CauseACTION — Work as Done WELL

The Problem

Healthcare systems are drowning
in data they cannot use.

The NHS generates more information than almost any other system on earth — records, device logs, checklists, team messages, maintenance reports. Each fragment captures part of how care is actually delivered. But they are siloed, disconnected, and designed for transactions rather than understanding. The result is harm, waste, and burnout that nobody intended and nobody can easily see.

37%

Of theatre cancellations are avoidable

A national NHS study across 78 Trusts found that over a third of day-of-surgery cancellations were potentially preventable — caused by poor drug management, untreated comorbidities, or incomplete workup. The information to prevent them exists. It is just never surfaced in time to act.

CauseACTION will surface upstream causes before the day of surgery arrives

20–30%

Blood transfused outside evidence-based thresholds

SHOT data consistently shows a significant proportion of NHS transfusions fall outside clinical guidelines — yet only a fraction of events reach formal reporting. The variation that matters most goes unexamined.

CauseACTION will connect transfusion data to outcomes, making invisible variation visible

10+

Tasks from one broken device

Test. Replace. Datix. Supplier call. MHRA review. Team debrief. Safety report. MDT discussion. Each step done in isolation, recorded separately, learned by nobody.

CauseACTION will trigger and coordinate all downstream tasks automatically from a single event

~1 in 10

At-risk patients passing through undetected

Sickle cell trait does not appear on a standard FBC. In cardiac surgery, an unidentified patient may receive cold cardioplegia and standard bypass — the precise conditions that promote sickling. Results from previous testing often exist somewhere in clinical records, but never reach the team planning the case.

CauseACTION will flag at-risk patients automatically and ensure correct clinical pathway and HRG coding

6/8

MDT colleagues on their day off

A high-risk patient. An unplanned emergency call. Six of eight MDT colleagues on their day off — because no system had assembled the clinical picture in time for a planned response. This is what a missed flag looks like in practice: a crisis that should have been a routine pathway.

CauseACTION will ensure the right people have the right information before the day of surgery

The Why

Built from the inside
of a burning building.

The NHS does not have an information problem. It has a connection problem. Cardiac theatres generate data that could prevent the next patient's kidney injury. Pre-assessment clinics produce letters containing the haematology result that should have changed the bypass plan. Rota systems hold the staffing picture that would show a unit approaching unsafe coverage before anyone is harmed. The information exists. However, it frequently doesn't reach the person who needs it, at the moment they need it.

"Healthcare often feels like a conveyor belt where we never make the same thing twice. Staff are mixed like lottery balls; no one quite knows who made what or how — and the building is on fire."

That observation came from two decades at the clinical frontline — watching colleagues make heroic adaptations to broken systems, with no mechanism to capture what they learned or feed it back into anything. When John encountered human factors and Safety-II thinking in 2018, it named what he had been watching: the problem was never motivation or individual failure. It was system design. And the gap between how care is planned and how it is actually delivered is not an exception. It is the norm.

The ambition was to close that gap through reflection, conversation, and improvement cycles. But every attempt ran into the same wall: capturing work as done required extra effort from already stretched people. When it happened at all, it generated actions that nobody had time to follow through.

The method was right. The infrastructure was missing. CauseACTION is that infrastructure.

The Team

Clinical scientists.
Systems thinkers.

CauseACTION is built by NHS clinicians who have already used data to identify a hidden national patient safety crisis — and driven systemic change as a result. The methodology is not theoretical. It has already worked at national scale.

Built on a track record of finding what others could not see

CauseACTION was not conceived in a design studio. It grew out of real analytical work — a national investigation into cardiac surgery staffing safety that required emailing 50 clinical leads individually, chasing responses, manually analysing data, and producing a picture that degraded the moment it was captured. The investigation uncovered a significant national compliance gap. The evidence it produced has been used by the College of Clinical Perfusion Scientists to drive enforcement of national standards. The lesson it taught was that the methodology worked — and that doing it manually at scale was neither sustainable nor safe. CauseACTION is that methodology, made continuous and automatic.

John O'Neill

Founder · CauseACTION

Chief Perfusionist at Barts Heart Centre and founder of CauseACTION. John has spent two decades working in cardiac surgery at the clinical frontline, developing expertise in human factors, systems thinking, and Safety-II methodology. His work spans clinical practice, national quality improvement, and device innovation. He has presented on safety and innovation topics at the national conference six times, and has served on the College of Clinical Perfusion Scientists since 2017, currently as Secretary. He brings deep clinical insight, frontline experience, and a clear vision for what a genuinely connected NHS could become.

