IHIC 2011 Orlando, FL

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Transcription:

CDA Implementation Guide for Genetic Testing Report (GTR): Towards a Clinical Genomic Statement IHIC 2011 Orlando, FL Amnon Shabo (Shvo), PhD shabo@il.ibm.com HL7 Clinical Genomics WG Co-chair and Modeling Facilitator HL7 Structured Documents WG CDA R2 Co-editor CCD Implementation Guide Co-editor

GTR & HL7 Clinical Genomics v3 Static Models Utilize Family History Utilize Utilize Genetic Loci Reference Reference CDA IG GTR Constrained RCRIM LAB Utilize Utilize GeneticVariation Implementation Topic Normative DSTU Comments Other domains Genetic Locus Constrained Gene Expression Implementation Topic Domain Information Model: Genome Utilize Phenotype (utilizing the HL7 Clinical Statement) 2

CG and EHR: Encapsulate & Bubble-up! Genomic Data Sources HL7 CG Messages with mainly Encapsulating HL7 Objects Encapsulation by predefined & constrained bioinformatics schemas the challenge Knowledge (KBs, Ontologies, registries, reference DBs, Papers, etc.) EHR System Clinical Practices HL7 CG Messages with encapsulated data associated with HL7 clinical objects (phenotypes) Human-readable GTR document Bubbling-up is done continuously by specialized CDS applications Decision Support Applications Bubble up the most clinically-significant raw genomic data into specialized HL7 objects and link them with clinical data from the patient EHR 3

CDA IG: Genetic Testing Report (GTR) Define an implementation guide for genetic testing reports that is both human readable and machineprocessable Target at all types of GTR producers, e.g., genetic labs, clin. geneticists Readable content is larger in scope E.g., detailed description of the tests performed along with references Machine-processable should be limited, e.g., exclude raw data Ballot a Universal IG; derive it to specific types of GTR: Healthcare & Research Realm-specific guides Omic-specific guides Developed using the MDHT open source tool (OHT) 4

GTR - Design Principles Follow existing report formats commonly used in healthcare & research Emphasize interpretations & recommendations Provide general background information on tests performed Reference HL7 Clinical Genomics instances (e.g., GeneticVariation and Pedigree) as the place holders of full-blown raw genomic data and fully-structured family history data Utilize patterns of genotype-phenotype associations in the HL7 v3 Clinical Genomics Domain Implement them as clinical genomic statement entry-level templates (see next slide) 5

The Clinical Genomic Statement An abstract Clinical Genomic Statement (CGS) template that Has at its core a genomic observation (e.g., a DNA sequence variation) If it s a reportable finding, then it should be associated with indications and interpretations, specimen and genomic source class The major finding can be associated with associated observation (e.g., amino acid change) Optionally, performers may be specified (overriding header performers) The CGS abstract template is instantiated by specialized CGS s, e.g., for genetic variations or cytogenetics, as well as for their associated observation Associated Observations Clinical Genomic Statement Indications Genomic Observation Interpretations Performers Specimen Genomic Source 6

Narrative and Structured Data All CGS structured data items shall be part of clinical genomic statement (CGS) instances so that parsing applications can find the full semantics explicitly represented in one coherent structure Sub-sections such as Indications, Interpretations and Specimen are mainly for presenting narrative, but they may also contain structured data In this way, it is possible to have less redundant documents, e.g., in the case where all tests reported in a GTR document have the same indication, an Indications section in the Summary section consists of a full-blown indication observation which all CGS indication observations reference CGS structured data may point to the respective narrative in subsections (by means of XML ID) 7

GTR Rendered The Header Draft that has not been clinically validated 8

GTR Rendered Summary Section Draft that has not been clinically validated Summary Section continues in next slide 9

GTR Rendered Summary Section (cont.) Draft that has not been clinically validated 10

GTR Rendered Genetic Variation Sections Draft that has not been clinically validated 11

GTR UML Model - Section Outline 12

GTR UML Model - Summary Section 13

GTR Main Hierarchies Test Details Section specimen indications Interpretations test performed findings test information Abstract section template w/common sub-sections: Extended by specialized sections Genetic Variations Section Genetic variations CGS Cytogenetic Section Genetic variations CGS Gene Expression Section Gene Expression CGS Clinical Genomic Statement (CGS) Abstract CGS template: Extended by specialized CGS s Genetic Variations CGS Cytogenetic CGS Gene Expression CGS GV Associated Observations Cyt Associated Observations GE Associated Observations GV Interpretive Phenotypes Cyt Interpretive Phenotypes GE Interpretive Phenotypes 14

GTR Genetic Variation Section 15

Clinical Genomic Statement Extended by specialized Clinical Genomic Statements 16

Interpretive Phenotype Observation 17

GTR XML Snippets Indications Section Summary Section Indication s narrative Indication s structured data 18

GTR XML Snippets Specimen Section Specimen s narrative Specimen s structured data 19

GTR XML Snippets Overall Interpretation Section Interpretation s narrative Structured Interpretation 20

GTR XML Snippets Genetic Variation Section Genetic Variation Genetic Variation associated observations 21

GTR XML Snippets Genetic Variation Section (cont.) Genetic Variation indication Genetic Variation interpretation 22

uhealth: Patient Empowerment System Joint project between IBM and Gil Hospital (Korea) 5 years project, currently in 2 nd year 3 IBM centers are involved: IBM Korea IBM Research in China IBM Research in Haifa Building an open platform and services Web-based rich portal Testing the system with patients and physicians from the hospital Support integration with external PHR (e.g. Google Health) 23

uhealth: PHR / EHR Hybrid System Using CCD + GTR 24

The End Thank you for your attention Questions? 25