Annual Conference 2017

Digital Innovation in Healthcare

8th - 11th October 2017

Conference Summary

The beautiful city of Edinburgh, Scotland was the scene of the 13th PhUSE Annual Conference. The theme for the 2017 Conference is “Digital Innovation in Healthcare”.

The conference was a great success with close to 700 attendees!

We look forward to seeing you in 2018.

 

Papers & Presentations

Stream winners are bolded.

Application Development

AD01(2017): A User Interface to Your SAS Programs
Hailemichael Worku, OCS Life Sciences
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AD02(2017): Build Apps for your Enterprise with SAS® and HTML5
Nikola Markovic, Boemska Technology Solutions
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AD03(2017): EXPLORT: A Shiny App to EXPLORE Data Interactively and EXPORT the Customised Graphics as an R Script
Claire Petry, Roche
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AD04(2017): Statistical End User Tool Development
Mickael Borne, 4Clinics
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AD05(2017): The TFL Workbench:From Pilot to Production
Iain Humphreys & Hansjörg Frenzel, PRA Health Sciences
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AD06(2017): Driving Faster Data Insights with End-to-end Integration
Jon Strutt, Accenture
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AD07(2017): Presenting Study Results form a Metadata-driven Ecosystem
Rajwanur Rahman, Shafi Consultancy
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AD08(2017): Lint: A SAS Program Checker
Igor Khorlo, inVentiv Health Clinical
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AD09(2017): A Labour-saving SAS® Macro fro Programmed Patient Narratives
Vineeth Kurnala & Prafulla Girase, Biogen
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AD10(2017): How to Organise your SCE to Digest Big Data Related to Digital
Alain Vasseur & Christelle Le Beaudour, Sanofi
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AD11(2017): A SAS® Programmer's Guide to Life on the SAS Grid
Eric Brinsfield, Meridian Analytics & Joe Olinger, d-Wise
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Analytics & Statistics

AS01(2017: Futile or Not?  An Interim Analysis Case Study
Ingrid Franklin, Veramed
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AS02(2017): Adverse Events Data Over Time 
Kriss Harris, SAS Specialist
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AS03(2017): How to Fit Longitudinal Data with Proc MCMC
Maud Henion, Arlenda
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AS04(2017): Comparison of Different Methods of Detecting Publication Bias
Janhavi Kale & Anwaya Nirpharake, Cytel
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AS05(2017): A Real-Life Experience on the Challenge Called Genetics
Sigrid Fouchier, OCS Life Sciences
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AS06(2017): The Model Statistician Insights into Model Selection Techniques in Clinical Trials
Peter Williams, Veramed
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AS07(2017): Health Technology Assessment PRO Least Squares Mean Difference Programming Techniques Using SAS®
Yirong Cao & Siory Traoré, MSD
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Coding Tips & Tricks

CT01(2017): Reducing Dataset Merges with Data Driven Formats
Paul Grimsey, Roche
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CT02(2017): Efficient Coding Techniques in SAS
Geetha Kesireddi, GCE Solutions
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CT03(2017): SAS Intellisense
Deepak Ananthan & Sachin Bharadia, Zifo Rnd Solutions
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CT04(2017): SAS Keyboard Shortcuts Enhanced Using %Clipbrd() Macro Function
Jean-Michel Bodart, Business & Decision Life Sciences
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CT05(2017): Comparing Six Techniques to do Data Driven Programming
Joris Derks, OCS Life Sciences
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CT06(2017): SAS DATA Step Debugger
Andy Bayliss, SAS
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CT07(2017): Are you Still Afraid of Using Arrays? Let's Explore their Advantages
Vladyslav Khudov, Experis Clinical
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CT08(2017): Combining ODS Graphics Output
John Hendrickx, Danone Nutricia Research
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CT09(2017): Tips and Tricks to Create In-text Tables in Clinical Trial Reporting Using SAS
Rafi Rahi, Shafi Consultancy 
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CT10(2017): Git with It and Version Control!
Carrie Dundas-Lucas & Ivan Gomez, Zencos Consulting
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CT11(2017):  Using VBScript for Perfecting Statistical Reports
Ekaterina Torchinskaya & Andrey Myslivets, Data MATRIX
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CT12(2017): Defining Script Metadata for Sharing: Using PhUSE R Package as an Example
Hanming Tu, Accenture
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CT13(2017): Programming Solutions when Developing a Database Compare Macro
Michael Rimler, FMD K&L
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CT14(2017): Job of Jobs
Kris Lauwers & Raphael Noirfalise, Janssen Research & Development
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Data Handling

