Epoch Ontological Framework to support Clinical Trial Management - - PowerPoint PPT Presentation

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Epoch Ontological Framework to support Clinical Trial Management - - PowerPoint PPT Presentation

Epoch Ontological Framework to support Clinical Trial Management Ravi Shankar Stanford Medical Informatics Stanford University Overview Clinical trials are used to determine whether new drugs or treatments are both safe and effective.


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SLIDE 1

Epoch Ontological Framework to support Clinical Trial Management

Ravi Shankar Stanford Medical Informatics Stanford University

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SLIDE 2

Overview

Clinical trials are used to determine whether new

drugs or treatments are both safe and effective.

Complex clinical trials involve collaboration among

many groups using different software applications.

Lack of standardization and reduced efficiency

leads to poor productivity.

We are building an ontological framework called

Epoch to improve semantic interoperability among clinical trial management applications.

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SLIDE 3

The Immune Tolerance Network

ITN is an international collaboration designed to

accelerate the development of immune tolerance therapies

Funds, plans, implements, monitors, and assesses

investigator-initiated clinical trials of novel tolerance-promoting therapies in

  • Autoimmune diseases
  • Transplantation
  • Allergy and Asthma

Provides services to undertake comprehensive

mechanistic studies that complement each trial

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SLIDE 4

Schedule of Events

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SLIDE 5

Schedule of Events

Visit Period Time Anchor Annotation Temporal Constraint Activity

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SLIDE 6

Specimen Table

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SLIDE 7

Specimen Table

Assay Processing Instruction Mechanistic Study Specimen Workflow Specimen Container

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SLIDE 8

Specimen Workflow

RT PCR Core Kidney Core

1 x cryovial (kidney) 1 x cryomold (kidney) 1 x cryovial (kidney) –E21 1 x 0.5ml cryovial (kidney RNA) 1 x 0.5 cryovial (kidney RNA) 1 x cryomold (kidney) Barcode Suffix – E22

Fisher Lab RNA Processing Core

Specimen Disposal Point

1 x cryovial (kidney) 1 x cryomold (kidney) 1 x cryovial (kidney) Barcode Suffix –E21 1 x 0.5ml cryovial (kidney RNA) 1 x 0.5 cryovial (kidney RNA) 1 x cryomold (kidney) Barcode Suffix – E22

Specimen Collection Point

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SLIDE 9

RT PCR Core Kidney Core

1 x cryovial (kidney) 1 x cryomold (kidney) 1 x cryovial (kidney) –E21 1 x 0.5ml cryovial (kidney RNA) 1 x 0.5 cryovial (kidney RNA) 1 x cryomold (kidney) Barcode Suffix – E22

Fisher Lab RNA Processing Core

Specimen Disposal Point

1 x cryovial (kidney) 1 x cryomold (kidney) 1 x cryovial (kidney) Barcode Suffix –E21 1 x 0.5ml cryovial (kidney RNA) 1 x 0.5 cryovial (kidney RNA) 1 x cryomold (kidney) Barcode Suffix – E22

