Health Informaticist
Optimize clinical workflows in the EHR
What You Do Today
You analyze how clinicians use the EHR, identify pain points and inefficiencies, and redesign workflows, order sets, and documentation templates to improve usability and reduce burden.
AI That Applies
AI analyzes EHR usage patterns, identifies click-heavy workflows, and suggests optimizations based on how high-performing users complete the same tasks.
Technologies
How It Works
The system ingests EHR usage patterns as its primary data source. The automation engine executes each step in the process sequence — validating inputs, applying business rules, generating outputs, and routing exceptions to human review queues. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
Workflow analysis becomes data-driven when AI shows you exactly where clinicians spend their time and where friction exists.
What Stays
Understanding why clinicians work the way they do, designing solutions they'll actually adopt, and the change management that makes new workflows stick.
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 optimize clinical workflows in the ehr, 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 optimize clinical workflows in the ehr 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
“Which steps in this process are fully rule-based with no judgment required?”
They set clinical practice guidelines that AI tools must align with
your health informatics lead
“What's the error rate on the manual version, and what would "good enough" look like from an automated version?”
They manage the EHR integrations and clinical decision support configuration
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.