Healthcare
Meridian Care
Meridian Care$54M+Capital unlocked
390%Engagement lift
24xProgram ROI
77Integrations
Halden Adaptive Care Network
A private clinical intelligence layer that predicts patient needs and integrates with the diagnostic tools staff already use.
$38M
Capital unlocked
Series B funding raised on the strength of the new platform.
520%
Engagement lift
Growth in digital engagement through personalised wellness guidance.
27x
Program ROI
Return on investment from optimised administrative workflows.
61
Integrations
Research hospitals and technology partners connected to the network.
The platform changed how our clinicians meet patient data. It is not a tool bolted on the side, it is a shift in how the whole network works.
Priya Anand Head of Innovation, Halden Health
Halden came to us with a records platform older than most of its nurses and a board asking for AI. We spent the first three weeks on the ward floor rather than in the codebase: shadowing shifts, counting the screens a clinician touched per admission, and listing where a decision waited on a person re-keying data. The roadmap that came out of it was deliberately dull: fix visibility first, then automate only the steps a clinician could explain back to us.
We trained a risk model on Halden's own longitudinal records to flag early deterioration signals across a diverse patient base. The engine sits inside Halden's network and reads the same feeds the charting system does, so a flagged case reaches the ward in seconds rather than at the next morning's review. Dense clinical data is rendered as short, ranked prompts, and every prompt links back to the observations that produced it. Before go-live the model was replayed against two years of closed cases and signed off by the clinical governance group.
Governance was designed in, not bolted on. Patient data stays inside Halden's tenancy, access is role-scoped down to the field, and the training set is versioned like any other release. The network now handles several million patient interactions a year through the platform. Each recommendation carries its evidence, a confidence score and a reviewer trail, so any clinician can challenge it and any auditor can replay it.
Predictive modelling forecast patient needs before escalation, which kept the strategy grounded in measurable outcomes.
Connectors into the existing charting tools meant staff kept the screens they already knew.
High-fidelity interface components simplified complex diagnostic dashboards.
Ethical data processing ensured full compliance and user transparency.
This project set a new bar for the network. Clinicians adopted the platform in weeks because it behaved like a colleague: familiar screens, plain-language prompts and a visible reason behind every major action.
The deployment now runs across three regions and absorbs new sites without re-engineering. Halden keeps its lead in the sector because the intelligence layer earns its place on every shift rather than in a press release. What we took away: the model was the smallest part of the work. The service design, the sign-off process and an interface that respects a tired clinician's attention decided whether it got used.
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