Products

RosterLab
RosterLab
Practice Management & Scheduling
RosterLab is an AI scheduling tool specifically for physicians that creates compliant schedules, reduces administrative burden, and optimizes shifts while considering staff preferences.

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About RosterLab

RosterLab is a healthcare AI company that specializes in automating and optimizing staff rostering for complex shift-based environments. Their platform utilizes advanced AI and operations research to generate compliant schedules in minutes, a process that traditionally takes days. The system considers a multitude of factors, including contract obligations, union compliance, skill mix requirements, staffing coverage parameters, and individual staff preferences and leave requests. This comprehensive approach aims to ensure optimal staffing levels, fairness, and clinical safety, while also promoting better work-life balance for healthcare professionals.

For physicians, RosterLab’s solution means significantly less administrative burden associated with scheduling, freeing up valuable time to focus on patient care. The AI-driven system can dynamically re-roster in response to last-minute changes like sick calls or emergencies, minimizing disruption. It also allows for personalized scheduling, empowering staff to plan their lives around safe work schedules without fear of creating challenges for manual roster makers. By optimizing staffing resources and ensuring compliance with various regulations and union agreements, RosterLab aims to improve staff satisfaction and retention, ultimately contributing to enhanced patient care.

Focus Areas

AI staff scheduling workforce optimization healthcare rostering physician scheduling nurse scheduling compliance management shift management employee well-being

Business Intelligence

Key InvestorsMovac, Pacific Channel, Founder Catalyst, Auckland UniServices, Matu, University of Auckland Inventor's Fund, Quidnet Ventures
PartnershipsWhanganui Radiography, Royal Perth Hospital, Department of Health Western Australia, NSW South Eastern, Hawkes Bay, Royal Flying Doctor Service
TechnologyAI and operations research-based optimization algorithms, cloud-native, mobile app for staff

What Physicians Need to Know

AI-Powered Scheduling
RosterLab utilizes cutting-edge AI and operations research to automatically generate optimized staff schedules in minutes, a process that traditionally takes days. This AI considers hundreds of variables simultaneously, including staff availability, skills, preferences, compliance requirements, and workload demands, to create fair, balanced, and compliant rosters.
Healthcare Specialization
The company specializes in complex healthcare rostering, with solutions tailored for various departments like ICU/ED, Radiology, and Senior Care. Their technology stems from PhD research in healthcare staff rostering, making them a commercially proven operations research-based solution in this sector.
Compliance Management
RosterLab ensures 100% compliance with labor laws, union agreements, contractual obligations, and regulatory requirements (e.g., ACGME duty hour rules for physicians). The system automatically enforces rules regarding minimum rest periods, maximum hours, and skill requirements.
Employee Well-being & Fairness
The platform prioritizes employee well-being by incorporating staff preferences, leave requests, and work-life balance considerations into schedule generation. It aims to reduce burnout, improve job satisfaction, and increase staff retention through fairer and more flexible schedules.
Workforce Optimization
RosterLab optimizes workforce allocation by ensuring the right staff with the right skills are assigned to each shift, minimizing costs, improving coverage, and enabling dynamic scenario planning for efficient resource utilization.
Mobile Accessibility
Staff can submit availability and preferences, view schedules, request leave, accept open shifts, and manage shift swaps directly through a mobile app, with real-time notifications for any changes.
Dynamic Re-rostering & Scenario Simulation
The system can quickly generate re-rostering solutions for unexpected changes like sick leave or emergencies, maintaining coverage and compliance. It also allows managers to simulate different scenarios to assess the feasibility of changes without impacting live schedules.
Physician Tip

For physicians, RosterLab offers significant benefits by reducing administrative burden by up to 90%, allowing more focus on patient care. It ensures compliance with labor laws and ACGME standards, protecting training and exam time by scheduling longer days off and ensuring complete training programs. The platform automatically distributes night shifts equitably, helps pair resident physicians with attending physicians for night coverage, and manages transitions between shifts to reduce fatigue and sick leave. Physicians can submit their preferences, training needs, and exam dates via a mobile app, maintaining autonomy and flexibility over their schedules, even across multi-site commitments. The system remembers individual patterns and constraints, reducing repetitive data entry for each roster cycle.

