optimizing data extracts from oracle clinical sas views

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© 2009 Confidential and proprietary property of RadPharm, all rights reserved. OCUG Annual Conference – October 2009 Optimizing Data Extracts from OC SAS Views Prashant Rajopadhye, PMP RadPharm, Inc. Oncology Trials To Date

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This presentation delivered at OCUG Annual Conference 2009 at New Orleans is on a new way developed to optimize SAS dataset extracts in Batch Data Load (BDL) format from Oracle Clinical SAS views.

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Page 1: Optimizing Data Extracts from Oracle Clinical SAS Views

© 2009 Confidential and proprietary property of RadPharm, all rights reserved.

OCUG Annual Conference – October 2009

Optimizing Data Extracts from OC SAS

Views

Prashant Rajopadhye, PMPRadPharm, Inc.

OncologyTrials

To Date

Page 2: Optimizing Data Extracts from Oracle Clinical SAS Views

Outline

• About RadPharm, Inc.• Problem Overview

– BDL File Formats– Old Extraction Method

• Solution– Implementation Details– Process Flow

• Key Success Factor• Contact

Page 3: Optimizing Data Extracts from Oracle Clinical SAS Views

© 2009 Confidential and proprietary property of RadPharm, all rights reserved.

• Leading full service imaging core lab• Managing all facets of the imaging segment of

global clinical trials, Phases I-IV.– Computed Tomography (CT)– Magnetic Resonance Imaging (MRI)– Positron Emission Tomography (PET) and PET/CT– Single Photon Emission Computed Tomography (SPECT)– Ultrasound– X-ray

About RadPharm, Inc.

Page 4: Optimizing Data Extracts from Oracle Clinical SAS Views

© 2009 Confidential and proprietary property of RadPharm, all rights reserved.

• 15 years experience in– oncology– cardiovascular– musculoskeletal– diagnostic contrast imaging agents– Medical device studies

About RadPharm, Inc. (cont.)

Page 5: Optimizing Data Extracts from Oracle Clinical SAS Views

© 2009 Confidential and proprietary property of RadPharm, all rights reserved.

• 300 Clinical Trials• Across 60 countries

About RadPharm, Inc. (cont.)

Page 6: Optimizing Data Extracts from Oracle Clinical SAS Views

© 2009 Confidential and proprietary property of RadPharm, all rights reserved.

Problem

• Phase 3 Study data extraction– 15 Files

• 5 BDL Files of ‘A’ type• 5 BDL Files of ‘B’ type• 5 ASCII Preview Files for the Clinical Data Coordinator

– Total Extraction Time about 12 hours– One dataset alone took over 9 hours– Would cause database performance issues– Needed to stop PSUB during extraction

Page 7: Optimizing Data Extracts from Oracle Clinical SAS Views

© 2009 Confidential and proprietary property of RadPharm, all rights reserved.

BDL A File Format

P A T I E N T _ I D | V I S I T | S U B E V E N T | V I S I T _ D A T E | D C I | D C M | D C M _ S U B S E T | Q U E S T I O N _ G R O U P |

Q U E S T I O N | Q U E S T I O N _ O C C U R R E N C E _ S E Q U E N C E _ N U M B E R | R E P E A T _ S E Q U E N C E _ N U M B E R | V A L U E | C O M M E N T

Page 8: Optimizing Data Extracts from Oracle Clinical SAS Views

BDL B File Format

I N V E S T I G A T O R | S I T E | P A T I E N T _ I D | V I S I T | S U B E V E N T

| V I S I T _ D A T E | D C I | D C M | D C M _ S U B S E T | Q U E S T I O N _ G R O U P | Q U E S T I O N | Q U E S T I O N _ O C C U R R E N C E _ S E Q U E N C E _ N U M B E R | R E P E A T _ S E Q U E N C E _ N U M B E R | V A L U E |

C O M M E N T

Page 9: Optimizing Data Extracts from Oracle Clinical SAS Views

Preview File Format

P A T I E N T _ I D | V I S I T | S U B E V E N T | V I S I T _ D A TE | D C I | D C M | D C M _ S U B S E T | Q U E S T I O N _ G R O U P | Q U E S T I O N _ O C C U R R E N C E _ S E Q U E N C E _ N U M B E R | R E P E A T _ S E Q U E N C E _ N U M B E R |

R E A D E R _ I D | R E A D _ T Y P E _ S P | S I T E | R E S P O N S E _ N Y | E XA M _ S P | A S S E S S M E N T _ D T | N E W _ N Y | S A M P L E _ N Y | G R A D E _ C D | P E R F O R M E D _ N Y | CR I T E R I A _ M E T _ N Y | C O M M E N T S _ 1 | C O M M E N T S _ 2 |C O M M E N T S _ 3 | C O M M E N T S _ 4 | C O M M E N T S _ 5 | L E S I O N _ I D |

S T U DY | I N V S I T E | P T | V I S I T | S U B E V E | C P E V E N T | Q U A L I F Y V

Page 10: Optimizing Data Extracts from Oracle Clinical SAS Views

© 2009 Confidential and proprietary property of RadPharm, all rights reserved.

