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Average Ratings 0 Ratings
Description
Falkonry transforms data from the physical world into actionable information through advanced AI-driven visibility and insights. By enabling continuous monitoring of all assets and processes within your facility, it ensures that human focus is directed toward significant signals. Users gain immediate insights into both established and emerging reliability and quality concerns through a comprehensive exploration and explanation of various events. The platform efficiently navigates extensive data sets to resolve incidents and systemic challenges without the need for extensive training or setup time. With its Predictive Maintenance features, Falkonry enhances uptime and productivity in vertical casting and hot rolling operations. Additionally, its Continuous Process Monitoring capabilities improve production efficiency and product quality in processes involving lyophilizers and isolators. Through Condition-based Maintenance Plus, users can achieve success by detecting adverse conditions and anomalies early on. The patented machine learning core delivers real-time, actionable insights accompanied by explanations, empowering informed decision-making. Ultimately, Falkonry not only streamlines operational processes but also supports organizations in optimizing their overall performance and reliability.
Description
Preventive medicine represents the next frontier in healthcare. Our mission is to assist healthcare providers in identifying and addressing high-risk patients effectively, thereby ensuring patient safety. This proactive approach aims to reduce the incidence of Adverse Drug Reactions (ADRs) within healthcare facilities, where studies show that 5%-10% of hospitalized patients experience ADRs, leading to increased risks, prolonged hospital stays, and financial losses due to denied reimbursements for extra days and procedures. Notably, these adverse events are avoidable. We collaborate with Accountable Care Organizations (ACOs), Health Maintenance Organizations (HMOs), and payers to minimize unnecessary emergency room visits and hospitalizations, particularly focusing on the elderly population, as data indicate that 15%-30% of ER visits for patients aged 65 and older are attributed to ADRs, frequently resulting in hospital admissions. These preventable occurrences highlight the importance of our work. Our approach is founded on advanced scientific principles that integrate multidisciplinary research. Our technology leverages cutting-edge medical research alongside innovative data science, creating a robust platform that leads to improved patient outcomes and enhances overall healthcare efficiency.
API Access
Has API
API Access
Has API
Integrations
APERIO DataWise
AWS Marketplace
PubNub
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
Falkonry
Founded
2012
Country
United States
Website
falkonry.com
Vendor Details
Company Name
mydimed
Country
Israel
Website
www.mydimed.com
Product Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Preventive Maintenance
Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management
Product Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis