Healthcare systems · Clinical AI · Autonomous ops
Nnamdi Okorafor
RN. Builder. The clinician who signs the system.
I harden AI-health products and infusion-scale operations so a credentialed nurse could put their name on them.
- Clinical nurse manager
- Ambulatory infusion
- Team
- 6 RNs
- Years
- 14 · ER, oncology, infusion
- Product
- Obioma · NCLEX Next Gen
Selected work
Obioma 2025–26
NCLEX Next Gen clinical-judgment platform. Six-step NCSBN reasoning.
Infusion floor current
Staffing, throughput, AKS/Stark, on a floor that runs every day.
Agent stack current
OpenClaw + Rosie_OS on a self-hosted VPS. Work that closes without me.
Diary of an Evolving Nurse ongoing
Burnout, leadership, and paths out of the bedside box.
How to work together
Advisory
Fractional. I sit on the clinical-safety and eval story until a nurse could sign it.
$200 / hourOperations
Capacity, staffing model, AKS/Stark, and a 90-day plan. I run an infusion floor; I will audit yours.
$5–15k / engagementWriting
On burnout as a staffing model
Resilience is cheap to buy. A position is not.
Would a clinician sign this?
AI doesn’t fail loudly. It fails confidently.
Closed-loop ops
An agent that finishes a task beats a dashboard that reports on it.
About
I am a clinical nurse manager and I build systems. Fourteen years across ER, oncology and ambulatory infusion taught me where care actually breaks. Now I find the binding constraint — staffing, capacity, documentation, a safety story that will not hold — and build the loop that closes it. I do the same work for AI-health teams, where the stakes are identical: a real clinician has to sign it.
Let’s see if it signs.