CareAlign offers an AI-powered nurse scheduling platform that optimizes staffing and provides personalized shift recommendations. It helps healthcare organizations reduce administrative burden, improve nurse retention, and lower temporary staffing costs by streamlining daily work management and enabling shift trading.
Funding
Funding not disclosed
Founders
Product
Problem
Nurse scheduling is often a manual, time-consuming process relying on outdated systems that require multiple steps for even basic tasks. This leads to workarounds, operational bottlenecks, and heavy administrative burdens for both nurses and nurse managers. Inefficient scheduling systems can also lead to increased costs due to reliance on staffing agencies and high nurse turnover rates.
Solution
vflok offers Swift, an AI-powered copilot that streamlines nurse scheduling and change management by automating complex tasks and eliminating redundant workflows. Swift integrates with existing scheduling systems via SSO and uses a ChatGPT interface connected to proprietary machine learning models to understand nurse requests and execute schedule changes in near real-time. The platform helps healthcare systems reduce administrative overhead, minimize reliance on expensive agency staffing, and improve nurse retention by optimizing schedules and accommodating personal needs. By expanding nurses' internal networks for shift swaps and automating the sourcing of internal resources, Swift empowers nurse managers to focus on patient care and clinical team support.
Target Audience
The primary target audience includes hospitals, healthcare systems, and nurse managers seeking to reduce administrative burden, optimize staffing, and improve nurse retention.
Features
- AI-powered chatbot interface accessible via SMS or SSO integration within existing web applications
- Automated shift swapping and conflict resolution based on nurse preferences and hospital needs
- Real-time validation, execution, and recording of schedule transactions within any scheduling system
- Proprietary machine learning models connected to customer workforce data for personalized recommendations
- Secure, HIPAA-compliant platform ensuring data privacy and protection
- Reporting and analytics dashboard for monitoring staffing levels, costs, and nurse satisfaction