Patient Rehabilitation
with Safe AI
Questa enables safe Patient Doctor communication with AI
Revolutionizing Post Hospital Aftercare
Problem: Gaps in Post-Hospital Rehabilitation Care
atients discharged from hospitals often face a critical challenge—continued rehabilitation and recovery at home without sufficient support. Many experience a disconnect between inpatient care and outpatient recovery, leading to complications, slower healing, and in some cases, readmission. Rehabilitation providers are frequently overwhelmed with high patient loads and administrative burdens, limiting the time they can spend on personalized care. These inefficiencies create both human and economic costs, especially for aging populations and those with chronic conditions requiring long-term care coordination.
Problem: Therapist Burnout and Administrative Overload
While therapists play a vital role in patient recovery, their time is increasingly consumed by paperwork, documentation, scheduling, and data entry—tasks that take them away from direct patient care. This administrative overload not only contributes to burnout but also reduces the quality of service patients receive. The manual nature of traditional workflows makes it difficult to scale rehabilitation services, monitor patient progress effectively, or respond quickly to issues once patients leave the clinical environment.
Solution: Privacy-First Hybrid Human-AI Rehabilitation Models
Platforms like De-Rena and Fresa Health are changing the landscape of post-hospital rehabilitation by combining human expertise with AI-driven assistance. These hybrid models empower therapists with AI tools that automate routine tasks and provide intelligent insights into patient progress. By reducing administrative friction, therapists can focus more on therapeutic interventions, while patients benefit from consistent, adaptive support beyond hospital walls.
Solution: Personalized Recovery, Enabled by Technology
Fresa Health integrates AI algorithms that monitor patient data, recommend therapy adjustments, and flag potential issues early. These platforms also streamline communication between therapists and patients, allowing for remote check-ins, feedback, and progress tracking. Therapists retain full control over care decisions, while the AI acts as a supportive assistant—handling paperwork, suggesting tailored exercises, and summarizing patient reports. This ensures each patient receives timely, data-driven, and personalized care.
Results: Improved Patient Outcomes and Therapist Efficiency
Early results from implementations of De-Rena and Fresa Health show significant improvements in both patient outcomes and therapist efficiency. Patients experience smoother transitions from hospital to home, maintain better adherence to therapy plans, and recover faster with continuous support. Therapists report reduced administrative workload and greater job satisfaction, with more time dedicated to clinical care. These improvements contribute to lower readmission rates and stronger patient-provider relationships.
