Inter-hospital transfer coordination gaps

System failure identification

Arranging a transfer requires sequential phone calls to find a receiving bed. Each call is made blind, and the time consumed is clinical time during which the patient is not moving. The patient's deterioration continues throughout the search.
Data pipeline diagnostics

Capacity data exists inside each hospital and is shared with none of the others. There is no regional view, so the search is exhaustive by necessity rather than directed by information. Each hospital has solved the problem locally and none has solved it between them.
Predictive computational model

Publish a minimal shared capacity signal per facility: accepting or not, by service line, with a timestamp. Match requests against it before any call is placed. A binary accepting flag is far easier to agree on than a shared bed schema.
Workflow integration

Adopt it as a coordination layer above existing systems, requiring each hospital to publish one small feed rather than to standardise its internal records. Requiring one small feed is a change each hospital can make independently.

System failure identification