Accelerate Innovation & Achieve Tangible Results With

Patient-Centric & Value-Driven Data & Automation Strategies In Pharma & Healthcare

Harness Data Insights, Analytics, Collection & Management & Maximise The Latest Technological Innovations In AI, ML & Automation To Create Practical, Tangible & Compliant Approaches Which Improve The Patient Experience & Boost Commercial Results

08.30 Registration, Informal Networking & GIC Welcome

09.10 Morning Co-Chairs’ Opening Remarks

Can Okar, Vice President, Communications & Public Affairs, International Operations, Novo Nordisk

Neeraj Goel Mittal, Global Head of Data & Analytics, Senior Director, ViiV Healthcare (GSK)

AI & Machine Learning

PANEL Q&A

09.20 Embed AI & Machine Learning As Reliable & Trustworthy Tools To Empower Patients, Boost Business Productivity & Encourage Increased Investment

  • Deliver intelligent and agile AI and machine learning services which positively shape the patient experience and deliver tangible business results
  • Streamline the research and drug discovery process with AI-enabled models to accelerate the time to treatment for patients and rapidly develop life-saving treatments fuelled by data and technological innovation
  • Engage patients and stakeholders around tech to increase automation adoption and mitigate fear with more patient-focused designs and experiences that harness the latest technological trends
  • Develop a digital ecosystem that responds to both business needs and regulatory frameworks to create pivotal and innovative technology-driven data strategies

Matthew Divine, Head of Digital Lab in Clinical Development & Operations, Boehringer Ingelheim

Savvy Data Collection Strategies

09.50 Secure Effective Collection, Management & Optimisation Of Data To Deliver An Accurate, Personalised Experience That Emphasises The Patient Voice & Streamlines Productivity

  • Implement data collection strategies that prioritise increasing transparency and understanding on how data is used to make data sharing commonplace across healthcare and create an appropriate technical, legal and regulatory infrastructure
  • Take advantage of increased digitalization capabilities to assist in the collection and analysis of data, establish trends, and make better business decisions
  • Unlock potential value by making data insights work harder with efficient collection strategies that extract meaningful, reliable and actionable information to meet patients’ demands

Gonzalo Durban, Head of Data & Analytics, Almirall

Big Data

DOUBLE PERSPECTIVE

10.10 Distil Key Insights For Accelerated & Efficient Decision Making To Drive Innovation, Automation & Analyse Trends

  • Make sense of high-volume and high-variety information assets to gain better insights into patient behaviour, improve drug delivery and effectiveness and healthcare outcomes and optimize and improve the efficacy of clinical trials
  • Develop cost-effective, innovative forms of information processing that enable enhanced insight, decision making, and process automation in a data-driven economy
  • What data is needed and how must it be structured and embedded to help fully realise AI’s potential in pharma?
  • Harness predictive models and the potential of big data to analyse trends, help businesses make better decisions and streamline the efficiency of operations to generate higher profitability

Perspective One

Saibal Mukherjee, Director, Digital Initiatives & Gastroenterology, Takeda

10.30 Bonus Session; Reserved For Exclusive Conference Partner

11.00 Morning Refreshment Break With Informal Networking

Automation & Robotics

11.30 Establish Robust & Refreshed Data Strategies Fuelled By New, Digital Innovations & Cutting-Edge Technological Advances In Automation & Robotics

  • Create a digitally mature infrastructure to drive integrated care that pushes boundaries, drives healthcare innovation, and learns from past lessons to create a better and technology-filled future
  • Overcome barriers to automation to enable the business to break free from the conservative boundaries of legacy technologies and systems and embrace new ways of thinking to strengthen relationships with patients
  • How can the pharma industry take advantage of the acceleration to strategically embed new digital innovations into data strategies to drive improvements and secure investment in new automation opportunities?

Sebastian Gulka, Vice President Hearing Aid Operations & General Manager, Demant Szczecin

RWE & RWD

11.50 Harness The Latest Real World Data Insights & Evidence To Create In-Depth, Tailored, Patient-Centric Strategies Which Enhance The Patient Experience

  • Revolutionize clinical trial recruitment processes by implementing real-world data to simplify and confidentially select participants
  • Promote an evidenced-based approach that combines better data and advanced digital maturity to foster transparency and consistency
  • How can RWE be implemented best to build a value proposition for investment and a roadmap towards successful business models?
  • Utilise key insights from performance metrics to measure progress and develop innovative strategies that secure and improve patient engagement
  • Leverage real world patient data for a more detailed understanding of patient values and expectations to provide sophisticated, data-driven experiences which improve patient experience

Sridevi Nagarajan, Head Digital Regulatory Strategy, AstraZeneca

New Technologies 

12.10 Practical, Seamless, Innovative & Tech-Savvy Data Strategies Which Employ Emerging Technologies, Enhance Frameworks & Balance Business Productivity With Patient Needs

