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SNOMED CT –
EMPOWERING
CLINICIANSDr SB Bhattacharyya
MBBS, MBA, FCGP
Member, National EHR Standardisation Committee, MoH&FW, GoI
Member, Health Informatics Sectional Committee, MHD 17, BIS
Hony. State Secretary (2015), IMA Haryana
President (2010 – 2011), IAMI
SNOMED CT
■ SNOMED CT is a semantically interoperable polyhierarchical
subtype multi-lexical clinical terminology system that is able to
deliver robust benefits to the health care services.
■ SNOMED CT is a reference terminology for clinical terms and
consists of terms used in health and health care.
Dr SB Bhattacharyya© 2
Why SNOMED CT?
■ Natural language for end-users
– Doctors
– Dentists
– Nurses
– Paramedics
■ Since clinical documentation systems document the clinical
thoughts of the observers, a concept-based system works best,
not a term-based or classification-based one
■ For clinical analytics, evidence based medicine, clinical decision
support, etc., the correct idea is vital, not a prefixed term
Dr SB Bhattacharyya© 3
Advantages for Clinicians
■ Users get to choose the terms that they are most comfortable
with in their own language/dialect
■ Users can express their clinical thoughts very precisely using
expressions
Dr SB Bhattacharyya© 4
SNOMED CT Components – Core
■ Concepts
– Concept Ids – meaningless machine-processable numbers
■ Descriptions (Terms)
– Human-processable terms
■ Relationships
– Between concepts: source to destination
Dr SB Bhattacharyya© 5
SNOMED CT Terms
■ Fully Specified Name (FSN) – identified by having the term
suffixed by its top-level hierarchy enclosed in parenthesis thus -
“(disorder)”, “(body structure)”, “(procedure)”, etc.
■ Preferred Term (PT)
■ Acceptable (Terms) – synonyms
Dr SB Bhattacharyya© 6
SNOMED CT Logical Model
Dr SB Bhattacharyya© 7
SNOMED CT Relationships
Infective pneumonia (disorder)
Lung (body structure)
Infection (disorder)Respiratory disease (disorder)
Virus (organism)
Viral pneumonia (disorder)
Dr SB Bhattacharyya© 8
SNOMED CT Relationships (schematic)
Dr SB Bhattacharyya© 9
SNOMED CT – Attribute Value-Range
DOMAIN
(hierarchy)
ATTRIBUTE
RANGE
(concept of hierarchy)
<< This concept or
one of its
descendants
| Clinical finding | | FINDING SITE |
<< 442083009
| Anatomical or
acquired body
structure |
| Body structure | | LATERALITY | < 182353008 |Side|
< Descendants
only. Not the
concept itself
Dr SB Bhattacharyya© 10
The clinical thoughts are expressed
using SNOMED CT
Dr SB Bhattacharyya© 11
SNOMED CT Expressions
■ Pre-coordinated
– Coordination already done : composed before-the-fact
– Through its ~ 1 million terms, most thoughts can be
expressed using just this
■ Post-coordinated
– Coordination done on-the-fly by the users choosing various
rules-based alternatives: composed after-the-fact
– Required intermittently, especially when the thought is a
complex one and requires further refinement or
qualification or combination with other terms
Dr SB Bhattacharyya© 12
Expressions
■ The actual “code” of SNOMED CT and consists of either
– ConceptId only
102556003
or
– ConceptId | Description (Term) |
102556003 | pain in upper limb |
■ Needs to adhere to compositional grammar rules and expression
constraint syntax
■ Never to be seen by any user, clinician or otherwise, ever
Dr SB Bhattacharyya© 13
Clinicians need to work only with the
terms that number more than one
million…
Dr SB Bhattacharyya© 14
Clinical Thought
■ Viral pneumonia
Dr SB Bhattacharyya© 15
What the Clinicians gets to see…
■ Pain in upper limb
Dr SB Bhattacharyya© 16
What the Machine works with…
■ 75570004
Dr SB Bhattacharyya© 17
Clinical Thought
■ Family history of hypertension
Dr SB Bhattacharyya© 18
Requires Post-coordinated Expression
This thought includes two separate concepts :
1. Family history
2. Hypertension
These need be combined, the following postcoordinated expression needs
to be created as below and used to represent this family history –
281666001 | family history of disorder | : 246090004 | associated
finding | = 38341003 | hypertension |
This can also be written as –
281666001 : 246090004 = 38341003
Dr SB Bhattacharyya© 19
What the Clinicians gets to choose from
(list created by combining two separate
SNOMED CT terms)…
■ Family History of Disorder : BP - High
Blood Pressure
■ Family History of Disorder : BP+ -
Hypertension
