Operations

Healthcare organizations are moving fast on AI — but many are hitting a more fundamental obstacle: their data is not ready to support it. Fragmented records, interoperability gaps and unreliable pipelines mean AI results can be inconsistent, hard to trust…

Agentic AI is a board-level priority for most healthcare organizations, but whether you are still identifying where to start or trying to move a stalled pilot forward, the path to measurable results looks the same. This session introduces a practical…

As capital projects move from strategy to reality, delays, unclear costs and compliance complexity can slow progress and strain already limited resources. In this session, we’ll discuss managing growing capital demands with tighter budgets and oversight requirements. It offers a…

Health systems cannot afford fragmented specialty care or missed downstream opportunity. Three years ago, St. Luke’s University Health Network made a deliberate decision to invest in precision medicine as a core enterprise priority. Through its DNA Answers program, the health…

Boston Medical Center faced the same challenge many systems are grappling with: beds staying full longer than necessary because getting patients home safely took too long. BMC turned to AI to transform how teams identify patients ready for home and…

Manual, fragmented pre-admission testing strains perioperative teams and the operating room. Phone tag for histories, missing documents and late risk discovery all drive day-of-surgery delays, idle rooms and staff burnout. Leaders need a faster, more reliable way to prepare patients…

By 2026, healthcare leaders will be expected to do more than “keep up” with technology—they’ll be expected to orchestrate it. This executive-level panel brings together experts in interoperability, workforce management, and supply chain to explore how AI-driven, cloud-ready systems will…

Workforce shortages, rising acuity and financial strain are testing anesthesiology services across the country. But some systems are adapting — and thriving — by embracing care team models, data-driven scheduling, and change management strategies that work. In this webinar, anesthesia…

Health system leaders are moving from pilots to practical results with data and AI. As ecosystems mature and generative models evolve, the focus is shifting to trusted data foundations, responsible rollout and measurable outcomes. Yet many organizations still face fragmented…

As 2026 approaches, health systems are bracing for the ripple effects of the One Big Beautiful Bill Act (OBBBA), rising labor costs, and the accelerating pace of AI adoption. Leaders are being asked to improve efficiency, retain staff, and integrate…