if result not equal to the code No
    growth
  • One day, dozens of alerts about positive results
    but no organism was reported
  • What happened?

24
How the Lab Fooled the Alert
  • Alert looked for results No Growth
  • Lab started reporting No Growth to Date
  • No Growth to Dateltgt No Growth
  • Solution Use the controlled terminology to map
    all No-Growth-like lab terms into a single class,
    and have the alert logic refer to the class.

25
How We Outsmarted the Lab
No Growth to Date
No Growth
26
Linking to On-line Resources with Terminology
  • Clinician reviewing reports will have information
    needs
  • On-line information sources can satisfy that need
  • Data from report can be used to automate the query

27
Medical Entities Dictionary
Chemical
Gentamicin
Random Gentamicin Level Main-MeSH Supplementary-M
eSH "Gentamicin/bl" Measures Gentamicin
Injectable Gentamicin Trade-Name
Garamycin" Has-Ingredient Gentamicin
28
(No Transcript)
29
(No Transcript)
30
(No Transcript)
31
(No Transcript)
32
(No Transcript)
33
Linking Text Reports to On-line Information
Sources
  • Natural Language Processing
  • Data representation to support reuse
  • Codification of information needs

34
(No Transcript)
35
(No Transcript)
36
(No Transcript)
37
(No Transcript)
38
(No Transcript)
39
(No Transcript)
40
(No Transcript)
41
(No Transcript)
42
(No Transcript)
43
(No Transcript)
44
(No Transcript)
45
MED Browsers
  • www.cpmc.columbia.edu/resources/ med/browsers/

46
(No Transcript)
47
Summary
  • Computers need controlled terminologies (CTs)
  • Different CTs for different needs (granularity)
  • Bridging between CTs facilitates bridging between
    applications
  • Consider use of/indexing with CTs in consumer
    applications

48
Questions?
Write a Comment
User Comments (0)
About PowerShow.com