Over the last seven years, with the use of EMIS Health’s unscheduled care application Symphony, LTH had collected a large amount of clinical and patient data from the Emergency Department but did not have the resources to analyse it in a timely manner. In order to deal with an increasing number of requests for up to date data, a system to review the stored data was required.
The big data challenge
In order to meet these demands, EMIS Health’s analytics team approached LTH to take part in a pilot project to transform this data into meaningful reports. In conjunction with Microsoft, Intel and Two10degrees; EMIS Health used Natural Language Programming (NLP) to develop a system to search through the free text fields of patient and clinical records for keywords, and to quantify the data to a structured output.
Tailored to the trust
The NLP system can be configured to understand individual trust’s abbreviations in order to incorporate as much data as possible in the reports.