Foundational data science for US Medicaid research

Opportunity 

Administrative health datasets contain valuable insights that can improve healthcare delivery, support policy development and enable more personalised models of care. However, researchers often face barriers in accessing, managing and analysing large-scale health data.  

This project looked to address foundational questions regarding governance, hosting, auditing, data exploration, data cleaning, and modelling to unlock the research potential of US Medicaid datasets.  

Project Objectives  

The project aimed to establish a secure research environment that would support researchers in accessing and using the Health Management System (HMS) Medicaid data collection, and provide expertise in machine learning, text mining, and health analytics to generate new knowledge through advanced analysis of healthcare utilisation and outcomes.