Data Science & Analytics
Making sense of data when decisions depend on it
Data Science & Analytics
From basic data visualisation to predictive analysis using AI and machine learning HEOR can transform data into insights
We pioneer new methodological research, and routinely perform database analyses to inform health economic modelling
Our experience spans the globe; we have conducted analyses on databases from Europe, the US and Australia
While clinical interest invariably focuses on understanding the natural history of disease, payers and providers are required to realise any potential efficiencies of demand management
The same data can provide insight to multiple perspectives. Delivering database analyses that characterise disease progression and healthcare burden, while demonstrating the potential for optimising healthcare delivery, is both efficient and informative
Data Science
Data collection
- Database studies e.g. CPRD
- Observational studies
- Chart reviews
- Surveys
- SQL database
Statistical and data analysis
- Direct treatment comparison
- Indirect treatment comparison (NMA, MAIC, ML-NMR)
- Survival analysis
- Novel statistical methods
- Clinical trial data analysis
- Predictive analysis using AI and machine learning
Data visualisation
- R/Shiny application development
What our clients say...
“This is absolutely amazing!!! The HEOR team has put all the heavy artillery on this (health economics and statistical skills) and the methodology and results are scientifically sound! I am so delighted!”
“Your persistence and proactive problem-solving were key in navigating complex challenges and driving the project forward.”
“This was a great case example of thought partnership we would like to see from our partners: focusing on the problem and brainstorming and co-creating potential solutions.”