RosterLab
Overview
RosterLab is an AI-powered staff rostering software designed to generate and optimize staff rosters in minutes, not days. It is built specifically for healthcare, 24/7 operations, and teams with complex rules that are difficult to manage with spreadsheets. The platform aims to transform workforce management by achieving better staff outcomes, reducing turnover, saving time, and ensuring safety and fairness in scheduling. It utilizes an advanced mathematical optimization engine to efficiently allocate staff, reduce penalty costs, improve coverage, and facilitate proactive planning. RosterLab supports various healthcare departments like ICU/ED, Radiology, and Aged Care, and also caters to other industries such as hospitality, 24/7 support teams, and manufacturing.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI Roster Generator
- Automated compliance with rules & demands
- Staff mobile app for requests & preferences
- Dynamic scenario planning
- Shift swaps & open shift management
- Integration with payroll systems (Trendcare, others upon request)
- Optimise skill mix
- Minimise costs
- Allocate staff efficiently
- Share rosters via mobile app with calendar sync
Use Cases
- Generating compliant physician schedules
- Optimizing staff allocation in critical care units (ICU/ED)
- Planning radiology rosters by sessions
- Improving staff continuity of care in aged care facilities
- Managing complex shift work in hospitality and manufacturing
- Reducing administrative burden for schedule managers
What Physicians Need to Know
Leverage RosterLab's AI to prioritize complex scheduling needs, such as balancing clinical skill mix, managing fatigue, and accommodating individual preferences, to improve staff well-being and patient care. Utilize the scenario simulation feature to proactively plan for staffing changes and optimize resource allocation. Encourage staff to use the mobile app for submitting preferences and managing shifts to enhance engagement and reduce administrative burden.
RosterLab integrates with payroll systems, including Trendcare, and can also integrate with others upon request. It offers native connections to Microsoft Teams and Zapier, allowing it to fit into existing workflows and connect with various other business tools.
Details
| Category | Practice Management & Scheduling |
| Pricing | Contact for pricing |
| Deployment | Cloud-based |
| Compliance | |
| BAA Available | Unknown |
| HIPAA Compliant | Unknown |
| FDA Status | Not applicable AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Critical Care, Emergency Medicine, Hospital Medicine |
What the Web Says
RosterLab is an AI-powered staff rostering software designed to create compliant and optimized schedules, particularly for healthcare organizations. It aims to reduce administrative burden, improve staff satisfaction, and ensure compliance with contractual and union requirements. The system allows staff to submit preferences and leave requests via a mobile app, which the AI then incorporates into generating fair and balanced rosters.
Overall: PositiveStrengths
- Significantly reduces time spent on rostering (e.g., from days to hours).
- Increases fairness and transparency in shift distribution.
- Ensures compliance with contract obligations, union rules, and skill mix requirements.
- Improves staff engagement and work-life balance by considering individual preferences.
- Offers scenario simulation capabilities to assess changes without impacting live schedules.
- Provides a mobile app for staff to manage preferences, apply for leave, and view schedules.
Limitations
- Paid service, with pricing around £10 or NZ$20 per person per month for AI-optimized rostering.
- The initial setup and clarification of rules can be challenging as staff adapt to a new methodology.
- Some users on Reddit express general suspicion about AI-assisted rostering services and advise caution with personal data.
- One Reddit user noted that the app can be slow during peak hours.
- Limited information available from independent tech reviewers, G2, and Capterra specifically for RosterLab (some G2/Capterra results were for general 'Roster' or 'Rosterfy' software, not RosterLab).
Based on reviews from: GetApp, YouTube, University of Auckland, RosterLab Case Studies, Apple App Store, Google Play Store, Reddit, NZ Entrepreneur Magazine
Last updated: 2026-09-22
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RosterLab: Overview for Team Members
RosterLab

