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CareCentric Business Intelligence

CareCentric BI enables integrated care record data to be made available for advanced analytics in near real-time. We strongly believe there is no such concept as a single analytics solution which fits the entirety of Health and Social Care. Due to this our approach is to provide a highly configurable toolset which provides the following major functions:

  • Integrated Care Record data warehouse which includes granular SQL access to the row level data
  • Business Intelligence using Microsoft Power BI for the creation of dashboards, reports and ad hoc analysis which can be embedded into the CareCentric Integrated Care Record
  • Data Science platform to build and deploy alogorithms

Our future vision includes developing advanced functionality for the integration of both population wide and disease specific artificial intelligence, machine learning, mathematical models and algorithms that have been validated by academic research.

CareCentric BI is a Microsoft Azure cloud based solution which is based in UK data centres. 

The data is replicated in real time to the Microsoft Azure based data lake which is a key part of the CareCentric Business Intelligence solution. The data is then further processed into three separate Health data marts using Azure Data Factory:

  • Direct Care – Full patient identifiable data mart designed for use as part of direct patient care analytics.
  • Secondary uses – Pseudo anonymised patient data. Can be linked back to identify the patient with the correct security access.
  • Research – Enables analysis and sharing of the data for research purposes via delivery of a fully anonymised health data mart.

Customers can additionally import data into the solution using the standard Microsoft toolset.

Benefits:

  • Centralised data: Our CareCentric BI brings data from a wide variety of source to one place, allowing for cross service analysis and benchmarking. This also enables a centralised location and access point for all reports.
  • Events: The events timeline table creates a longitudinal record of all the key events for a patient. This can easily be utilised for aggregate statistics and for the creation of visualisations such as a patient Theograph.
  • Near real-time analytics: The whole analytics solution pulls together data in a combination of real time and near real time for the entire shared care record. This means operational dashboards, data science models and other analytics are timely enough to be used as decision support. 
  • Embedded analytics: The Microsoft Power BI data visualisations can be embedded into the shared care record workflows for use by care professionals without having to log onto yet another system. Major GP and Acute system suppliers already embed CareCentric within their clinical systems for seamless point of care access.