October 8 - PM Breakouts - IQVIA TechIQ 2026

Clinical development teams face growing pressure to deliver faster while managing increasing protocol complexity, operational risk, and escalating demands for quality and efficiency. Organizations can no longer rely on traditional approaches to study design and execution if they want to consistently accelerate timelines and improve outcomes.

This breakout explores how leading organizations are transforming clinical development through predictive strategies, integrated data ecosystems, AI, and new operating models. Sessions will demonstrate how earlier decisions, smarter protocol design, real-time data visibility, and parallel execution can reduce uncertainty and improve performance and speed across the study lifecycle.

Through interactive roundtable discussions, attendees will explore how protocol strategy, study start-up, data flow, risk management, and trial execution can be unified into a single, integrated approach that enables faster, more predictable clinical development.

Agenda:

1:30 - 1:50 PM | Predictive Clinical Development: Accelerating Decisions, Not Just Timelines
Predictable execution begins long before the first patient is enrolled. This opening session explores how leading organizations are moving beyond fragmented study planning to create a single integrated study strategy that connects protocol design, recruitment, data review, risk management, and trial execution. Learn how predictive approaches, connected data ecosystems, and accelerated start-up models are enabling faster, more predictable clinical development.
1:50 - 2:50 PM | Rotating Roundtable Discussions
Attendees will rotate through three interactive roundtable discussions, spending 20 minutes at each table with a dedicated discussion lead before moving to the next topic. Designed to encourage peer exchange and practical problem-solving, these conversations will explore how leading organizations are applying predictive strategies, connected data, AI, and new operating models to accelerate clinical development and improve study performance.

Roundtable Topics:
- From Prediction to Better Decisions: Rethinking Trial Design
  What if organizations could predict trial outcomes before the first patient is enrolled? Explore how simulation, AI, and emerging technologies are helping teams evaluate protocol design choices earlier, identify risks before they materialize, and make better-informed development decisions.
- The Connected Trial: Turning Data into Real-Time Decisions
  Discuss how integrated data ecosystems are creating a continuous flow of operational and clinical insights that enable faster review cycles, more coordinated decision-making, and greater visibility across study execution.
- Why Is Start-Up Still Unpredictable
  Examine the root causes of start-up delays and explore how predictive analytics, AI, standardized processes, and parallel execution models can help organizations move from predicting delays to consistently preventing them.
2:50 – 3:00 PM | Break
3:00 - 3:30 PM | Closing Discussion: Moving from Prediction to Performance
The future of clinical development belongs to organizations that can anticipate challenges before they occur and translate insight into faster, more predictable execution. Join the discussion as we recap key themes and explore practical steps for accelerating clinical development through predictive, connected, and AI-enabled operating models.

Growing pressure to make faster, confident decisions amid fragmented data and shifting market requires moving from siloed analytics to connected, AI-driven approaches that unify insights and enable real-time planning.

This session explores how commercial analytics is evolving into a connected, continuously learning system, linking fragmented data and AI-driven workflows to deliver a unified, decision-ready view of patient, provider, payer, and market dynamics. It covers the shift from siloed reporting and static planning to an integrated approach that enables teams to better understand demand, react to market changes, evaluate scenarios, and align forward strategies in a more iterative and transparent way.

Through a combination of thought leadership presentations, interactive peer discussions, and demonstrations, attendees will explore changing and new ways to bring together diverse insights into a unified view of opportunity, apply consistent logic across analyses, and use scenario-based thinking to evaluate trade-offs and planning assumptions. The session will highlight how this approach improves alignment between brand strategy and planning, increases confidence in forecasting inputs, and enables more coherent, defensible planning—helping teams move from fragmented insights to clearer, forward-looking strategic decisions.

Agenda:

1:30 - 1:40 PM | Opening: Setting the Stage for Commercial Decision Intelligence Commercial teams face increasing pressure to make faster, higher-confidence decisions amid fragmented data, market uncertainty, and accelerating AI innovation. This opening session frames the key industry shifts reshaping commercial analytics and explores the opportunities and challenges associated with building more connected, decision-ready organizations. Interactive audience polling will benchmark current maturity, priorities, and perspectives, establishing context for the discussions that follow.
1:40 - 2:05 PM | Explorer Introduction and Overview
2:05 - 2:35 PM | What It Takes to Win with Modern Analytics, AI, and Technology Drawing on global industry observations, client experiences, and emerging best practices, this session explores how leading organizations are modernizing commercial analytics through connected data foundations, AI-enabled workflows, and decision intelligence. Learn practical lessons on navigating complexity, accelerating insight generation, improving planning agility, and creating sustainable competitive advantage in an increasingly dynamic market environment.
2:35 - 3:10 PM | Innovating and Implementing AI During this panel discussion, explore how organizations are moving beyond experimentation to operationalize AI across commercial workflows. Industry leaders will share practical examples, implementation lessons, and emerging best practices related to decision intelligence, advanced analytics, scenario planning, and AI. The discussion will highlight both global and U.S. perspectives on balancing innovation, adoption, governance, and measurable business impact.
3:10 - 3:30 PM | Wrap-Up: From Insights to Action Conclude the session with a synthesis of key themes, practical takeaways, and emerging opportunities discussed throughout the track. Attendees will leave with a clearer understanding of how to evolve from fragmented analytics and static planning toward a more connected, AI-enabled approach to commercial decision-making.