Site Lab Core lab Bio- Repository Specimen Container

Specimen Workflow

Specimen Collection Point

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SLIDE 10

Challenges in Trials Management

Knowledge about protocols, assays,

and specimen flow is captured in documents and spreadsheets

Plan Implement Monitor Assess Core CRF Tracking

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SLIDE 11

What is in a visit name? Visit 0, v0, v 0, 0, Day 0, Transplant

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SLIDE 12

What is in a visit name? Visit 0, v0, v 0, 0, Day 0, Transplant

Protocol Group Assay Group

Schedule

  • f Events

Specim en Table

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SLIDE 13

What is in a visit name? Visit 0, v0, v 0, 0, Day 0, Transplant

Protocol Group Assay Group CRO Day 0 , Transplant

CRF Schedule

  • f Events

Specim en Table

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SLIDE 14

What is in a visit name? Visit 0, v0, v 0, 0, Day 0, Transplant

Protocol Group Assay Group Operations Group CRO

v 0

Day 0 , Transplant

Tube Table CRF Schedule

  • f Events

Specim en Table

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SLIDE 15

What is in a visit name? Visit 0, v0, v 0, 0, Day 0, Transplant

Protocol Group Assay Group Operations Group CRO Cim arron Fisher

Kit Report

Day 0 , Transplant

v 0 v 0 v0 , Visit 0

I m m unoTrak CRF Tube Table Schedule

  • f Events

Specim en Table

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SLIDE 16

What is in a visit name? Visit 0, v0, v 0, 0, Day 0, Transplant

Protocol Group Assay Group Operations Group Fisher Core Labs CRO Cim arron Day 0 , Transplant

v0 v0 , Visit 0 v 0 v 0

Kit Report I m m unoTrak Assays CRF Tube Table Schedule

  • f Events

Specim en Table

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SLIDE 17

What is in a visit name? Visit 0, v0, v 0, 0, Day 0, Transplant

CRO Protocol Group Assay Group Cim arron Operations Group Data Center Core Labs Fisher Day 0 , Transplant

v0 v 0 v 0 v0 , Visit 0

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V isitN um S pecim enType P articipantID B arcode D escr iption R ecor dD t OperatorID A ccessionID H LA E ver tLog H LA E ventLogID E ventD esc R ecordD t Oper ator ID GLB atchID S creeningFailur eR eason S creeningFailureR easonID C
  • de
D escription E nabled S tudyID Transplant Tr ansplantId R ecipient_S ubjectId D
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_S ubjectId Organ R ecor dD t Operator S tudyId

Database Kit Report I m m unoTrak Assays CRF Tube Table Schedule

  • f Events

Specim en Table

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SLIDE 18

IT N_Bio Med V5 Schem a

A ccession A ccessionID C

  • r

eID (FK ) Filenam e Transm issionD t TransactionC

  • deID

(FK ) R ecordD t U serID (FK ) A rchive A r chiveID C

  • reID

(FK ) Pr

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(FK ) N ame D irector y R ecor dD t U serID (FK ) B ar code B arcodeID StudyID (FK ) SubjectID (FK ) VisitID (FK ) B arcode C

  • llectionD

t R ecor dD t U serID (FK ) C

  • nfigP

ar am eter C

  • nfigParam

eter ID P rocessID (FK ) N am e V alue R ecordD t U ser ID (FK ) C

  • ntactType

C

  • ntactTypeID

N ame R ecor dD t U serID (FK ) C

  • re

C

  • r

eID LocationID (FK ) C

  • de

D escription R ecordD t U serID (FK ) C

  • re_A

ssays C

  • reID

(FK ) A ssayID (FK ) S pecim enTypeID (FK ) R ecordD t U ser ID (FK ) C

  • r

e_C

  • ntacts

C

  • reID

(FK ) C

  • ntactTypeID

(FK ) U serID (FK ) R ecor dD t C

  • re_Issues

IssueID C

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S tudy C

  • resam

pleID R equestedB y D escription R equestD t R esponse S tatus C

  • reSam

pleID (FK ) C

  • reSam

ple C

  • r

eS ampleID S tudyID (FK ) A ccessionID (FK ) P rocessingC

  • deID

(FK ) S ampleTypeID (FK ) R ecdD t A nalysisD t Technam e Filenam e E xter nalID B ar codeID 9 S pecimenTypeID (FK ) R ecordD t U serID (FK ) C

  • reSam

ple_D etail C

  • r

eS am pleID (FK ) B ar codeID (FK ) QC Sam pleID (FK ) V alidationC

  • deID

(FK ) V alidationD t R ecordD t U serID (FK ) C

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ample_D evC

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C

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eS ampleID (FK ) D evC

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(FK ) N

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R ecordD t U serID (FK ) D evC