DH01(2017): Patient-generated Health Data (Social Media) is a Potential Source of ADR Reporting
Erwan Le Covec, Stéphane Chollet & Essam Ghanem, Keyrus Biopharm
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DH02(2017): The Secure Data Office Concept
Annemie Van Dijck, SGS Life Sciences
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DH03(2017): Converting Legacy Data to "ADaM-like" Data for Making Efficient Regulatory Response
Bengt F Fälström, AstraZeneca
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DH04(2017): EMA Policy 0070: Data Utility in Anonymised Clinical Study Reports (CSRs) 
Jean-Marc Ferran, Qualiance, Stephen Bamford, Janssen Research & Development & Sarah Nevitt, University of Liverpool
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DH05(2017): How a Metadata Repository can Facilitate Automated Data Collection Processes 
Judith Goud, Nurocor
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DH06(2017): Constrain your Terminology – Use Integrity Constraints to Validate your Data
Sven Greiner, HMS Analytical Software 
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DH07(2017): Robust Study Database Build: An Effective Start Towards Creation of Quality SDTMs
Onkar Tajarekar,TCS 
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DH08(2017): Data Cleaning Technique for Business Analytics: What Stats Van Do for DM
Adam Korczynski, QuintilesIMS
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DH09(2017): Plausible Adversaries in Re-Identification Risk Assessment
Lukas Kniola, Biogen
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DH10(2017): Detecting Treatment Emergent Adverse Events (TEAEs)
Matthias Lehrkamp, Bayer 
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DH11(2017): SDTM-ADaM Hybrid: Supermodel or Frankenstein?
Ken Stoltzfus, Accenture 
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DH12(2017): Metadata-driven Tool for Creation of a Dataset for Exploratory Analyses
Alexey Kuznetsov, Grünenthal
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Data Standards & Governance

DS01(2017): Industry Standards - What Else Exists Beside CDISC
Joerg Dillert, Oracle
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DS02(2017): Harmonizing SDTM at the Source:  Designing Collection Instruments that Support Sponsor Standards
Sue Huxtable, Chiltern & Charlotte Lomberg, Astra Zeneca 
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DS03(2017): SDTM vs CDASH: Why You Need Them Both!
Kit Howard & Shannon Labout, CDISC
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DS04(2017): Decrypting SDTM Trial Design Datasets for Complex Study Designs
Charumathy Sreeraman, Ephicacy
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DS05(2017): Considerations and Conventions in the Submission of the SDTM Tumor and Response Domain
Jerry Salyers & Fred Wood, Accenture
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DS06(2017): Intervention ML: Mapping of Meal Data
Rahul Loharkar & Sandeep Sawant, inVentiv Health Clinical
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DS07(2017): CDISC Transport Standards - A Glance
Edwin Ponraj Thangarajan & Giri Balasubramanian, PRA Health Sciences
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DS08(2017): Cross Functional Standards Governance for Pharma
Warwick Benger, GlaxoSmithKline
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DS09(2017): Clinical Study Oversight: Different Approaches to Using Data Standards
Jasmine Kestermont & Peter Van Reusel, Innovion
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DS10(2017):   Moving Towards a Round World Linking Multi-dimensional Clinical Metadata Across the CDISC Standards
Chris Decker & Scott Bahlavooni, d-Wise
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DS11(2017): Consuming Your Metadata for a Healthy Mapping
Alan Cantrell & Julius Kusserow, PAREXEL
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DS12(2017): Ahead of the Curve: Leading with Industry Data Requirements
Nancy Haeusser, GlaxoSmithKline
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DS13(2017): Patient-level Data-sharing (PLDS) Initiatives in Pharmaceutical Companies
Sophie Buyle, Business & Decision Life Sciences
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Data Visualisation

