CareFlow: Hospital Shift Scheduling
A hypothetical business case demonstrating how GetPost Labs approaches healthcare workflow automation. From problem identification through BPMN modeling to interactive prototype.
Executive Summary
The Problem: Hospital nurse managers spend significant time on manual shift scheduling. Last-minute sick calls cause scrambling to find qualified replacements while ensuring fatigue rules and certifications are met.
The Solution: CareFlow is a custom shift scheduling application that detects coverage gaps, matches staff by qualifications and fatigue compliance, ranks candidates transparently, and automates notifications.
The Outcome: Managers maintain control of decisions while the system handles the tedious work of finding, filtering, and contacting staff. Time is saved through automation of repetitive tasks, not by replacing human judgment.
The Challenge
Understanding the problem space
"Our nurse managers spend 60-80% of their time on scheduling. Last-minute sick calls cause chaos — we scramble to find replacements while worrying about fatigue rules and qualifications."
— A common complaint from Directors of Nursing
Hospital shift scheduling is complex because it involves multiple constraints: staff certifications (ICU, Emergency, Pediatric), fatigue management rules mandated by health regulations, individual preferences, leave requests, and fair overtime distribution.
When done manually, managers often resort to paper rosters, phone calls, and memory — which doesn't scale. The result: managers arrive early to juggle allocations, staff feel scheduling is unfair, and last-minute gaps create overtime costs and burnout.
The Solution
What GetPost Labs would build
Core Capabilities
How Time Is Saved
The methodology, not speculation
Time savings come from automating repetitive tasks that currently require manual effort. Here's the logic:
Gap Detection
Manager manually reviews roster each morning, cross-references with leave system, identifies gaps.
System continuously monitors roster vs. leave data. Gaps flagged instantly when leave is entered.
Finding Available Staff
Manager mentally recalls certifications, checks who's already worked 5 days straight, calls around to find availability.
System queries HR database for qualified staff, filters by fatigue rules, returns ranked list in seconds.
Contacting Staff
Phone calls one by one, leaving messages, waiting for callbacks, tracking who said yes/no.
One-click notification with shift details. Staff respond via app. Automatic escalation if declined.
BPMN Workflow
The business process modelled
Shift Gap Resolution Process
User Journey
Filling a Last-Minute Shift Gap
Scenario: Ward A has a gap for Wednesday 3pm-11pm shift. The RN who was scheduled called in sick at 6am.
Automatically detects coverage gap when sick leave entered, alerts NUM via dashboard and mobile notification
Opens dashboard, sees 4 qualified RNs available: S. Chen (preferred), J. Wong, L. Smith, K. Brown - sorted by qualifications match and fatigue rules
Clicks "Assign" on S. Chen. System checks: ✓ ICU qualified, ✓ Under fatigue limits, ✓ No leave blocked
Sends push notification + SMS to S. Chen with shift details, ward location, and one-tap accept button
S. Chen receives notification, taps "Accept". Confirmation sent back to system within 2 minutes
Roster automatically updated, gap closed, audit trail logged. NUM sees green "Filled" status
HR dashboard shows all shifts compliant with fatigue rules and qualification requirements. No manual checks needed
Outcome: Gap filled in under 5 minutes. Previously took 2+ hours of phone calls.
Interactive Prototype
Functional dashboard demonstrating the concept
Weekly Roster — Ward A
Week of Jan 6-12, 2025 • Auto-scheduling enabled
| Shift | Mon | Tue | Wed | Thu | Fri | Sat | Sun |
|---|---|---|---|---|---|---|---|
| 7am-3pm | S. Chen RN | Auto-fill RN pending | S. Chen RN | J. Wong RN | S. Chen RN | — RN OPEN | J. Wong RN |
| 3pm-11pm | J. Wong RN | L. Smith RN | — RN OPEN | L. Smith RN | J. Wong RN | L. Smith RN | Auto-fill RN pending |
| 11pm-7am | M. Patel EN | K. Brown EN | M. Patel EN | Auto-fill EN pending | K. Brown EN | M. Patel EN | K. Brown EN |
© 2026 GETPOST Labs. Full Stack Engineering Solutions.
Functional prototype. Click on cells and entries to see interactions.
System Context
Where CareFlow fits in the ecosystem
Have a Similar Problem?
This is the kind of workflow automation GetPost Labs builds. If your organisation has similar challenges, we'd love to discuss how a custom solution might help.