A not for profit, rural, primary care network in Australia was
required to report a list of 28 quality indicators determined by
its state government, every 6 months, to qualify for government
funding.
Using our technology, Piano, the data manager ingested the data in under three works of part-time work. Healthcare data ingestion using Piano is fast and mostly automated, and requires very little user intervention.
The data was then cleansed, aggregated and standardised intoOMOP* using our proprietary AI and ML algorithms. Medical concepts from source data are automatically mapped as opposed to current methods of manual mapping by a data scientist.
Analytic workflows were created for each of the 28 quality indicators (approximately 30 mins - 4 hours per indicator).Daily and XML reports created using the platform's RESTful API
A report for submission was createdin under 2 weeks of part-time work, asopposed to the original timeframe of 6months full time work.
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