Augment clinical judgement with evidence-based, real-time AI insights — reducing diagnostic errors, accelerating treatment decisions, and improving patient safety across your NHS trust.
MediPulse Clinical AI works alongside your clinical team — not instead of them. Our system analyses patient data in real time, surfacing evidence-based recommendations that align with NICE guidelines and NHS clinical standards.
Six clinically validated modules — deployable individually or as an integrated suite — each designed to address a specific point of clinical risk.
Real-time, patient-specific recommendations at the point of care. Our system analyses over 200 clinical variables simultaneously to surface the most relevant evidence-based guidance, ranked by urgency and clinical certainty.
Automatically classify patients by risk level — from deterioration risk to sepsis, AKI, and VTE. Early identification of high-risk patients enables proactive intervention before clinical deterioration occurs.
Voice-enabled AI documentation that converts clinical conversations into structured, coded patient records in real time — reducing admin burden by up to 60% and improving coding accuracy for financial reporting.
Comprehensive, real-time pharmacovigilance integrated directly into prescribing workflows. Our AI flags interactions, allergy conflicts, and dosing errors before prescriptions are authorised, with severity-based escalation.
Every recommendation is transparently linked to its clinical evidence source — NICE guidelines, peer-reviewed literature, and NHS trust protocols — so clinicians can review and challenge any AI-generated suggestion.
Continuous monitoring of vital signs and clinical parameters with intelligent alerting. Configurable escalation pathways ensure the right clinical team member is notified at exactly the right moment.
A straightforward four-step process that turns existing NHS patient data into actionable clinical intelligence without disrupting established workflows.
Securely connects to your EPR, pathology, radiology, pharmacy, and vital signs systems via HL7 FHIR-compliant APIs — aggregating data in real time.
Our multi-modal AI models process structured and unstructured data — including clinical notes — to generate a comprehensive patient risk profile updated every 60 seconds.
Insights are presented in plain language, ranked by priority, and embedded directly within your existing clinical interface — no new screens or additional logins required.
Clinician feedback is captured continuously to improve model performance over time. Your trust's own clinical outcomes shape and refine the AI specifically for your patient population.
Independent clinical audits across 47 NHS trusts confirm consistent, significant improvements in patient safety and clinical efficiency within 90 days of deployment.
Outcomes measured across NHS deployments from January 2024 to January 2026, independently audited by the King's Fund.
Every module of MediPulse Clinical AI is designed from the ground up to meet the regulatory requirements expected of NHS clinical software.
Fully assessed against the NHS Digital Technology Assessment Criteria (DTAC), covering clinical safety, technical security, usability, interoperability, and economic impact standards.
Verified 2026Certified as a Class IIa medical device under UK MDR 2002 (amended). Independently assessed for safety, effectiveness, and quality management by a UKCA-approved notified body.
Class IIaRegistered with the Medicines and Healthcare products Regulatory Agency (MHRA) as a software-based medical device, with full post-market surveillance in place across all NHS deployments.
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