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Whats in IT for me Why SNOMED CT is good for you

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SNOMED CT is a terminological resource that can be implemented in ... peripheral graft arteriogram. femoral-femoral crossover arteriogram. How is it organised? ... – PowerPoint PPT presentation

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Title: Whats in IT for me Why SNOMED CT is good for you


1
Whats in IT for me?Why SNOMED CT is good for
you
  • Dr Richard Gain
  • Subset Development Project Manager
  • SNOMED in Structured electronic Records Programme
  • NHS Connecting for Health

2
What is SNOMED CT?
A conceptual classification
A controlled clinical vocabulary
SNOMED CT is a terminological resource that can
be implemented in software applications to
represent clinically relevant information
reliably and reproducibly.
3
Terminology vs. Coding scheme?
  • Coding schemes categorise concepts usually
    relating to populations or groups of patients
  • ICD-10
  • OPCS-4
  • Terminologies describe concepts related to
    individuals
  • Read
  • SNOMED

4
So whats the problem?
  • Coding done manually
  • ICD and OPCS not designed for clinical noting
  • Data collected to different standards
  • Hospital systems not compatible
  • with each other
  • with Primary Care systems
  • No sharing of information possible

5
Why not just use ICD10 or OPCS4?
  • Language not rich enough to describe clinical
    activities such as patient assessment or delivery
    of care
  • No facility to combine expressions to clarify
    meaning
  • emergency thoracotomy
  • recurrent IGTN left great toenail
  • Updates too slow to respond to rapidly evolving
    areas of clinical practice

6
Dynamic, not static
  • Changing classifications is a slow and arduous
    process
  • ICD9 1977
  • ICD10 1992
  • SNOMED CT is a dynamic terminology
  • Able to respond quickly to
  • Changes in the wider field of medicine
  • Changes in local policy
  • Individual requests for additions

7
Whats wrong with free text?
  • Free text can be an extremely valuable way of
    recording details about individual circumstances,
    but
  • The exact meaning may be ambiguous
  • It can be misinterpreted
  • It cant automatically be analysed for audit or
    payment
  • It cant direct care pathways
  • It cant trigger automatic warnings about
    allergic reactions or interactions
  • In other words, its not the best way of sharing
    information.

8
Sharing information
  • Different systems
  • Different locations
  • Different users
  • One common purpose
  • A single Electronic Patient Record
  • Exchanging information requires
  • INTEROPERABILITY

9
How is the information used?
Direct care
Indirect Care
10
Who benefits from electronic records?
  • Clinicians
  • Patients
  • Carers
  • Clinical coders
  • Administrative staff
  • Researchers
  • Health service analysts

11
Clinicians
  • Improved continuity of care
  • Improved safety and productivity
  • Improved seamless working between public/private
    and primary/secondary care providers
  • Improved quality in clinical audit, research and
    secondary use services

12
Patients
  • Improved safety
  • Improved patient experience
  • Improved confidence in care provided
  • Improved access to care information

13
Secondary users
  • Improved coding accuracy
  • Improved information for planning
  • Improved public health research
  • Change of role for coders?

14
Will it understand what I mean?
  • Clear descriptions of concepts
  • Unambiguous terms
  • Preservation of meaning after communication
  • Multi-lingual
  • (passes the English gt Spanish gt English test)

15
Clarity
  • Fully Specified Name (FSN)
  • Each concept has one unique FSN intended to
    provide an unambiguous way to name a concept. It
    is not necessarily the most commonly used phrase
  • Preferred Term
  • Each concept has one Preferred Term to capture
    the common word or phrase used by clinicians to
    name that concept
  • Synonyms
  • These represent any additional terms that
    represent the same concept as the FSN

16
One concept, many names
  • Some of the descriptions associated with
    ConceptID 22298006
  • Fully Specified Name Myocardial infarction
    (disorder)DescriptionID 751689013
  • Preferred term Myocardial infarctionDescriptio
    nID 37436014
  • Synonym Cardiac infarctionDescriptionID
    37442013
  • Synonym Heart attackDescriptionID 37443015
  • Synonym Infarction of heartDescriptionID
    37441018

17
Avoiding ambiguity
  • To a neurologist
  • Cord compression
  • means Spinal cord compression
  • To a midwife
  • Cord compression
  • means Umbilical cord compression
  • Transmission and sharing of information requires
    consistency of terminology

18
Will the computer limit what I can say?
  • More concepts
  • 400,000 health care concepts
  • More descriptions
  • 1,000,000 clinical terms
  • More information
  • 1,500,000 semantic relationships
  • Contextual modification of expressions
  • possible, FH of, planned, refused, aborted etc.
    etc.

19
Depth of clinical expression
  • peripheral angiography
  • special peripheral angiography procedures
  • peripheral graft arteriogram
  • femoral-femoral crossover arteriogram

20
How is it organised?
  • Multiple top level concepts
  • E.g. Body structure
  • Each with a hierarchy of concepts beneath
  • Strictly organised by IS A relationships
  • Index finger is a kind of Finger
  • Finger is a kind of Hand part etc

21
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22
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23
How is it constructed?
  • Defining and qualifying characteristics are used
    to construct and refine a terminological model of
    medicine
  • Concepts combined with Attribute-Value pairs
  • Procedure with
  • method excision
  • site tonsillar structure
  • Tonsillectomy

24
How is it constructed?
  • Defining and qualifying characteristics are used
    to construct and refine a terminological model of
    medicine
  • Concepts combined with Attribute-Value pairs
  • Procedure with
  • method excision
  • site both tonsils
  • using laser device
  • Bilateral laser tonsillectomy
  • which is a kind of Tonsillectomy
  • Allows computers to process medical information

25
What are subsets?
  • A group of things chosen for their relevance to a
    specific group of people
  • Break terminology into relevant blocks
  • Can be used nationally or locally synchronised
    national releases
  • Do not prevent the use of the rest of SNOMED
    codes
  • Searching in a subset makes it easier to find
    what youre looking for by filtering out
    irrelevant terms.

26
How will it be delivered?
  • Some general principles apply
  • Data entry field in the record provides context
  • finding diagnosis procedure
  • Search for best term subsets can help here
  • Add qualifiers or free text
  • In well-constrained, frequently used areas
  • templates / data entry forms are faster

27
What are the unexpected benefits?
  • Much less duplication of entry of information
  • Much less time spent looking for relevant
    information
  • Safety enhancement through decision support
  • Enhanced mobility of data between clinicians and
    units
  • More detailed performance monitoring
  • Reduction in misunderstanding and possible
    litigation
  • Consistent internationally recognisable research
    strings

28
The long term vision
  • SNOMED CT becomes the clinical coding standard
  • Systems embrace the full potential of the
    standard
  • (subsets, post-coordination)
  • Increase in the quantity of data that is coded
  • Adoption of a Common User Interface

29
Are we winning?
  • We will know we have succeeded when clinical
    terminologies in software are used and
    re-used,and when multiple independently
    developed medical records, decision support, and
    clinical information retrieval systems sharing
    the same information using the same terminology
    are in routine use.
  • Alan Rector 2000
  • Clinical Terminology Why is it so hard?

30
Further information
  • You can contact the SNOMED in Structured
    electronic Records Programme by sending an email
    to
  • sserp_at_nhs.net
  • There are still some places available at the NHS
    CFH SNOMED Conference, Quality Data, Quality
    Care here in the NEC on 6th March 2007.
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