Artisight’s CEO on the Keyboard-Free Hospital Room
Ask any nurse how many times they document the same piece of information in a single shift, and the answer is rarely “once.” A patient’s preferred pharmacy gets typed into an intake form, repeated to a front desk associate, then re-entered by a clinician who never saw the original form. Multiply that across every unit, every shift, every health system in the country, and it becomes clear that documentation burden, not staffing alone, is quietly driving a lot of healthcare’s burnout problem, and wearing on the patient experience along with it.
That tension sits at the center of a recent conversation between Artisight CEO and co-founder Dr. Andrew Gostine and DGTL Voices podcast host Ed Marks. The two covered a lot of ground: Gostine’s path from medical school to founding a smart hospital company, what “ambient intelligence” actually looks like in practice, and why he believes the keyboard and mouse have no place in a modern hospital room.
Here are the highlights and what they mean for health system leaders evaluating where to invest next.
A Physician Who Kept Asking “Why Not?”
Gostine’s path to founding Artisight wasn’t a straight line, and that’s part of the point. He went to medical school at Georgetown, took a detour into business school, and started his residency at Northwestern in Chicago. Along the way, he ran a consulting practice validating new hardware and software for health systems, spent time in venture capital, and finished a fellowship at Stanford.
What stayed constant was a question that had bothered him since business school: why wasn’t healthcare using the technology that other industries had already adopted? Other sectors had spent years applying automation and prediction to solve operational problems. Healthcare, by comparison, was still relying on pagers, clipboards, and manual documentation for information other industries had automated a decade earlier. When COVID hit, the workforce strain that had always existed became impossible to ignore, and the timing accelerated Artisight from an idea into a company.
That combination, a founder who has practiced medicine and understands clinical workflow firsthand alongside a technical team built around computer vision and prediction, is a big part of why Artisight’s product decisions tend to start from a clinical problem rather than a technology capability in search of a use case.
Ambient Intelligence: Taking the Keyboard Out of the Equation
Gostine is direct about the goal: he hopes that before he dies, there’s at least one hospital without a keyboard and a mouse. It’s a pointed way of making a simple point. If a room already has the sensors to know what’s happening in it, a clinician shouldn’t have to stop and manually type that information into a chart a second or third time.
That’s the premise behind ambient documentation, which Artisight is building in partnership with Microsoft. Rather than clinicians documenting an encounter after the fact, Artisight supplies the context of who is in the room and what’s being said, so documentation reflects the encounter automatically instead of competing with it for a nurse’s time.
From Fewer Falls to Lower Turnover: What This Looks Like in Practice
The same ambient approach extends beyond documentation into monitoring. Artisight’s computer vision has been trained to recognize more than 200 distinct events in a patient room or operating room, from fall risk to whether a postpartum patient’s sequential compression devices are on, so attention goes to the patients who need it most instead of being spread evenly and thinly across every room.
The results show up directly in the metrics health systems care about. WellSpan Health saw a 52% reduction in patient falls after deploying this kind of computer vision-based monitoring. The Guthrie Clinic saw a 48% reduction in nurse turnover and a 56.5% reduction in travel staffing costs, a direct answer to what nurse turnover actually costs a health system in lost staff time and travel-nursing spend. Neither of those numbers comes from replacing nursing judgment. As Gostine puts it, the goal was never to build a digital nurse or a digital doctor, but to remove the specific, repetitive tasks, like medication reconciliation, that pull time away from patient care and the judgment calls that actually require a clinician.
Why the Details of How It’s Built Matter
Artisight puts a full NVIDIA GPU into every All-in-One device, so analysis happens inside the patient room instead of being streamed to an outside server, which matters for both data governance and clinician trust. And rather than a fully hardware-agnostic, choose-your-own-configuration rollout, Artisight has moved toward a more prescriptive implementation model, closer to how Epic deployments work. In Gostine’s experience, giving hospitals unlimited configuration choice slows adoption and produces worse outcomes than a defined, structured path.
Watch the Full Conversation
This recap only scratches the surface of a wide-ranging conversation that also covers Gostine’s leadership philosophy, why communication matters more than raw intelligence when scaling a distributed team, and his broader, long-term take on where smart hospital technology and the patient experience are headed over the next few years.
Watch the full interview in the video above or on YouTube.
If your health system is evaluating where ambient intelligence fits into your virtual nursing, patient care, patient safety, or documentation strategy, we’d welcome the chance to talk through what that could look like for your hospital. Schedule a conversation with our team to get started.
