RosterLab utilizes AI and operations research algorithms to automate the rostering process for healthcare organizations, generating optimized staff schedules in minutes while ensuring compliance with contractual and regulatory requirements. This technology significantly reduces rostering time from days to hours, allowing healthcare providers to focus more on patient care and operational efficiency.
Funding
$2.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.


MGFounders
Product
Problem
Healthcare organizations face significant challenges in creating staff schedules that meet patient needs, comply with regulations, and accommodate employee preferences. Manual rostering processes are time-consuming, often taking days to complete, and can lead to inefficiencies, compliance issues, and staff dissatisfaction.
Solution
RosterLab offers an AI-powered rostering solution that automates the creation of optimized staff schedules for healthcare organizations. By leveraging operations research algorithms, the platform generates rosters in minutes, considering factors such as employee requests, union requirements, skill mix, and staffing coverage. The system ensures compliance with contractual and regulatory requirements while reducing the administrative burden on rostering managers, allowing them to focus on patient care and operational efficiency. RosterLab's dynamic re-rostering capabilities enable quick adaptation to unexpected changes, ensuring departments remain fully operational.
Target Audience
RosterLab primarily targets healthcare organizations, including hospitals, ICUs, EDs, aged care facilities, and radiology departments, that require efficient and compliant staff scheduling.
Features
- AI-driven roster generation that considers employee preferences, union rules, skill mix, and staffing needs.
- Natural-language rules engine for setting complex and precise rostering rules and staffing coverage requirements.
- Roster simulation to test the feasibility of changes and ensure adequate staffing levels.
- Employee app for submitting leave and preference requests with admin approval workflows.
- Interactive roster maker for reviewing and modifying AI-generated rosters with real-time feedback.
- Automated open shift management to quickly identify and fill staffing gaps.
- Integration with payroll systems via modern API standards.
- Real-time sharing of rosters with staff and other departments.