Live Predictive Analytics for an Urgent Care System at Greater Manchester

date:

Tuesday, October 4, 2022

Time:

10:54 pm

Summary:

The Greater Manchester case study tells a compelling story about the collaboration around data sharing across a health system and utilisation of business intelligence technologies. Multiple health care providers work as a collective urgent care system, sharing system pressures using business intelligence and predictive analytics. The reporting is not only near live but also supports a view of department pressures above and beyond how many people are waiting for treatment. Predictive metrics enable proactive utilisation of directing ambulance flows to support each other as a system.

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