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Whether a patient is suffering from a stroke or another acute life-threatening condition, outcomes are often closely connected with time to treatment. Although there are many inefficiencies that can arise before a patient even enters the hospital’s care whether it is the time it takes to call the operator, their mode of transportation, or how they present when they get there the use of emerging technologies within the emergency department can go a long way toward overcoming and compensating once they arrive.
At the highest level, the goal is to reduce communication breakdowns, support informed decision making, accelerate communication between doctors, and help align team members in order to deliver optimal care. While in reality this is far from easy, introducing machine-learning driven platforms into the process has shown major promise in achieving this end, by streamlining care and improving patient outcomes as a result.
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