NHS Clinical Entrepreneur · Cohort 10

James Tyrrell

Co-Developer · Universal QMS Architecture

Chief Clinical Perfusionist at Aberdeen Royal Infirmary and one of the UK's leading voices in perfusion quality management. James holds an MBA with specialist focus in interorganisational performance and perfusion data management systems. He has worked across multiple NHS Trusts, private organisations, and two global industry leaders, presenting at international congresses. His contribution to CauseACTION is the universal QMS architecture — the living standard operating procedure framework that makes the platform a genuine quality assurance system, not simply a data tool.

NHS Clinical Entrepreneur · Cohort 10

Proof of Concept

Already done.
Manually. Once.

Both cases below are real and finished. They answer the question every commissioner will ask: what does this actually do? One shows CauseACTION working vertically — making a single complex decision vastly more intelligent and transferable. One shows it working horizontally — turning a fragmented national process into something continuous and automatic.

Use Case 1 · Vertical Intelligence

Heart-Lung Machine procurement — clinical risk, quality evidence, and financial case synthesised together

Replacing a Heart-Lung Machine is one of the most consequential procurement decisions a cardiac department makes. The right decision is rarely the cheapest device — but proving that requires simultaneous command of three data domains that are never held in the same place: clinical risk evidence (what are the safety implications of current versus candidate equipment?), clinical outcome data (what does published evidence show about device performance in comparable populations?), and displacement economics (which ancillary devices does the new HLM render redundant, and what is the net revenue saving against the capital premium over 5–7 years?).

These rationales are not always aligned. A device with superior clinical safety evidence may carry a higher capital cost. A device with lower complication rates may justify its premium through AKI avoidance alone. The financial argument cannot be constructed without the clinical evidence — and the clinical evidence means nothing to a CFO without the financial model. This synthesis is what makes the decision hard and what makes it so consistently done badly, defaulting to incumbent inertia or capital cost alone.

This analysis was built from scratch over two years by a single expert. It was successful — but most departments do not have the time, the data access, or the headspace to replicate it. CauseACTION systematises it: structured clinical input, automatic financial modelling using Trust-specific data, standardised CFO-ready output. Every completed case feeds the national knowledge base. The next department does not start from a blank page.

Use Case 2 · Horizontal Automation

National staffing safety survey — a proof of concept for continuous national quality oversight

The N+1 standard requires a second perfusionist available for out-of-hours cardiac emergencies. Compliance varies significantly across NHS units, and non-compliance is a structural patient safety risk. Understanding the national picture required individually emailing approximately 50 perfusion managers, chasing non-responders manually, aggregating responses, and producing an analysis — weeks of senior clinician time for a snapshot that was already degrading by the time it was published.

This is not an isolated problem. Dame Penny Dash's 2025 review of NHS safety found that monitoring recommendations are consistently not acted upon — not through indifference, but because the process of continuous monitoring is simply too hard with the tools available. The survey illustrates exactly this: the methodology was sound, the findings were important, and it cannot be repeated often enough to track deterioration in time to intervene.

CauseACTION makes this continuous. Structured digital capture replaces ad hoc emails. Direct rota system integration replaces manual submission entirely. Real-time N+1 compliance monitoring flags units approaching non-compliance before a gap becomes a risk. This is the proof of concept for a universal QMS with national oversight — the infrastructure that makes the Penny Dash recommendations actionable rather than aspirational.

"Data and analytics should be playing a far more significant role in supporting the quality of health and social care."

"We collect more data on quality of care than any other country. Let's use it, let's get it out there."

Dr Penny Dash — Review of patient safety across the health and care landscape, DHSC, July 2025

Together, these cases are the proof. What a senior clinician currently spends months doing manually — CauseACTION makes available to every department in the NHS simultaneously, at negligible marginal cost.

The Platform

One architecture.
Every level of the system.

CauseACTION works within the tools NHS staff already use — no new login, no behaviour change, no survey fatigue. It connects clinical, operational, safety, and financial data into a single intelligent system that learns from work as it actually happens, not as it was planned.