Old way to extract FRACSP dataset

• Run the BDL A file, BDL B file and Preview file SQL extraction scripts directly against the OC SAS views one at a time

• Resulting datasets spooled to files

Page 11: Optimizing Data Extracts from Oracle Clinical SAS Views

© 2009 Confidential and proprietary property of RadPharm, all rights reserved.

Solution

• SELECT data from OC SAS views• INSERT into a set a three indexed tables

– SRE_EXTRACT_TPHD– SRE_EXTRACT_COMMENTS– SRE_EXTRACT_DATA_WORK

• UPDATE table SRE_EXTRACT_DATA_WORK with time point header and reader comments data

• WRITE files to OS using following mapping tables and final data – SRE_BDL_QUESTION_MAP– SRE_A_B_FILE_MAP– SRE_EXTRACT_DATA_WORK

Page 12: Optimizing Data Extracts from Oracle Clinical SAS Views

New way: Package PKG_SRE_FRACSP

CREATE OR REPLACE PACKAGE PKG_SRE_FRACSP as

PROCEDURE fracsp_fill (p_study_name varchar2 ,p_view_type varchar2 DEFAULT 'STABLE',p_schema varchar2 DEFAULT 'RADPHARM',p_a_b_file_map_table varchar2 DEFAULT ‘SRE_A_B_FILE_MAP');

PROCEDURE fracsp_write_file(p_study_name varchar2 ,p_view_type varchar2 DEFAULT 'STABLE',p_file_type varchar2 DEFAULT 'all',p_schema varchar2 DEFAULT 'RADPHARM',p_map_table varchar2 DEFAULT 'SRE_BDL_QUESTION_MAP');

END PKG_SRE_FRACSP;

Page 13: Optimizing Data Extracts from Oracle Clinical SAS Views

TABLESRE_EXTRACT_TPHD

VARCHAR2 (200 Byte)YDTP_READ_TYPE_SP13

VARCHAR2 (200 Byte)YDTP_READER_ID12

VARCHAR2 (200 Byte)YDTP_VISIT_DATE11

VARCHAR2 (200 Byte)YDTP_SUBEVENT10

VARCHAR2 (100 Byte)YDTP_VISIT9

VARCHAR2 (200 Byte)YDTP_PATIENT_ID8

VARCHAR2 (70 Byte)NQUALIFYV7

NUMBER (2)NSUBEVE6

NUMBER (5)NVISIT5

VARCHAR2 (20 Byte)NCPEVENT4

VARCHAR2 (10 Byte)NINVSITE3

VARCHAR2 (10 Byte)NPT2

VARCHAR2 (10 Byte)NSTUDY1

D a t a T y p eN u ll?C o l u m n N a m eI D

Page 14: Optimizing Data Extracts from Oracle Clinical SAS Views

TABLESRE_EXTRACT_COMMENTS

VARCHAR2 (200 Byte)YDTP_COMMENT511

VARCHAR2 (200 Byte)YDTP_COMMENT410

VARCHAR2 (200 Byte)YDTP_COMMENT39

VARCHAR2 (200 Byte)YDTP_COMMENT28

VARCHAR2 (200 Byte)YDTP_COMMENT17

VARCHAR2 (70 Byte)NQUALIFYV6

NUMBER (2)NSUBEVE5

NUMBER (5)NVISIT4

VARCHAR2 (10 Byte)NPT3

VARCHAR2 (10 Byte)NINVSITE2

VARCHAR2 (10 Byte)NSTUDY1

D a t a T y p eN u ll?C o l u m n N a m eI D

Page 15: Optimizing Data Extracts from Oracle Clinical SAS Views

TABLESRE_EXTRACT_DATA_WORK

VARCHAR2 (50 Byte)YDTP_READER_ID13

NUMBERYDTP_REPEAT_SEQUENCE_NUMBER12

NUMBERYDTP_QUESTION_OCCURRENCE_SEQ11

VARCHAR2 (50 Byte)YDTP_QUESTION_GROUP10

VARCHAR2 (50 Byte)YDTP_DCM_SUBSET9

VARCHAR2 (50 Byte)YDTP_DCM8

VARCHAR2 (50 Byte)YDTP_DCI7

VARCHAR2 (50 Byte)YDTP_VISIT_DATE6

NUMBERYDTP_SUBEVENT5

VARCHAR2 (50 Byte)YDTP_VISIT4

VARCHAR2 (50 Byte)YDTP_PATIENT_ID3

VARCHAR2 (50 Byte)YDTP_RAD_SITE2

VARCHAR2 (50 Byte)YDTP_INVESTIGATOR1

D a t a T y p eN u ll?C o l u m n N a m eI D

Page 16: Optimizing Data Extracts from Oracle Clinical SAS Views

TABLESRE_EXTRACT_DATA_WORK (Cont.)

