1 / 14

MOHH – Models Submission

Explore the strategic vision of patients moving seamlessly across the healthcare system in Singapore, enabled by National Electronic Health Record Standards Products. Learn about key standards and clinical modeling frameworks. Ensure semantic interoperability and submission overview for comprehensive patient care.

kizzy
Télécharger la présentation

MOHH – Models Submission

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. MOHH – Models Submission Dr Linda Bird 9th August 2012

  2. Singapore’s Future Healthcare Landscape Strategic vision of patients moving seamlessly across the healthcare system, receiving coordinated patient-centric care at the most appropriate settings. Enabled by the National Electronic Health Record(EHR)

  3. Standards Products • Diagnosis - SNOMED CT and Singapore Extension (SE) • Drugs - Singapore Drug Dictionary (SDD) • Allergic Reactions– SNOMED CT + SE • Allergens - SNOMED CT + SDD • Laboratory Results – LOINC • Data Dictionary – MOHH Data Dictionary • Procedures - TBD • Reason for visit - SNOMED CT • Symptoms and Problems - SNOMED CT and Singapore Extension • Laboratory Reports – Smart SNOMED CT • Laboratory Orders – SNOMED CT • Radiology Orders - SNOMED CT

  4. LIM Development Process

  5. Clinical Modelling Framework Clinical Modelling Language (LOM) Clinician Verification Lim Repository Graphical Represent-ations Instance of References Store representation Generate Clinician Input Singapore Logical Information Model Computable Implementation Specification Requirements Generate Input Constrain References Bind semantics Bind values Logical Reference Model (ISO13606+21090) Terminology Ontology Terminology Server Store

  6. Clinician Validation of the LIM

  7. WYSIWYG NDDS snippet NXDS LXML XSD NXDS LXML Instance

  8. IsoSemantic Models – Example of Problem e.g. “Suspected Lung Cancer”

  9. IsoSemantic Models – Example Instances e.g. “Suspected Lung Cancer”

  10. IsoSemantic Models – Compositional Grammar • Problem Diagnosis = $ProblemDiagnosisName: • 246090004|associated_finding|= • (404684003|clinical_finding|: • 63698007|finding_site|=($BodySite: • 272741003|laterality|=$Laterality), • 246112005|severity|=$Severity), • 408729009|finding_context|=$FindingContext

  11. IsoSemantic Models – Equivalence Testing • Problem Diagnosis = $ProblemDiagnosisName: • 246090004 |associated finding| = (404684003|Clinical Finding|: • 363698007 | finding site | = ($BodySite: • 272741003|laterality| = $Laterality), • 246112005 | severity| = $Severity), • 408729009 | finding context | = $FindingContext • GP Problem Diagnosis= 86049000|Cancer| : • 246090004 |associated finding| = (404684003|Clinical Finding|: • 363698007 | finding site | = 39607008|Lung|), • 408729009 | finding context | = 415684004|Suspected| • Polyclinic Problem Diagnosis= 162572001 |Suspected cancer|: • 246090004 |associated finding| = (404684003|Clinical Finding|: • 363698007 | finding site | = 39607008|Lung|) • RH Problem Diagnosis= 86049000|Suspected lung cancer|

  12. Bi-directional Semantic Interoperability Source Data Maps In NEHR Design Patterns - Diagnosis Research Semantics DP-based GP - Source Data National Term GP - Source Data Maps out Transformed GP - Source Data in RH format Transformed GP - Source Data in Polyclinic format

  13. Submission Overview • ENTRY • Observation Entry (Observable Name/Value) • Heart Rate/ Blood Pressure / Blood Glucose • Clinical Finding • Problem Diagnosis Entry • Adverse Reaction Entry • Alert Entry • Activity • Pharmacy Activity Entry • Pharmacy Order Entry • Pharmacy Dispense Entry • Pharmacy Administration Entry • Investigation Activity Entry • Investigation Order Entry • Investigation Result Entry • Procedure Entry (Reference Pattern) • CLUSTER • Pharmacy Item / Investigation Test Item

More Related