The architecture is built on the SEIPS 3.0 framework — the established systems engineering model for patient safety — combined with Safety-II methodology and network theory. This is not a dashboard bolted onto existing systems. It is a structured model of how healthcare work is actually organised, where variation originates, and what it costs — deployed within Microsoft Teams, Power Apps, and Azure, using infrastructure NHS Trusts already operate.

Each Trust retains full ownership and control of its own data. CauseACTION maintains a central intelligence layer — the ontology, causal models, protocol logic, and benchmarking standards — that is deployed locally within each Trust's own environment. The Trust owns the data. CauseACTION owns the logic that makes it meaningful. This federated design aligns with NHS information governance requirements and the architecture of the NHS Federated Data Platform.

At its core is a living quality management system — built on James Tyrrell's universal QMS architecture — that captures real-time deviations from protocol, surfaces the cost of variation, and creates a continuous feedback loop between frontline staff and organisational learning. The system is designed for people at every level. It aims to amplify the weak signals that help staff understand each other better, and faster.

The same architecture scales from a single clinical pathway to a whole Trust, from a Trust to national oversight — connecting cause to action at every level, without adding to the burden of the people already keeping the system alive.

See the whole pathway

Rather than isolated data points, CauseACTION assembles the full picture of a patient's journey — giving clinical teams the context to act on what they see, not just react to individual alerts.

Capture work as it actually happens

Staff contribute to quality intelligence through the conversations and tools they already use. The system learns from every adaptation, every near-miss, and every workaround — without adding a single extra form.

A quality system that improves itself

Standards and protocols are living documents — updated by evidence from real practice rather than periodic review cycles. What works is amplified. What fails is surfaced before it causes harm.

Model what good looks like

A digital twin of the ideal service — a simulation of the optimal pathway — lets teams understand the gap between current and optimal performance and model the clinical and financial impact of closing it before committing to change.

See across the supply chain

Real-time visibility of stock, usage patterns, and supply fragility at both local and national level. Aggregated data informs the optimal response to supply chain breakdown — enabling mutual aid, early warning, and procurement aligned to actual clinical demand.

Compare across sites and nationally

Benchmarking that goes beyond headline metrics — revealing whether variation between services reflects genuine clinical difference or unwarranted divergence from safe, effective care.

A complexity data layer
for the NHS.

From a single number to the full picture —
the difference between knowing and understanding.

In cardiac surgery, we once relied on a single timed test to assess whether a patient's blood was protected against clotting on bypass. It gave us a number. It told us almost nothing about why — about the dynamic interplay of clotting factors, platelet function, fibrinolysis, and drug effect that determines whether a patient bleeds or thromboses. A more sophisticated test changed that entirely: instead of one value, it gives a time-resolved picture of the whole clotting process — its speed, its strength, its breakdown. The difference is not just more data. It is a fundamentally richer understanding that enables earlier, more targeted, and more effective intervention.

The old model

A single value at a single moment

One number. No context. No trend. No interaction between variables. An answer without understanding.

The CauseACTION model

A dynamic, multi-component picture over time

Multiple signals. Interactions tracked. Trends identified. A complexity score that reflects the real state of a pathway — not a simplified proxy of it.

CauseACTION applies this same principle to clinical pathways, workforce, safety, and quality — replacing single-metric dashboards with a dynamic, multi-dimensional understanding of system health. The stress fractures in a service appear long before the system breaks — if you know how to look.

The oxygen delivery example below shows this principle applied directly in the cardiac theatre.

THE PRINCIPLE APPLIED

Oxygen delivery and kidney injury risk — better modelling for quality assurance

Oxygen delivery index (DO2i) during cardiopulmonary bypass is increasingly reported by modern heart-lung machines — already an advance on single-value measures. But a low DO2i reading tells you something is wrong. It does not tell you what to do about it, because the causes are multiple, concurrent, and interacting — and they look different at different points in the operation:

Pre-operative anaemia

A haemoglobin of 82g/l against a bypass flow index of 2.4 l/min/m² places a patient near the lower DO2i threshold before surgery has even begun — a deficit that compounds every subsequent challenge.

Heart displacement and venous return

When surgeons displace the heart to reach posterior vessels, venous return falls — dropping pump flow and DO2i. This is routine, predictable, and durationally quantifiable, but its cumulative effect on an already borderline patient is rarely visible in real time.

