Case Manager
Coordinating referrals and service connections
What You Do Today
Connect clients to housing programs, mental health services, job training, legal aid, childcare, food assistance — navigating a fragmented system that's hard even for professionals.
AI That Applies
AI maintains a real-time resource directory with current availability, eligibility requirements, and wait times. Matches client needs to available services automatically.
Technologies
How It Works
For coordinating referrals and service connections, the system draws on the relevant operational data and applies the appropriate analytical models. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
You know which services have current openings and eligibility matches before making calls. Less time on hold, more accurate referrals.
What Stays
Navigating waitlists, advocating for your client's priority, and building relationships with service providers. The system is imperfect — you bridge the gaps.
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 coordinating referrals and service connections, 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 coordinating referrals and service connections 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's the biggest bottleneck in coordinating referrals and service connections today — and would AI address the bottleneck or just speed up something that's already fast enough?”
They set clinical practice guidelines that AI tools must align with
your health informatics lead
“How do we currently measure service quality, and would AI-assisted responses change that measurement?”
They manage the EHR integrations and clinical decision support configuration
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.