AI or BPO? How Home Infusion Leaders Spot Real Automation vs BPO Disguised as AI
This session is designed for home infusion leaders navigating rising referral volumes, staffing constraints, and increasing payer complexity. Instead of focusing on hype, we’ll break down where AI is actually improving workflows like intake, benefits verification, and prior authorization – and where it simply shifts manual work behind the scenes.
Attendees will learn how to map workflows, evaluate ROI and implementation risk, and understand how automation can support scalable growth across clinical, operational, and administrative functions. Using real-world examples from home infusion organizations, this session will highlight how leaders are improving throughput, reducing friction, and building sustainable operating models without adding headcount.
This session is designed for home infusion leaders navigating rising referral volumes, staffing constraints, and increasing payer complexity. Instead of focusing on hype, we’ll break down where AI is actually improving workflows like intake, benefits verification, and prior authorization - and where it simply shifts manual work behind the scenes.
Attendees will learn how to map workflows, evaluate ROI and implementation risk, and understand how automation can support scalable growth across clinical, operational, and administrative functions. Using real-world examples from home infusion organizations, this session will highlight how leaders are improving throughput, reducing friction, and building sustainable operating models without adding headcount.
Learning Objectives
Identify operational workflows across the home infusion care continuum that may benefit from automation based on time, labor, and complexity.
Differentiate between scalable AI automation and labor-based outsourcing approaches by evaluating implementation risk, change management, and operational impact.
Apply practical success metrics – such as throughput, accuracy, and exception-based workflows – to evaluate whether automation initiatives are delivering measurable value.
Participants will be able to evaluate how automation initiatives impact the broader patient journey, including communication, coordination across teams, and reduction of operational friction.
Participants will be able to assess organizational readiness for AI adoption by considering change management, resource allocation, and cross-functional workflow dependencies.