  • What are the opportunities and challenges associated with implementing different emerging technologies, and how can you ensure they add real business and patient value?
  • As the world moves rapidly towards a technology-enabled future, how can the pharma industry optimise the use of data with increased digital capabilities and innovative digital tools that are designed and centred on the patient?
  • How can accelerated advancements in technology and the revived spark for healthcare innovation build sustainable data strategies that deliver tangible results?
  • Successfully communicate the benefits of new tech and digital tools to overcome resistance when launching new toolkits, pave the way for novel partnerships and justify increasing investment in the latest digital, AI and tech solutions
 

12.30 Lunch & Informal Networking For Speakers, Delegates & Partners

13.30 Afternoon Chair’s Opening Remarks

Giorgio Gatti, Director of IT Data Insights & Advanced Modelling, Boehringer Ingelheim

Data & Healthcare

PANEL Q&A

13.40 Extol The Positive & Patient-Centric Potential Of Data To Increase Pharmaceutical Industry-Stakeholder Collaboration, Advance Access To Healthcare & Address Future Health Challenges

  • Harness the powerful combination of digital and data to enable and empower staff to work outside of organisational silos and deliver cohesive, user-centred care
  • What are the upcoming opportunities to flourish and develop healthcare and its use of data while incorporating critical lessons learned from the past?
  • What tangible action can be taken when applying data insights to combat existing health disparities and evidence the positive impact?
 

Zuzanna Brzosko, Senior Director, Corporate Strategy & External Innovation, Eli Lilly and Company

Bruno Rizzuti, Head of Data Management (Data & Application Integration), Boehringer Ingelheim

Third-Party Data

14.10 Create Cohesive Assurance Strategies That Align With Third-Party & Supplier Capabilities For Seamless & Coherent Data Strategies

  • Provide assurance and leverage a coherent response for monitoring third- and fourth-party data to generate appropriately structured data that is reliable and actionable
  • Mitigate the concerns associated with external dependencies and outsourcing of third-party providers and ensure suppliers actually support core business processes to establish collaborative assurance throughout the supply chain
  • Expertly navigate the complexities of external sourcing and create cohesive stakeholder engagement to maximise the potential of third-party capabilities

Vijay Kara, Director of Safety & Quantitative Innovation, GSK

Data Privacy, Compliance & Governance

14.30 Enhance Existing Approaches Around Data Privacy, Compliance & Governance To Coordinate With Regulatory Frameworks, Guarantee High-Quality Data Readiness & Mitigate The Risk Of Data Breaches

  • Effectively respond to regulator expectations and provide tangible evidence of compliant and robust business models that establish data governance and privacy practices
  • Define the benchmarks for assessing regulatory frameworks, explore the roadblocks in terms of adoption, and determine which measures you can put in place to minimise the risk of data breaches
  • Develop existing approaches around data and respond to the latest regulatory frameworks appropriately and efficiently to ensure the highest quality data possible
  • What is next on the horizon for data privacy, compliance and governance and how can the pharma industry prepare and keep working towards aligning to the regulations and compliance?

Alexander Dahl, Vice President Data & Analytics, Laerdal Medical

Alon Garber, Head of Trusted Data Engineering & Integrity, Takenda

14.50 Bonus Session; Reserved For Exclusive Conference Partner

15.20 Afternoon Refreshment Break With Informal Networking

What Are The Building Blocks Of A Successful Data Strategy?

CASE STUDY

15.50 Case Study

  • What is data strategy?
  • How do you define the building blocks of a successful data strategy?
  • What can go wrong?
  • …questions leading to the data-strategy-on-a-page

 

Jack Lampka, Head of Data, MSD

Big Data

DOUBLE PERSPECTIVE

16.10 Distil Key Insights For Accelerated & Efficient Decision Making To Drive Innovation, Automation & Analyse Trends

  • Make sense of high-volume and high-variety information assets to gain better insights into patient behaviour, improve drug delivery and effectiveness and healthcare outcomes and optimize and improve the efficacy of clinical trials
  • Develop cost-effective, innovative forms of information processing that enable enhanced insight, decision making, and process automation in a data-driven economy
  • What data is needed and how must it be structured and embedded to help fully realise AI’s potential in pharma?
    Harness predictive models and the potential of big data to analyse trends, help businesses make better decisions and streamline the efficiency of operations to generate higher profitability

Perspective Two

Rafael Laffarga, Head of ERP Analytics Finance, Roche

Data Insights, Trends & Analytics

PANEL Q&A

16.30 Optimise Data Analytics For Accurate Insights Which Successfully Manage & Interrogate Data To Distil Meaningful, Tangible Insights & Extract Trends To Prepare For The Future

  • Improve the management, integration, and processing of data to develop accurate data-led insights which boost business performance and generate impactful data to sharpen business, commercial and patient strategies
  • Unleash the power of data to power a data-driven organisation which prioritises better business outcomes charged by smarter, insight-led decision making
  • As the pharma industry navigates the increasing complexity of international data regulation, how can new data techniques and improved analytics engender future innovation?

Argy Tzitzi, Regional Data & Commercial Analytics Lead, MSD

 

Marco André, Global Head of Customer Engagement & Insights, People Partner, Novartis

Laura Cirillo, Head of Digital & Innovation, AstraZeneca

 

Jack Lampka, Head of Data, MSD

17.00 Afternoon Chair’s Closing Remarks & Official Close Of Conference