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features
design
support

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Write a Review

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

Our software products are crafted for simplicity and quick comprehension. User-friendly interfaces, developed in collaboration with Oncologists, are designed to maximize efficiency and save valuable time. We implement robust systems aimed at improving patient safety while introducing innovative modules that push the boundaries of research. Automation is at the heart of our solutions, facilitating everything from chemotherapy order planning to staff management. We provide a thorough solution tailored for cancer centers, optimizing the Oncology workflow seamlessly. With our platform, generating accurate chemotherapy orders is a swift and uncomplicated process. Our extensive protocol library boasts over 1000 regularly updated protocols. The system automatically calculates and confirms drug doses and infusion rates while being rigorously tested and CE marked for quality assurance. All doses are verified twice, and checks for drug-drug and drug-allergy interactions are included. Patient-drug matching is enhanced through QR coded labels, significantly reducing medication errors. Users can conveniently view the active chemotherapy order, patient diagnosis and stage, the latest lab results, and the chemotherapy flowsheet all on a single screen, ensuring a comprehensive overview at a glance. This streamlined approach promotes efficiency and safety in Oncology practice.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$99 per month
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

AarogyaAI

Country

India

Website

aarogya.ai/

Vendor Details

Company Name

Altai Oncology

Country

United States

Website

altaioncology.com

Product Features

Product Features

Medical Practice Management

Claims Management No 
E-Prescribing Yes 
EMR / EHR Yes 
HIPAA Compliant No 
Insurance Eligibility Verification No 
Inventory Management Yes 
Multi-Office No 
Multi-Physician Yes 
Patient Billing Yes 
Patient Portal No 
Patient Records Yes 
Patient Registration Yes 
Patient Scheduling No 
Physician Scheduling No 

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