With over 65 years combined experience, we have a long track record of delivering timely solutions for our clients.
Data is one of the most powerful assets in modern healthcare. When used correctly, it enables organisations to move beyond assumptions and make defensible decisions grounded in evidence. High-quality data can reveal inefficiencies, predict clinical and financial performance, identify unwarranted variation, and focus attention on best practice across patient pathways.
Yet in most health systems, data remains fragmented — locked away in long spreadsheets, siloed databases, or static dashboards that few clinicians or managers can truly interrogate. The most valuable intelligence needed for policy, coding, and reimbursement decisions rarely emerges from simple linear datasets or single-source reporting.
Traditional analytics and “off-the-shelf” dashboard tools often fall short. They are generic, slow to adapt, reliant on proprietary frameworks, and typically function only as display tools. They show what has happened, but they cannot meaningfully explain why it happened or what should happen next. For innovation, commissioning, and reimbursement, this is not enough.
At Odelle Technology, we build bespoke mathematical and statistical models designed specifically for healthcare realities:
Predictive models that forecast clinical outcomes, utilisation, and budget impact.
Economic models that support HTA, pricing, DRG uplift, LPPR/RIHN submissions, and payer negotiations.
Behavioural and operational models that reveal patterns in workflow, prescribing, adoption, and variation.
Multi-source evidence engines that integrate EHR data, claims, PROMs, RWE, and sensor or diagnostic output.
Unlike static dashboards, our models are dynamic decision tools. They adapt to changes in policy, tariffs, care pathways, and reimbursement rules across the UK, France, Germany, Spain, the Nordics, and the wider EU. They can answer tactical questions, test scenarios, and guide real-time strategy for MedTech, diagnostics, pharma, and digital health technologies.
Most importantly, these models shift organisations from retrospective reporting to forward-looking intelligence — the kind required to shape reimbursement outcomes, support regulatory engagement, and demonstrate value to clinicians, payers, and health systems.
To get the most value from healthcare data — and to ensure your organisation is acting, reacting, and planning correctly — you need intelligence, not just information. That means analytics support that understands your therapeutic areas, the realities of payer decision-making, the structure of reimbursement systems, and the specific evidence requirements that determine whether a technology is adopted, funded, or ignored.
Odelle Technology brings this capability through more than 25 years of experience building bespoke, data-driven mathematical and statistical models for Biotech, Pharma, MedTech, Diagnostics, and Digital Health. We specialise in transforming fragmented datasets — EHR extracts, claims data, diagnostic outputs, PROMs, microbiology records, RWE streams, cost centres, and operational metrics — into actionable, multi-dimensional intelligence that directly supports commercial, clinical, and reimbursement outcomes.
Our modelling frameworks go far beyond traditional dashboards. They are designed to:
Reveal patterns in clinical behaviour, utilisation, outcomes, and cost drivers
Predict patient flow, resource needs, and economic impact
Generate robust evidence for HTA submissions (NICE, HAS, IQWiG/G-BA, ZIN, INAMI, AOTMiT)
Support DRG/HRG optimisation, tariff uplift, and coding alignment
Quantify payer value through cost-effectiveness, budget impact, and scenario modelling
Demonstrate system-level benefits for reimbursement negotiations
Provide real-time, adaptive insight across EU5 and UK reimbursement frameworks
For companies aiming to secure reimbursement, these models are indispensable. They convert static data into living, decision-ready intelligence that shows:
Why your technology reduces cost or improves outcomes
How it fits within national payment systems
Where clinical variation creates opportunity
Which regions or hospitals are most primed for adoption
How to generate the right real-world evidence to satisfy payers
This is the foundation of modern market access: turning healthcare data into reimbursement advantage.
At Odelle Technology, we begin by listening — to your goals, your constraints, and your desired outcomes. Every organisation, therapy area, and evidence challenge is unique, so our first task is to understand what makes your situation distinct. We then structure and integrate the data you already have, enriched where appropriate with supplementary clinical, operational, or reimbursement datasets, to produce models that genuinely reflect your real-world environment.
Drawing on advanced statistical methods, mathematical modelling, and decades of real-world healthcare experience, we create dynamic analytical tools that deliver far more than a static one-off model. Our work uncovers features, patterns, and predictive signals you may not have known were possible — the scientific foundations that drive accurate forecasting, stronger payer arguments, and smarter commercial decisions.
Our bespoke models support:
Clinical and financial forecasting across pathways, episodes, and resource use
Market access and reimbursement optimisation, including DRG/HRG alignment, tariff modelling, and HTA-ready evidence
Segmentation and targeting, ensuring the right message reaches the right clinician, hospital, or payer
Budget impact and scenario modelling for launches, submissions, or regional rollouts
Accurate, structured databases that support traceability, audit, and repeatable intelligence
Operational insights, enabling teams to do more with less through data-driven efficiency
Every tool is developed in Microsoft Excel and Visual Basic — a deliberate choice. These environments require no subscriptions, no IT involvement, and no complex software dependencies. They allow rapid development, transparent calculations, easy updates, and seamless integration with the types of datasets used in healthcare, diagnostics, MedTech, and pharma.
Our models do not just calculate; they communicate. We enhance them with interactive, intuitive, user-friendly interfaces that encourage repeated use and give you real-time access to high-value insights. This ensures stakeholders at every level — clinical, operational, commercial, and executive — can explore scenarios, test assumptions, and understand the impact of decisions instantly.
Because our team is small, specialised, and deeply experienced, we can build comprehensive, scientifically robust tools in as little as four weeks. Where larger consultancies create delays, we deliver quickly, precisely, and cost-effectively — providing the ideal value-for-money solution for urgent analytical needs, HTA deadlines, or short-term strategic questions.
It is no surprise that over 80% of our clients return to us. They come back because our models don’t simply display data — they transform it into predictive, strategic, reimbursement-relevant intelligence that drives better decisions across the UK, France, Germany, Spain, the Nordics, and the wider EU.
To find out more and discuss your project, please contact us.