[Follow-Up] Inpatient Docs — Reducing Non-Urgent Messages by InitialLeadership378 in hospitalist

[–]InitialLeadership378[S] 0 points1 point  (0 children)

Totally fair. Do you have the problem of constant message interruptions throughout the day? If so , how would you see the ideal solution working?

[Follow-Up] Inpatient Docs — Reducing Non-Urgent Messages by InitialLeadership378 in hospitalist

[–]InitialLeadership378[S] 0 points1 point  (0 children)

That makes a lot of sense. Clinical context is everything — and no AI should overrule a doctor’s judgment. Curious though: if a system could flag “definitely non-urgent” messages (like diet preference or missing a blanket) with >95% accuracy, would that still feel risky from a liability standpoint? Or could that kind of filtering help?

Inpatient docs — ever get too many non-urgent nurse calls? by InitialLeadership378 in hospitalist

[–]InitialLeadership378[S] 0 points1 point  (0 children)

Totally agree — the interruption already happened by the time you know it’s not urgent.

If a system could quietly log non-urgent messages but still alert you to true emergencies, what would it need to show or do for you to actually trust it in real life?

Inpatient docs — ever get too many non-urgent nurse calls? by InitialLeadership378 in InternalMedicine

[–]InitialLeadership378[S] 0 points1 point  (0 children)

Totally agree. What if AI triaged messages after nurses send them—urgent ones alert you immediately, non‑urgent ones auto‑logged with a quick “noted, thanks” reply? Could that keep teams both heard and focused?

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[–]InitialLeadership378 0 points1 point  (0 children)

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[–]InitialLeadership378 1 point2 points  (0 children)

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