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D escription GetC

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ments R ecordD t U ser ID (FK ) fcA ntib A ntibID N ame IsD um p R ecordD t U serID (FK ) fcA ntib_LotN um A ntibID (FK ) LotN um C atalogN um Manufacturer S tartD t E ndD t R ecordD t U ser ID (FK ) fcFluor

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Fluorochr

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eID N ame R ecor dD t U serID (FK ) fcGate GateID N am e R ecordD t U ser ID (FK ) fcMatrix Matr ixID N

  • OfC
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  • mponents

MatrixID (FK ) Ordinal State R ecor dD t U serID (FK ) fcMGFile C

  • reS

am pleID (FK ) PanelID (FK ) Filename A r chiveID (FK ) C

  • ntent

R ecor dD t U serID (FK ) fcP anel PanelID TestID (FK ) H asMGFile R ecor dD t U serID (FK ) fcP anel_C

  • m

ponents PanelID (FK ) TubeID (FK ) Tr tID (FK ) GateID (FK ) Star tD t N am e (FK ) Ordinal EndD t C

  • m

ments R ecor dD t U serID (FK ) fcR egion R egionID N am e R ecordD t U serID (FK ) fcR egion_Matr ix_S tandard N

  • OfC
  • lors

R egionID (FK ) MatrixID (FK ) R ecor dD t U serID (FK ) fcR esult C

  • reSampleID

(FK) P anelID (FK ) TubeID (FK ) TrtID (FK) GateID (FK ) R egi

  • nID

(FK) MeasureID (FK ) N am e (FK ) V alue R ecordD t U ser ID (FK ) fcS File C

  • reS

ampleID (FK ) PanelID (FK ) TubeID (FK ) Tr tID (FK ) GateID (FK ) N am e (FK ) Filenam e A r chiveID (FK ) C

  • ntent

R ecor dD t U serID (FK ) fcTr t N am e TrtID R ecordD t U ser ID (FK ) fcTube TubeID TubeTypeID (FK ) N am e N

  • OfC
  • lors

R ecor dD t U serID (FK ) fcTube_C

  • m

ponents A ntibID (FK ) TubeID (FK ) FluorochromeID (FK ) Or dinal R ecordD t U ser ID (FK ) fcTube_R egion_Matrix TubeID (FK ) R egionID (FK ) Matr ixID (FK ) R ecordD t U ser ID (FK ) fcTubeType TubeTypeID N am e R ecordD t U ser ID (FK ) Field FieldID N ame D escription R ecordD t U serID (FK ) FileR equest R equestID R equestD t C

  • m

pletedD t E m ailA ddress S tatus FileN am e FileType Message A rchiveID (FK ) U serN ame FileR equestList FileR equestListID Status FileN am e D irectory R equestID (FK ) Message LabType LabTypeID N ame D escription R ecordD t U ser ID (FK ) Loc Location LocationID N am e Or ganization A ddr ess1 A ddr ess2 C ity S tate Zip R egion C

  • untr

y R ecordD t U ser ID (FK ) Measur e MeasureID N ame A bbr eviation R ecordD t U ser ID (FK ) pcrB aseV isit B aseV isitID S tudyID (FK ) V isitID (FK ) R ecordD t U ser ID (FK ) pcrB atch B atchId B atchN umber S tudyID (FK ) S hipD ate R ecor dD t U serID (FK ) pcrC

  • m

parison C

  • m

parisonID OligoID (FK ) B aseMethod Threshold R ecordD t U ser ID (FK ) pcr Oligo OligoID N am e SeqA cs D escription C lassification R ecordD t U ser ID (FK ) pcrQC D ata QC D ataID R eportN am e B atchID Filename A rchiveID (FK ) R ecordD T U ser ID (FK ) pcrR eplicate R eplicateID S etID (FK ) OligoID (FK ) C

  • mpar

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  • reS

ampleid (FK ) TestID (FK ) R eplicateID B aseV isitID (FK ) Qualifier A tLeast Sam pleQuality C alibr atorQuality R ecor dD t U serID (FK ) pcrS D S File C

