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2013 OHSUG - Oracle Clinical and RDC Training for Data Management and Clinical Teams

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    Oracle Clinical and Remote Data

    Capture Training for Data

    Management and Clinical Teams

    September 22, 2013

    Tammy DutkinPractice Lead, CDM and EDC

    BioPharm Systems

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    Todays Agenda

    Welcome and Introductions

    Who?

    What?

    When?

    Why?

    Managing expectations Some examples

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    Tammy Dutkin

    Vice President, CDM and RDC

    20+ years of experience

    in the clinical trials industry,

    including 12 years of managing abiometrics CRO and 2 years

    managing a full service CRO

    15+ years of experience with

    Oracle Clinical and Remote DataCapture (RDC)

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    Introduction

    Since data management and clinical teams are often taught how to

    use systems specifically for the tasks and roles they are assigned, it is

    not uncommon for system users to be unaware of the many othercapabilities a solution offers. This lack of knowledge could lead to

    misunderstandings, communication problems, and misaligned

    expectations among team members.

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    Whos involved?

    Everyone needs to buy in that technical cross training is important

    enough to dedicate the time and the resources (Managers,

    Trainers, the people being trained) The trainees should have a basic understanding of the big picture

    and an in depth of understanding of their role/job function

    Know the level of the trainees non-technical-ness and understand

    that the training might not be ideal for everyone!

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    Who gives the training?

    The person conducting the training should understand the

    perspective of who is being trained as well as the material they are

    training on this can be difficult to resource! There are pros and cons of having the person be internal to your

    organization

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    What should they be trained on for Oracle Clinical?

    Abbreviated OC Basics (3-4 days) including abbreviated exercises,focused more on functions/process than technical aspects Overview

    Common Functions Study Design

    CRF Modeling

    GLIB

    Simple DCMs / DCIs

    Complex Modeling

    Data Entry Data Managers should know this already Procedures

    Discrepancy Management Data Managers should know this already

    DCFs (if this is used by the company, Data Managers should know this already)

    Data Lock / Freeze

    RDC Setup (demo only) Flex studies, graphic layouts, DCI Blinding,

    Conditional Branching

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    What should everyone train on for RDC?

    RDC Onsite Basics (2 days) including abbreviatedexercises

    Overview Concepts

    Data Entry

    Discrepancy Management

    Verification

    Approval

    Special Listings

    Reports

    (incorporating companys workflow and showing all role perspectives, givethe users a chance to play in the system using the different roles)

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    When?

    Neither OC technical or RDC training would be good to give

    someone who is new to the industry

    OC Technical training is not the right training to be given duringsomeones first week on the job

    Should be real time (so they are able to apply immediately following

    training)

    Needs to be during a time the trainer/trainees are free from

    distractions

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    Why?

    Gain insight / perspective

    By learning the systems capabilities, they can identify ways

    to simplify their own job

    Avoid communication issues if everyone is speaking the

    same OC language

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    Some warnings..

    If they dont see the benefits of having the training, they wont get

    anything out of it.

    If they dont apply what theyve learned immediately following thetraining, they will forget the majority of it.

    By the second day of training, several people in the class will have that

    deer in the headlights look

    At least one person after having the training, will be crazy enough to

    decide they want to switch to the database design team

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    So, manage the expectations!

    The objective is not for your DMs and CRAs to walk out of the training

    and be able to set up a database.

    The objective is: To have a deeper understanding of the systems capabilities and limitations

    To have a new perspective on what it takes to setup a study

    Have a whole new set of acronyms they can impress their friends with

    Be able to think outside their functions box and streamline their own

    processes And have a clearer vision of the big picture!

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    Some tips to a successful class

    Make sure the expectations and objective of the class is clear and

    communicated to everyone well before the class is scheduled

    Encourage the trainees to bring in their questions Make it interactive

    Provide a training environment to play in and make sure everyone is

    able to access it

    Insist EVERYONE does the exercises

    Keeping coming back to the big picture and stressing how things tie

    together. That lightbulb will go on eventually!

