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Introduction, Future State, Process and Architecture of the PoC – Introduction, Future State, Process and Architecture of the PoC –

Introduction, Future State, Process and Architecture of the PoC – - PowerPoint Presentation

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Introduction, Future State, Process and Architecture of the PoC – - PPT Presentation

Bhavin and Mikkel PoC for Study Design and Configuration using CDISC 360 Conceptbased Standards Mikkel and Nicolas Automation of SDTM amp ADaM Generation and Artifacts using CDISC 360 Enriched Metadata ID: 932030

speaker bhavin cdisc mapping bhavin speaker mapping cdisc 360 level automation data jimmy adam sdtm engine specifications amp source

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Slide1

Introduction, Future State, Process and Architecture of the PoC –

Bhavin and Mikkel

PoC for Study Design and Configuration using CDISC 360 Concept-based Standards –

Mikkel and Nicolas

Automation of SDTM & ADaM Generation and Artifacts using CDISC 360 Enriched Metadata – Bhavin and JimmyAutomation of TFL Generation using CDISC 360 Enriched Metadata – Bhavin, Prasanna & StuartConcluding Remarks and Next Steps – Bhavin and MikkelQ & A session

10 mins

20 mins

20 mins

20 mins

5 mins

15 mins

Speaker: Bhavin

Slide2

Automation of SDTM & ADaM Generation and Artifacts using CDISC 360 Enriched MetadataBhavin Busa (Vita Data Sciences), Jianhui [Jimmy] Zhao (AbbVie)CDISC 2020 US InterchangeOctober 07, 2020

Slide3

AgendaProcess Flow for CDISC 360 Proof of ConceptMachine-readable Mapping SpecificationsSDTM/ADaM Automation Engine – PoC DesignSDTM/ADaM Automation Engine – Live DemoLearnings from CDISC 360 PoCSpeaker: Bhavin

Slide4

Speaker: Bhavin

Slide5

Study Specifications from WS410/6/20205

Formats:

XMLCSVSASSpeaker: Bhavin

Slide6

Machine-readable Mapping SpecificationsSpeaker: Bhavin

Slide7

Essential Elements for Machine-readable Mapping Specifications We break down the essential elements in 2 dimensions to meet the 4 key aspects of the machine readabilityDimension 1Source: location (library name), datasets, processing sequenceMapping: fields needed to describe how source transits to target

Target: location (library name), datasets, processing sequence, attributes (label, class, structure, purpose, etc.)Dimension 2Dataset Level: Transit datasets from source to targetVariable Level: Map variables from source to target

Value Level: Map variables from source to target under different conditions7Speaker: Jimmy

Slide8

Mapping Specifications: Dimension 18Source

Mapping

TargetSpeaker: Jimmy

Slide9

Mapping Specifications: Dimension 2

9

SourceMappingTargetDataset LevelVariable Level

Value Level

Speaker: Jimmy

Slide10

Mapping Specifications: Dataset Level10

data VS1; set CDASH.VS;

/******** variable level: Source Sequence = 1 ********/run;proc sort data=VS1; by SUBJID;proc sort data

=CDAHS.DM OUT=DM2; by USUBJID;

data VS2; merge DM2(in=a) VS1(in=b); by

USUBJID; if b; /********

variable level: Source Sequence = 2 ********/run;

Speaker: Jimmy

... Sequence 3, 4, 5, 6

proc

sort

data

=VS6;

by

USUBJID VSTESTCD VISITNUM VSDTC;

run

;

data

SDTM.VS;

set

VS6;

by

USUBJID VSTESTCD VISITNUM VSDTC;

/********

variable level: Source Sequence = 5

********/

run

;

Slide11

Mapping Specifications: Variable Level11

data VS1; set

CDASH.VS; **** Variable level processing ; DOMAIN = 'VS'; USUBJID = catx('.', STUDYID, SUBJID); VISITNUM = input(put(VISIT, $VISITNUM.), BEST.); [origin = Predecessor, do nothing]; if

not missing(VISDAT)

then VSDTC = put(VISDAT, E8601DA.); else if

not missing(VSDAT) then VSDTC = put

(VSDAT, E8601DA.); if

VISIT = "VISIT 2 (WEEK 0)" then VSBLFL = 'Y'

;run;

❶❶

Speaker: Jimmy

Slide12

Mapping Specifications: Value Level12

data VS3; set CDASH.VS;

if DIABP_VSPREF = 'Y' then do; VSTESTCD = 'DIABP'; VSORRES = DIABP_VSORRES; VSORRESU = DIABP_VSORRESU; VSSTRESN = 'mmHg'; VSSTRESN = INPUT(VSORRES, BEST.); VSSTRESC = PUT(VSSTRESN, 4.0);

VSPOS = DIABP_VSPOS; OUTPUT

; end; *** CONTINUTE ***;

if HEIGHT_VSPREF = 'Y' then

do; VSTESTCD = 'HEIGHT'; VSORRES = HEIGHT_VSORRES;

VSORRESU = HEIGHT_VSORRESU; VSSTRESN = 'm'; VSSTRESN = INPUT(VSORRES, BEST.

); VSSTRESC = PUT(VSSTRESN, 4.0); OUTPUT;

end;run;

Speaker: Jimmy

Slide13

SDTM/ADaM Automation Engine – Proof of Concept DesignSpeaker: Bhavin

Slide14

14CDISC 360 – SDTM/ADaM Automation Engine PoC Design

Study Level CDASH or SDTM

CDISC 360 Enriched Mapping SpecificationsR Shiny (front-end) & SASImport MetadataReview DataRun SDTM/ADaM Automation Engine

Edit Metadata

Generate SAS Program

Review & Execute SAS Program

Generate Define.xml

Generate Target Dataset

Speaker: Bhavin

Slide15

R-Shiny Front-end Interface: Automate Execution15

Speaker: Bhavin

Slide16

R-Shiny Front-end Interface: Automate Execution16

Speaker: Bhavin

Slide17

R-Shiny Front-end Interface: Automate Execution17

Speaker: Bhavin

Slide18

SDTM/ADaM Automation Engine – Live Demo!Speaker: Jimmy

Slide19

Learnings from CDISC 360 PoCMachine-readable MetadataSpeaker: Bhavin

Slide20

Machine-readable MetadataCDISC 360 Enriched Metadata = Structural + Conceptual + Semantic + Process [Key to Automation]Content is part of the standards (CDISC library)ETL Metadata (mapping inference & derivation)System agnostic standards, concepts and elements

Can be consumed by any toolOrganization can build an automation engine their own way

20Biomedical Concepts

Foundational Standards

Speaker: Bhavin

Slide21

Thank You!Bhavin Busa, Vita Data SciencesJianhui [Jimmy] Zhao, AbbVie

Courtesy: Mahi Busa