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  • r

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ceID C

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C

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t A ctivationD t R ecordD t U serID (FK ) S tudy StudyID StudyN um ShortTitle LongTitle Star tD t Phase TherapeuticA reaID (FK ) N

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articipants StudyTypeID (FK ) IsA pproved IsOpen D urationMo FollowU pMo A ccrualMo N

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nr

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xtension Tr eatm entP lan State StudyStatusID R ecor dD t U serID (FK ) Study_A S tud A ssa S pec R eco U ser S tudy_ S tu C

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Loc U se R ec S tu S tudyType StudyTypeID N am e R ecor dD t U serID (FK ) Subject SubjectID SiteID (FK ) ParticipantID StudyGroupID (FK ) R ecor dD t U serID (FK ) TestR esult C

  • reS

ampleID (FK ) TestID (FK ) MeasureID (FK ) Value R ecor dD t U serID (FK ) Ther apeuticA r ea TherapeuticA reaID N am e R ecordD t U serID (FK ) TransactionC

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Tr ansactionC

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C

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ValidationC

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C

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D escr iption R ecor dD t U serID (FK ) V isit V isitID S tudyID (FK ) S cheduleTypeId (FK ) Ordinal V isitN um D escription R ecordD t U serID (FK ) Test TestID S tudyID (FK ) A ssayID (FK ) LabTypeID (FK ) N ame R ecordD t U ser ID (FK ) rptD ataE xtractR equest R equestN umber D tOfR equest D tR equir edB y R equestor N am e R equestor Phone StudyN um C

  • re

StudyD ata QC S am ples R esearchD evelopm ent StartD t EndD t VisitsD etail D ataForm at IncludeD eviationC

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t IncludeU nvalidatedS am ples SpecialInstr uctions A ssignedTo A ssignedD t PlanStatus D tP lanA vailable D tP lanFinal R equestC losedB y C losedD t SiteD etails Infor maticsN

  • te

R ecU pdatedB y R ecU pdatedOn D ataExtr actType StudyS tatus S tudyS tatusID D escription R ecordD t U ser ID (FK ) fcPanel_Measures P anelID (FK ) TubeID (FK ) TrtID (FK ) GateID (FK ) MeasureID (FK ) N ame (FK ) S tartD t E ndD t R ecordD t U ser ID (FK ) E nrollment E nr

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entID S iteID (FK ) S cr eeningID P ar ticipantID S cr eeningD t E nr

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entD t S tudyGroupID (FK ) D

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  • m

ment U serID (FK ) ETLMappingD etail MapD tlID S

  • ur

ceC

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n TargetTable TargetC

  • lumnType

MapH drID E TLMappingH eader MapH drID MappingN ame S

  • urce

V er sion GenericLoad GenLoadID FileN am e FileD ir R

  • wN

umber C

  • lumnN

ame C ellValue Source Version dtEntered LoadID GenericLoadB atch GLB atchID FileD ir R ecordD t FileN ame H LA B usinessR uleD etail B R D etailID TargetTable TargetC

  • lumn

B R Value TargetC

  • lumnType

B R H drID H LA B usinessR uleH eader B R H drID V ersion B R N am e H LA D ataIm portLog Impor tLogID FileN ame StudyN um C

  • de

VisitN um Specim enType ParticipantID B arcode D escr iption R ecor dD t OperatorID A ccessionID H LA E ver tLog H LA E ventLogID E ventD esc R ecordD t Oper ator ID GLB atchID H LA R esult H LA R esultID A _1 A _2 B _1 B _2 C w_1 C w_2 D R B 1_1 D R B 1_2 D R B 3_1 D R B 3_2 D R B 4_1 D R B 4_2 D R B 5_1 D R B 5_2 D QA 1_1 D QA 1_2 D QB 1_1 D QB 1_2 H LA C

