Medikal provides a cloud‑native machine‑learning platform that captures point‑of‑care clinical details, enriches them with locally sourced antimicrobial‑resistance data, and ranks antibiotic options with confidence scores and SHAP‑based explanations. The solution includes secure, end‑to‑end encrypted processing, multilingual support, and dashboards that give hospitals, laboratories, and health ministries real‑time visibility into prescribing trends and AMR hotspots. Access is offered via annual subscription licenses, with optional analytics modules for ministries and lab networks.
Funding
Funding not disclosed
Founders
Product
Problem
Clinicians in many African health facilities lack real‑time, data‑driven guidance for antibiotic selection, while antimicrobial‑resistance (AMR) data remain fragmented across labs and ministries. This gap leads to suboptimal prescribing, increased resistance, and limited surveillance capability.
Solution
Medikal delivers a cloud‑native, machine‑learning platform that ingests clinician‑entered case details at the point of care and enriches them with locally sourced AMR signals. The engine ranks antibiotic options, attaches confidence scores, and surfaces SHAP‑based explanations that clarify the contribution of each input feature. An integrated AMR check cross‑references up‑to‑date resistance maps, flagging high‑risk drugs and highlighting emerging hotspots. The system logs a decision summary for auditability and feeds susceptibility results from partner laboratories back into the resistance model, continuously improving predictions. Multilingual support (English, French, Kinyarwanda) ensures usability across diverse settings, while secure end‑to‑end encryption protects patient privacy. Health ministries and stewardship committees can access aggregated dashboards that visualize trends, outbreak alerts, and key performance indicators. The platform is delivered via subscription, with optional analytics modules for ministries and laboratory networks.
Target Audience
Primary users are hospitals, health‑system networks, and clinical laboratories seeking safer antibiotic prescribing, as well as national health ministries responsible for AMR surveillance and stewardship programs across Africa.
Features
- Structured, low‑friction intake UI for symptoms, vitals, and clinical context without requiring EHR integration.
- Secure pipeline with end‑to‑end encryption and de‑identified processing within Medikal’s isolated cloud environment.
- AI Review model that ranks antibiotics, provides confidence intervals, and links to supporting evidence.
- AMR Check module that ingests local resistance databases, generates hotspot alerts, and flags high‑resistance agents.
- SHAP‑backed explainability layer that visualizes feature impact for each recommendation.
- Lab Analytics connector that imports susceptibility test results and feeds them back into the resistance model.
- Health Intelligence dashboards offering real‑time trend analysis, outbreak detection, and stewardship KPI reporting.
- Multilingual AI support (English, French, Kinyarwanda) with extensibility for additional languages.