HEOR UK : Evidence-based healthcare analytics, real-world data insights, and market intelligence for Pharma, NHS, and HealthTech.

HEOR UK — Health Economics & Outcomes Research Insights
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AI-Powered Cost-Effectiveness & ICER Tool

Welcome! This is an AI-powered HEOR tool that calculates Cost-Effectiveness (CER) and ICER for healthcare treatments. It highlights non-dominated treatments and provides UK NICE guidance.

Instructions:

  1. Prepare a CSV or Excel file with these columns: Treatment, Cost per Patient, Outcome per Patient.
  2. Click the button below to open the AI tool in a new tab.
  3. Upload your file and review the calculated results.
  4. Download the report for your analysis.

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HEOR Support

I deliver literature reviews, evidence summaries, real-world outcomes analysis and treatment comparisons. I also develop value narratives and decision-focused insights to support HTA submissions, medical affairs needs and HEOR-driven strategy.

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Healthcare Data Analytics

I analyse NHS and real-world datasets to uncover meaningful insights, create dashboards and build forecasts. My analytics support patient-flow modelling, operational efficiency reviews and ICS-level understanding to guide data-led decisions.

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Strategic Consulting Support

I help clients structure complex problems, create clear insight reports and produce concise, stakeholder-ready summaries. My approach turns data and evidence into practical guidance and confident strategic decision-making.

Featured Insights (Portfolio Preview)

1️⃣ NHS Healthcare Trends 2025 — Insight Brief A concise analysis of NHS pressures, digital transformation efforts, workforce challenges, and integrated care system reforms shaping operational performance and service delivery across the United Kingdom.
2️⃣ Patient Flow Forecasting – Operational Case Study A structured Excel-based forecasting model demonstrating patient flow prediction, staffing requirements, scenario analysis, and operational planning improvements for healthcare and care environments facing fluctuating demand.
3️⃣ Big Data & Pharma Decision-Making — HEOR Insight Report An evidence-focused overview exploring how advanced analytics, real-world data, and HEOR methods transform pharmaceutical decision-making, clinical development, value demonstration, and strategic market positioning.
4️⃣ UK Oncology Market Landscape — Snapshot 2025 A clear summary of the UK oncology market, highlighting treatment classes, unmet clinical needs, therapeutic trends, competitive developments, and strategic opportunities across major cancer indications.

AI-Powered RWE Dashboard

Welcome! This is an AI-powered HEOR tool designed for UK healthcare analysis. It allows you to upload real-world data and visualize patient outcomes, treatment costs, and trends over time.

How to Use:

  1. Prepare a CSV or Excel file with these columns: Treatment, Year, Patient Count, Outcome, Cost per Patient.
  2. Click the button below to open the AI RWE Dashboard in a new tab.
  3. Upload your file in the app.
  4. View interactive charts and AI-style insights.
  5. Download results for reporting and analysis.

What You Will Get:

  • Interactive table showing your uploaded data.
  • Trend charts of patient counts over the years.
  • Cost vs Outcome scatter plots for visual comparison.
  • AI insights highlighting treatments below average outcome.
  • Quick identification of the most effective treatments.

Powered by HEOR.UK

About HEOR UK

HEOR UK was founded by Mesan Hamadieh, a healthcare analyst with a Business Analytics MSc and a Pharmacy BSc, combining clinical understanding with analytical expertise.

My work bridges healthcare knowledge and data-driven analysis to help organisations make informed, strategic decisions. With experience across NHS care, pharmaceutical processes, biomedical research, financial analysis, and digital market intelligence, I support teams that need clarity, insight, and evidence.

AI-Powered NICE Threshold Simulator

Welcome! This is an AI-powered HEOR tool that calculates ICER (Incremental Cost-Effectiveness Ratio) and determines which treatments are cost-effective at different NICE thresholds.

How to Use:

  1. Prepare a CSV or Excel file with columns: Treatment, Cost, QALY.
  2. Click the button below to open the AI tool in a new tab.
  3. Upload your file.
  4. Use the slider to set a NICE threshold (£ per QALY).
  5. View which treatments are cost-effective.
  6. Download the results for further analysis.

What It Does:

  • Calculates ICER for each treatment compared to your chosen comparator.
  • Highlights treatments that are cost-effective at your selected NICE threshold.
  • Shows a dynamic cost vs QALY scatter chart.
  • Provides a simple AI-style insight: how many treatments are cost-effective.

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