DV01(2017): Interactive Oncology Tumour Dashboard
Félix Jaminion, Roche
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DV02(2017): Clean Patient Tracker – Using Spot Fire Analytics for Patient Data Cleaning 
Luis Torres, Chiltern
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DV03(2017): REACTing to Data: The Use of Data Visualisation within Early Clinical Statistical Programming at AstraZeneca
Suzanne Tautz & Shyamprasad Perisetia, AstraZeneca
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DV04(2017): The Art of Data Visualization: Detecting Multivariate Data Outliers Using an Interactive Approach 
Dianne Peers, GCE Solutions
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DV05(2017): Visualising CDSIC SDTM for Monitoring and Review
Philip Bartle, PPD
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DV06(2017): Interactive Visualisation of Clinical Laboratory Parameters with SAS Stored Processes and JQuery Ajax
Volker Hart, Bayer
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DV07(2017): Making Graphs Easier to Validate - The Benefits of ODS Graphics
Phillip Holland, Holland Numerics
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DV08 (2017): Looking at SAS Code as Data
Christof Binder, Roche
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DV09(2017): Visualizing Multiple Endpoints: Extending the Use of Forest Plots in Clinical Trials
James Johnson & Mark Jaros, Summit Analytical 
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DV10(2017): PRO GMAP to Visulaize 30 Years of US Census Data
Evian Fernandez Garcia, Astellas Pharma
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Industry Starters

IS01(2017): A Joke Stereotypes and Communication
Sarah Berenbrinck, Berenbrinck
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IS02(2017): Completing the Data Set Jigsaw: Hints and Tips for Assembling Data Sets Together
Cerys Rand, PRA Health Sciences
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IS03(2017):GUI Method of Mapping SDTM from Raw Data
Elisa Natale, Cross NT
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IS04(2017: Worst CDISC Implementation Processes - How to Avoid Some Very Basic Mistakes in SDTM ADaM Define
Hannes Engberg Reader & Michale Riech, PRA Health Sciences
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IS05(2017: Growing Up with SAS: It Gets Real
Yevhen Los & Dmytro Hasan, Experis
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IS06(2017): A Practical Guide to Macro Quoting and Working with Macro Variables
Dawid Militowski, MSD
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IS07(2017): Check Your Code! Control Your Data! 
Kristina Zweier, Clinipace Worldwide
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Management

Papers will be available soon

 

Professional Development & Training

PD01(2017): Can Everyone Can Read Maps!  Plotting Your Career Path and Preparing for the Terrain
Diana Stuart, Veramed 
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PD02(2017): Attack of the Clones:  How to Individualize Your Approach to Work and People
Jennifer Dootson, d-Wise
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PD03(2017): Finding Talents?  Think Innovative!
Yi Zhang, Rosemind Consulting
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PD04(2017): Moving Cheese:  How to Lead Traditional Programmes on the Journey to a New World
Steve Noga, Rho & John Leveille & Melissa Tanner, d-Wise
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PD05(2017): From Programmer to Patient.  Why it is Good to be a Clinical Programmer When You Are Seriously Ill
Colin Brown, Hearthought Enterprises
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PD06(2017): Outsourcing: CRO Oversight - GSK's Journey Over the Last Few Years
Ryan Finch, GlaxoSmithKline
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PD07(2017): Dipping our Fingers into the World of Data Representation - A Visual Journey Using Encapsia™ Clinica
Minola Ilica, CMed
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PD08(2017): 2025: Clinical Data Scientists for Tomorrow
Chris Price, Lynn Clipstone, & Shafi Chowdhury, PhUSE
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Posters