■ Family History of Disorder : HBP - High
Blood Pressure
■ Family History of Disorder : High Blood
Pressure
■ Family History of Disorder : High Blood
Pressure Disorder
■ Family History of Disorder : HT -
Hypertension
■ Family History of Disorder : HTN -
Hypertension
■ Family History of Disorder :
Hypertension
■ Family History of Disorder :
Hypertensive Disorder
■ Family History of Disorder :
Hypertensive Disorder, Systemic Arterial
■ Family History of Disorder :
Hypertensive Vascular Degeneration
■ Family History of Disorder :
Hypertensive Vascular Disease
■ Family History of Disorder : Systemic
Arterial Hypertension
Dr SB Bhattacharyya© 20
What the Machine Works with…
■ 281666001 : 246090004 = 38341003
Dr SB Bhattacharyya© 21
Comments On SNOMED CT Expressions
■ NOT to be seen by any user ever
■ Akin to stuff that are handled by the machine far away from any user’s eyes,
like HL7 messages that appear as but are never ever seen by any system user:
MSH|^~&|GHH LAB|ELAB-3|GHH
OE|BLDG4|200202150930||ORU^R01|CNTRL-3456|P|2.4<cr>
PID|||555-44-4444||EVERYWOMAN^EVE^E^^^^L|JONES|19620320|F|||153
FERNWOOD DR.^
^STATESVILLE^OH^35292||(206)3345232|(206)752-121||||AC555444444||67-
A4335^OH^20030520<cr>
OBR|1|845439^GHH OE|1045813^GHH
LAB|15545^GLUCOSE|||200202150730|||||||||
555-55-5555^PRIMARY^PATRICIA P^^^^MD^^|||||||||F||||||444-44-
4444^HIPPOCRATES^HOWARD H^^^^MD<cr>
OBX|1|SN|1554-5^GLUCOSE^POST 12H
CFST:MCNC:PT:SER/PLAS:QN||^182|mg/dl|70_105|H|||F<cr>
Dr SB Bhattacharyya© 22
Impact on Analytics
■ SNOMED CT has concept-based polyhierarchical structure based
on a formal description logic and ability to support multiple
languages
■ These permit broad aggregation of clinical observations, context-
based interpretation of data, testing whether a particular
observation is equivalent to or subsumed by some predefined set
of clinical observations
■ Its multi-lingual nature permits queries to be made in any
language without worrying about the language used in the record
Dr SB Bhattacharyya© 23
Impact on Analytics
■ Ability to code all parts of a clinical record permits all data to be
analysed to discover clinical knowledge in them
■ Point-of-care Analytics, Population Analytics, Observational
Clinical Research, Semantic Search are all possible now
Dr SB Bhattacharyya© 24
Observations On SNOMED CT
■ Not a piece of software, only a part of it
■ Akin to a gear-box of a car – on its own does nothing, when placed properly
and used judiciously, it helps deliver quite a punch
■ A terminology coding system that greatly helps in automating various clinical
processes including record-keeping, diagnostics, treatment planning, clinical
decision support, clinical data analytics, services billing, health surveillance,
etc.
■ Can code all parts of a clinical document covering terms ranging from abscess
to zygote and aspects from reason for visit to outcome
■ Empower care providers to deliver best-of-possible care through the use of
analytics and machine learning
Dr SB Bhattacharyya© 25
Note that ICD / LOINC ≠ SNOMED CT
ICD / LOINC
■ A meaning-based classification
system where the literal meaning
of the term used is taken into
consideration
■ Useful for reporting purposes
■ Code system for medical records
department
SNOMED CT
■ A concept-based terminology
system where the meaning of the
concept behind the term is taken
into consideration
■ Useful for clinical decision
support and analytics, besides
reporting
■ Code system for care providers
Dr SB Bhattacharyya© 26
References
■ Images are all courtesy IHTSDO, used with their kind permission
■ Matter generally based on “Introduction to SNOMED CT” by Dr SB
Bhattacharyya
Dr SB Bhattacharyya© 27
Introduction to SNOMED CT
by Dr SB Bhattacharyya available at
■ http://www.amazon.com/Introduction-SNOMED-CT-S-B-
Bhattacharyya/dp/9812878939/ref=sr_1_1?ie=UTF8&qid=1453269681&sr=8-
1&keywords=introduction+to+snomed+ct – hardcopy only
■ http://www.amazon.in/Introduction-SNOMED-CT-2016-
Bhattacharyya/dp/9812878939/ref=sr_1_1?ie=UTF8&qid=1453269722&sr=8-
1&keywords=introduction+to+snomed+ct – hardcopy only
■ http://www.springer.com/gp/book/9789812878939 – ebook and hardcopy
■ http://link.springer.com/book/10.1007/978-981-287-895-3 – chapter-wise
online access only
Dr SB Bhattacharyya© 28
sbbhattacharyya@gmail.com
Dr SB Bhattacharyya© 29
Dr SB Bhattacharyya© 30
Thanks!

