Optimize operating room and procedural resource management with AI-driven insights. Predict volumes weeks in advance. Adjust staffing based on predicted demand. Identify utilization gaps and improve throughput.
by Orlogic, Inc.★ 5.01 ratingsMedicalFreeData updated 2026-09-06
Allows healthcare professionals to manage urgent requests and route them to available physicians. It supports data management for physicians and facilitates communication within the Rapid Response Center team.
Track cycles with detailed cycle analysis, symptom logging, and fertility window predictions. Monitor pregnancy with weekly updates, AI assistance, and due date calculations. Record baby feeding, sleep patterns, and growth milestones.
Manage staffing for skilled nursing facilities by filling shifts instantly. Reduce costs and ensure compliance with AI-driven scheduling. Access real-time labor data and track employee performance metrics.
The app provides access to critical information about emergency departments, public health clinics, shelters, and medical supplies. Users can manage incidents, events, and track resources like pharmaceuticals and ventilators.
Study for the with practice questions, flashcards, and progress tracking. Review key topics in law enforcement and criminal justice. Take mock tests and receive instant feedback. Access study materials anytime on mobile devices.
The app provides clinicians with mobile access to electronic medical records on the iPad. It allows users to check patient schedules, view charts and notes, ePrescribe, and update EMR data.
Track patient vitals in real time. Document cases with customizable templates. Set alerts for medication dosages and critical thresholds. Generate compliance reports and audit trails.
Manage medical records, schedule appointments, and bill patients remotely. Conduct online consultations and access records anytime. Handle multi-clinic operations and maintain electronic health records.
Predict individual response to spironolactone therapy in HFpEF patients using a gradient-boosting model. Input patient data to estimate treatment effect. Provides research-based predictions for clinical validation.