Fluid dilution and practice variation

Different perfusionists respond differently to blood loss: some add crystalloid solution to maintain volume; others accept lower flows. Each approach affects haemoglobin concentration differently — and therefore the oxygen delivery index differently. This variation exists but is currently invisible across teams and centres.

Sequential outcomes

Low haemoglobin triggers a transfusion decision. Crystalloid solution added for volume dilutes haemoglobin further, worsening oxygen delivery. Reduced oxygen delivery drives further transfusion need. Each step is a consequence of the last — a chain that is hard to see as a chain when each decision is made in isolation.

What CauseACTION adds: time, relationship, and relative contribution

Oxygen delivery to tissues during bypass is continuously measurable — and CauseACTION correlates it continuously with haemoglobin concentration, bypass flow index, venous pressure trends, fluid balance, and surgical stage, tracked over time rather than at a single moment. This makes the causal chain visible: a near-threshold haemoglobin at bypass initiation, a 12-minute heart displacement reducing venous return by 35%, a 300ml crystalloid bolus that drops haemoglobin by 6g/l and takes the patient below the oxygen delivery threshold for the first time. Each event quantified in duration and severity. The relative contribution of each factor to suboptimal oxygen delivery surfaced as a sequential picture rather than a single alarm.

This level of visibility changes what quality improvement can actually address. Is the problem poor pre-operative anaemia pathways — patients arriving on bypass already borderline? Is it venous cannulae selection or surgical positioning technique? Is it variation in fluid management practice between perfusionists? All of these are long-known but poorly understood contributors to acute kidney injury. CauseACTION makes the multifactorial causes visible and attributable — which is what turns improvement from a general aspiration into a specific, addressable target.

22%

AKI incidence

of cardiac surgery patients — ~5,700 cases per year across NHS England, Wales and Northern Ireland

57%

Fall below threshold

of patients experience oxygen delivery below the critical perfusion threshold during bypass — a modifiable intraoperative event

2.74×

Higher AKI odds

in patients who fall below that threshold — peer-reviewed, detectable in real time from existing perfusion data (Baker et al., 2017)

~£14m

National saving modelled

if below-threshold oxygen delivery were eliminated — ~2,350 fewer AKI cases at conservative cardiac ICU bed day costs

Model basis

26,000cardiac surgery cases/year — NICOR NACSA, England, Wales and Northern Ireland 22%AKI incidence (conservative, weighted for procedure mix) — Pickering et al., 2015; 91-study meta-analysis 57%of patients fall below DO2i AUC threshold — Baker et al., 2017, Perfusion OR 2.74for AKI in below-threshold patients (CI 1.01–7.41, p=0.047) — Baker et al., 2017 ~2,350fewer AKI cases modelled if below-threshold oxygen delivery eliminated nationally 4 daysconservative additional cardiac ICU/HDU stay per AKI case — literature range 3–7 days £1,500/daylower bound UK critical care bed day cost — NHS published reference data

Modelled estimate based on published incidence, peer-reviewed odds ratios, NHS bed day costs, and NICOR volumes. CauseACTION does not invent new signals. It connects the ones that already exist — and surfaces the causes behind them over time.

One quality metric. One modifiable factor. A single example — and a modelled £14 million in preventable harm.

Now consider what becomes possible when this method is applied to the interactions between the thousands of modifiable factors across every NHS pathway — pre-operative optimisation, intraoperative decision-making, post-operative escalation, medicines management, workforce deployment, supply chain resilience. Each factor individually measurable. Each interaction between them currently invisible. The scale of preventable harm, waste, and variation that sits in those interactions is not a rounding error. It is the defining challenge of healthcare quality in this generation. CauseACTION is built to make it visible — and therefore addressable.

Pilot Pathways

Real problems.
Real settings. Real evidence.

CauseACTION has defined its first clinical pilot pathways, with site selection and governance scoping underway across NHS centres in London and Scotland. Each targets a different level of the system, deliberately chosen to show that the same approach works at every scale.

Local · Cardiac

Cardiac Pathway Quality Assurance

Most theatre cancellations have upstream causes — but the inverse is equally important: patients who are not optimised but proceed to surgery anyway, carrying preventable risk. This pilot maps the whole pre-operative pathway to understand both failures — the cancellation and the inappropriate go-ahead — as two symptoms of the same underlying gap between how care is planned and how it is delivered.