    Keep the groups small and similar in level of experience

    Provide food and lots of caffeine

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    Some eye-opening topics for Data Managers

    Basics of how global objects are created and how one little box beingchecked can have major impacts on data entry Example: when a question is marked as an indicator question, you wont be able to

    unmark it once the DCM is activated

    What can be changed at the GLIB and Study Definition level afterthings have been activated Examples: you can increase a question length, but not decrease it; you cant change

    the question type (Char, Non-Lab etc) once the question is activated; you need tocheck that a question is DVG modifiable, but you can change that DVG at the study

    level

    How validations are programmed and how to trouble shoot when theyarent working Example: if a validation has two question groups associated with it and you dont

    check create placeholder, the check wont run if both question groups havent beenentered.

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    Some eye-opening topics for Data Managers

    How conditional branching / flex studies can cut down on the number of

    edit checks that are needed

    Example: By making the Pregnancy Test questions only appear for Female subjects,an edit check confirming males dont have a positive pregnancy test is not needed

    Alpha DVGs uses and cautions

    Example: An alpha DVG can be used to allow the word UNKNOWN for a Date

    question, however that value will be stored in the Exception Value Text. That

    Exception Value Text needs to be pulled in the extract as the Value Text will be

    blank. Throughout the study, DM needs to be checking for instances whereexception value texts are needed.

    Using announcements and attachments in RDC

    Make sure everyone is working off the same version of documents and has access

    to the information they need

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    Some eye-opening topics for Data Managers

    Down and dirty data viewing/querying from the View Definitions screen

    Easy way to get a simple listing

    What RDC looks like / functions for other users Will help them phrase queries appropriately for the site and be able to support the

    other users

    The ability to attach eCRF guidelines to an individual eCRF

    The extra work of setting this up ahead of time can save dozens of questions and

    hundreds of queries from your sites. Ensures everyone is referencing the same

    guidelines.

    Using special listings for cross checks

    By cutting and pasting the special listings for AEs/ConMeds/MH into Excel, easy

    way to do manual cross checks between the 3 modules

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    And for CRAs

    Being able to view/action multiple discrepancies across allsites from the Discrepancy Database

    Especially helpful when CRAs are trying to figure out the overallvolume of work they need to get done

    What their sites/Inv see when they log into RDC Help them to be able to help their sites

    Using Special Listings Same as Data Managers. Can be used to run cross checks across

    modules

    Running the offline edit checks Dont have to wait for those checks to run after theyve already left

    the site. Run them now!

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    And for CRAs

    Differences between univariate and multivariate

    discrepancies.

    Why do some queries fire when sites tab through the field and otherwhen they hit save?

    Why/how discrepancies close Understanding that edit checks that fired during batch validation are only

    going to close when batch validation runs again

    How conditional branching / flex studies can cut down on

    the data entry and SDV

    No longer the need to mark pages blank for screen failures or early

    withdrawal or for different groups of subjects.

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    By training, you can avoid the DM giving the DB Programmer this form to set

    up in RDC...

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    Or can avoid requests/questions from the study manager such as...

    Just create one query that covers all the subjects...

    Why is this query not firing/not closing when my site saves

    the form?

    Why can we not approve/verify this page?

    Where can I run a listing/report?

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    Summary

    By training your data management and clinical teams on the many

    other capabilities OC/RDC offers, the entire team will benefit

    Have greater insight / perspective and a clearer picture of the overallprocess

    Be able to identify ways to streamline

    Be able to communicate more effectively

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    Q&A

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    Contact Us

    North America Sales Contacts:

    Rod Roderick, VP of Sales, Trial Management Solutions

    [email protected]

    +1 877 654 0033

    Vicky Green, VP of Sales, Data Management Solutions

    [email protected]

    +1 877 654 0033

    Europe/Middle East/Africa Sales Contact:

    Rudolf Coetzee, Director of Business Development

    [email protected]

    +44 (0) 1865 910200

    General Inquiries:

    [email protected]


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