Every major healthcare transformation has been shaped by a single question: Does the system help clinicians do their work better? Today, as hospitals face unprecedented pressures, from emergency department overloads to large-scale nursing resignations, that question has taken on new urgency. The constraints are structural, the stakes are high, and the need for responsible, interoperable solutions has moved to the foreground.
However, the pathway to responsible AI in healthcare is not simply about innovation; it is about fit. Any solution must support the real conditions under which nurses and clinical teams operate: sequential workflows, continuous documentation, rapid information retrieval, and the ability to coordinate across departments without delay. This is the context in which agentic AI is being evaluated.
The inaugural ThinkAI, Andor Health’s user group and thought leadership meeting, in Orlando, brought together leaders from organizations including Sentara Health, Deaconess Health, and Ballad to assess how these requirements align with emerging technologies. Their discussions centered on ThinkAndor, the interoperable agentic AI platform built by Andor Health to address multiple operational and clinical pain points at once: virtual nursing, documentation support, EMR insight extraction, and administrative reporting.
The platform’s value lies not in replacing bedside care, but in strengthening the infrastructure surrounding it. By absorbing administrative burden, ThinkAndor allows clinical time to be reallocated to patient needs, something especially critical as nursing shortages deepen. The practical outcomes shared by Sentara Health underscored this point: the system reported more than 11,119 hours of digital nursing support delivered to patients and over 7,000 hours returned to its nurses within five months of deployment across its 12 hospitals.
Yet the technology’s future will hinge on more than early results. Vizient’s Dr. Barbara Seymour outlined the standards that must guide adoption: the technology must align with nursing practices, reflect the sequencing of real workflows, process clinical data efficiently, and remain cost-viable for large-scale use. These criteria are shaping a market environment increasingly oriented toward interoperable, system-wide solutions rather than isolated applications.
As the industry continues to confront its operational breaking points, ThinkAndor represents a broader shift toward AI that is integrative rather than disruptive, supportive rather than substitutive. The platform reflects a pragmatic vision of responsible AI, recognizing that the most powerful technological interventions are those that protect, rather than interrupt, the core work of patient care.
