See the risk early. Understand why. Decide with confidence.
Decision support that predicts which patients need attention and shows why, with demand forecasts, executive dashboards and plain-language summaries.
Try the Clinical Intelligence and Analytics prototype
Clinical Intelligence and AnalyticsPatients needing attention
Why this prediction
Every prediction shows its reasons, so a clinician can check them.
Suggested for clinician review
Decision support informs clinical judgement and never replaces it. Models need local validation before clinical use. Sample data.
How to Procure Clinical Intelligence and Analytics
What you see above runs in your browser with sample data. It is not connected to patient data or production hosting, and it has no support agreement. To use it in your organisation, you would buy an implementation project with agreed scope, hosting, security controls, integration and support.
Why it matters, in published figures
of US non-federal acute care hospitals used predictive AI integrated with the EHR in 2024, up from 66% in 2023
Source: ASTP/ONC data brief, 2025of independent hospitals used predictive AI in 2024, against 86% of hospitals in multi-hospital systems
Source: ASTP/ONC data brief, 2025people worldwide were affected by sepsis in 2017, the condition early warning aims to catch sooner
Source: World Health OrganizationWhat it covers
- Clinical decision support
- Patient risk predictions
- Explainable risk factors
- Demand forecasting
- Executive dashboards
- Operational reporting
- Healthcare analytics
- Performance indicators
- Trend analysis
- Data visualisation
- Intelligent reporting
Who it is for
Executives, operations managers and clinical quality teams.
Related solution: Clinical Intelligence