Clinical AI for every step of the paperwork, from A to Z.
Suppa AtoZ is a set of assistive tools that plug into your electronic health record. The first release covers documentation, medication safety, coding and guidelines. Decision support and risk prediction follow after local validation.
Five tools that earn trust first.
Each tool works on its own and gets stronger with the others: a well-structured note gives better codes, safer prescriptions and faster summaries.
Documentation
Clinical Summarisation
Patient histories, encounter summaries and discharge summaries drafted from the record, ready for the clinician to check and sign.
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Documentation
Clinical Documentation Assistant
Structured notes from free text or dictation: SOAP notes, antenatal visits, procedure notes and referral letters.
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Medication
Prescription Safety
Checks interactions, allergies, duplicate therapy and contraindications against the patient's record.
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Coding
Clinical Coding
Suggests ICD-10 and ICD-11 codes from the clinical note, with the supporting text highlighted.
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Knowledge
Treatment Guideline Assistant
Retrieves the applicable national protocol or treatment guideline for the case in front of the clinician.
Learn more →Built in stages, validated at each one.
Advanced diagnostic and predictive tools come only after the foundation is in place and each model has been validated on Nigerian patient data.
Release 1
In developmentDocumentation, medication safety, coding and guidelines.
Release 2
NextExtends documentation, safety and hospital operations.
- AI Medical Scribe, with patient consent
- Referral Assistant
- Laboratory Interpretation
- Medication Dosing Assistant
- Patient instructions in Hausa, Yoruba, Igbo and Pidgin
- Claims and NHIA billing checks
- Clinical Quality Monitoring
Release 3
After validationDecision support and risk prediction, after local clinical validation.
- Clinical Decision Support and Differential Diagnosis
- Early Warning and Sepsis Risk Detection
- Maternal and Child Health Risk Assessment
- Antimicrobial Stewardship
- Chronic Disease Risk Prediction
- Validated imaging AI integration
- Automated DHIS2 programme reporting