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Snomed ct - empowering clinicians

  • 1. SNOMED CT – EMPOWERING CLINICIANSDr SB Bhattacharyya MBBS, MBA, FCGP Member, National EHR Standardisation Committee, MoH&FW, GoI Member, Health Informatics Sectional Committee, MHD 17, BIS Hony. State Secretary (2015), IMA Haryana President (2010 – 2011), IAMI
  • 2. SNOMED CT ■ SNOMED CT is a semantically interoperable polyhierarchical subtype multi-lexical clinical terminology system that is able to deliver robust benefits to the health care services. ■ SNOMED CT is a reference terminology for clinical terms and consists of terms used in health and health care. Dr SB Bhattacharyya© 2
  • 3. Why SNOMED CT? ■ Natural language for end-users – Doctors – Dentists – Nurses – Paramedics ■ Since clinical documentation systems document the clinical thoughts of the observers, a concept-based system works best, not a term-based or classification-based one ■ For clinical analytics, evidence based medicine, clinical decision support, etc., the correct idea is vital, not a prefixed term Dr SB Bhattacharyya© 3
  • 4. Advantages for Clinicians ■ Users get to choose the terms that they are most comfortable with in their own language/dialect ■ Users can express their clinical thoughts very precisely using expressions Dr SB Bhattacharyya© 4
  • 5. SNOMED CT Components – Core ■ Concepts – Concept Ids – meaningless machine-processable numbers ■ Descriptions (Terms) – Human-processable terms ■ Relationships – Between concepts: source to destination Dr SB Bhattacharyya© 5
  • 6. SNOMED CT Terms ■ Fully Specified Name (FSN) – identified by having the term suffixed by its top-level hierarchy enclosed in parenthesis thus - “(disorder)”, “(body structure)”, “(procedure)”, etc. ■ Preferred Term (PT) ■ Acceptable (Terms) – synonyms Dr SB Bhattacharyya© 6
  • 7. SNOMED CT Logical Model Dr SB Bhattacharyya© 7
  • 8. SNOMED CT Relationships Infective pneumonia (disorder) Lung (body structure) Infection (disorder)Respiratory disease (disorder) Virus (organism) Viral pneumonia (disorder) Dr SB Bhattacharyya© 8
  • 9. SNOMED CT Relationships (schematic) Dr SB Bhattacharyya© 9
  • 10. SNOMED CT – Attribute Value-Range DOMAIN (hierarchy) ATTRIBUTE RANGE (concept of hierarchy) << This concept or one of its descendants | Clinical finding | | FINDING SITE | << 442083009 | Anatomical or acquired body structure | | Body structure | | LATERALITY | < 182353008 |Side| < Descendants only. Not the concept itself Dr SB Bhattacharyya© 10
  • 11. The clinical thoughts are expressed using SNOMED CT Dr SB Bhattacharyya© 11
  • 12. SNOMED CT Expressions ■ Pre-coordinated – Coordination already done : composed before-the-fact – Through its ~ 1 million terms, most thoughts can be expressed using just this ■ Post-coordinated – Coordination done on-the-fly by the users choosing various rules-based alternatives: composed after-the-fact – Required intermittently, especially when the thought is a complex one and requires further refinement or qualification or combination with other terms Dr SB Bhattacharyya© 12
  • 13. Expressions ■ The actual “code” of SNOMED CT and consists of either – ConceptId only 102556003 or – ConceptId | Description (Term) | 102556003 | pain in upper limb | ■ Needs to adhere to compositional grammar rules and expression constraint syntax ■ Never to be seen by any user, clinician or otherwise, ever Dr SB Bhattacharyya© 13
  • 14. Clinicians need to work only with the terms that number more than one million… Dr SB Bhattacharyya© 14
  • 15. Clinical Thought ■ Viral pneumonia Dr SB Bhattacharyya© 15
  • 16. What the Clinicians gets to see… ■ Pain in upper limb Dr SB Bhattacharyya© 16
  • 17. What the Machine works with… ■ 75570004 Dr SB Bhattacharyya© 17
  • 18. Clinical Thought ■ Family history of hypertension Dr SB Bhattacharyya© 18
  • 19. Requires Post-coordinated Expression This thought includes two separate concepts : 1. Family history 2. Hypertension These need be combined, the following postcoordinated expression needs to be created as below and used to represent this family history – 281666001 | family history of disorder | : 246090004 | associated finding | = 38341003 | hypertension | This can also be written as – 281666001 : 246090004 = 38341003 Dr SB Bhattacharyya© 19
