Compare GYANT vs. Seegnal

Enable patients to seamlessly navigate their digital healthcare experiences. GYANT's AI-driven virtual assistant alleviates the burden on clinical staff and reduces operational costs while enhancing patient outcomes and satisfaction levels. We collaborate with hospitals, healthcare systems, and integrated delivery networks to implement our adaptable and tailored technology across various platforms, including websites, mobile applications, and patient portals. By guiding patients swiftly to both digital and in-person care options, this AI-enhanced solution works harmoniously with medical record systems and features advanced natural language processing capabilities. It not only offers educational resources but also provides a virtual triage system to evaluate risk, efficiently directing triaged patients to suitable telehealth services, nurse lines, or physical locations for necessary testing and treatment. Utilizing standardized medical protocols alongside our unique natural language processing framework, this innovative approach effectively gathers patient history, performs a review of systems, and automatically completes patient charts, ultimately contributing to the reduction of physician burnout and allowing healthcare professionals to focus more on patient care. Through this integration of technology, we aim to redefine the patient experience in healthcare settings.

An intuitive user interface designed for real-time use at the point of care enhances the prevention of Drug-Related Problems (DRPs) on a patient-specific basis. As the fourth leading cause of death in the United States, DRPs contribute to about 150,000 fatalities each year and account for 6-10% of hospital admissions. Additionally, over 20% of patients taking five or more medications are at heightened risk for severe DRPs, which also lead to billions in unnecessary healthcare costs. Each month, approximately 4.5 million Americans find themselves in emergency rooms due to DRPs. The platform boasts the broadest data integration, with 50% more exclusive information and the capability for multi-source synchronization. Utilizing AI and machine learning, it tailors patient-specific insights in real time, factoring in elements such as lab results, estimated glomerular filtration rate (eGFR), genetics, nutrition, and over-the-counter medications. Its groundbreaking accuracy stands at an impressive 98% for both specificity and sensitivity, while minimizing alert fatigue with only 6% of alerts compared to traditional systems. Furthermore, the patented visualization technology at the point of care allows for detection, prioritization, and resolution within a rapid timeframe of just 5 to 10 seconds, ensuring timely and effective patient care. This innovative approach not only mitigates risks associated with DRPs but also enhances overall healthcare efficiency.