The EquiAccess Indexer
A private, offline health tracker and triage indexer for communities without easy access to a clinic, built first for rural sub-Saharan Africa and South America.
Dr. Rita Orji grew up a two-hour walk from her nearest clinic. Her story is why the Indexer exists: to bring the first steps of care closer to home.
Tracks health over time
Monitors health information across multiple visits in a private, encrypted local record.
Pathways, helped by AI
Follows clinical pathways such as OLDCARTS. A fine-tuned Llama 3.2, trained on real patient and doctor conversations, helps phrase the questions. It never makes the decisions.
Private, local & inclusive
Fully offline. Works regardless of literacy level or dialect, with speech in and speech out.
How a visit flows
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1
Verification and Vitals
Every visit starts with a user verification, both by date of birth and pin/keyphrase. Then, basic vitals are taken.
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2
Symptoms
These questions are fixed and never change. They are supposed to gage energy level, overall mental state, and overall physical state.
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3
Guided Questioning
From information gathered in the previous steps, a clincal pathway is chosen. This continues until enough patient information is collected for next steps.
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4
Flags
Answers are checked against fixed danger-sign rules. Our AI never decides these, although it can help reveal flags.
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5
EquiAccess Index
A transparent priority score for clinician review. This is based off of flags and is mostly deterministic.
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6
Report
A PDF goes to the clinician, and the visit joins the patient's encrypted history.
deterministic engine AI assists phrasing only
What the AI learned from
One rule shapes every choice: no synthetic data, ever. The model learns to phrase questions only from real clinical conversations between real people, used under licenses that permit it.
MTS-Dialog
Real doctor and patient clinical dialogues.
3,500+ real doctor questionsPriMock57
57 primary-care consultations recorded with real clinicians.
1,900+ real doctor questionsWhat to ask, and which signs are dangerous, is written by people from public-domain MedlinePlus references, never trained into the model. The AI never diagnoses, never decides urgency, and every question it writes must clear a guardrail before a patient sees it.
A live demo is on the way
We are finishing the deterministic engine that drives every visit. Once it is solid, an interactive walkthrough will live here so you can see exactly how a check-in flows, start to finish.
