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Standards & Coding Systems
in Biomedical and Health Informatics


         นพ.นวนรรน ธีระอัมพรพันธุ์
     บรรยาย ณ สถาบันทันตกรรม ในหลักสูตรทันตสารสนเทศศาสตร์
                       24 กุมภาพันธ์ 2555
A Few Words About Me...
2003 M.D. (1st-Class Honors) Ramathibodi
2009 M.S. (Health Informatics) University of Minnesota
2011 Ph.D. (Health Informatics) University of Minnesota
Currently
• Medical Systems Analyst, Health Informatics Division, Ramathibodi
Contacts
        ranta@mahidol.ac.th
        SlideShare.net/Nawanan
        www.tc.umn.edu/~theer002
        groups.google.com/group/ThaiHealthIT
Manufacturing




                Image Source: Guardian.co.uk
Banking




          Image Source: Cablephet.com
Healthcare




             ER - Image Source: nj.com
Why Healthcare Isn’t Like Any Others?
  Life-or-Death
  Many & varied stakeholders
  Strong professional values
  Evolving standards of care
  Fragmented, poorly-coordinated systems
  Large, ever-growing & changing body of
   knowledge
  High volume, low resources, little time
Why Healthcare Isn’t Like Any Others?
 Large variations & contextual dependence



        Input       Process     Output

        Patient     Decision-   Biological
     Presentation    Making     Responses
But...Are We That Different?
                    Banking

       Input         Process            Output

                       Transfer


      Location A                        Location B
                    Value-Add
                   - Security
                   - Convenience
                   - Customer Service
But...Are We That Different?
                 Manufacturing

        Input          Process      Output

     Raw Materials     Assembling   Finished
                                     Goods


                      Value-Add
                     - Innovation
                     - Design
                     - QC
But...Are We That Different?
                       Healthcare

        Input               Process                     Output

      Sick Patient         Patient Care                Well Patient


                           Value-Add
              - Technology & medications
              - Clinical knowledge & skills
              - Quality of care; process improvement
              - Information
Information is Everywhere
Types of Healthcare Information
   Clinical Information
     Demographics, History, Physical Exam
     Laboratory tests & Other Investigations (e.g. ECG), Imaging
     Diagnoses, Medications, Treatments
     Genomics
   Information about Healthcare Organizations & Operations
   Public Health Information - Epidemiology, Environmental
   Research Information - Basic Science, Clinical Research, Public Health
   Generic Health Information (e.g. Patient education materials)
   Knowledge Bases (e.g. PubMed) & Professional Education Materials
Various Forms of Health IT



Hospital Information System (HIS)     Computerized Provider Order Entry (CPOE)




                                    Electronic
                                      Health
                                     Records        Picture Archiving and
                                     (EHRs)        Communication System
                                                           (PACS)
Still Many Other Forms of Health IT

                                                                          Health Information
                                                                           Exchange (HIE)



          m-Health

                                                                           Biosurveillance

Personal Health Records
        (PHRs)



                                                                      Telemedicine &
 Information Retrieval                                                  Telehealth

                          Images from Apple Inc., Geekzone.co.nz, Google, PubMed.gov, and American Telecare, Inc.
Health IT: What’s In A Word?

                                Goal


                               Value-Add



                                 Tools
Recap
  Healthcare is complex and information-rich
  Healthcare information is heterogeneous
  Health IT is a tool to add value to care delivery
  Health IT comes in many different shapes and
   forms, many must integrate with one another
  Yet healthcare is highly fragmented...
  That’s why we need “STANDARDS”
Standards Are Everywhere
Standards: Why?
 The Large N Problem
  N = 2, Interface = 1


