phuse us connect 2021 csr narrative automation

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/////////// PHUSE US Connect 2021 CSR Narrative automation Ritesh Dhimmar [email protected] June 2021

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Page 1: PHUSE US Connect 2021 CSR Narrative automation

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PHUSE US Connect 2021

CSR Narrative automation

Ritesh [email protected] 2021

Page 2: PHUSE US Connect 2021 CSR Narrative automation

This presentation covers

o CSR Narratives: Facts

o Challenges in creating narratives

o Plans to automate narrative writing

o Process developed

o Success stories

/// PHUSE US Connect 2021 : [email protected]

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CSR narratives: facts

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Patient

Narratives

What is patient narrative

o Patient narratives are written for all phases of clinical trials across all therapeutic areas.

o They are generally written to include information on deaths, serious adverse events, adverse events of special interest and adverse events those leading to permanent discontinuation from clinical trial.

o Patient narratives are brief summary of pre-specified events experienced by patient throughout clinical trial.

o Patient narratives are important part of clinical study repots (CSR). As per ICH guidelines narratives are included in CSR as

• Text in section 12.3.2 of the CSR

• An appendix in section 14.3.3

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Page 5: PHUSE US Connect 2021 CSR Narrative automation

Patient narratives

should describe

As per International Conference on Harmonization (ICH) E3 (section 12.3.2)

Relevant laboratory measures

Investigator’s and sponsor’s opinion on causality

The timing of study drug administration

Post mortem findings (if applicable)

The clinical course leading to the event

Action taken with the study drug in relation to the event

The nature, intensity of the event

Counter measures

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Page 6: PHUSE US Connect 2021 CSR Narrative automation

Patient narratives

should also include

As per International Conference on Harmonization (ICH) E3 (section 12.3.2)

Disease being treated with duration of illness

Drug dose and length of time administered

General clinical condition of patient, if appropriate

Study drug administered

Age and sex of patient Relative concomitant/previous medication with details of dosage

Patient identifierRelevant concomitant/previous illnesses with details of occurrence/duration

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Page 7: PHUSE US Connect 2021 CSR Narrative automation

Challenges to write narratives

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Patient narratives

Challenges

o If narrative writing process start based on pre locked data then extra efforts needed to modify narratives based on locked data

o Delay in template finalization due to difference in opinions of the reviewers

o If large number of narratives needed for a study and writing process starts after clean database:• Risk of missing CSR

timelines due to lengthy and laborious work

o Writing a large number of narratives for a study can become very cumbersome

o Narrative writing process can become very expensive if many narratives are need to be written for a study

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Page 9: PHUSE US Connect 2021 CSR Narrative automation

Plans to automate narrative writing

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Our AIMWhat - “Automatic” generation of narratives after clean database (CDB)

- Containing accurate data / information

- Narrated in correctly phrased sentences

How - “Automatic” retrieval of data from the Clinical database

- By programming into a TEMPLATE composed to comply with ICH guidance

Why For better efficiency at 2 levels after CDB (rate-limiting):

1. Single review round by SME with optional (minimum) editing if needed,without need for manual data QC

2. Straightforward compiling by MWSp as “CSR Section 15” containing Table of Contents & Abbreviations

Who Statistical programming, Medical writing, Study medical expert

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/// Bayer 16:9 Template Chart Pool /// January 2018

Final output

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Page 12: PHUSE US Connect 2021 CSR Narrative automation

/// Bayer 16:9 Template Chart Pool /// January 2018

Final output

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Page 13: PHUSE US Connect 2021 CSR Narrative automation

Patient NarrativesApproaches

Approach 1: Inefficient manual programming

Approach 2:Word template filled based on instructionsUsing Java based SAS macros

Approach 3:Word template filled based on data itselfUsing Python based SAS macros

MW

020406080

100

Approach 1Manual Work

Approach 2(Java)

Instruction Filled

Approach 3(Python)

Data Filled

Estimated Working Effort for different

Approaches

Data Processing &Programming

Word TemplateMaintenance

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Page 14: PHUSE US Connect 2021 CSR Narrative automation

Developed process

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Page 15: PHUSE US Connect 2021 CSR Narrative automation

Process

(1 of 3)

Common template

Narrative

Review-adjust-validateProgram

Narrative

Compose Deliver

Narrative

Reviewwith minimum editing

CSR Section

15

Technical check & compile

Plan and Execute Review and FinalizeStudy Medical Expert-Medical

Writing-Statistical Programming

Statistical Programming

Medical Writing +

Study Medical Expert

Statistical Programming

Study Medical Expert

Medical Writing

Specialist

Feedback

Clean database

Rule-based ‘automation’ Process simplification

CSR

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Page 16: PHUSE US Connect 2021 CSR Narrative automation

Process

(2 of 3)

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SPA: Statistical Programming & AnalyticsMW: Medical WriterSME: Study Medical ExpertMWS: Medical Writing Specialist

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Process

(3 of 3)

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Process

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Python template

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Narrative program

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Success story

Manual approach o Working group was

formed and discussion started among working group members

o User requirements gathered and system availability were assessed.

o Development of process maps started

o Development of global standard template

o SAS program and macros were updated and finalized based on template requirements

Success looks like

Standard template

Global acceptance

Global process

map

Narrative programs & macros

/// PHUSE US Connect 2021 : [email protected]

Java based approach Python based approach

Page 22: PHUSE US Connect 2021 CSR Narrative automation

Contact

Ritesh DhimmarSr. Manager Statistical Analyst

Phone:

e-mail:

+01 – (551) 998-9086

[email protected]

/// PHUSE US Connect 2021 : [email protected]

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Thank you!