For doctors and clinicians
Documentation has slowly eaten the conversation that medicine is supposed to be.
ACOS is built around what every clinician we've worked with has said the same way: 'Give me my time back.' It's an AI scribe, a decision-support layer, a complete patient history at first glance — and a chart that mostly writes itself while you do the thing only you can do.
The arithmetic of a clinic day
Most doctors we sit with describe the same fifteen-minute consultation: a third of it on documentation, a third on actual clinical reasoning, a third on the patient. ACOS is a deliberate attempt to redistribute that triangle.
Today
With ACOS
AI scribe + auto-coding
What you do with the time
Listen better. Examine more carefully. Catch the thing that wasn't on the form.
What you actually get
Patient history, surfaced before you ask
When a patient's chart opens, ACOS surfaces what matters: previous diagnoses, ongoing medications, allergies, recent lab results, overdue screenings, and the questions their last visit ended with. You start informed, not searching.
An AI scribe that listens with you
With consent, ACOS records the consultation and writes the clinical note as you speak. SOAP format, your hospital's templates, edited as you review. By the time the patient leaves, the note is mostly written. You add the nuances that matter; the system handled the rest.
Decision support, not decision replacement
Drug interactions surface before they harm. Allergy conflicts flag in red. Dosing relevant to the patient's renal function appears alongside the prescription. The clinical decisions stay yours; the safety net is automatic.
Orders that flow downstream automatically
When you order a CBC, the lab knows. When you prescribe metformin, pharmacy reserves the stock. When you book a follow-up, it lands on your calendar. No paper slips. No phone calls. No 'did you actually order that?'
A chart that closes itself
At the end of the encounter, ACOS verifies that the note is complete, the diagnoses are coded, and the orders are billed. Nothing gets stuck waiting for the doctor's last twelve seconds. The hospital's revenue cycle thanks you. Your evening thanks you more.
The honest part
There's a class of clinical-AI marketing that makes promises medicine can't keep. We're trying to avoid it. Here's what ACOS isn't.
It does not replace clinical judgement.
The AI suggests, surfaces, and flags. It never overrides. Every decision — every prescription, every diagnosis, every plan — is yours. We've watched too many AI products blur the line; we won't.
It does not catch every interaction or every mistake.
Decision support is a safety net, not a guarantee. Clinical knowledge bases have gaps; AI models hallucinate; rare interactions hide. ACOS is a strong second pair of eyes — not a substitute for the first pair.
It works as well as the data you give it.
If the previous chart was incomplete, the history is incomplete. ACOS makes the data you have more useful; it does not invent the data you don't.
It will get things wrong, and you'll need to correct them.
The scribe will mishear words; the coder will pick the wrong ICD-10 code occasionally; the timeline will sometimes order events oddly. Reviewing and editing is part of the workflow, not an exception to it.
Built with clinicians at our partner hospital
Every workflow in ACOS has been refined inside a real clinic with real clinicians, real patients, real Tuesday afternoons. The shortcut buttons exist because someone wanted them; the warnings exist because someone needed them; the layout exists because the layout we tried first didn't survive contact with reality.
Pull-quote, from one of our clinicians
“The first time I opened a chart and saw the history surface before I'd asked for it, I understood why we'd been agreeing to this pilot. The system was doing the part of my job that I'm slowest at, so I could spend the time on the part that matters.”
— Medical Director, our partner hospital in Accra
The ask
A 30-minute demo built around how you actually see patients. We'll open a few charts together, run an AI-scribed consultation, and answer the questions every clinician asks: 'But what if it gets X wrong?'