  • m

m ents H LA C

  • m

m ents_A nalysis R ecordD t OperatorID C

  • reSampleID

ScreeningFailur eR eason S creeningFailureR easonID C

  • de

D escription E nabled S tudyID Transplant Tr ansplantId R ecipient_S ubjectId D

  • nor

_S ubjectId Organ R ecor dD t Operator StudyId

Transplant

Visit 0 v 0 v0 Day 0

What is in a visit name?

slide-19
SLIDE 19

IT N_Bio Med V5 Schem a

A ccession A ccessionID C

  • r

eID (FK ) Filenam e Transm issionD t TransactionC

  • deID

(FK ) R ecordD t U serID (FK ) A rchive A r chiveID C

  • reID

(FK ) Pr

  • cessID

(FK ) N ame D irector y R ecor dD t U serID (FK ) B ar code B arcodeID StudyID (FK ) SubjectID (FK ) VisitID (FK ) B arcode C

  • llectionD

t R ecor dD t U serID (FK ) C

  • nfigP

ar am eter C

  • nfigParam

eter ID P rocessID (FK ) N am e V alue R ecordD t U ser ID (FK ) C

  • ntactType

C

  • ntactTypeID

N ame R ecor dD t U serID (FK ) C

  • re

C

  • r

eID LocationID (FK ) C

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D escription R ecordD t U serID (FK ) C

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ssays C

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(FK ) A ssayID (FK ) S pecim enTypeID (FK ) R ecordD t U ser ID (FK ) C

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e_C

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C

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(FK ) C

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S tudy C

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C

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R ecor dD t U serID (FK ) fcP anel PanelID TestID (FK ) H asMGFile R ecor dD t U serID (FK ) fcP anel_C

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ments R ecor dD t U serID (FK ) fcR egion R egionID N am e R ecordD t U serID (FK ) fcR egion_Matr ix_S tandard N

  • OfC
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R egionID (FK ) MatrixID (FK ) R ecor dD t U serID (FK ) fcR esult C

  • reSampleID

(FK) P anelID (FK ) TubeID (FK ) TrtID (FK) GateID (FK ) R egi

  • nID

(FK) MeasureID (FK ) N am e (FK ) V alue R ecordD t U ser ID (FK ) fcS File C

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R ecor dD t U serID (FK ) fcTr t N am e TrtID R ecordD t U ser ID (FK ) fcTube TubeID TubeTypeID (FK ) N am e N

  • OfC
  • lors

R ecor dD t U serID (FK ) fcTube_C

  • m

ponents A ntibID (FK ) TubeID (FK ) FluorochromeID (FK ) Or dinal R ecordD t U ser ID (FK ) fcTube_R egion_Matrix TubeID (FK ) R egionID (FK ) Matr ixID (FK ) R ecordD t U ser ID (FK ) fcTubeType TubeTypeID N am e R ecordD t U ser ID (FK ) Field FieldID N ame D escription R ecordD t U serID (FK ) FileR equest R equestID R equestD t C

  • m

pletedD t E m ailA ddress S tatus FileN am e FileType Message A rchiveID (FK ) U serN ame FileR equestList FileR equestListID Status FileN am e D irectory R equestID (FK ) Message LabType LabTypeID N ame D escription R ecordD t U ser ID (FK ) Loc Location LocationID N am e Or ganization A ddr ess1 A ddr ess2 C ity S tate Zip R egion C

  • untr

y R ecordD t U ser ID (FK ) Measur e MeasureID N ame A bbr eviation R ecordD t U ser ID (FK ) pcrB aseV isit B aseV isitID S tudyID (FK ) V isitID (FK ) R ecordD t U ser ID (FK ) pcrB atch B atchId B atchN umber S tudyID (FK ) S hipD ate R ecor dD t U serID (FK ) pcrC

  • m

parison C

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  • mpar

isonID (FK ) W ellID (FK ) C alibrator Sample C alibrator Plate R ecordD t Oper atorID pcrR esult C