  • 20. What the Clinicians gets to choose from (list created by combining two separate SNOMED CT terms)… ■ Family History of Disorder : BP - High Blood Pressure ■ Family History of Disorder : BP+ - Hypertension ■ Family History of Disorder : HBP - High Blood Pressure ■ Family History of Disorder : High Blood Pressure ■ Family History of Disorder : High Blood Pressure Disorder ■ Family History of Disorder : HT - Hypertension ■ Family History of Disorder : HTN - Hypertension ■ Family History of Disorder : Hypertension ■ Family History of Disorder : Hypertensive Disorder ■ Family History of Disorder : Hypertensive Disorder, Systemic Arterial ■ Family History of Disorder : Hypertensive Vascular Degeneration ■ Family History of Disorder : Hypertensive Vascular Disease ■ Family History of Disorder : Systemic Arterial Hypertension Dr SB Bhattacharyya© 20
  • 21. What the Machine Works with… ■ 281666001 : 246090004 = 38341003 Dr SB Bhattacharyya© 21
  • 22. Comments On SNOMED CT Expressions ■ NOT to be seen by any user ever ■ Akin to stuff that are handled by the machine far away from any user’s eyes, like HL7 messages that appear as but are never ever seen by any system user: MSH|^~&|GHH LAB|ELAB-3|GHH OE|BLDG4|200202150930||ORU^R01|CNTRL-3456|P|2.4<cr> PID|||555-44-4444||EVERYWOMAN^EVE^E^^^^L|JONES|19620320|F|||153 FERNWOOD DR.^ ^STATESVILLE^OH^35292||(206)3345232|(206)752-121||||AC555444444||67- A4335^OH^20030520<cr> OBR|1|845439^GHH OE|1045813^GHH LAB|15545^GLUCOSE|||200202150730||||||||| 555-55-5555^PRIMARY^PATRICIA P^^^^MD^^|||||||||F||||||444-44- 4444^HIPPOCRATES^HOWARD H^^^^MD<cr> OBX|1|SN|1554-5^GLUCOSE^POST 12H CFST:MCNC:PT:SER/PLAS:QN||^182|mg/dl|70_105|H|||F<cr> Dr SB Bhattacharyya© 22
  • 23. Impact on Analytics ■ SNOMED CT has concept-based polyhierarchical structure based on a formal description logic and ability to support multiple languages ■ These permit broad aggregation of clinical observations, context- based interpretation of data, testing whether a particular observation is equivalent to or subsumed by some predefined set of clinical observations ■ Its multi-lingual nature permits queries to be made in any language without worrying about the language used in the record Dr SB Bhattacharyya© 23
  • 24. Impact on Analytics ■ Ability to code all parts of a clinical record permits all data to be analysed to discover clinical knowledge in them ■ Point-of-care Analytics, Population Analytics, Observational Clinical Research, Semantic Search are all possible now Dr SB Bhattacharyya© 24
  • 25. Observations On SNOMED CT ■ Not a piece of software, only a part of it ■ Akin to a gear-box of a car – on its own does nothing, when placed properly and used judiciously, it helps deliver quite a punch ■ A terminology coding system that greatly helps in automating various clinical processes including record-keeping, diagnostics, treatment planning, clinical decision support, clinical data analytics, services billing, health surveillance, etc. ■ Can code all parts of a clinical document covering terms ranging from abscess to zygote and aspects from reason for visit to outcome ■ Empower care providers to deliver best-of-possible care through the use of analytics and machine learning Dr SB Bhattacharyya© 25
  • 26. Note that ICD / LOINC ≠ SNOMED CT ICD / LOINC ■ A meaning-based classification system where the literal meaning of the term used is taken into consideration ■ Useful for reporting purposes ■ Code system for medical records department SNOMED CT ■ A concept-based terminology system where the meaning of the concept behind the term is taken into consideration ■ Useful for clinical decision support and analytics, besides reporting ■ Code system for care providers Dr SB Bhattacharyya© 26
  • 27. References ■ Images are all courtesy IHTSDO, used with their kind permission ■ Matter generally based on “Introduction to SNOMED CT” by Dr SB Bhattacharyya Dr SB Bhattacharyya© 27
  • 28. Introduction to SNOMED CT by Dr SB Bhattacharyya available at ■ http://www.amazon.com/Introduction-SNOMED-CT-S-B- Bhattacharyya/dp/9812878939/ref=sr_1_1?ie=UTF8&qid=1453269681&sr=8- 1&keywords=introduction+to+snomed+ct – hardcopy only ■ http://www.amazon.in/Introduction-SNOMED-CT-2016- Bhattacharyya/dp/9812878939/ref=sr_1_1?ie=UTF8&qid=1453269722&sr=8- 1&keywords=introduction+to+snomed+ct – hardcopy only ■ http://www.springer.com/gp/book/9789812878939 – ebook and hardcopy ■ http://link.springer.com/book/10.1007/978-981-287-895-3 – chapter-wise online access only Dr SB Bhattacharyya© 28
  • 30. Dr SB Bhattacharyya© 30 Thanks!