Physician
Care Coordination
What You Do Today
Coordinate with specialists, therapists, social workers, case managers, and discharge planners. You're the quarterback making sure everyone is aligned on the plan and nothing falls through the cracks.
AI That Applies
AI-powered care coordination platforms that track referral status, surface care gaps, and send proactive alerts when coordination milestones are missed or delayed.
Technologies
How It Works
The system ingests referral status as its primary data source. NLP models process the text input by identifying entities, classifying intent, and extracting the structured information needed for downstream decisions. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
The AI tracks whether the patient actually saw the specialist, whether the recommended test was completed, and whether the follow-up appointment was scheduled. You get alerted when things fall through the cracks.
What Stays
The clinical leadership — deciding what the care plan should be, resolving disagreements between specialists, and making the call when the patient's goals conflict with the medical recommendation.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for care coordination, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long care coordination takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your department medical director
“What data do we already have that could improve how we handle care coordination?”
They set clinical practice guidelines that AI tools must align with
your health informatics lead
“Who on our team has the deepest experience with care coordination, and what tools are they already using?”
They manage the EHR integrations and clinical decision support configuration
a nurse informaticist
“If we brought in AI tools for care coordination, what would we measure before and after to know it actually helped?”
They bridge the gap between clinical workflow and technology implementation
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.