Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AarogyaAI is a software-as-a-service platform that utilizes artificial intelligence to identify drug-resistant tuberculosis (DR-TB) within hours. Our goal is to provide rapid and precise diagnoses of DR-TB, ensuring that patients receive the most effective drug combinations for their treatment without delay. Tuberculosis is responsible for more fatalities annually than AIDS, largely because the 19 available anti-TB medications do not work for all patients, leading to uncertainty among doctors regarding the appropriate treatment options. Consequently, even though tuberculosis is treatable, a delayed diagnosis of drug-resistant forms can result in patients remaining on ineffective medications for as long as seven years. By diagnosing drug-resistant tuberculosis swiftly, we enable prompt and appropriate treatment prescriptions. Patients upload a DNA sequence to our platform, and our advanced machine learning algorithm processes this data to generate a detailed report on drug susceptibility status, allowing healthcare providers to make informed decisions about treatment. This innovative approach not only enhances patient outcomes but also aims to reduce the overall burden of tuberculosis on healthcare systems.
Description
The electronic patient care report (ePCR) seamlessly integrates with the EMS dispatch information system, facilitating existing operational workflows while offering a user-friendly interface that helps guide users through the reporting process, allowing for quick completion of the PCR with every feature accessible within just two clicks. This advanced tool incorporates a robust set of validation rules that promptly identifies any incorrectly filled or missing data fields, providing immediate feedback to the user. Additionally, it includes convenient quick-entry lists for essential data such as ICD-10-AM codes, locations, healthcare facilities, and medical professionals to streamline the documentation process. The system not only assesses the patient's condition based on the input data but also recommends appropriate medications and procedures for ongoing treatment. Furthermore, real-time updates on active EMS team events are available, enhancing situational awareness and coordination among responders. This comprehensive approach significantly improves the efficiency and accuracy of patient care reporting.
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
AarogyaAI
Country
India
Website
aarogya.ai/
Vendor Details
Company Name
OpenG
Founded
2007
Country
Lithuania
Website
epcr.eu/