As a result of the big data phenomenon, data values, the differentiation of new streams are exploding around us.
However most organizations are missing the analytic opportunities of big data because they are still trying to gain knowledge from structured data via the traditional tools for business intelligence (BI), and data warehousing (DW). In healthcare many opportunities are present to harness unstructured and semi structured data.
The value to healthcare and the end user will not come from a predictive analytic model; but by the actual high impact clinical decisions that can be made thanks to it.
An initial effort should focus on decisions and on predictive analytics that can be implemented and have a clear fit within the organization.
It seems that the most present opportunity is to simply understand how to use analytics to go “beyond alarm management at the most basic sense”.
While the enclosed case study demonstrates significant efficacy to reduce alarms by 78% it goes way beyond. It provides a vendor neutral way of making this happen leading to analytics and better decision support.
Collecting real time physiological parameters need to be combined with the individual alarms providing the right “tool set”.
In this case as described it has allowed clinical leadership to determine the potential impact of alarms and patient care before making actual adjustments to their specific settings.
