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

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 designed primarily for healthcare organizations and other industries with complex scheduling needs. It aims to streamline the creation of compliant schedules, balance staff preferences with operational requirements, and reduce administrative workload. The platform offers features like automatic schedule generation, mobile app for staff preferences and shift swaps, and scenario simulation.

Overall: Positive

Strengths

  • Streamlines complex staff scheduling with AI, reducing administrative time significantly (e.g., from days to hours).
  • Balances workloads, staff preferences, and compliance requirements automatically.
  • Increases staff engagement and wellbeing by offering personalized scheduling and flexibility.
  • Facilitates easy submission of leave requests and preferences through a mobile application.
  • Enables efficient management of shift swaps and open shifts.
  • Offers scenario simulation capabilities for managers to test hypothetical roster changes.

Limitations

  • Some users desire more transparency and explainable AI features to understand why certain shift decisions are made.
  • Unmet requests can lead to frustration among staff if reasons are not clearly communicated.
  • The system may require initial setup and rule definition, which can take time.
  • The mobile app is primarily for employees, with schedulers needing to use a tablet or laptop for full functionality.
  • Pricing is per user per month, which might be a consideration for larger organizations.

Based on reviews from: GetApp, G2, University of Auckland, Reddit, Capterra, SoftwareAdvice, RosterLab (official site), App Store, Google Play

Last updated: 2026-09-22

Videos

News, demos, and interviews about RosterLab.

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Press & Coverage

RosterLab Newsroom
HealthX and RosterLab Partner on Initial Pilot of AI-Powered Healthcare Scheduling Across New Zealand
RosterLab is partnering with HealthX, Health New Zealand's digital innovation program, to pilot AI-powered healthcare scheduling across New Zealand health services, aiming to improve schedule quality, clinician well-being, and reduce administrative workload.
2026-07
University of Auckland
The hidden healthcare problem RosterLab is trying to solve
University of Auckland spin-out RosterLab is using AI to address complex healthcare workforce challenges, with a new Health New Zealand contract bringing its technology back to where its research began.
2026-09
RosterLab Newsroom
Western Australia's Oldest Tertiary Hospital Expands Partnership with RosterLab Following Successful First Year
Royal Perth Hospital expanded its partnership with RosterLab, adopting AI-powered scheduling in eight additional departments after a successful first year, improving workforce efficiency and clinician well-being.
2026-05
RosterLab
Building Trust in AI Rostering for Healthcare: Improving fairness, staff perceptions and adoption
This article discusses the findings from a simulated pilot of RosterLab's AI self-rostering system in a New Zealand medical imaging department, exploring how AI can manage complex shift rosters and support work-life balance.
2026-02
University of Auckland
RosterLab levels up support for healthcare workers - University of Auckland
RosterLab, a startup from the University of Auckland, secured $1.75M in seed funding to expand its AI-driven rostering solutions for healthcare, aiming to improve efficiency and staff well-being in hospitals across New Zealand and Australia.
2024-11
eHealthNews.nz
Whanganui Radiography Department Embraces RosterLab's AI-Driven Rostering Solution
The Whanganui radiography department adopted RosterLab's automated rostering software after a research project showed its ability to meet shift preferences, union requirements, and staffing levels, while reducing administrative burden.
2024-06
RosterLab Newsroom
Government agency chooses RosterLab to help streamline staff schedules
RosterLab partnered with a government agency in New South Wales to implement an AI-driven scheduling system, aiming to improve fairness, efficiency, and operational oversight for its legal workforce.
2025-05
RosterLab
AI Rostering Trial Boosts Radiographer Wellbeing
A real-world pilot study in New Zealand medical imaging departments suggests that AI-driven self-rostering using RosterLab can enhance radiographer autonomy, fairness, and work-life balance, while potentially reducing absenteeism.
2025-11

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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