  N = 3, Interface = 3


                                               N = 5, Interface = 10

                           # Interfaces = N(N-1)/2
                         N = 100, Interface = 4,950
Health Information Exchange (HIE)

                   Government

   Hospital A                     Hospital B




                                    Clinic C
     Lab        Patient at Home
The Goal Is...
   Interoperability
   Inter-operable systems
Types of Standards
  De facto (informal/in practice) standards
    Dominant custom, convention, product, system
    e.g. Microsoft Word, QWERTY keyboard
  De jure (formal) standards
    Developed by recognized standard developing
     organizations
    Maybe obligatory/regulatory, or voluntary
Standard-Developing Organizations (SDOs)
  Develops, coordinates, revises, interprets &
   maintains standards that address interests outside its
   own organization
  Clear scope
  Formal standards development process
  International, regional, national authorities
  Examples: ISO, IEC, ITU, IEEE, IETF, W3C, ANSI, NIST,
   HL7, ASTM
Sample Standards Development Process
                                           Public
                     Working Group
   Draft Proposal                        Comment/
                     Consideration
                                          Balloting




                      (Additional
                                       Working Group
    Test/Trial Use    Balloting or
                                        Amendment
                       Approval)




                     (Enforcement/      Evaluation/
    Deployment
                      Certification)    Maintenance
Various Kinds of Standards
 Unique Identifiers
 Standard Data Sets
 Vocabularies & Terminologies
 Exchange Standards
   Message Exchange
   Document Exchange
 Functional Standards
 Technical Standards: Data Communications, Encryption
DIKW Pyramid

                Wisdom

               Knowledge

               Information

                  Data
Levels of Interoperability

              Functional

              Semantic

               Syntactic
Unique Identifiers
 A unique convention to identify a class of objects
 E.g. serial numbers, national citizen ID, HN (MRN), NDC
 Unique within scope of intended operations e.g. a hospital, a
  company, a city, a country, or globally
 May or may not be “smart numbers” (digits with meaning).
  Smart numbers are bad practices.
 May or may not have “check digits” (digits used to prevent
  data entry errors)
 In general, not supposed to be confidential (except U.S.
  Social Security Numbers, credit card numbers)
Standard Data Sets
 Sometimes called minimum data sets
 Data structure (fields, formats, meanings) for a specific
  purpose
 E.g. Ministry of Public Health’s 12-file or 18-file reports
Vocabularies & Terminologies
   Controlled Vocabulary
       A set of terms used in a specific area where the use of each term is predefined, and the set
        maintained by the responsible party
   Taxonomy
       A hierarchical system to classify objects in a specific area
   Terminology
       A system or study of terms used to label concepts and their meanings in a specific area
   Ontology
       “A formal representation of knowledge as a set of concepts within a domain, and the
        relationships between those concepts.” (Wikipedia)
   Coding System
       A system to identify how to represent an object or concept
Examples
   ICD-10, ICD-9
       Classification System
       Coding System
       Taxonomy
   CPT (Current Procedural Terminology)
       Classification System
       Coding System
       Taxonomy
   SNOMED CT (Systematized Nomenclature of Medicine - Clinical Terms)
       Controlled Vocabulary
       Terminology
   LOINC (Logical Observation Identifiers Names and Codes)
       Coding System
   ICNP, ICPC
Exchange Standards
                                      Message

                         Message
                           Government
                                          Message
 Hospital A                                         Hospital B




                                                      Clinic C
   Lab        Message   Patient at Home
                                          Message
Exchange Standards
 Message Exchange
  Goal: Specify format for exchange of data
  Internal vs. external messages
  HL7 v.2, HL7 v.3 Messaging, DICOM, NCPDP
 Document Exchange
  Goal: Specify format for exchange of “documents”
  HL7 v.3 Clinical Document Architecture (CDA), ASTM
   Continuity of Care Record (CCR), HL7 Continuity of Care
   Document (CCD)
Documents vs. Messages
 Clinical Documents
       Human Readable
       (Ideally) Machine Processable
   Messages
       Human UnReadable
       Machine Processable
Sample HL7 v.2 Message (Lab Result)

