A physician thinking through a patient's results

Clinical Intelligence

Clinical and operational data turned into a view that leaders and care teams can use.

Proposed solution, shaped for each organisation
The business problem

The business problem

Hospitals hold a great deal of data, yet leaders still wait weeks for reports, and different departments quote different numbers for the same measure.

Our approach

Our approach

Agreed definitions, a governed data model and dashboards built with the people who will act on them.

Why it matters, in published figures

71%

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, 2025
37%

of independent hospitals used predictive AI in 2024, against 86% of hospitals in multi-hospital systems

Source: ASTP/ONC data brief, 2025
49 million

people worldwide were affected by sepsis in 2017, the condition early warning aims to catch sooner

Source: World Health Organization
Predictive AI in US hospitals, 2024
Share of hospitals, by type
All71%
In a system86%
Independent37%
Source: ASTP/ONC data brief, 2025

Key capabilities

  • Measure definitions
  • Data quality review
  • Executive dashboards
  • Operational reporting
  • Trend analysis
  • Plain-language summaries

How it runs, step by step

How it fits together
UsersCliniciansNursesAdministratorsPatients
AnalyticsCore applicationRole-based workspacesReporting
IntegrationInterfacesData servicesMonitoring
Connected systemsLaboratoryRadiologyPharmacyFinance

The real design follows from your environment.

The value we aim for
  • One trusted version of key measures
  • Earlier sight of emerging issues
  • Less time spent preparing reports

Try it: Clinical Intelligence and Analytics

Decision support that predicts which patients need attention and shows why, with demand forecasts, executive dashboards and plain-language summaries. Use it for yourself, or

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Estimate it for your organisation

Time spent on assembling reports and reviewing dashboards by hand. Set your own numbers and your estimate updates instantly.

4,140
hours returned each year
2.4 full-time roles of capacity

Based on 230 working days and 1,720 hours a year. An estimate from your inputs, not a guaranteed result.

Review this with our team

How we would engage

Understand business and clinical requirements.

We spend time with the people who do the work, as well as those who sponsor it. The output is a shared statement of what must change and why.

What you receive

  • Shared problem statement
  • Success measures agreed
  • Stakeholder map

Who is involved

Sponsors, clinical and business leads

Stage 1 of 7

Discuss Clinical Intelligence With Us.

Share a little about your organisation and what you hope to change, and we will arrange a conversation.

Please do not include patient information.