RosterLab currently integrates with payroll systems like Trendcare, with other integrations available upon request depending on business needs. Conceptually, they have explored RPA (Robotic Process Automation) and RESTFUL API embedding for fast and cost-effective integration with existing HR platforms and for workflow automation.

Products by RosterLab

1 product in the directory

RosterLab
RosterLab
Practice Management & Scheduling
RosterLab is an AI scheduling tool specifically for physicians that creates compliant schedules, reduces administrative burden, and optimizes shifts while considering staff preferences.

What the Web Says

RosterLab is an AI-powered staff rostering software that specializes in optimizing complex schedules, particularly for healthcare organizations. It aims to reduce administrative time, improve staff satisfaction by incorporating preferences, and ensure compliance with labor laws and skill mix requirements. The platform leverages AI and operations research to generate schedules efficiently.

Overall: Mixed

Strengths

  • Automated scheduling saves significant time (e.g., from days to hours).
  • Considers complex rules, staffing requirements, and individual preferences for fair and compliant rosters.
  • Mobile app allows staff to submit preferences, apply for leave, swap shifts, and view schedules.
  • Designed for healthcare and other industries with intricate scheduling needs.
  • Offers scenario simulation capabilities to assess changes without impacting live schedules.
  • Integrates with Microsoft Teams and Zapier for broader connectivity.

Limitations

  • Limited public reviews on major platforms like G2, Glassdoor, and Capterra.
  • A Reddit user suggested caution when providing personal and company details during registration and payment.
  • The system prioritizes overall fairness and compliance, meaning individual preferences are not always guaranteed.
  • Paid service, with a Reddit user mentioning a cost of around u00a310 per person per month.
  • One Reddit user found that while the generator is decent, it still requires rules to be given and isn't fully automated.
  • The interface might take some getting used to for staff.

Based on reviews from: Capterra, RosterLab Official Website, GetApp Australia, G2, YouTube (RosterLab Channel), Reddit, SoftwareAdvice NZ, MWM

Last updated: 2026-06-23

Videos

News, demos, and interviews about RosterLab.

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Press & Coverage

RosterLab Newsroom
Western Australia's Oldest Tertiary Hospital Expands Partnership with RosterLab Following Successful First Year
Eight additional departments at a major Western Australian hospital have adopted RosterLab's AI-powered rostering solution after a successful first year, aiming to improve workforce efficiency and clinician wellbeing. This expansion signifies a growing trend in hospitals adopting innovative solutions to alleviate administrative burdens on clinicians.
2026-05
RosterLab Newsroom
Government agency chooses RosterLab to help streamline staff schedules
RosterLab has partnered with a government agency in New South Wales to implement an optimized staff scheduling system for its legal workforce, focusing on improving fairness, efficiency, and operational oversight. The AI-driven system aims to rebalance workloads, maintain fairness, and reduce administrative burden.
2025-05
RosterLab Newsroom
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 (AMU) and Intensive Care Unit (ICU), aiming to strengthen workforce flexibility and enhance continuity of patient care. The new system, implemented in March 2025, generates 13-week rosters in under 30 minutes and ensures compliance with industrial agreements.
2025-04
University of Auckland
RosterLab levels up support for healthcare workers - University of Auckland
RosterLab secured a NZ$1.75 million seed round led by Movac, with co-investments from Pacific Channel and UniServices, the University of Auckland's research and knowledge transfer company. This funding will enable the company to expand its team and accelerate its vision of delivering fully automated and optimized shift rostering to hospitals worldwide.
2024-11
Health Informatics New Zealand (eHealthNews.nz)
Whanganui Radiography Department Embraces RosterLab's AI-Driven Rostering Solution
The Whanganui radiography department has adopted RosterLab's AI-driven rostering solution after a successful self-rostering research project, significantly reducing the time spent on roster creation and improving staff autonomy and fairness. The system aims to free up clinicians' time for patient care by automating complex scheduling.
2024-06
RosterLab Newsroom
Building Trust in AI Rostering for Healthcare: Improving fairness, staff perceptions and adoption
A simulated pilot study of RosterLab's AI self-rostering system in a New Zealand medical imaging department explored how the system could manage complex shift rosters and support better work-life balance. The research highlighted the importance of explainable AI (XAI) to build trust and address staff perceptions of fairness in AI-generated rosters.
2026-02
RosterLab Newsroom
AI Rostering Trial Shows Promising Signs for Wellbeing in Radiographers
A real-world trial in New Zealand explored how RosterLab's AI-enabled rostering system could improve work-life balance, shift-swapping, and sick leave for radiographers. The study, involving 71 participants, indicated positive steps towards improving modern workforce rostering and practitioner wellbeing, though some participants desired more transparency in shift decisions.
2025-11
DigitalNZ (Unitec Research Bank)
Automating medical imaging rosters: Lessons and challenges from implementation of AI-lead self-rostering with RosterLab
This record from DigitalNZ, updated in June 2026, describes a study on the implementation of AI-led self-rostering with RosterLab in medical imaging departments, focusing on the transition from manual to AI rostering and its impacts.
2026-06

