Agenda for Pre-Conference Workshops – Monday, March 22, 2027Monday, 22 March 2027 - EST/EDT (Eastern Daylight, GMT-4)

Map specific AI technologies to common patient journey pain points, from enrollment to adherence support

Build a framework for assessing AI maturity and readiness within your organization's patient support infrastructure

Navigate the AI vendor landscape and distinguish between platform providers, point solutions and custom development options

Develop change management strategies that position AI as augmentation rather than replacement

Build a culture where teams feel empowered to experiment, provide feedback and shape AI evolution

Master the current FDA guidance and industry standards governing AI applications in patient support programs

Implement ethical frameworks that protect patient data while enabling personalized patient experiences

Create governance structures that maintain human oversight while leveraging AI capabilities

Develop a vendor evaluation framework and master the RFP process for AI solutions, including must-have compliance requirements vs. nice-to-haves

Analyze case studies of AI implementations that significantly improved common paint points, such as prior authorization success rates and adherence metrics

Work in small groups to test AI solutions with scenarios from your own operations

Evaluate integration approaches that connect AI capabilities with existing hub service platforms and workflows

Define success metrics that go beyond efficiency gains to measure patient impact and quality outcomes

Build a business case framework that quantifies both hard savings (FTE reduction, faster processing) and soft benefits (patient satisfaction, staff retention)

Develop a phased implementation plan with clear milestones, success metrics, and resource requirements

Create your personalized 90-day action plan and leave with a stakeholder engagement strategy to secure buy-in from leadership, IT, compliance and frontline teams