Under the two-year partnership, Cerner Enviza and John Snow Labs will develop a new method to improve computerized queries of digital patient data and clinical notes with the aim of enhancing pharmacoepidemiology, according to an April 10 press release from Oracle.
The project, dubbed the Multi-source Observational Safety Study for Advanced Information Classification Using NLP, aims to help the FDA recognize how machine learning and natural language processing can help analyze the effects of medicines on large populations.
Specifically, the project will look at how the asthma drug montelukast affects patient populations.
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.