What you should know:
– Basis of the planthe first AI-native employee management platform designed specifically for healthcare, officially launched and secured $2.1 million in seed funding led by Y Combinator, local globeand prominent angels.
– The company will use the funds to expand to more medium and large clinics across the country and hire additional software engineers.
Automating complex workforce management with AI
Employee management in healthcare is exceptionally complex, requiring prediction of staffing needs, compatible scheduling, and cross-state leave management – tasks that have traditionally been managed manually by large teams. Planbase’s native AI solution fully automates employee management, from onboarding and credential tracking to patient demand forecasting and staff scheduling.
Co-founder Joe Shearman highlighted the main advantage of the platform: “Today, clinics are overwhelmed with all the complex tasks that workforce management requires… This set of tasks related to scheduling and payment, as well as patient volume predictions, are ideal for AI to automate, so that doctors and nurses can spend more time caring for patients, and clinics reduce the risks of costly human errors.”
Proven ROI and efficiency gains
Planbase has already secured several customers managing thousands of providers and more than 30 million patients. The platform’s ability to automate these complex tasks saves large clinics hundreds (or even thousands) of hours per month, dramatically reducing costs and better utilizing busy, understaffed teams.
OpenLoop, a fast-growing telehealth platform and Planbase customer, reported significant results: “We have already increased patient volume by 40% and reduced scheduling time by 70% across our entire provider operations team,” said Noah Van Eldik, practice manager at OpenLoop.
Core AI Features for Simplified Workflows
Planbase offers three core AI features designed to simplify complex employee management workflows:
- Interactive interface: Users can ask natural language queries (for example, “How many nurses and doctors do I need to schedule for the Friday after Thanksgiving?”) to create custom user interfaces or get immediate answers unique to their clinic.
- Predictive analysis: The platform uses predictive analytics to forecast patient visit volume, taking into account factors such as seasonal trends (e.g. flu surges).
- Agent Workflows: AI agents autonomously handle tasks such as verifying provider licenses across states, flagging expiring credentials, or creating compliant staffing plans.
