EvidenceCare is an AI-enabled clinical performance improvement company. We’ve been inside clinical workflow since 2016, across 30+ health systems and every major EHR, and that history is what our use of AI gets built on.
Inside the solutions themselves (AdmissionCare, CareGauge, and CareInsights), AI capability is in motion: being built, tested, and reviewed. This page covers both how we think about AI as a company and where it stands inside solutions today.
AI questions are coming up in conversations with the health systems we work with. The market has shifted too: a clinical decision support system without a clear stance on AI increasingly looks behind rather than cautious. Here’s where we stand with AI utilization today.
There’s a difference between how we operate as a company and what’s shipped in any one solution today. As a company, we’re built around AI now, holding it to the same evidence standard as anything else we use and create. Inside our solutions themselves, AI capability is under active development, testing, and review.
Whatever AI capability reaches a workflow, one thing will never change: the physician treating the patient makes the decision. As AI moves into our solutions, its job is to surface the right information faster, inside the workflow a physician is already in. We integrate AI with intention. A capability that can’t earn its place will not proceed.
You don’t need another system to manage. You need sharper information at the moment you’re deciding, inside the chart you’re already in. That’s the direction our AI work is moving: faster access to relevant evidence, without adding a click or something else to check later.
Rote work should go. Judgment shouldn’t. As AI moves into what your team uses, it’s built to be governed, evidence backed, and accountable enough that you’d stand behind it in a peer review. That’s the bar we’re building.
We’ve worked inside more than 30 health systems since 2016. That’s the track record our use of AI is being built against. It earns a place where it protects margin and performance, and stays out everywhere else.
Stay tuned on this page, our blog, and The BetterCare Podcast for updates on how we’re applying AI at EvidenceCare.
EvidenceCare is an AI-enabled company, and that shows up in how our teams work every day. In our solutions directly, AI capability is actively being built, tested, and put through review. We’ll share updates here and in other applicable documentation as that work clears.
No. The physician makes every clinical decision. As AI moves into EvidenceCare’s solutions, its role is to surface information faster, inside the workflow already in use, so that decision is easier to make well.
As AI moves into our solutions, we’ll apply it where it makes a decision faster, cleaner, or more defensible for the physician making it. Where it doesn’t do that, we leave it out.
No. Our experience inside clinical workflow goes back to 2016, across 30+ health systems and every major EHR. AI is a newer layer we are building into that existing foundation.
Clinical decision support systems are expected to have a clear point of view on AI today, and staying quiet doesn’t serve the health systems we work with.
Have other questions? Contact us.
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