Steph Altavilla
Senior Director for Transition and Occupancy PlanningBoston Children’s HospitalThe Senior Director for Transition and Occupancy Planning at Boston Children’s Hospital, Steph Altavilla, collaborates with teams involved in the planning, design and construction of all clinical spaces. She ensures each project’s vision is realized—prioritizing safety, clinical needs, milestones, and goals. Notably, Steph has built a team of six team members that specialize in transition, activation and operations for new or newly renovated spaces. An alumna of University of Michigan, Steph launched her career at Boston Children’s Hospital as a cardiac nurse and completed her Master of Medical Informatics degree at Northwestern University.
E94 – AI: A New Partner in Healthcare Design — From Conceptual Design Through Occupancy
Artificial intelligence is rapidly moving from experimentation to practical application across the healthcare facility lifecycle—from early planning t…Artificial intelligence is rapidly moving from experimentation to practical application across the healthcare facility lifecycle—from early planning through transition and occupancy. This session explores how AI-enabled tools can optimize design deci…Artificial intelligence is rapidly moving from experimentation to practical application across the healthcare facility lifecycle—from early planning through transition and occupancy. This session explores how AI-enabled tools can optimize design decisions with clinical operations, improving outcomes while reducing risk. To examine how AI-enabled analytics can accelerate clinical programming, this presentation will explore examples that integrate …Artificial intelligence is rapidly moving from experimentation to practical application across the healthcare facility lifecycle—from early planning through transition and occupancy. This session explores how AI-enabled tools can optimize design decisions with clinical operations, improving outcomes while reducing risk. To examine how AI-enabled analytics can accelerate clinical programming, this presentation will explore examples that integrate operational data, staffing models, and throughput assumptions to inform space planning and adjacencies. Predictive modeling and AI-supported workflow analysis will demonstrate how patient, staff, and material flows can be evaluated early, helping teams identify inefficiencies and operational risks before they are embedded in design. The session will also address AI-supported code and regulatory compliance checking, quality control in design documentation, and the detection of inconsistencies that often lead to RFIs and change orders with downstream operational impacts. Finally, this session will investigate emerging applications of AI in transition and occupancy planning, including operational readiness, staff onboarding, and smoother handoffs from construction to day-one clinical operations. Attendees will gain insights into opportunities to integrate AI into healthcare design workflows today—not as a replacement for professional judgment, but as a powerful planning partner that enhances decision-making, reduces risk, and supports safer, more efficient healthcare delivery.Show MoreClick the title to see all detailsShow More
