← Tuesday's Code

How Healthcare Teams Use Patient Intake Automation 👥

Same data. Four workflows. Better care.

June 11, 2025
⚕️ Healthcare👥 4 Roles⚡ Real Workflows

Tuesday you saw the code. Today you see who actually uses it.

Same automated intake system. Four team members. Each has different needs, different dashboards, different wins. Here's how they work together.

Team Workflows

🩺

Intake Coordinator

15 min → 2 min per patient

87%
Faster

Before

Decipher handwritten forms (5 min)
Call patients for missing info (3 min)
Manually type into EHR (7 min)

After

Patient submits via tablet (self-service)
AI extracts data in 5 seconds (automatic)
Review AI output for accuracy (1 min)
Chart ready in 2 minutes total
📱Patient InputSelf-service🤖AI Extract5 sec👀Staff Review1 minChart ReadyDone
Volume
60 patients processed daily
Saved
13 min × 60 = 13 hours saved per day
Quality
95% complete vs 60% before
Outcome
Handle 3x volume without overtime

"I actually have time to talk to patients now instead of just typing."

— Intake Coordinator, 6 years experience

How Roles Work Together Through the System

Watch how four roles collaborate on one critical case through the automated system.

🚨

High-Risk Patient: John Smith, 62, Chest Pain

🤖
AI Specialist
Instant
Detects 'chest pain' + age 62 + missing cardiac history → flags HIGH RISK
🩺
Intake Coordinator
+30 sec
Sees red flag alert, reviews AI-generated questions about cardiac symptoms
📱
Intake Coordinator
+10 sec
Clicks 'Send Questions' → Patient gets 4 targeted questions via SMS
💬
Patient
+2 min
Responds: 'Pain started 3 days ago, family history of heart disease, taking aspirin'
🤖
AI Specialist
Instant
Updates chart, maintains HIGH RISK flag, moves to urgent queue automatically
🔬
Clinical Lead
Exam time
Sees complete chart with cardiac history highlighted, patient seen within 15 minutes
📊
Operations Manager
Monitored
Dashboard confirms protocol followed: flagged → questioned → escalated → seen
💡

Dangerous prescription avoided. Patient referred to cardiology same day. Zero manual coordination needed.

Practice-Wide Impact

MetricBeforeAfterImprovement
Daily Patient Volume180 patients500 patients
178% increase
Chart Completion Rate60% complete98% complete
+38 points
Staff Time on Intake22 hours/day6 hours/day
73% reduction
Appointment Delays45 min behind by noonOn schedule all day
Zero delays

Getting Your Team On Board

⚠️
Fear

Coordinators think AI will replace them

💡
Response

Show time savings data: 'You'll spend 13 hours less typing, 13 hours more helping patients.' Frame as assistant, not replacement.

Result

Staff see it as getting their job back, not losing their job.

⚠️
Fear

Clinicians don't trust AI extraction accuracy

💡
Response

Run parallel for 2 weeks: manual + automated. Show 99.2% accuracy rate and how AI catches things humans miss.

Result

Trust builds through data. Doctors become biggest advocates.

⚠️
Fear

Ops worried about upfront implementation cost

💡
Response

Calculate ROI: $2,210/day savings × 30 days = $66,300/month. Show 30-day payback period with monthly savings chart.

Result

Decision becomes obvious when you see the math.

⚠️
Fear

Staff overwhelmed by learning new system

💡
Response

Start with 1 role (coordinators), 1 week. Add clinicians week 2. Full rollout week 3. Provide role-specific training.

Result

Gradual adoption prevents overwhelm. Early wins build momentum.

⚠️
Fear

Patients won't use tablets or SMS

💡
Response

Offer paper backup for first month. Track adoption rate (typically 92% prefer digital within 2 weeks).

Result

Patients love it once they try it. Faster, easier, no waiting.

⚕️

Want This in Your Practice?

We'll show your entire team exactly how they'll use it. Custom demos for coordinators, clinicians, and ops managers.