The patient is ready for discharge. The system finds out later than it should.

Healthcare providers, and the technology platforms that serve them, have invested heavily in electronic health records, data warehouses and integration layers. That investment has not translated into faster decisions at the point of care. The constraint is no longer access to information. It is the ability to act on it, whether you run a provider directly or you build the software providers run on.

Healthtech analytics

What makes Panintelligence different

Explore your own data and build your own view without raising a ticket with a BI team or waiting on an analyst.

Panintelligence queries your data where it already lives. Nothing is duplicated into a separate proprietary warehouse.

Human in the loop by design, running on a bring your own LLM model, with every output interrogatable rather than black boxed.

Ships under your brand, not ours, whether that is an internal dashboard or a product your own customers log into.

A 14 day proof of concept on your own data, then a structured go live, not a quarter long project.

Transparent pricing

Published pricing bands you can see now, not a number that only appears after a contract signature.

The infrastructure is in place. The decision still waits on the data catching up.

Healthcare providers have implemented electronic health records, expanded data warehouses, introduced integration layers and built analytics capabilities. On paper, the foundations for data driven care are in place. And yet, when a decision needs to be made, the system still slows down. 

A clinician reviewing a patient pathway often moves between multiple systems, piecing together information that should already be connected. An operational lead managing patient flow often relies on a combination of system data, manual trackers and direct communication with wards. This is not because the data does not exist. It is because it does not exist in a form that supports action at the moment it is needed. 

Healthtech data

Built for the people actually making this decision

Chief Operating Officer 

Patient flow and discharge decisions depend on information scattered across wards, services and external providers. 

Self service, governed visibility into discharge barriers and capacity, surfaced to the team that can act on it. 

Head of Product

What is keeping them up at night

Customers using your platform want governed reporting built in, and it keeps losing to roadmap priorities that ship revenue faster. 

White label, embedded dashboards that ship as part of the product, not a separate engineering project. 

Medical Director or Clinical Lead 

What is keeping them up at night

Reviewing a patient pathway often means moving between multiple systems to piece together information that should already be connected. 

A governed, consistent view of the pathway, available at the point a clinical decision is made. 

Director of Finance 

What is keeping them up at night

Regulatory and board reporting relies on reconciling data from multiple sources under time pressure. 

Automated, auditable reporting built on the same governed layer as day to day operations. 

A 14-day no-cost Proof of Concept connects to your actual data environment.

  • The first dashboard is live on day one.
  • No sample data.
  • No hypotheticals.
  • Real validation before you commit.

What changes with a single governed layer

Panintelligence sits across your existing electronic health record, patient administration and workforce systems and builds one governed semantic layer on top, delivered inside clinical and operational workflow rather than as a separate reporting tool. 

PiDashboard is self service, so an operational lead or a clinical team can build and explore their own view without submitting a request to an analyst or a central BI team. 

PiReport automates the recurring regulatory and board reporting that currently takes real time to assemble under pressure.

PiPredict brings explainable, human in the loop AI to patient flow and capacity signals, running on a bring your own LLM model so patient data never leaves your environment. 

Healthtech governed layer
Healthtech systems

Built to sit inside the systems you already run

  • Electronic health record, patient administration and diagnostic systems 
  • Data warehouses already in place: Snowflake, Databricks, BigQuery, Postgres and SQL Server
  • Single sign on and role based access control that inherits from your existing identity and permissions setup
  • White label embedding into your own clinical or workforce facing platform, with no separate login and no third party branding visible

Built for the standard patient data is actually held to

Data sovereignty 

Zero data movement. Panintelligence queries your data in place, in your own infrastructure or in PiSaaS. Nothing is duplicated into a separate warehouse. 

Explainable AI 

Predicts runs on a bring your own LLM model, inside your own governance boundary. Every output is interrogatable, not a black box. 

Auditability 

Every figure in every dashboard and report traces back to source through the same governed semantic layer, with a full permissions and access audit trail. 

Purpose-Built for Regulated Healthcare

What took us an hour to produce is now done almost instantly.”

Lucy Mathie
I.T. & Business Systems Support, Essential Healthcare

Essential Healthcare adopted Panintelligence’s intuitive business intelligence dashboards to surface insights for internal reporting faster and more efficiently.

Patient data protection 

Patient data is special category data. Governance, permissions and full audit trails are built into the platform rather than bolted on. 

What this looks like in practice

If you are running this inside your organisation

Patient flow and discharge

Challenge
Discharge readiness depends on information fragmented across wards, services and external providers.

How Panintelligence helps
Patients approaching discharge are identified earlier, with barriers linked to transport, social care or internal coordination surfaced in context.

Outcome
Discharge decisions are brought forward, releasing capacity sooner and reducing downstream pressure on admissions.

Elective recovery and waiting list management

Challenge
Waiting list information is often reconciled retrospectively, so prioritisation becomes reactive.

How Panintelligence helps
High risk and long wait patients are identified earlier, with capacity aligned dynamically to demand across specialties. 

Outcome
Pathways are actively managed rather than periodically reviewed, supporting more effective recovery planning.

Workforce and operational planning

Challenge
Workforce decisions are often made using delayed or incomplete information about demand and pressure.

How Panintelligence helps
Staffing levels are informed by current and emerging pressure points, rather than a static schedule.

Outcome
Planning shifts from reactive response to dynamic, responsive allocation.

If you are embedding this in your product

Embedded analytics for healthcare platforms

Challenge
Healthcare SaaS platforms often hold critical operational and clinical data, but insight is delivered separately through reports or external tools.

How Panintelligence helps
White label, embedded dashboards ship as part of your platform, on the same governed data foundation as your internal reporting.

Outcome
The platform becomes a decision support tool, strengthening differentiation and supporting retention and growth.

What this is worth, in numbers you can check

Lever Evidence How it is calculated
Scale of the underlying system Magentus supports around 80 percent of NHS Trusts and hospitals in the UK and Ireland through its radiology and maternity information systemsNamed vendor scale, presented as context for the size of the opportunity, not a Panintelligence specific outcome. 
Time to value Typical deployments go live in weeks, not the months a broader BI platform rollout usually takes. Time from contract to first live, governed dashboard on your own data. 
Capacity and flow context Over 21 million hospital care episodes were recorded in England in 2025, supported by over 1.3 million NHS staff. Sector scale benchmark, presented as context for the coordination challenge, not a guaranteed outcome. 
Commercial differentiation Embedded analytics becomes part of the product for healthcare technology platforms, not a support cost. Customer adoption of embedded reporting, and its role in retention and sales conversations. 

Questions worth asking before you buy anything

Why Panintelligence is different

Most analytics vendors are built for enterprises with large BI teams and long implementation timelines. Panintelligence is built for organisations that need analytics to work quickly, transparently, and without the overhead, whichever way they choose to deploy it.