Improve Your Brand Opportunity Using Precise Patient Identification

Webcasts

Thursday, September 29,2022 at 11am BST | 12pm CEST | 6am EDT Learn how to utilize Advance Analytics and Machine Learning on integrated Real-World Data (RWD) to enhance your current understanding of the market to rapidly identify patients who can benefit from treatment. Hear experts explore several use cases including an interactive demo: from early opportunity patient finding and patient activation to brand positioning and contextualized HCP messaging of disease characterization.

Register Free: https://www.pharmexec.com/pe_w/patient_identification

Event Overview:

Do you have a holistic understanding of your true patient opportunity in your key European markets? Are you able to support your hypothesis with evidence? Are your patient acquisition strategies proving successful across multiple markets?

Learn how to utilize Advanced Analytics and Machine Learning on integrated Real-World Data (RWD) to enhance your current understanding of the market to rapidly identify patients who can benefit from treatment. Ensure your brand positioning is aligned to real world medical events, so you can deploy timely and impactful engagement strategies.

Leverage the power of connected intelligence by maximizing the use of the latest RWD, Advanced Analytics, Scalable Technologies, and Therapeutic SME to accelerate your brand adoption by continuously and proactively identifying your true opportunities across diseases areas and markets.

3 Key take-aways

Hear experts explore several use cases including an interactive demo: from early opportunity patient finding and patient activation to brand positioning and contextualized HCP messaging of disease characterization.

1. Identify current and future opportunity patients for your brand using machine learning and advanced methodologies
2. Enhance your understanding of the market landscape and patient treatment pathways based on dynamic real-world insights
3. Scale your operations and run comparative analysis across therapeutic areas and markets

Ban Tawfik
Product & Strategy Director
IQVIA

Ban is responsible for IQVIA’s AI and Machine Learning Platform offerings and has been helping clients extract value of deploying AI/ML capabilities, translating predictions and insights into business decisions and actions in healthcare. She’s been leading the product design, technical delivery, commercial strategy and deployment for a suite of Platform offerings. Before IQVIA, Ban has worked as Senior Product Manager at a number of global software providers, and as Head of Patient Engagement Solutions in one of the UK’s leading provider of global point of care systems for healthcare.

Andrea Seltmann
Senior Principal – Real-world Patient Insights, commercial
IQVIA

Andrea is EMEA Practice Lead at IQVIA for Real-world Patient Insights for Commercial Decision making. With 15+ years of experience in consulting top 10 pharma company HQs as business partner/ account manager towards marketing and real-world evidence insights and strategies,
she is combining experience in epidemiology, clinical/RWE and commercial research to find optimal Go-To-Market strategies. She is specialized in applying Real-world patient data to these commercial business questions. Andrea holds a Diploma in Sociology with concentration in statistics, empirical method and political sociology.

Ashley Pitcher, DPhil
Principal Consulting Svcs
IQVIA

Ashley is IQVIA Real World Solutions’ Offering Lead for Artificial Intelligence and Real World Evidence for Europe, Middle East and Africa. Ashley has more than 10 years of experience in life sciences consulting and analytics across the product life cycle. Before her current role, she headed up the IQVIA’s Real World Solutions team in Denmark. Ashley holds a doctoral degree in Mathematics from the University of Oxford.

Register Free: https://www.pharmexec.com/pe_w/patient_identification