Frequently Asked Questions

RosterLab is an AI-powered staff rostering software designed to generate optimized and compliant schedules for complex healthcare environments like hospitals and aged care facilities. It works by taking into account various factors such as contract obligations, compliance rules, skill mix requirements, staff preferences, and staffing coverage needs. The AI algorithm then processes this information to create fair, safe, and flexible schedules in minutes, significantly reducing the administrative time typically spent on manual rostering.
RosterLab ensures compliance by allowing administrators to set precise rules based on contract obligations, regulatory requirements, and union agreements. The AI-powered system automatically enforces these rules, including skill mix, fairness requirements, and fatigue management, during schedule generation. It can also flag schedules that violate configured patient-to-nurse ratios, ensuring clinical safety.
For physicians and nurses, RosterLab aims to reduce administrative burden, ensure fair distribution of shifts (including night shifts), and protect time for training and personal commitments. By incorporating staff preferences and optimizing for work-life balance, it helps reduce burnout, improve job satisfaction, and potentially increase staff retention.
RosterLab offers features such as automatic schedule generation, mobile access for staff to submit preferences and leave requests, and tools for managing shift trades and open shifts. It also includes dynamic re-rostering to handle last-minute changes and scenario simulation for planning. The platform is purpose-built for healthcare and can be tailored for specific departments like ICU, ED, and Radiology.
RosterLab offers three pricing tiers, including a free 'Digital Rostering' plan for smaller teams and an 'AI Optimised Rostering' plan at $20 per person per month, which is their most popular option. An 'Enterprise Solution' with custom pricing is available for larger organizations. While traditional methods often involve manual spreadsheets and significant administrative time, RosterLab's AI aims to recover its cost within the first month through improved efficiency and reduced turnover.
RosterLab provides support through email/help desk, FAQs/forum, a knowledge base, phone support, 24/7 live representatives, and chat. It integrates with payroll systems like Trendcare, and can integrate with other HRIS platforms such as UKG, Humanforce, and Tanda upon request, allowing the HRIS to remain the system of record while RosterLab handles complex rostering.
RosterLab was founded in 2022, stemming from PhD research in schedule optimization at the University of Auckland. It secured $1.75 million in seed funding in late 2024, led by Movac, with co-investments from Pacific Channel and UniServices, indicating strong investor confidence and plans for international expansion. RosterLab has partnered with various healthcare organizations in New Zealand and Australia, including the Department of Health Western Australia, Royal Perth Hospital, and Whanganui Radiography Department.

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