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Description
Real-time access to comprehensive bed status information enables healthcare facilities to efficiently turnover beds and promptly assign patients to the appropriate rooms. Operating through the cloud, Bed Control is a fully mobile application that can be accessed via any device with internet capability, including smartphones, tablets, laptops, and desktops, which allows for real-time management of patient placements both on-site and remotely. Users can monitor the status of beds instantly from the moment a patient is discharged until the bed is clean, all through mobile access. EVS Managers benefit from a specialized EVS Bed Board that displays all current and pending discharges alongside available staff members. The application features integrated BedWatch alerts and automated dispatching, which help eliminate the need for phone communications between the Environmental Services (EVS) and Nursing teams regarding patient discharges. Regardless of whether you are stationed at a conventional workstation or conducting rounds with a tablet, BedWatch is designed to complement your workflow seamlessly, enhancing efficiency and collaboration within the healthcare environment. This innovative approach not only streamlines operations but also significantly improves patient care by reducing wait times for room availability.
Description
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.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Hospital Housekeeping Systems
Founded
2010
Country
United States
Website
www.bedwatch.com
Vendor Details
Company Name
FutureFlowRx
Country
United States
Website
futureflowrx.com
Product Features
Patient Management
Admissions Management
Bed Management
Discharge Management
Historical Reporting
Patient Flow Management
Patient Location Tracking
Patient Monitoring
Real Time Reporting
Waiting Time Tracking
Product Features
Patient Management
Admissions Management
Bed Management
Discharge Management
Historical Reporting
Patient Flow Management
Patient Location Tracking
Patient Monitoring
Real Time Reporting
Waiting Time Tracking