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  • reS

ampleID (FK ) TestID (FK ) MeasureID (FK ) Value R ecor dD t U serID (FK ) Ther apeuticA r ea TherapeuticA reaID N am e R ecordD t U serID (FK ) TransactionC

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  • llm

entID S iteID (FK ) S cr eeningID P ar ticipantID S cr eeningD t E nr

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  • urce

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umber C

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ame C ellValue Source Version dtEntered LoadID GenericLoadB atch GLB atchID FileD ir R ecordD t FileN ame H LA B usinessR uleD etail B R D etailID TargetTable TargetC

  • lumn

B R Value TargetC

  • lumnType

B R H drID H LA B usinessR uleH eader B R H drID V ersion B R N am e H LA D ataIm portLog Impor tLogID FileN ame StudyN um C

  • de

VisitN um Specim enType ParticipantID B arcode D escr iption R ecor dD t OperatorID A ccessionID H LA E ver tLog H LA E ventLogID E ventD esc R ecordD t Oper ator ID GLB atchID H LA R esult H LA R esultID A _1 A _2 B _1 B _2 C w_1 C w_2 D R B 1_1 D R B 1_2 D R B 3_1 D R B 3_2 D R B 4_1 D R B 4_2 D R B 5_1 D R B 5_2 D QA 1_1 D QA 1_2 D QB 1_1 D QB 1_2 H LA C

  • m

m ents H LA C

  • m

m ents_A nalysis R ecordD t OperatorID C

  • reSampleID

ScreeningFailur eR eason S creeningFailureR easonID C

  • de

D escription E nabled S tudyID Transplant Tr ansplantId R ecipient_S ubjectId D

  • nor

_S ubjectId Organ R ecor dD t Operator StudyId

Transplant

Visit 0 v 0 v0 Day 0

What is in a visit name?

How m any participants have had transplants so far and w hat are the results of the assays perform ed at the tim e of transplant?

slide-20
SLIDE 20

Challenges in Trials Management

Enterprise-wide knowledge about

trials management is not formally encoded, leading to challenges in

  • Standardization
  • Data integrity
  • Data analysis
  • Data integration

Significant efforts may be needed to

resolve inconsistencies after a trial has started

slide-21
SLIDE 21

ITN Informatics Core at Stanford Epoch

An Ontological Fram ew ork for Clinical Trials Managem ent

slide-22
SLIDE 22

ITN Informatics Core at Stanford

The goals of our collaboration are to

  • Design tools to help acquire and maintain

knowledge about protocol and assay designs

  • Use this knowledge to drive data collection

during a trial

  • Implement querying methods to support

trial management, and ad hoc data analysis

slide-23
SLIDE 23

Building Ontologies for ITN — Epoch

RT PCR Core Kidney Core

1 x cryovial (kidney) 1 x cryomold (kidney) 1 x cryovial (kidney) –E21 1 x 0.5ml cryovial (kidney RNA) 1 x 0.5 cryovial (kidney RNA) 1 x cryomold (kidney) Barcode Suffix – E22

Fisher Lab RNA Processing Core

Specimen Disposal Point

1 x cryovial (kidney) 1 x cryomold (kidney) 1 x cryovial (kidney) Barcode Suffix –E21 1 x 0.5ml cryovial (kidney RNA) 1 x 0.5 cryovial (kidney RNA) 1 x cryomold (kidney) Barcode Suffix – E22

Specimen Collection Point

slide-24
SLIDE 24

Building Ontologies for ITN — Epoch

Epoch

CDISC BRIDG EON SAGE ITN specifications

slide-25
SLIDE 25

Epoch Ontologies

Protocol Model

slide-26
SLIDE 26

Epoch Ontologies

Protocol Model Protocol Schema Mechanistic Study Plan

slide-27
SLIDE 27

Epoch Ontologies

Protocol Model Protocol Schema Mechanistic Study Plan Activity Visit

slide-28
SLIDE 28

Epoch Ontologies

Protocol Model Protocol Schema Mechanistic Study Plan Clinical Model Activity Visit

