RosterLab
Contact for pricing
Regulatory Status Disclosed
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
Scheduling Optimization
RosterLab uses AI and mathematical optimization to generate complex staff schedules in minutes, balancing staffing requirements, employee skills, preferences, and compliance rules. It can reduce scheduling time significantly, from days to hours. The system also supports dynamic re-rostering for last-minute changes like sick leave, and scenario planning to test the feasibility of different staffing models.
Staff Management Features
The platform includes features for employee scheduling, shift scheduling, availability management, and vacation/leave tracking. Employees can submit preferences and leave requests via a mobile app, and the system facilitates shift swapping and open shift management. It also provides an employee database and management tools.
Multi-Location Support
RosterLab is designed to coordinate scheduling across multiple locations and departments, ensuring proper coverage and skill allocation across various sites and roles.
Quality Metrics Tracking
The software tracks dynamic statistics such as hours worked, shift distribution, staffing levels, and skill mix. It also monitors shift preference fulfillment rates, voluntary overtime acceptance, and can provide insights into staff satisfaction and engagement.
Compliance Reporting
RosterLab automatically enforces a wide range of rules, including contractual obligations, union agreements, labor laws (like FLSA, FMLA, OSHA), minimum rest periods, maximum consecutive shifts, and skill mix requirements. It generates compliant schedules from the start, rather than just flagging violations afterward.
Physician Tip
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 — Contact for pricing |
| Deployment | Cloud-based |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status | Not applicable AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Critical Care, Emergency Medicine, Hospital Medicine |
What the Web Says
RosterLab is generally perceived as a valuable tool for healthcare professionals, particularly physicians, for managing on-call schedules and shift rotations. Reviewers highlight its user-friendly interface and ability to streamline a complex process, though some minor issues with customization and integration have been noted.
Overall: PositiveStrengths
- Intuitive and easy-to-use interface for schedule creation
- Significantly reduces time spent on manual scheduling
- Effective for managing complex on-call rotations and shift swaps
- Improves communication and transparency regarding schedules
- Accessible from multiple devices (web, mobile)
- Positive impact on work-life balance for physicians
Limitations
- Limited customization options for specific departmental needs
- Some users desire more advanced reporting features
- Potential for a learning curve for less tech-savvy users
- Integration with existing hospital systems could be smoother
- Pricing model might be a concern for smaller practices
- Occasional minor bugs or glitches reported
Based on reviews from: G2, Capterra, Reddit (various healthcare-related subreddits), Healthcare IT News (mentions/discussions), Physician forums/blogs
Last updated: 2026-06-23
Ratings & Reviews
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Press & Coverage
University of Auckland
RosterLab levels up support for healthcare workers - University of Auckland
RosterLab, an AI-driven rostering solution for healthcare, secured $1.75M in seed funding to expand its operations in New Zealand, Australia, and Singapore. The platform aims to improve healthcare efficiency and staff well-being by balancing complex variables like union rules, employee preferences, and operational needs.
2024-11
University of Auckland
AI start-up RosterLab showcases University innovation ecosystem - University of Auckland
RosterLab, an AI start-up spun out of the University of Auckland, is addressing healthcare's rostering challenges with cutting-edge AI technology. The company recently completed a $1.75M seed funding round and is expanding into domestic and overseas clinical markets, as well as adjacent non-clinical markets.
2025-03
eHealthNews.nz
Royal Perth Hospital Partners with RosterLab for Smarter Rosters
Royal Perth Hospital has partnered with RosterLab to implement an AI-driven rostering solution for its Acute Medical Unit and Intensive Care Unit. This initiative aims to enhance workforce flexibility, support clinical teams, and improve continuity of patient care by automating compliance and generating 13-week rosters in under 30 minutes.
2025-04
eHealthNews.nz
Whanganui Radiography Department Embraces RosterLab's AI-Driven Rostering Solution
The Whanganui radiography department has adopted RosterLab's AI-driven rostering solution to reduce administrative burdens and improve clinical safety. A self-rostering research project demonstrated that the system successfully met shift preferences and union requirements, leading to its full adoption.
2024-06
RosterLab
Government agency chooses RosterLab to help streamline staff schedules
RosterLab has partnered with a government agency in New South Wales to implement an optimized rostering system for its legal workforce. The AI-driven system aims to improve fairness, efficiency, and operational oversight by automatically rebalancing workloads and facilitating shift adjustments.
2025-05
NZ Entrepreneur Magazine
Interview: Sunny Feng, RosterLab - NZ Entrepreneur Magazine
Sunny Feng, co-founder of RosterLab, discusses how their AI-powered platform simplifies staff rostering for healthcare teams, saving time, reducing fatigue, and ensuring fair schedules. RosterLab emerged from PhD research at the University of Auckland and aims to optimize complex shift scheduling.
2025-10
RosterLab
Building Trust in AI Rostering for Healthcare: Improving fairness, staff perceptions and adoption - RosterLab
A 2023 simulated pilot of RosterLab's AI self-rostering system in a New Zealand medical imaging department explored its impact on complex shift rosters and work-life balance. The research highlighted the importance of staff perceptions and work culture for AI adoption in healthcare, emphasizing the need for transparent decision logic.
2026-02
NZ Entrepreneur Magazine
RosterLab Brings Fairness and Sanity Back to Shift Work - NZ Entrepreneur Magazine
RosterLab is transforming staff rostering in hospitals and complex teams globally with its AI-driven solution. The platform automates scheduling, considering staffing rules, contracts, and employee preferences, leading to fairer schedules and significant time savings for administrators.
2025-11
Videos
Product demos, reviews, and walkthroughs for RosterLab.
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Frequently Asked Questions
RosterLab automates the creation of complex physician schedules, taking into account physician preferences, availability, and various practice rules. This significantly reduces the time spent on manual scheduling and minimizes conflicts, freeing up administrative staff and physicians to focus on patient care.
Yes, RosterLab is designed with compliance in mind. It can be configured to adhere to specific healthcare regulations, including resident duty hour restrictions (e.g., ACGME) and labor laws concerning work hours and breaks, helping to ensure your practice remains compliant and avoids potential penalties.
RosterLab typically offers subscription-based pricing models, which may vary depending on the number of physicians, the complexity of scheduling needs, and the specific features required. It's best to contact RosterLab directly for a customized quote tailored to your practice's unique requirements.
While RosterLab is powerful, potential limitations could include integration capabilities with highly specialized EMR systems or very unique, niche scheduling demands that go beyond its configurable rules. Your practice might consider alternatives if you require extremely granular, real-time adjustments across multiple, disparate healthcare systems or highly specialized on-call management features not covered by RosterLab.
RosterLab differentiates itself from manual methods by significantly reducing errors, saving time, and improving fairness in scheduling. Compared to other software, its key differentiators often lie in its user-friendliness, robust optimization algorithms, and ability to customize rules for diverse practice settings.
RosterLab often offers integration capabilities with various EMR and practice management systems to streamline data flow and improve operational efficiency. The extent of integration can vary, so it's advisable to confirm compatibility with your specific systems directly with RosterLab.
RosterLab typically provides comprehensive support and training resources, which may include online tutorials, user manuals, dedicated customer support, and sometimes even on-site training. This ensures that both physicians and administrative staff can effectively utilize the software.
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| Last Verified: 2026-06-23 | First Added: 2026-06-23