Congratulations to Attensi, winner of the Workforce Management category in Newsweek's inaugural AI Impact Health Awards.

But Profiler goes beyond easing the workforce. It hands clinicians the patient's story before the exam-room door opens, told in the language the patient thinks in.

The clinician opens the chart, and the history is already there.

It was written the night before, at home, in Spanish. The questions branched toward the specialty the patient was booked into. At the top sits one answer the intake flagged as urgent.

The clinician hasn't met this person yet and already knows the first question to ask.

What did the patient mean by that answer?

That is clinical documentation, completed before the visit begins, and it changes what the visit can accomplish.

The burden it lifts is well documented. When the American Medical Association examined why physicians sell their practices, its 2024 Physician Practice Benchmark Survey report pointed to burdensome regulatory and administrative requirements among the longstanding drivers. The real question is where in the day that burden should be lifted.

One popular answer is to listen inside the visit and hand the clinician a draft afterward. Physicians like it, with good reason. But the work begins only once the patient is in the room, and someone still has to correct what the software heard.

Profiler moves the work earlier. Before the visit, patients complete an eight-step core intake in English, Spanish or French. It branches into nine specialty paths, so a cosmetic consultation and a neurology referral ask different things. A server-side assistant helps patients through the questions, and answers are sorted into emergent, urgent and routine so staff see what matters first. Everything lands in the shared record for the clinician to review.

There's an outcome reason to prefer this. A patient describing their history in their own language, at their own pace, can check a medication name or ask a relative about family history. That's an inference, but a well-grounded one: details get lost in rushed translation.

There's also a quieter point here for anyone thinking about where lasting value sits. A transcript of a visit is used once. Structured intake keeps working. Mind or Revela opens the visit with it. If the visit leads to surgery, Continuum inherits the relevant risk information. When recovery begins, Companion picks it up. The allergy a patient mentioned at home is still in view on day nine after surgery. Every application that reads the intake makes it more valuable, and every new application added to the network finds it waiting.

The honest trade-off is that intake asks patients to do some work before they arrive, and it only works if that work is easy. That's why three languages and adaptive branching sit at the center of the design.

So when you evaluate workforce technology, follow the output. Where does it go after the visit ends, and who uses it next?