slide-29
SLIDE 29

Epoch Ontologies

Protocol Model Protocol Schema Clinical Model Activity Visit Mechanistic Study Plan Specimen Workflow Specimen Container Set Assay

slide-30
SLIDE 30

Epoch Ontologies

Protocol Model Protocol Schema Clinical Model Activity Visit Mechanistic Study Plan Assay Model Specimen Workflow Specimen Container Set Assay

slide-31
SLIDE 31

Epoch Ontologies

Protocol Model Protocol Schema Clinical Model Activity Visit Mechanistic Study Plan Assay Model Specim en Container Model Specimen Workflow Site Model Specimen Container Set Assay

slide-32
SLIDE 32

Epoch Ontologies

Protocol Model Protocol Schema Mechanistic Study Plan Assay Model Specim en Container Model Specimen Workflow Site Model Specimen Container Set Clinical Model Activity Assay Virtual Trial Data Model Visit

slide-33
SLIDE 33

Knowledge-Acquisition Environment

OW L (the Web Ontology Language proposed by W3C) SW RL (the Semantic Web Rule Language) to specify constraints and queries Protégé-OW L editor to enter ontologies in OWL and SWRL

slide-34
SLIDE 34

Epoch Protocol Model

slide-35
SLIDE 35

Epoch Protocol Model

slide-36
SLIDE 36

Schedule of Events

Visit Period Time Anchor Annotation Temporal Constraint Activity

slide-37
SLIDE 37

Protocol Model – Study Schema

slide-38
SLIDE 38

Study Schema

slide-39
SLIDE 39

Study Schema – a Temporal Sequence

  • f Periods
slide-40
SLIDE 40

Visit Flow – a Temporal Sequence of Visits

slide-41
SLIDE 41

Visit

slide-42
SLIDE 42

Visit – different Visit names

slide-43
SLIDE 43

Specimen Table

Assay Processing Instruction Mechanistic Study Specimen Workflow Specimen Container

slide-44
SLIDE 44

Protocol Model - Mechanistic Study Plan

slide-45
SLIDE 45

Mechanistic Study Plan

slide-46
SLIDE 46

Mechanistic Study Plan

slide-47
SLIDE 47

Mechanistic Study Plan

slide-48
SLIDE 48

A Mechanistic Study

slide-49
SLIDE 49

A Mechanistic Study

slide-50
SLIDE 50

Specimen Workflow

slide-51
SLIDE 51

Specimen Workflow

slide-52
SLIDE 52

Mechanistic Study Plan

slide-53
SLIDE 53

Specimen Container Set

slide-54
SLIDE 54

Specimen Container Set

slide-55
SLIDE 55

Specimen Container Set

slide-56
SLIDE 56

Specimen Container Set

slide-57
SLIDE 57

Specimen Container Ontology – using OWL Full meta model

slide-58
SLIDE 58

Specimen Container Ontology – using OWL Full meta model

slide-59
SLIDE 59

Specimen Container Ontology – using OWL Full meta model

slide-60
SLIDE 60

Specimen Container Ontology

slide-61
SLIDE 61

A Hierarchy of Specimen Containers

slide-62
SLIDE 62

A Specimen Container

slide-63
SLIDE 63

Assay Ontology – using OWL Full meta model

slide-64
SLIDE 64

Assay Ontology – using OWL Full meta model

slide-65
SLIDE 65

Assay Ontology

slide-66
SLIDE 66

Assay Ontology

slide-67
SLIDE 67

An Assay

slide-68
SLIDE 68

Virtual Trial Data Model - Observation

slide-69
SLIDE 69

Virtual Trial Data Model - VisitRecord

slide-70
SLIDE 70

Anchor Point - Transplant

slide-71
SLIDE 71

SWRL Rule to set Transplant Time

slide-72
SLIDE 72

Visit Time Window

slide-73
SLIDE 73

Visit Time constraint as a SWRL rule

Check if the participant's visits occurred w ithin the visit tim e w indow specifications

slide-74
SLIDE 74

Constraints expressed as SWRL rules

On days that both immunotherapy and omalizumab are administered, omalizumab will be injected 60 minutes after the immunotherapy.