Trust · Safety

Morbidity Intelligence and NLP Flagging

Applying language processing to pre-operative documentation to automatically surface high-risk conditions — sickle cell disease, coagulopathies, complex drug interactions — that current systems identify late or miss entirely. Earlier flagging triggers the right pathway, the right specialists, and the right planning — before the patient reaches theatre.

Trust · Operations

Supply Chain Intelligence

Connecting stock data, usage patterns, and supplier status across services — locally and nationally. Aggregated data reveals patterns of fragility that no single centre can see alone, enabling mutual aid between sites, proactive procurement, and an optimal system-wide response when supply chains break down.

National · Safety

Transfusion Safety at National Scale

Only a tiny fraction of transfusion safety incidents reach formal reporting nationally. This pilot applies the CauseACTION architecture to blood transfusion — connecting procedural data, clinical outcomes, and near-miss signals to surface the vast majority of variation that currently goes unexamined, creating the conditions for genuine national learning rather than tip-of-iceberg oversight.

◉ Interactive pathway demo ▶ Equipment response simulation

The Financial Case

Poor quality is not just
a safety problem.

The NHS cannot afford avoidable harm — financially or morally. The cost of getting it wrong is already embedded across every Trust budget, every litigation settlement, and every cancelled theatre list. CauseACTION is not an additional cost. It is the architecture that makes the existing cost of poor quality visible — and therefore reducible.

CauseACTION's commercial model is structured around demonstrated value, not software licensing. The system is deployed within each Trust's existing Microsoft infrastructure — no new platforms, no additional IT procurement. The commercial relationship is built on what the system helps the Trust achieve, making the business case straightforward for any finance director prepared to look at where quality costs are already being absorbed.

£4.6bn

Annual cost of harm

NHS Resolution estimates the annual cost of harm covered by the Clinical Negligence Scheme for Trusts at £4.6 billion — and that is only what is claimed. The National Audit Office estimates only 4% of people who experience harm ever make a claim. Source ↗

£400m

Lost in cancelled theatre time

The cost of cancelled surgery in lost operating theatre time alone reaches £400 million per year across the NHS. The majority of avoidable cancellations have upstream causes that a connected pathway system could identify in advance. Source ↗

£2.5bn

Extra care costs from preventable harm

Preventable adverse events generate £1–2.5 billion in additional NHS care costs annually — longer stays, repeat procedures, complications that compound. These costs are largely invisible within standard reporting. Source ↗

£100m

Saved when targeted intervention works

The NHS Patient Safety Strategy has demonstrated that targeted, systematic safety improvement saves £100 million annually alongside 1,000 lives. CauseACTION is the infrastructure that makes that kind of improvement scalable and routine — not exceptional. Source ↗

The Invisible Revenue Problem

Clinical coding: where work as done becomes money as lost

£100k–£900k

modelled range per cardiac service per year

Clinical coding translates what happens to a patient into the tariff that funds the care. In cardiac surgery, it depends almost entirely on documentation reaching the coding team — discharge summaries, operative notes, EPR entries. What it rarely receives is the operational reality: what the perfusionist recorded, what drugs were given intraoperatively, which devices were deployed, what complications unfolded in theatre and how they were managed.

The result is systematic under-coding of case complexity — and systematic under-reimbursement. Not through any failure of effort, but because the data that would support a higher HRG band exists in a different system, in a different format, seen by people who are not part of the coding workflow. CauseACTION's work-as-done capture closes this gap directly: operative data flows into structured output that the coding team can actually use.

IABP insertion

Codes to a significantly higher HRG tariff — routinely missed when inserted urgently in theatre with no structured capture pathway.

Haemofiltration

Intraoperative haemofiltration is a complexity marker with coding implications that depends on perfusion records reaching the right hands.

Re-exploration

Return to theatre for bleeding is a separately codeable procedure that adds significant tariff weight — and is a direct quality signal in its own right.

Inotrope requirements

Prolonged high-dose inotropic support signals case complexity and ICU resource use — captured in drug charts but rarely integrated into coding.

Prolonged bypass

Extended cardiopulmonary bypass duration is a procedural complexity indicator with direct implications for risk-adjusted benchmarking and tariff.

Blood product use

Significant transfusion episodes affect complexity scoring and cost attribution — volumes exist in perfusion and transfusion records, not in discharge summaries.