 OBX|1|NM|10839-9^TROPONIN-I^LN||5|ng/ml|
          0-1.3|H||H|F|19980309…
Sample HL7 v.3 Message (Pt. Regist.)
<?xml version="1.0" encoding="UTF-8"?>
<PRPA_IN101311UV02 xmlns="urn:hl7-org:v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
   ITSVersion="XML_1.0" xsi:schemaLocation="urn:hl7-org:v3 ../schemas/PRPA_IN101311UV02.xsd">
       ...
       <name use="SYL" >
                  <given>นวนรรน</given>
                  <family>ธีระอัมพรพันธุ์</family>
       </name>
       <name use="ABC">
                  <given>Nawanan</given>
                  <family>Theera-Ampornpunt</family>
       </name>
                  <administrativeGenderCode code="M"/>
...
</PRPA_IN101311UV02>
      Message source adapted from Ramathibodi HL7 Project by Supachai Parchariyanon, Kavin Asavanant, Sireerat Srisiriratanakul
      & Chaiwiwat Tongtaweechaikit
Functional Standards
   Aims for functional interoperability
   Example Scenario: Two systems are expected to behave in the same
    way with the same trigger event (e.g. once received an electronic
    message)
   Real-world Example: PDF file viewing by two different viewers
   Informatics Example: HL7 EHR Functional Specifications
How Standards Support Interoperability
                                             Functional Standards (HL7 EHR
                   Functional                   Functional Specifications)

                                            Vocabularies, Terminologies, Coding
                                              Systems (ICD-10, ICD-9, CPT,
                                                 SNOMED CT, LOINC)
                    Semantic                   Information Models (HL7 v.3 RIM,
                                                    ASTM CCR, HL7 CCD)
                                                         Standard Data Sets
                                                             Unique ID
                    Syntactic                    Exchange Standards (HL7 v.2, HL7
                                                 v.3 Messaging, HL7 CDA, DICOM)
                                                             Technical Standards
                                                            (TCP/IP, encryption)
Some may be hybrid: e.g. HL7 v.3, HL7 CCD
More Standards for Self-Study
   Medications & Pharmaceutical
       RxNorm (U.S. National Library of Medicine)
       U.S. National Drug Code (U.S. FDA)
   Labs (& Others)
       LOINC (Regenstrief Institute)
   Clinical Terminologies
       SNOMED CT
   Organizational/Business
       ISO 27799 (Information Security Management in Health)
   Integration
       IHE (Integrating the Healthcare Enterprise)
   OpenEHR (a hybrid of standards for health information in EHRs)
   And many more!

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Standards & Coding Systems in Biomedical and Health Informatics

