Compare Access Bed Control vs. FutureFlow Rx

Efficient management of hospital beds hinges on continuous visibility of both patients and bed availability, along with effective collaboration among various staff teams. Many mid-sized hospitals, however, still rely on manual processes, which can result in significant losses of bed days annually. Access Bed Control (ABC) offers a comprehensive, real-time portal that empowers hospital personnel to oversee all bed-related requirements seamlessly. By eliminating the need for interdepartmental phone calls, ABC centralizes crucial information that both patient access teams and the admitting department require to make informed placement choices. It gathers essential data regarding patients' clinical attributes and bed requirements, which can be sourced from the hospital's information system or entered manually. This data encompasses a range of factors, including diagnosis, required medical service, level of care, isolation precautions, telemetry needs, fall risk management, proximity to nursing stations, observation requirements, bariatric considerations, and behavioral health issues. The system is designed to accommodate all types of admissions, including pre-admissions and transfers, ensuring a streamlined process for patient management. By implementing Access Bed Control, hospitals can enhance their operational efficiency and improve patient care outcomes significantly.

Evaluate reopening strategies to guarantee optimal staffing, PPE, and additional resources are in place. Forecast patient numbers for each hospital or unit within a flexible timeframe. Accurately monitor and predict bed availability. Anticipate emergency department and post-anesthesia care unit holds over varying timeframes. Capture real-time data to anticipate capacity for each unit and service. Reduce the number of canceled surgeries by providing early alerts about significant increases in patient census. Analyze and forecast off-service placements effectively. Predict and manage patient discharges efficiently. The fundamental type of analytics serves to distill extensive data into smaller, more practical insights. Descriptive analytics aims to provide an overview of past events, while diagnostic analytics delves deeper to uncover the reasons behind those events. Conventional management engineering methods are generally sufficient for performing this level of analysis; however, predictive analytics represents a more advanced approach that helps organizations to proactively address future challenges. This progression from descriptive to diagnostic, and finally to predictive analytics, enables healthcare facilities to enhance their operational efficiency and improve patient care outcomes.