Healthcare needs to address workforce management and rising costs. To resolve such issues, health systems will need to adopt big data approaches, according to Dr Chris Bates, Director of Research and Analytics at UK-based clinical software company TPP. During his presentation at HIMSS22 APAC, Dr Bates shared some of the latest applications of machine learning and data analytics.
TPP developed algorithms based on millions of patient EMRs to predict ovarian cancer tumours and to identify patients who are most at risk of developing cancer. On the operational side, TPP developed ML algorithms to optimize nurses’ work in rural communities. It increased nurse-patient contact time by 40% and raised nurse-patient satisfaction.
TPP worked on an analytics platform for COVID-19 research during the pandemic. It is an open-source platform that allows epidemiologists and public health analysts to run analytics on “tens of millions of records,” including primary and secondary care data, immunization records, and testing data. The researchers were able to conduct this safely at home due to tight security layers in the platform.