  • 1. Standards & Coding Systems in Biomedical and Health Informatics นพ.นวนรรน ธีระอัมพรพันธุ์ บรรยาย ณ สถาบันทันตกรรม ในหลักสูตรทันตสารสนเทศศาสตร์ 24 กุมภาพันธ์ 2555
  • 2. A Few Words About Me... 2003 M.D. (1st-Class Honors) Ramathibodi 2009 M.S. (Health Informatics) University of Minnesota 2011 Ph.D. (Health Informatics) University of Minnesota Currently • Medical Systems Analyst, Health Informatics Division, Ramathibodi Contacts ranta@mahidol.ac.th SlideShare.net/Nawanan www.tc.umn.edu/~theer002 groups.google.com/group/ThaiHealthIT
  • 3. Manufacturing Image Source: Guardian.co.uk
  • 4. Banking Image Source: Cablephet.com
  • 5. Healthcare ER - Image Source: nj.com
  • 6. Why Healthcare Isn’t Like Any Others?  Life-or-Death  Many & varied stakeholders  Strong professional values  Evolving standards of care  Fragmented, poorly-coordinated systems  Large, ever-growing & changing body of knowledge  High volume, low resources, little time
  • 7. Why Healthcare Isn’t Like Any Others?  Large variations & contextual dependence Input Process Output Patient Decision- Biological Presentation Making Responses
  • 8. But...Are We That Different? Banking Input Process Output Transfer Location A Location B Value-Add - Security - Convenience - Customer Service
  • 9. But...Are We That Different? Manufacturing Input Process Output Raw Materials Assembling Finished Goods Value-Add - Innovation - Design - QC
  • 10. But...Are We That Different? Healthcare Input Process Output Sick Patient Patient Care Well Patient Value-Add - Technology & medications - Clinical knowledge & skills - Quality of care; process improvement - Information
  • 12. Types of Healthcare Information  Clinical Information  Demographics, History, Physical Exam  Laboratory tests & Other Investigations (e.g. ECG), Imaging  Diagnoses, Medications, Treatments  Genomics  Information about Healthcare Organizations & Operations  Public Health Information - Epidemiology, Environmental  Research Information - Basic Science, Clinical Research, Public Health  Generic Health Information (e.g. Patient education materials)  Knowledge Bases (e.g. PubMed) & Professional Education Materials
  • 13. Various Forms of Health IT Hospital Information System (HIS) Computerized Provider Order Entry (CPOE) Electronic Health Records Picture Archiving and (EHRs) Communication System (PACS)
  • 14. Still Many Other Forms of Health IT Health Information Exchange (HIE) m-Health Biosurveillance Personal Health Records (PHRs) Telemedicine & Information Retrieval Telehealth Images from Apple Inc., Geekzone.co.nz, Google, PubMed.gov, and American Telecare, Inc.
  • 15. Health IT: What’s In A Word? Goal Value-Add Tools
  • 16. Recap  Healthcare is complex and information-rich  Healthcare information is heterogeneous  Health IT is a tool to add value to care delivery  Health IT comes in many different shapes and forms, many must integrate with one another  Yet healthcare is highly fragmented...  That’s why we need “STANDARDS”
  • 18. Standards: Why?  The Large N Problem N = 2, Interface = 1 N = 3, Interface = 3 N = 5, Interface = 10 # Interfaces = N(N-1)/2 N = 100, Interface = 4,950
  • 19. Health Information Exchange (HIE) Government Hospital A Hospital B Clinic C Lab Patient at Home
  • 20. The Goal Is...  Interoperability  Inter-operable systems
  • 21. Types of Standards  De facto (informal/in practice) standards  Dominant custom, convention, product, system  e.g. Microsoft Word, QWERTY keyboard  De jure (formal) standards  Developed by recognized standard developing organizations  Maybe obligatory/regulatory, or voluntary
  • 22. Standard-Developing Organizations (SDOs)  Develops, coordinates, revises, interprets & maintains standards that address interests outside its own organization  Clear scope  Formal standards development process  International, regional, national authorities  Examples: ISO, IEC, ITU, IEEE, IETF, W3C, ANSI, NIST, HL7, ASTM
  • 23. Sample Standards Development Process Public Working Group Draft Proposal Comment/ Consideration Balloting (Additional Working Group Test/Trial Use Balloting or Amendment Approval) (Enforcement/ Evaluation/ Deployment Certification) Maintenance
  • 24. Various Kinds of Standards  Unique Identifiers  Standard Data Sets  Vocabularies & Terminologies  Exchange Standards  Message Exchange  Document Exchange  Functional Standards  Technical Standards: Data Communications, Encryption
