Optimization as a Service/Infra/System (OaaSIS)

OaaSIS Scheduling uses an AI-powered optimization engine to automatically generate optimal nurse rosters for hospital wards.

Manual
SScheduler 웹 관리자 화면SScheduler 모바일 앱 화면
WHY OaaSIS?
Why Choose OaaSIS Scheduling?

Nursing-Domain AI Scheduling Engine

• Fully handles complex nursing rules — 3-shift, 2-shift, and custom rotations• Generates optimal rosters for entire wards in seconds• Fine-tuned to each hospital and ward for maximum accuracy

Intuitive UI/UX for Ward Managers

• Click any cell to instantly edit shifts and re-optimize• Calendar and table views with a full ward overview at a glance• Real-time constraint violation alerts and instant notifications

Fair and Compliant Nurse Staffing

• Automatic validation of labor law, collective agreements, and hospital policy• Fair allocation reflecting nurses' preferred shifts, skills, and seniority• Continuous learning from accumulated data to improve roster quality

HOW IT WORKS
See how easy it is to use OaaSIS Scheduling!
Ward managers can complete a full month's roster in just a few clicks.
관리자 워크스페이스 — 병원·병동 현황 및 주요 작업 화면
STEP 1

Nurse Profiles & Ward Setup

  • Register nurses' names, grades, qualifications, and preferred shifts. Configure shift types (Day, Night, Evening) and minimum staffing levels.
  • Define scheduling constraints based on labor law, collective agreements, and hospital policy.
제약 조건 설정
최대 연속 5일 근무적용됨
주 48시간 초과 금지적용됨
야간 후 최소 11h 휴식적용됨
고정 휴가: 7/15–7/20적용됨
STEP 2

Enter Leave & Fixed Shifts

  • Before generating the schedule, input each nurse's leave requests, training days, and fixed night shifts.
  • Shift continuity from the end of the previous month is automatically carried over.
SScheduler AI 어시스턴트 — 스케줄 분석 및 최적화 실행 화면
STEP 3

Generate AI Schedule

  • With a single click, an optimal nurse roster is generated in seconds — all constraints satisfied simultaneously.
  • Any constraint violations are highlighted immediately, guiding you to make manual adjustments.
  • Fairness metrics (night count per nurse, consecutive working days, etc.) are shown alongside the result.
간호사 앱 — 나의 스케줄 확인 (달력 뷰)
간호사 앱 — 병동 스케줄 확인 (전체 표)
STEP 4

Review, Edit & Publish

  • Check the roster in calendar and table formats; click any cell to make quick edits.
  • After confirming, tap Publish — the schedule is instantly pushed to the nurse app (쓱케줄러) with notifications sent.
  • Even after publishing, you can review modification requests and re-publish as needed.

MOBILE APP
The App Nurses Use Every Day
Nurses can check their schedule, the full ward roster, and submit shift-change requests anytime from their smartphone.
Login
Login
My Schedule
My Schedule
Ward Schedule
Ward Schedule
Change Request
Change Request

EXCLUSIVE FEATURES
Exclusive Features of OaaSIS Scheduling
From a nursing-specialized AI engine to seamless nurse app integration!

Nursing-Specialized AI Optimization

Generative AI tailored to nursing shift patterns generates initial rosters; domain-specific local search then maximizes constraint compliance and fairness.

Automatic Regulatory Compliance

Automatically validates labor law, hospital policy, and consecutive-shift limits to eliminate legal risks proactively.

Cell-Click Editing & Re-Optimization

Click a cell to change a shift type instantly and see the impact on other constraints in real time.

Multi-Ward Integrated Management

Hospital admins can monitor all wards' scheduling status on one screen and flexibly allocate nursing staff.

Nurse App Integration (쓱케줄러)

Rosters are pushed to the nurse app immediately after publishing, and nurses can submit modification requests directly from the app.

Fairness & Workload Analytics

Reports on night shift counts, consecutive working days, and weekend assignments help ward managers ensure fair scheduling over time.


AI FOUNDATION MODEL
Nursing-Specialized AI Scheduling Engine
A generative AI optimized for nursing shift domains creates initial roster candidates; a specialized AI local search then maximizes constraint compliance and fairness to produce the final schedule.
The solver is continuously re-trained on accumulated ward-specific scheduling data and feedback from ward managers and nurses, building a customized scheduling AI that reflects each ward's unique characteristics.
생성형 AI
Generative AI
도메인 특화 로컬 서치
Domain Local Search
최적 스케줄
Optimal Schedule
지속적 재학습 → 조직 맞춤형 AI
98%
제약 준수율
3초
최적화 시간
학습 데이터