Chief Product & Strategy Officer. Srini Surendranath Heads An Healthcare X AI Thought Leader Panel During Day 1 of Think AI
Across clinical systems nationwide, every conversation about the future of care eventually converges on the same obstacle: capacity. Not the metaphoric kind, but the literal constraints imposed by crowded emergency departments, constrained nurse availability, and the administrative undertow that continues to siphon hours away from bedside care. The modern hospital now operates under conditions once considered exceptional, 92% overload in some emergency departments, and has been forced to confront the limits of what manual workflows alone can accomplish.
In that environment, the industry’s initial wave of digital tools, many of them siloed or department-bound, has struggled to deliver real relief. Systems that cannot communicate across units only replicate fragmentation in a new format. The need is no longer for more tools, but for integration, and for technologies capable of working in parallel with clinical teams rather than simply creating additional interfaces to manage.
It is this backdrop that defined the tone at the inaugural ThinkAI gathering in Orlando, where leaders from Sentara Health, Deaconess Health, Ballad Health, and others convened to examine how interoperable agentic AI could serve as a stabilizing force in a strained ecosystem. Central to that discussion was ThinkAndor®, Andor Health’s agentic AI software infrastructure
designed to support multiple clinical and operational functions simultaneously from virtual nursing to real-time documentation, EMR insight extraction, and administrative reporting.
Rather than attempting to automate bedside care, ThinkAndor® was presented as a platform that expands it, creating capacity by absorbing the work that traditionally erodes clinical bandwidth. Users are experiencing that impact. Sentara Health’s CIO, Tim Skeen, outlined how the organization’s transition “from zero virtual care to full digitization” has returned thousands of hours back to nurses across its 12 hospitals since deploying the platform. In five months, the system delivered more than 11,119 hours of digital nursing support and restored over 7,000 hours directly to staff capacity.
At the same event, Vizient’s Dr. Barbara Seymour underscored the criteria that will determine whether AI can move from early promise to mainstream adoption: precise alignment with nursing requirements, strong workflow-sequence integration, reliable data processing, and clear cost efficiency. Her assessment signaled a broader market truth, sustainable change will only come from platforms capable of working across departments, not within isolated pockets.
In a moment when the industry is seeking structural, not cosmetic, solutions, interoperable AI is emerging not as an enhancement but as an operational necessity. Andor Health’s ThinkAndor® stands at the center of that shift, not as a replacement for clinical judgment, but as a system engineered to return time, clarity, and coordination to the places where patient care actually happens.
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