Early Deterioration Warning
Shifts in vital sign patterns and laboratory results are surfaced as a warning before a patient's condition worsens further.
Solutions · Medicare AI Suite
Medicare AI Suite reads the data already in the electronic medical record to surface early warnings, suggested investigations, and risk predictions. All of it arrives as input that may be declined, and the final decision stays with the clinician providing care.
Everything below is assistive: it raises something for consideration, it does not decide on anyone's behalf.
Shifts in vital sign patterns and laboratory results are surfaced as a warning before a patient's condition worsens further.
Estimated risk of readmission, length of stay, and complications is shown together with the factors driving it, rather than as a number with no explanation.
Tests that usually accompany a working diagnosis are proposed, so anything missed becomes visible sooner.
Risky drug combinations and doses outside the usual range are flagged at the point of prescribing, not after the medicine has been handed over.
Long notes are condensed into key points to speed up shift handover and the writing of discharge summaries.
The accuracy of each model is monitored continuously, and a model that degrades can be switched off without disturbing the others.
Governance
Decision support that cannot be accounted for has no place in a clinical setting. So every suggestion keeps the basis on which it was raised, who received it, and what was done next — including when the suggestion was declined.
The AI Suite works from the quality of the medical record data you already hold. Our team will assess that readiness first, before discussing which modules are worth switching on.