HCP access is shrinking while expectations for relevance are rising. Organizations must move from fragmented outreach to coordinated, precision-driven engagement across digital and field channels.

This track explores how leading organizations are transforming HCP engagement through healthcare-grade AI, advanced analytics, and integrated omnichannel execution. Sessions will demonstrate how to better understand HCP behavior, identify the moments that matter, and orchestrate interactions that align content, channel, and timing for maximum impact.

Through real-world use cases, panel discussions and live demos, attendees will see how to connect data, insights, and execution from targeting and planning through deployment and performance optimization. By coordinating digital engagement with field activity and learning from performance signals, organizations can improve quality, reduce inefficiency, and drive more consistent outcomes that influence prescribing decisions.

Agenda:

1:30 - 1:40 PM | Opening: The Modern HCP Challenge
Modern HCPs expect relevant, personalized engagement but continue to experience fragmented interactions. This opening session examines the industry shifts driving the need for connected, AI-enabled engagement models and introduces the four pillars of modern HCP engagement.
1:40 - 1:45 PM | Audience Pulse: Interactive Polling
Interactive audience polling surfaces current maturity, challenges, and priorities across personalization, omnichannel engagement, measurement, content, and AI adoption, establishing context for the sessions that follow.
1:45 - 2:05 PM | Know Your HCP: Building the Foundation
Learn how leading organizations combine behavioral, attitudinal, and interaction signals to create a continuously evolving understanding of HCP preferences and decision drivers. Explore the role of AI and advanced analytics in scaling insight generation and improving targeting precision.
2:05 - 2:25 PM | Winning the Moments That Matter
Discover how organizations operationalize engagement by coordinating digital and field channels, sequencing interactions across the HCP journey, and activating the right touchpoints at the right moments. See how signal-driven engagement is replacing static campaign approaches.
2:25 - 2:45 PM | From Activity to Impact
Explore how measurement is evolving from activity-based metrics to assessing true engagement impact, behavior change, and outcomes. Learn how integrated analytics, attribution, and optimization frameworks support continuous improvement.
2:45 - 3:05 PM | What Good Looks Like: From Insight to Impact in Modern HCP Engagement
Through a practical end-to-end scenario, see how HCP insights, coordinated engagement, AI-enabled decision support, and field execution work together to create more relevant and effective interactions.
3:05 - 3:15 PM | Interactive Q&A
Engage directly with industry leaders and peers to discuss real-world challenges, lessons learned, and opportunities related to personalized, AI-enabled HCP engagement.
3:15 - 3:30 PM | Closing & Calls to Action
Summarize the key themes from the session and provide a practical framework for advancing from fragmented outreach to connected, personalized, and measurable HCP engagement.

Patients face increasingly complex care journeys. This session explores how AI and technology can reduce friction, personalize support, and create capacity for the human moments that matter most.

This session explores how organizations are transforming patient support through healthcare-grade AI, intelligent automation, and connected engagement models. It will demonstrate how to identify friction points across the patient journey and deploy technology strategically to accelerate access, personalize support, and improve coordination across patient services, while creating greater capacity for meaningful human interactions that build trust, confidence, and adherence. Through real-world use cases, panel discussions, and live demonstrations, attendees will see how AI can orchestrate patient support across access, onboarding, adherence, and ongoing engagement. By automating routine processes, predicting patient needs, surfacing actionable insights, and enabling more coordinated interventions, organizations can improve operational performance, deliver more relevant patient experiences, and empower care teams to focus their time and expertise where empathy, guidance, and intervention have the greatest impact.

Agenda:

1:30 - 1:40 PM | Why Patient Engagement Must Change
Patient expectations, digital behaviors, and healthcare delivery models are evolving rapidly, creating new demands for engagement. This opening session explores the forces reshaping patient engagement and why organizations must rethink how they deliver connected, personalized support.
1:40 - 2:00 PM | Through the Patient's Eyes
Despite significant investment in patient support, many patients continue to experience fragmented journeys and unmet needs. Hear firsthand how patients experience the healthcare journey and identify the moments where better engagement can make the greatest difference.
2:00 - 2:15 PM | Turning Friction into Flow
As organizations seek to simplify increasingly complex patient journeys, AI and connected engagement models are emerging as key enablers. Learn how healthcare-grade AI and connected engagement approaches are helping organizations reduce friction and improve patient experiences at scale.
2:15 - 2:40 PM | Lessons from the Front Lines
Many organizations are already transforming patient engagement, but success requires balancing automation with meaningful human interactions. Hear how leading organizations are using AI and automation to improve patient experiences while preserving the human touch where it matters most.
2:40 - 3:00 PM | Patient Journey in Action
Bringing patient engagement strategies to life requires coordination across technology, processes, and people. Follow an end-to-end patient journey to see how AI, automation, and human intervention work together to create more seamless, personalized support.
3:00 - 3:10 PM | Ask the Experts
Transforming patient engagement requires continuous learning and collaboration across stakeholders. Engage with patients, industry leaders, and IQVIA experts to discuss practical strategies and lessons learned for driving meaningful change.
3:10 - 3:30 PM | Key Takeaways
Recap the key insights from the session and explore practical next steps to accelerate your patient engagement transformation and deliver more connected patient experiences.

Omni Boston at the Seaport