Original source: SiliconANGLE theCUBE
This video from SiliconANGLE theCUBE covered a lot of ground. 1 segment stood out as worth your time. Everything below links directly to the timestamp in the original video.
Hospitals already hold the data needed to prevent some of their most costly — and avoidable — patient harms. The question is whether they are organised to use it.
Hospitals Turn to Predictive Analytics to Curb Falls and Infections
What this exposes is a gap between the volume of actionable data hospitals already possess and the degree to which that data is being systematically deployed. A hospital CIO recently described to Schmarzo a fall-risk scoring model — weighting patient age, existing conditions, and mobility history — designed to flag vulnerable patients before an incident occurs, a problem whose financial and reputational cost the hospital had quietly quantified but declined to disclose. A parallel challenge involves patients held in hallway limbo between emergency admission and room assignment, a waiting state that compounds exposure to hospital-acquired infections.
The structural issue here is that both problems are, in principle, data-solvable today — the barrier is not capability but prioritisation, a gap that widens as an ageing population pushes more fragile patients into systems not yet organised to protect them.
"As our population is aging, as we're getting more and more fragile people into the system, falling is a real problem — people fall, they break their hips, and you've got to replace them."
Summarised from SiliconANGLE theCUBE · 18:07. All credit belongs to the original creators. Streamed.News summarises publicly available video content.
