Patient Journey Optimization & Clinical Support

Healthcare systems often suffer from fragmented patient journeys, overwhelming administrative burdens, and a lack of real-time, personalized clinical insights. This leads to long wait times, administrative errors, physician burnout, and suboptimal patient outcomes.

ZeroStone develops sophisticated agentic AI systems that provide intelligent orchestration across the entire patient journey, from initial intake to post-care follow-up. These autonomous agents streamline administrative tasks, personalize patient engagement, offer dynamic clinical decision support, and ensure optimal resource allocation, augmenting both administrative and clinical staff.

How It Works

• Intake & Triage Agents: Guide patients through pre-appointment processes, collect relevant information, and intelligently triage cases to the most appropriate care provider or service.
• Care Coordination Agents: Automate scheduling, send reminders, track adherence to care plans, and facilitate communication between patients and various care team members.
• Clinical Support Agents: Provide real-time, evidence-based decision support to clinicians by analyzing patient data against vast medical knowledge bases.
• Resource Allocation Agents: Optimize hospital bed assignments, operating room schedules, and staff deployment based on patient needs and predictive models.

Features

• Automated Patient Intake & Triage:** AI agents guide patients through a seamless pre-visit process, intelligent data collection, and smart routing.
• Personalized Care Pathway Management:** Autonomous agents create and adapt individual care plans, managing appointments, medications, and follow-ups.
• Dynamic Clinical Decision Support:** Agents provide real-time, context-aware recommendations and insights to clinicians based on patient data and medical literature.
• Optimized Resource Allocation:** Agents intelligently manage hospital capacity, staff schedules, and equipment utilization for peak efficiency.

Impact Points

• Reduce patient wait times and administrative overhead by 25-40%.
• Improve patient adherence to care plans and overall satisfaction.
• Enhance diagnostic accuracy and treatment efficacy through augmented clinical decisions.
• Free up medical professionals to focus on direct patient care and complex cases.