VARCHAR2 (250 Byte)YDTP_COMMENT527

VARCHAR2 (250 Byte)YDTP_COMMENT426

VARCHAR2 (250 Byte)YDTP_COMMENT325

VARCHAR2 (250 Byte)YDTP_COMMENT224

VARCHAR2 (250 Byte)YDTP_COMMENT123

VARCHAR2 (50 Byte)YDTP_PERFORMED_NY22

VARCHAR2 (50 Byte)YDTP_GRADE_CD21

VARCHAR2 (50 Byte)YDTP_SAMPLE_NY20

VARCHAR2 (50 Byte)YDTP_NEW_NY19

VARCHAR2 (50 Byte)YDTP_ASSESSMENT_DT18

VARCHAR2 (50 Byte)YDTP_EXAM_SP17

VARCHAR2 (50 Byte)YDTP_RESPONSE_NY16

VARCHAR2 (50 Byte)YDTP_SITE15

VARCHAR2 (50 Byte)YDTP_READ_TYPE_SP14

Page 17: Optimizing Data Extracts from Oracle Clinical SAS Views

TABLESRE_EXTRACT_DATA_WORK (Cont.)

VARCHAR2 (50 Byte)YLESION_ID37

NUMBERYREPEATSN36

VARCHAR2 (70 Byte)NQUALIFYV35

NUMBER (2)NSUBEVE34

NUMBER (5)NVISIT33

VARCHAR2 (50 Byte)NCPEVENT32

VARCHAR2 (10 Byte)NINVSITE31

VARCHAR2 (10 Byte)NPT30

VARCHAR2 (10 Byte)NSTUDY29

DATEYCREATED_DATE28

Page 18: Optimizing Data Extracts from Oracle Clinical SAS Views

TABLESRE_BDL_QUESTION_MAP

VARCHAR2 (50 Byte)NQUESTION_NAME3

VARCHAR2 (50 Byte)NDATASET2

VARCHAR2 (10 Byte)NSTUDY1

D a t a T y p eN u ll?C o l u m n N a m eI D

Page 19: Optimizing Data Extracts from Oracle Clinical SAS Views

SRE_BDL_QUESTION_MAP Data

CRITERIA_MET_NYFRACSPProtocol###

PERFORMED_NYFRACSPProtocol###

GRADE_CDFRACSPProtocol###

SAMPLE_NYFRACSPProtocol###

NEW_NYFRACSPProtocol###

ASSESSMENT_DTFRACSPProtocol###

EXAM_SPFRACSPProtocol###

RESPONSE_NYFRACSPProtocol###

SITEFRACSPProtocol###

READ_TYPE_SPFRACSPProtocol###

READER_IDFRACSPProtocol###

COMMENT5FRACSPProtocol###

COMMENT4FRACSPProtocol###

COMMENT3FRACSPProtocol###

COMMENT2FRACSPProtocol###

COMMENT1FRACSPProtocol###

Q U E S T I O N _ N A M ED A T A S E TS T U D Y

Page 20: Optimizing Data Extracts from Oracle Clinical SAS Views

TABLESRE_A_B_FILE_MAP

VARCHAR2 (200 Byte)NPROTOCOL11

VARCHAR2 (50 Byte)NINVESTIGATOR10

VARCHAR2 (50 Byte)NRAD_PATIENT9

VARCHAR2 (50 Byte)NRAD_SITE8

VARCHAR2 (50 Byte)NPT7

VARCHAR2 (50 Byte)NINVSITE6

VARCHAR2 (50 Byte)NSTUDY5

CHAR (1 Byte)NDESTINATION_FILE4

VARCHAR2 (8 Byte)YTERMINATION_DATE3

VARCHAR2 (8 Byte)YSTART_DATE2

CHAR (1 Byte)NREC_TYPE1

D a t a T y p eN u ll?C o l u m n N a m eI D

Page 21: Optimizing Data Extracts from Oracle Clinical SAS Views

Execution

• exec pkg_sre_fracsp.fracsp_fill(‘PROTOCOL###', 'STABLE');

• exec pkg_sre_fracsp.fracsp_write_file(‘PROTOCOL###', 'STABLE');

Page 22: Optimizing Data Extracts from Oracle Clinical SAS Views

Process Flow

VERTFRAC, OVETFRAC, VTF2FRAC

VIEWS

Timepoint Header View Reader Comments View

OC SAS Views

INSE

RT

INSE

RT

INSE

RT

Procedure FRACSP_FILL

Procedure FRACSP_

WRITE_FILE

BDL A FileBDL B File

Preview File

Page 23: Optimizing Data Extracts from Oracle Clinical SAS Views

© 2009 Confidential and proprietary property of RadPharm, all rights reserved.

Key Success Factor

• FRACSP Dataset BDL A file, BDL B file, Preview file– Old Method: 9 hours– New Method: 1 hour 25 minutes

• Full set of files– Old Method: 12 hours– New Method: 3 hours

• Overall improvement– 400%

Page 24: Optimizing Data Extracts from Oracle Clinical SAS Views

Contact

Prashant Rajopadhye, PMPOracle Database AdministratorRadPharm, Inc.Phone: +1 609 936 2600 x 2526E-mail: [email protected]