The quality double dividend

Better coding does not only recover income. It produces a more accurate picture of true case complexity — which feeds into risk-adjusted outcome statistics, GIRFT benchmarking, staffing arguments, and quality improvement evidence. A trust that appears to have average outcomes may simply have under-coded complexity. CauseACTION makes the real case mix visible — so that performance is measured against what actually happened, not against what was documented.

How the figure is modelled — and what the national evidence shows

MechanismMissed intraoperative procedures reduce the HRG Complication and Comorbidity (CC) score — potentially dropping a case from HRG tier A to tier B or C Per-case impactTier difference worth £1,500–£5,000 per complex cardiac case (HRG4+ Design Concepts, National Casemix Office; Odelle Technology, 2025) National baselineNHS England audits routinely identify 5–15% HRG misclassification across all acute episodes (Odelle Technology, 2025; Audit Commission national programme — average 9.4%, range 0.3–52% across trusts) Complex surgical casesRates are substantially higher in procedure-intensive specialties — one peer-reviewed audit found HRG codes changed in 58.5% of cases when reviewed by clinicians experienced in coding (Imperial College Healthcare NHS Trust, BMC Health Services Research, 2024) Cardiac surgery riskThe specific risk is incomplete capture of intraoperative procedures documented in perfusion and anaesthetic systems — data that exists but does not reach the coding team. This is a structural gap, not a coder error Lower bound~450 cases/year (smaller centre) × 15% national upper misclassification rate × £1,500 minimum uplift = ~£100k/year Upper bound~1,200 cases/year (high-volume centre) × 30% applied to complex surgical cases × £2,500 average uplift = ~£900k/year Conservative mid£150k–£300k per cardiac service — requires local one-month coding audit to validate the applicable rate at a given site

Sources: Odelle Technology analysis of HRG4+ tariff structure (2025); Audit Commission national clinical coding audit programme (average HRG error 9.4%, all acute trusts); Iqbal et al., BMC Health Services Research (2024) — HRG changes in 58.5% of cases on clinician review, Imperial College Healthcare NHS Trust; HRG4+ Design Concepts, National Casemix Office (NHS Digital); OPCS-4 v11.2 (NHS Digital, 2024). Conservative mid-range estimate — local coding audit required for site-specific validation.

The data to fix the NHS
already exists.
We connect it.

Healthcare systems are drowning
in data they cannot use.

Built from the inside
of a burning building.

Clinical scientists.
Systems thinkers.

Built on a track record of finding what others could not see

Already done.
Manually. Once.

Heart-Lung Machine procurement — clinical risk, quality evidence, and financial case synthesised together

National staffing safety survey — a proof of concept for continuous national quality oversight

One architecture.
Every level of the system.

A complexity data layer
for the NHS.

From a single number to the full picture —
the difference between knowing and understanding.

A single value at a single moment

A dynamic, multi-component picture over time

Oxygen delivery and kidney injury risk — better modelling for quality assurance

Real problems.
Real settings. Real evidence.

From cardiac surgery
to every NHS pathway.

Poor quality is not just
a safety problem.

If you work in the NHS,
you already know this problem.

The data to fix the NHS already exists. We connect it.

Healthcare systems are drowningin data they cannot use.

Built from the insideof a burning building.

Clinical scientists.Systems thinkers.

Built on a track record of finding what others could not see

Already done.Manually. Once.

Heart-Lung Machine procurement — clinical risk, quality evidence, and financial case synthesised together

National staffing safety survey — a proof of concept for continuous national quality oversight

One architecture.Every level of the system.

A complexity data layerfor the NHS.

From a single number to the full picture —the difference between knowing and understanding.

A single value at a single moment

A dynamic, multi-component picture over time

Oxygen delivery and kidney injury risk — better modelling for quality assurance

Real problems.Real settings. Real evidence.

From cardiac surgeryto every NHS pathway.

Poor quality is not justa safety problem.

If you work in the NHS, you already know this problem.

The data to fix the NHS
already exists.
We connect it.

Healthcare systems are drowning
in data they cannot use.

Built from the inside
of a burning building.

Clinical scientists.
Systems thinkers.

Already done.
Manually. Once.

One architecture.
Every level of the system.

A complexity data layer
for the NHS.

From a single number to the full picture —
the difference between knowing and understanding.

Real problems.
Real settings. Real evidence.

From cardiac surgery
to every NHS pathway.

Poor quality is not just
a safety problem.

If you work in the NHS,
you already know this problem.