Before you compare features, ask what problem goes away entirely — because that’s the question that determines everything else.
It’s 2am. A patient three days into a new chemo regimen has a fever that won’t break. There’s no support, no clinician who already knows this patient’s regimen and history. So the ED becomes the default, not because it’s the right level of care, but because it’s the only one that’s open. Multiply that scenario by every patient, every symptom, every night, and you start to see the actual size of the problem oncology programs are trying to solve with AI.
Most AI vendor conversations skip straight to the demo. The Community Oncology Alliance‘s own AI Playbook argues the opposite: define the problem before you engage a vendor at all. That’s the right instinct, and it’s a question every health system and community practice should be able to ask before signing anything: not “what does this tool do,” but “what problem actually disappears if we adopt it.”
Whoever you are evaluating, two things should go away. If a vendor cannot speak to both, you are looking at a feature, not a solution.
- The clinical risk disappears
- The operational and financial drag disappears
The clinical risk that disappears
For patients in active treatment, the gap between visits is where the risk lives — a missed symptom, a call that goes unanswered, a fever that escalates because no one caught it in time. Reimagine Care’s model closes that gap directly: Remi resolves 54% of patient interactions with no human interaction at all, and when a symptom does need a clinician, the average time to connect to Reimagine Care’s Virtual Care Center is 9 minutes. Fewer than 4% of encounters ever require escalation to the system’s medical oncologist. That shows up downstream as a 68.6% reduction in avoidable ED visits overall (77.1% for Medicare patients, 59.2% for high-risk patients) and a 45.7% reduction in short-stay hospitalizations. The risk that was living in the after-hours gap doesn’t get managed better. It disappears.
The operational and financial drag that disappears
The second thing that goes away is quieter but just as costly: the staffing burden and unreimbursed effort that comes from trying to hold this gap closed with people alone. Health system partners using Reimagine Care have seen a 33% reduction in clinical inbox messages — time back for nurses and providers who were absorbing that volume manually supporting top-of-license practice. Documentation that supports reimbursement, care management billing, and quality standards happens as a byproduct of the model, not an extra task bolted on top. Practices don’t need to hire specialized staff to operationalize between-visit monitoring; the infrastructure already does it.
That’s the test worth applying to any AI vendor, not just Reimagine Care: not what does the tool do, but what stops happening once it’s in place. If you want to see what that looks like against your own patient population, we’re glad to walk through it.