There is an unprecedented volume of information being collected and stored by health and care systems across the globe. In addition, an ageing population, health inequalities and the social determinants of health present significant challenges to these global health and care systems.
"Every two days now we create as much information as we did from the dawn of civilization up until 2003" - Google CEO Eric Schmidt
With this challenging landscape and the volume of information available there are new demands for the use of this information to drive business intelligence. However, over the years health and care organisations have used static, retrospective information to support their decisions, instead of real-time, predictive information to drive their actions.
For example, electronic bed boards are becoming increasingly common in hospitals and are vital to hospital operations. The information from electronic boards tend to be used in infrequent bed meetings to make decisions about discharging or moving patients. However, the business intelligence available is usually not real-time nor predictive. Therefore, these decisions are being made using historic, potentially out of date information.
This does not have to be the case; business intelligence can be superseded by next generation, real-time, predictive analytics to drive more insightful decisions about discharging or moving patients.
“Information is really only valuable if you can translate it into real-time actionable insights.”
In our experience, the drivers of insightful business intelligence are:
- Presenting complex information and metrics in a simple, accessible format.
- A visual representation of targeted KPIs and metrics that drive actions.
- Moving from retrospective to real-time, predictive analytics to ‘prescriptive analytics’ (making use of the predictive analytics to drive actions).
- Collecting data spread across multiple systems and bringing it together into a centralised data warehouse to provide quick and reliable insights.
Combining these drivers and more, we at GE Healthcare Partners (GEHCP) have been pioneering the development and implementation of real-time, predictive, prescriptive analytics that drive actionable insights across health and care organisations with our Command Centre and Wall of AnalyticsTM (WoATM) transformation programme.
A Command Centre concentrates operational decision-makers around a WoATM which equips them with real-time, predictive analytics and decision support tools to enable better and faster decisions. A WoATM is a wall of screens displaying a custom designed visualisation (“tile”) of real-time information. Every tile performs a specific function, usually applying predictive and artificial intelligence algorithms and analysis of data from numerous sources to produce visual insights that drives action.
At the end of November 2017, Humber River Hospital (HRH) celebrated the opening of the first Command Centre in Canada, designed and built in partnership with GE Healthcare Partners. The HRH Command Centre has taken business intelligence to the next generation already enabling staff to make better and faster decisions to synchronise care delivery activities, eliminate delays in care and resolve patient flow bottlenecks.