PP01(2017): Central Statistical Monitoring 
Tammy McIver, Covance
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PP03(2017): Using Web Services on SAS LDSAF: Authentication Using Name/Password and System to System
Mark Roosen, I-Curva BVBA
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PP04(2017): The Graph Template Language of SAS
Stephanie Fechtner, Grünenthal
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PP05(2017): Efficiency Ratios as a Method of Determining Statistical Computing Environment Effectiveness
Andy Richardson,d-Wise
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PP06(2017): SAS Performance Qualification for Clinical Programmers
Tatiana Volodina & Andrey Myslivets, Data MATRIX
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PP07(2017): Experiences of Managing Quality Registry Data for Effective Exploration
Catharina Dahlbo, Capish
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PP08(2017): Surviving your Statistician: A Programmers Guide to Survival Analysis
James Diserens, Veramed
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PP09(2017): The First Steps in Laboratory Dataset
Paulina Kuczkowska & Karolina Filar, Quanticate
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PP10(2017): Anonymisation of Clinical Study Reports
Julie De Wever & Marie-Anne Thil, Keyrus Biopharma
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PP11(2017): Programming Development and Validation Tracking Application
Jennie McGuirk & Rachna Mishra, ICON
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PP12(2017): Empowering Biomarker Data to Accelerate Personalised Health Care
Xiuting Mi Roche
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PP13(2017): A Better Way of Representing Clinical Trial Data Using SAS Graphs
Murali Neela, GCE Solutions
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PP14(2017): Power Calculation in a Multi-Stage Design, Following the Main Endpoint, A Binomial DIstribution
Antonio Nieto & Javier Gómez, PharmaMar
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PP15(2017): System Macros are Useful - You Can %Bquote Me on That
Melanie O'Neill, PPD
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PP16(2017): Automatic Creation of Define .xml for ADaM: A Fast Way Approach, Starting from ADaM Metadata
Andreas Parodi & Dmitri Petratchenko, Valos
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PP17(2017): Cross Functional Standards Governance for Pharma
Sheetal Patel & Warwick Benger, GlaxoSmithKline
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PP18(2017): Approach to EMA Policy 0070 - From Data Science Perspective
Jorine Putter, Grünenthal
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PP19(2017): Use Excel in SAS for Free
Antonio Rodriguez, Chiltern & Sebastiâ Barceló, Syntax for Science
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PP20(2017): What Can JMP Clinical Do for You?
Alastair Scarlett, d-Wise 
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PP21(2017): Mobile Technologies & Wearable Devices
Paul Verburen, Danone Nutricia Research & Frank Dietvorst, PW Consulting
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PP22(2017): Career Development Through Job Rotation:  Cases and Lessons Learned
Simon Wang, Roche 
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PP23(2017): Integrated Clinical Databases to Detect Safety Signals Across Products and Indications
Olive Yuan, Dirk Heerwwegh & Macaya Douoguih, Janssen Research & Development
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PP24(2017): Common Mistakes by Programmers & Remedies
Venkata Sairam Veeramalla, GCE Solutions
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PP25(2017): Mapping of Gastrointestinal Tolerance Data to SDTM
Lieke Gijsbers, OCS Life Sciences
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PP26(2017): Review of Case Report Tabulation (CRT) Packages
Johan Schoeman & Nicola Parry, GlaxoSmithKline
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PP27(2017): Adventures in SAS® Studio
Lawrence Heaton-Wright, Quintiles
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Regulatory

RG01(2017): Implementing JumpStart at Novo Nordisk A/S
Kina Ulkaer Jørgensen, Novo Nordisk
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RG02(2017): Evaluation of Re-identification Risk for Anonymized Clinical Documents
Parvee Kumar & Rajan Sareen, GCE Solutions
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RG03(2017): The Impact of Regulations on Immuno-Oncology Submissions
Geoffrey Mann, SAS Institute, JMP Division
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RG04(2017): An FDA Submission Experience Using the CDISC Standards
Angelo Tinazzi & Cedric Marchand, Cytel
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RG05(2017): Extension Studies - CDISC Submission Challenges and Scenarios
Arvind Sri Krishna Mani, Deepak Anathan & Sachin Bharadia, Zifo RnD Solutions
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RG06(2017): Assessing New CFDA Requirements on Data Integrity Using Risk-Based Monitoring and Enrolment Pattern
Wenjun Bao & Richard Zink, SAS Institute
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Real-world Evidence

RW01(2017): Putting Sisyphus Out of a Job, Making Health Care Research a Reality
Geoff Low, Medidata Solutions
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RW02(2017): Big Data in the Pharma World: What& How Do We Want It? 
Mayank Anand, INC Research
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RW03(2017): Devices Big Data and Real World Evidence
Mike Collinson, Oracle
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RW04(2017): Use of Fast Healthcare Interoperability Resources (FHIR) in the Generation of Real-World Evidence
Trisha Simpson, UCB, Regina Zopf, FDA, Bhargava Reddy, UCB & Jeff Abolafia, Rho
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RW05(2017): Applying the OMOP Common Data Model to Dutch Healthcare Data: A Case Study
Rients van Wijngaarden, PHARMO Institute
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RW06(2017): Visualizing and Cleaning Unsolicited Safety Data (ICSRs) Using R in Aiding Causality Assessment
Sheik Akhil, Krishna Asvalayan & Chennakeshavareddy Sannala, Cytel
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RW07(2017): Real World Data Surprises 
Ewa Sleszynska-Dopiera & Jan Rudnik, Quanticate
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Software Demonstrations