  • 25. DIKW Pyramid Wisdom Knowledge Information Data
  • 26. Levels of Interoperability Functional Semantic Syntactic
  • 27. Unique Identifiers  A unique convention to identify a class of objects  E.g. serial numbers, national citizen ID, HN (MRN), NDC  Unique within scope of intended operations e.g. a hospital, a company, a city, a country, or globally  May or may not be “smart numbers” (digits with meaning). Smart numbers are bad practices.  May or may not have “check digits” (digits used to prevent data entry errors)  In general, not supposed to be confidential (except U.S. Social Security Numbers, credit card numbers)
  • 28. Standard Data Sets  Sometimes called minimum data sets  Data structure (fields, formats, meanings) for a specific purpose  E.g. Ministry of Public Health’s 12-file or 18-file reports
  • 29. Vocabularies & Terminologies  Controlled Vocabulary  A set of terms used in a specific area where the use of each term is predefined, and the set maintained by the responsible party  Taxonomy  A hierarchical system to classify objects in a specific area  Terminology  A system or study of terms used to label concepts and their meanings in a specific area  Ontology  “A formal representation of knowledge as a set of concepts within a domain, and the relationships between those concepts.” (Wikipedia)  Coding System  A system to identify how to represent an object or concept
  • 30. Examples  ICD-10, ICD-9  Classification System  Coding System  Taxonomy  CPT (Current Procedural Terminology)  Classification System  Coding System  Taxonomy  SNOMED CT (Systematized Nomenclature of Medicine - Clinical Terms)  Controlled Vocabulary  Terminology  LOINC (Logical Observation Identifiers Names and Codes)  Coding System  ICNP, ICPC
  • 31. Exchange Standards Message Message Government Message Hospital A Hospital B Clinic C Lab Message Patient at Home Message
  • 32. Exchange Standards  Message Exchange  Goal: Specify format for exchange of data  Internal vs. external messages  HL7 v.2, HL7 v.3 Messaging, DICOM, NCPDP  Document Exchange  Goal: Specify format for exchange of “documents”  HL7 v.3 Clinical Document Architecture (CDA), ASTM Continuity of Care Record (CCR), HL7 Continuity of Care Document (CCD)
  • 33. Documents vs. Messages  Clinical Documents  Human Readable  (Ideally) Machine Processable  Messages  Human UnReadable  Machine Processable
  • 34. Sample HL7 v.2 Message (Lab Result) OBX|1|NM|10839-9^TROPONIN-I^LN||5|ng/ml| 0-1.3|H||H|F|19980309…
  • 35. Sample HL7 v.3 Message (Pt. Regist.) <?xml version="1.0" encoding="UTF-8"?> <PRPA_IN101311UV02 xmlns="urn:hl7-org:v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" ITSVersion="XML_1.0" xsi:schemaLocation="urn:hl7-org:v3 ../schemas/PRPA_IN101311UV02.xsd"> ... <name use="SYL" > <given>นวนรรน</given> <family>ธีระอัมพรพันธุ์</family> </name> <name use="ABC"> <given>Nawanan</given> <family>Theera-Ampornpunt</family> </name> <administrativeGenderCode code="M"/> ... </PRPA_IN101311UV02> Message source adapted from Ramathibodi HL7 Project by Supachai Parchariyanon, Kavin Asavanant, Sireerat Srisiriratanakul & Chaiwiwat Tongtaweechaikit
  • 36. Functional Standards  Aims for functional interoperability  Example Scenario: Two systems are expected to behave in the same way with the same trigger event (e.g. once received an electronic message)  Real-world Example: PDF file viewing by two different viewers  Informatics Example: HL7 EHR Functional Specifications
  • 37. How Standards Support Interoperability Functional Standards (HL7 EHR Functional Functional Specifications) Vocabularies, Terminologies, Coding Systems (ICD-10, ICD-9, CPT, SNOMED CT, LOINC) Semantic Information Models (HL7 v.3 RIM, ASTM CCR, HL7 CCD) Standard Data Sets Unique ID Syntactic Exchange Standards (HL7 v.2, HL7 v.3 Messaging, HL7 CDA, DICOM) Technical Standards (TCP/IP, encryption) Some may be hybrid: e.g. HL7 v.3, HL7 CCD
  • 38. More Standards for Self-Study  Medications & Pharmaceutical  RxNorm (U.S. National Library of Medicine)  U.S. National Drug Code (U.S. FDA)  Labs (& Others)  LOINC (Regenstrief Institute)  Clinical Terminologies  SNOMED CT  Organizational/Business  ISO 27799 (Information Security Management in Health)  Integration  IHE (Integrating the Healthcare Enterprise)  OpenEHR (a hybrid of standards for health information in EHRs)  And many more!