Built for private hospitals, clinics, and diagnostic centers. Doctors get an AI assistant that flags medication conflicts and summarizes patient history in seconds. Patients get online booking and SMS reminders. The AI never replaces clinical judgment — it supports it.
* Private hospitals
* Clinics
* Diagnostic centers
The AI Medical Assistant answers three kinds of questions doctors ask constantly during a consultation: “What medications conflict?”, “Summarize this patient's history,” and “Suggest possible diagnoses based on symptoms.” Every suggestion is clearly labeled as support, not a final answer — clinical judgment stays with the doctor, always. The value isn’t replacing a doctor’s expertise; it's saving the 10-15 minutes a doctor might otherwise spend flipping through a patient’s paper file or scrolling a poorly organized digital record to find the same information.
Automate appointment reminders and lab result notifications with our AI automation services
Registration, medical history, insurance details, and digital records in one searchable profile per patient.
Online booking, SMS reminders, and queue management, so patients know their place in line without sitting in a crowded waiting room asking the front desk.
Flags medication conflicts, summarizes a patient's history on request, and suggests possible diagnoses based on entered symptoms — always positioned as decision support, never as a replacement for clinical judgment.
Covers consultation fees, laboratory charges, pharmacy charges, and insurance claims in a single billing flow instead of three disconnected systems that have to be reconciled manually.
Drug inventory, prescription management, and expiry alerts for the hospital's in-house pharmacy — the same expiry-prediction logic used in Datalex's standalone pharmacy system.
Test requests, results, and reports flow directly into the patient's record, so a doctor doesn't wait for a paper slip to come back from the lab.
Patient volume, revenue, disease trends, and doctor productivity, giving hospital administrators visibility into operational patterns that are invisible in a paper-based system.
Most hospital software in Nigeria digitizes the paper file — patient registration becomes a database entry, prescriptions become a digital printout. That solves storage and retrieval, but it doesn’t solve the actual time pressure doctors face: reviewing a returning patient’s full history before a 10-minute consultation, or catching a drug interaction a tired resident might miss at 2am. The AI assistant is built specifically for that gap — instant summarization and conflict-checking, so doctors spend their limited consultation time on the patient, not the paperwork.
We map your current patient flow, from registration to billing to discharge.
Existing patient records are imported, whether from paper files, Excel, or another EMR.
Front desk, nursing, pharmacy, lab, and doctors are trained separately on their specific modules.
Larger facilities get on-site go-live support; smaller clinics typically go live remotely within a week.
No. The AI suggests possible diagnoses based on symptoms entered as a starting point for the doctor's own clinical reasoning — it is decision support, not a diagnostic authority, and is never positioned to replace a doctor's judgment.
Yes. Insurance claims are tracked through the billing module alongside consultation, lab, and pharmacy charges.
Both. The system scales from a single-doctor clinic to a multi-department hospital, with modules activated based on what the facility actually needs.
Yes. Data is encrypted, access is role-based, and the system is built in line with the Nigeria Data Protection Act (NDPA).
Yes. Patient records, billing, and prescriptions are accessible offline at the point of care and sync once connection returns.
Book a free demo and watch the AI assistant summarize a sample patient history and flag a medication conflict in real time — so you see exactly what it adds to a consultation