SD01(2017): KeyDAN: a Clinical Data De-identification Solution
Stéphane Chollet, Keyrus Biopharma
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SD02(2017): FlexRandomizer®: Easy Randomisation in Real Time
Priyadarshan Shinde & Mangesh Kulkarni, Cytel
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SD03(2017): Qlik Sense for Pharmacovigilance
Daniel Andersen, S-cubed
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SD04(2017): A Target Approach to Medical and Safety Reviews
Erik Doffagne, CluePoints
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SD05(2017): SAS Visual Data Mining
Andy Bayliss, SAS Institute
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SD06(2017): Tools for All Sponsors
Johannes Ulander, S-CUBED & Dave Iberson-Hurst, Assero
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SD07(2017): I Want It All and I Want it Now - Finding What You are Looking For .... Fast!
Jörn Bilow, Entimo
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SD08(2017): Formedix On: A Powerful Platform to Accelerate Clinical Trials
Kevin Burges, Formedix
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Standards Implementation

SI01(2017): Implementing a Meta-data Repository (MDR) Using Functional Service Provider (FSP) How Does it Work?
Carla Santillan, Chiltern
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SI02(2017): Clinical Metadata – Web-based metadata management with a CDISC mindset
Andrew Ndikom & Liang Wang, Clinical Metadata
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SI03(2017): End-to-End Traceability from Protocol Development to Submission
Mikkel Truan, Trine Danø Klingberg & Francis Dsa, Novo Nordisk
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SI04(2017): Analysis Results Metadata 1.0 for Define-XML 2.0 - Benefits to Statistical Analysis
Lionel Debecq, Business & Decision Life Sciences 
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SI05(2017): Bridging the Gap Between Legacy and CDISC Standards
Bill Qubeck, d-Wise
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SI06(2017: ADaM Mapping - Key Considerations for Metadata Driven Realisaztion
Elenea Gathe, Bayer Pharma
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SI07(2017): Leverage Automation to Accelerate the Creation of Submission-ready Artifacts
Serena Pierson & Lourdes Devenney, Accenture
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SI08(2017): Managing Study Workflow Using the Resource Description Framework (RDF)
Armando Oliva, Semantica
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SI09(2017): Streamline SDTM Development and QC
Stephen Gormley, Amgen
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SI10(2017): Define.xml Tools Supporting SEND/SDTM Data Process
Kirsten Langendorf, S-cubed
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SI11(2017): Implementation of CDISC ADaM and Pharmacodynamics
Françoise Frérart & Joanna Magielse, SGS Life Sciences
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SI12(2017): ADAM Programming - The Good, The Bad and The Ugly 
Pam Howard, ICON
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Trends & Technology

TT01(2017): Helping The Define.xml User
David Iberson-Hurst, Assero
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TT02(2017): Breaking the Mould: Clinical Trials Data as RDF
Tim Williams, UCB & Armando Oliva, Semantica
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TT03(20117): Catching Up: Continuous Integration Pipelines for Clinical Analysis
Andrew Karpow, Andrew Karpow IT
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TT04(2017): Connected Trials
Abi Velurethu, Bayer Healthcare
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TT05(2017): The Untapped Potential of the Protocol Representation Model
Jeff Abolafia, Rho & Frank Dilorio, CodeCrafters
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TT06(2017): Enabling Data Driven Culture via Technology
Chandi Kodthiwada, Accenture
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TT07(2017): Automated Anonymisation of Protected Personal Data in Clinical Reports
Azad Dehghan, DeepCognito & Cathal Gallagher, d-Wise
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TT08(2017): PhUSE is Moving Cloud Adoption Forward in Life Sciences
Tony Hewer, Medidata Solutions
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TT09(2017): SDTM Domains by Query - is it Possible?
Johannes Ulander, S-CUBED
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TT10(2017): Topology-based Clinical Data Mining: Identifying Hidden Patterns in Clinical Datasets
Sergey Glushakov, Iryna Kotenko & Andrey Rekalo, Intego Group
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University Day 

Papers will be available soon

  

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