QodeInsight supports organisational strategic objectives and decision-making through the application of the latest big data technologies. This technology correlate data sets from a plethora of sources into easy to understand visual dashboards and insight reports. Insight reports, which are based on a strong foundation of both qualitative and quantitative analysis, are aimed at delivering the most reliable and accurate insights into data, which can be used to understand the past and plan for the future.
Database & Integration Engine
QodeInsight supports organisational strategic objectives and decision-making through the application of the latest big data technologies. This technology correlates data sets from a plethora of sources into easy to understand visual dashboards and insight reports. Insight reports, which are based on a strong foundation of both qualitative and quantitative analysis, are aimed at delivering the most reliable and accurate insights into data, which can be used to understand the past and plan for the future.
At the heart of the QodeInsight system is its MySQL database, which integrates and stores all raw data collected from a range of healthcare systems. These include various HIV and Tuberculosis testing applications with results (South Africa’s tier.net HIV system), blood results from state and private laboratories (including the South African NHLS lab), clinical EMR systems (such as QodeEdge) as well as Genotyping databases.
A build-in patient identification engine captures multiple criteria ensuring that a unique QodeInsight patient identifier is created and linked to each individual patient’s profile on the QodeInsight system. Information received from its multiple sources are then correctly linked to each individual patient on the system. This ensures data compliance and accuracy when the data is interrogated and reported on.
The QodeInsight system was designed to interrogate the raw data stored in its databases. This interrogation engine detects errors, such as typing errors and data inversion. It has the ability to place priority on data inputs, thus placing a higher importance on data received from one source over another source.
Reporting & Data Management
The MySQL database is linked with a web as well as a windows desktop interface allowing a registered user to;
- Generate pre-defined reports on its online dashboards
- Defined according to date, healthcare facility and standardised reporting formats
- Export data to be analyses by the QodeInsight dashboard module or any other business intelligence systems
The online reporting dashboard has access control by means of username login and passwords, as well as user defined roles which limit or grant access to certain data sets. The system incorporates data filters making it more convenient to search and find specific information sets. Raw data can be exported from QodeInsight should our clients require this functionality.
Reports have been formatted in the PEPFAR required CVS format and incorporates real-time data. Scheduled monthly reports are generated as requested and follow a pre-defined template, customised to each client’s requirements.
This global data exploratory framework offers the following functionality:
- On-the-click data querying
- Data exploration
- Embedded graphical displays
- Full data export and reporting
- Bookmark queries with filters of interest
- Data analysis for statistical use