PAT CAT is a web based solution that aggregates de-identified General Practice data and displays the information through a comprehensive collection of graphs, charts and reports.
Leveraging off the Clinical Audit Tool (CAT4), Australia’s market-leading general practice data extraction and analysis tool, PAT CAT assists primary care and research organisations with population health, service planning and reporting.
The PAT CAT software and data is hosted and stored on the clients own designated servers.
Importing data to PAT CAT is simple. CAT4 extracts the data from the clinical and billing system and saves an extract on the general practice’s server. CAT4 then de-identifies the data set and securely submits the data extract directly to PAT CAT (that is stored on the clients own servers).
The importing process can be fully automated or manually completed and is determined by the general practice, giving them confidence in knowing where their data is going, and what it is used for.
The benefits available to health professionals who utilise PAT CAT include:
- An efficient method to analyse the needs of a population within a defined catchment
- A more efficient method to identifying and assisting general practices to implementing clinical interventions
- Comparing Chronic Disease Prevalence
- Identifying Data Quality gaps within General Practices
- Comparing MBS Item Number Utilisation
- Mapping aggregate data with ability to overlay with ABS statistical data
Frequently Asked Questions
Pen CS complies with Australia’s Privacy Act and all of its amendments. CAT4 de-identifies the information within the practice prior to submitting the de-identified extract to PAT CAT.
The data is stored on the clients own servers. De-identified data extracts are sent directly from the practice to the client’s PAT CAT server.
Pen CS does not collect or store any clients clinical data. All clinical data is sent from CAT4 directly to the clients own PAT CAT server.
PAT CAT has geo-spatial mapping tools that were jointly developed by Pen CS and the Australian National University (ANU) that enable aggregate data to be shown securely on maps using statistical areas. PAT CAT utilises a specialised geocoding system developed by the ANU called G-Tagging that enables meaningful mapping of health data whilst ensuring patients are not linked to any addresses or co-ordinates.