Exploiting the potential of large databases of electronic health records for research using rapid algorithms and an intuitive query interface

Abstract

We have had many struggles with extracting accurate, complete and timely data however we now have, "an end-to-end system, underpinned by an innovative search algorithm, allows the user to extract information in near real-time via an intuitive query interface."

Background

Change in technology allows for large databases to collect vast amounts of information from millions of patients which could potentially assist with research and development of studies or medicine. This data is found in the Clinical Practice Research Datalink (CPRD) database and is accessed by scientists, clinicians and government agencies from around the world.The challenge lies in the amount of time such a large complex query could take to complete as well as the format in which it is extracted is typically in rows and columns. Though this is a start to findings there still may be days of work involved with sorting and filtering data.

Objective

One goal is to have the ability to run a query that will gather the data needed with little experience in coding. The other goal is to reduce the amount of time it takes to run the query."TrialViz is a simple online intuitive interface to the large and complex data held within CPRD"

Methods

Multiple diciplines have come together to collaborate on such an extensive project i.e. data analysts, epidemiologists, software engineers

References

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