Compare Patient Flow Manager vs. Seegnal

A unified overview of patient flow data, integrating information from inpatient, elective, emergency, and other compatible hospital systems, facilitates near real-time insight into capacity and demand, allowing for well-informed decisions regarding patient movement. The system incorporates electronic journey boards for both departments and wards, which enhance visibility of each patient's progression from admission to discharge. It also includes clinical task and referral management functionalities, and can be accessed via desktop, mobile devices, or touch screen journey boards. Historically, various hospital departments operated on separate patient systems, which hindered communication and created silos that resulted in inefficiencies. By delivering a consolidated source of real-time patient status information, the Patient Flow Manager equips hospital staff with operational insights across the institution. Moreover, with Patient Flow Manager, hospitals can seamlessly oversee the patient journey from admission through to discharge by integrating effortlessly with their existing systems, ultimately enhancing the overall efficiency of patient care. This integration not only improves communication between departments but also fosters a more coordinated and streamlined approach to patient management.

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.