slide-75
SLIDE 75

ITN Informatics Core at Stanford

The goals of our collaboration are to

  • Design tools to help acquire and maintain

knowledge about protocol and assay designs

  • Use this knowledge to drive data collection

during a trial

  • Implement querying methods to support

trial monitoring, protocol tracking, and ad hoc data analysis

slide-76
SLIDE 76

Epoch Architectural Plan

Epoch Knowledge Base OWL | SWRL

slide-77
SLIDE 77

Epoch Architectural Plan

Epoch Knowledge Base Knowledge Base Server OWL | SWRL API

slide-78
SLIDE 78

Epoch Architectural Plan

Epoch Knowledge Base Knowledge Base Server Clinical Trial Database Model-Database Mapper OWL | SWRL API

slide-79
SLIDE 79

Epoch Architectural Plan

Epoch Knowledge Base Knowledge Base Server Clinical Trial Database Model-Database Mapper Query / Rule Engine SWRL | JESS OWL | SWRL API

slide-80
SLIDE 80

Epoch Architectural Plan

Epoch Knowledge Base Knowledge Base Server Clinical Trial Database Model-Database Mapper Query / Rule Engine SWRL | JESS OWL | SWRL API Utility Functions

slide-81
SLIDE 81

Epoch Architectural Plan

Epoch Knowledge Base Knowledge Base Server Clinical Trial Database Model-Database Mapper

Clinical Trials Managem ent Applications

Query / Rule Engine SWRL | JESS OWL | SWRL API Utility Functions

slide-82
SLIDE 82

Configuration of ImmunoTrak – the Specimen Workflow Application

slide-83
SLIDE 83

ImmunoTrak Configuration File

slide-84
SLIDE 84

Configuration of ImmunoTrak – the Specimen Workflow Application

Epoch Knowledge Base ImmunoTrak Configuration ImmunoTrak ― Specimen Workflow

1 2

slide-85
SLIDE 85

Ontology Mapping to generate XML Document

Epoch Ontology I m m unoTrak Configuration XML

Protocol( ?p) ^ hasSitePlan( ?p, ?sp) ^ hasStudySites( ?sp, ?site) ^ hasSiteI D( ?site, ?siteI D) ^ hasParticipant( ?site, ?participants) ^ hasParticipantI Ds( ?participant, ?participantI D) ^ hasStudyI nform ation( ?sp, ?studyI nfo) ^ hasStudyI D( ?studyI nfo, ?hasStudyI D)

  • > XMLDocum ent( ?p) ^ hasNodeNam e( ?p, "Study") ^

XMLCom ponent( ?participant) ^ hasNodeNam e( ?participant, "Participant") ^ hasCom ponents( ?p, ?participant) ^ hasAttribute( ?participant, ?participantI D) ^ hasAttributeNam e( ?participantI D, "id">

XML Docum ent Ontology

SW RL

slide-86
SLIDE 86

Protégé OWL

Clinical Ontology Generic Protocol Model Assay Ontology Site Ontology Electronic CRF Participant Visits Specimen Identification Specimen Workflow

Protocol Protocol Protocol+ Specimen Table Applications for Knowledge Specification Applications for Data Collection Applications for Clinical Trials Management CRF Tracking Core Data Repository Protocol Protocol Specific Assays Protocol Protocol Specific Sites Epoch Ontologies

Container Ontology

Protocol Protocol Specific Kits

slide-87
SLIDE 87

What our approach buys us

A centralized, modifiable repository of

the knowledge to drive site-oriented applications

The ability to use reference ontologies

to structure ITN knowledge

A scaleable architecture that can lead

to computer-supported trial design

The ability to use logic for inferring

relationships among the data