Machine learning and artificial intelligence is commonplace in our everyday lives, going largely unnoticed. These methods are at the core of search engines, social media, our smart phone virtual assistants and across medical datasets and technologies.
In healthcare, specialist doctors are increasingly assisted by a wide range of machine learning based systems, such as imaging diagnostics where research is indicating the exceptional capacity for ‘learning’ to recognise subtle clinical characteristics and the outstanding accuracy of identification in new images, at levels of value to the most experienced clinicians.
These methods support analysis and pattern recognition with related powerful approaches for validating resulting predictive models that can be applied immediately to new data as they become available, providing rapid re-validation and ongoing refinement and ‘learning’.
In program and health economic evaluations, these methods are enabling similar ground-breaking identification and accuracy of predictive analytics, including across growing sources of large and linked government administrative datasets, and increasing supplementary sources of less structured data.
At Époque, we have been building on our core strengths in health economic methods and data management technologies and have established and continue to develop our machine learning platform, providing ground-breaking powerful techniques across our projects. These methods are delivering state-of-the-art predictive analytics supporting more accurate program targeting and earlier identification and intervention points, with potential to significantly contribute to better individual and program outcomes, increased program effectiveness, and related cost effectiveness.
We are continuing to develop our data science platform and integration with our health economic modelling and policy analysis projects. These techniques are as promising and significant to program evaluation, management and analysis as for wider applications of machine learning and artificial intelligence.
And we are excited about the new dimensions and potential this brings to our projects and our core mission.
To bring new insights, provide evidence and deliver increasing social value.