Local Data

We have developed an open source Raspberry Pi program to easily extract 300Hz ECG data from a GE monitor for Heart rate variability analysis

Gateway data

We are developing data extraction software to stream de-identified physiological data to the Amazon cloud for real time and retrospective analytics. This will be all data points at 1Hz, waveforms at 60Hz and ECG at 240Hz.

Metavision ICU data

We will create a view across a number of the Queensland Metavision ICU sites, behind the firewall, collecting as much common data as possible at 1 minute intervals, to consolidate over 25,000 ICU patients in to a searchable format for research.

And then the wards

As technology allows easier access to streaming data from ward based patients, we will aim to stream this data also, using what we have learnt from the ICU data to better monitor ward patients, looking particularly for early signs of deterioration.

And Community

The reach will further extend eventually to the community – recently discharged patients, those at risk of re-admission, those wanting closer AI-based monitoring of their health.

And Collaboration with other centres

We plan to work with both national and international sites to further extend data sets, both streaming physiology data and also potentially patient data. The latter would need an agreed and certified de-identification methodology and restricted access methods before inclusion.

Partners