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Unlocking new possibilities
with AI-driven solutions
At GPI we are utilising machine-learning algorithms and AI-powered models for
price forecasting, as they learn from historical data, identify patterns, and offer
accurate predictions.
As AI evolves, so does GPI’s capability to deliver cutting-edge solutions that
address complex challenges and unlock new possibilities for you.
44% of respondents believe AI could be used to improve efficiency in generating insights and reducing research time
GPI Survey @ World Evidence Pricing and Access Congress 2024
Our goal is to empower organisations with accurate information to make informed decisions & drive
growth.
We harness advanced technology, machine learning and AI to provide you with:
- Intuitive tools that automate complex tasks, enable fast decision-making and streamline market access
- Value-based pricing methodologies and models to optimise payer reimbursement
- Intelligent solutions that drive business success
19% of respondents believe AI could be used to create opportunities
such as TPP optimisation
GPI Survey @ World Evidence Pricing and Access Congress 2024
GPI leverages AI to enable accurate and dynamic pricing strategies, analyse vast datasets and predict market trends, and enhance market access and value-based pricing decisions.
Recent Research
Can machine learning
accurately predict payer
behaviour?
This research paper, presented at #ISPOREU2023, explains the accuracy of our machine learning models. GPI machine learning forecast the price of an orphan product within 9%.
Access the Research
Case Study: Forecasting
Accuracy
Machine Learning greatly enhances value-based price forecasting accuracy. GPI research, using linear and polynomial models on a larger dataset, showed high accuracy in predicting burosumab, eliglustat, and blinatumomab prices in Germany.
Read the BlogWe’re committed to harnessing the potential
of AI responsibly and ethically
Currently, human oversight is required to tune AI to analyse healthcare datasets and produce reliable advice. As time progresses, the results of AI-analysed data will deliver increased accuracy for strategic and commercial decisions. The complexity and diversity of healthcare will ensure that human intelligence remains indispensable alongside AI.