Optimising the use of routine administrative health records: the role of data science methods

Date: 21 May 2019
Time: 10am - 2pm
Cost: Free

The aim of this Jean Golding Institute workshop is to bring together researchers from Population Health Sciences and data scientists, mathematicians and engineers from across the University of Bristol to form new collaborations to begin to answer complex questions using routine administrative health records. Health care is increasingly complex, and analytical techniques that utilise more of the available information in routine data sources could begin to answer more complex questions, thus optimising the delivery of safer, efficient and more effective care.

What to expect

The morning will include presentations on accessible and available databases for research, and data science methodologies, including free-text analysis, high dimensional data structural analysis, and machine learning, from experts at the University of Bristol.

Researchers from Population Health Sciences will then present research challenges - clinical, health service research or public health questions that use available routine health date that require novel (for epidemiology/health service research) methodologies such as neural networking, free text analysis, data mining, inductive logic programming and decision support and recommender systems. Challenges are broad, and are an opportunity to develop new methodologies that could then be applied elsewhere.

The presentations will be followed by round table discussions and a working lunch, for ideas to be discussed and developed in an informal environment.

The morning is open to everyone, including students who are looking for PhD projects, and early career scientists. We hope that by bringing researchers together, we can share our expertise and identify new and exciting opportunities for cross-discipline collaborations.

Event address: Hepple Lecture Theatre
School of Geographical Sciences
University of Bristol
Contact information: Email: jgi-coordinator@bristol.ac.uk
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