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We support the shift towards value-based healthcare by assessing a range of treatments, medications, processes, and costs, which assists hospitals, life sciences companies, and insurance providers in identifying treatment approaches that result in the best patient outcomes. Our CRCA™ P&T platform empowers P&T committees to make data-informed improvements in quality measures, including average length of stay (ALOS) and 30-day readmission rates. Moreover, our cutting-edge POP-BUILDER Rx™ solution presents comparative insights between selected groups and CRCA's vast database of real-world data, which includes over 140 million longitudinal patient records. In addition, our drug remittance dashboard thoroughly examines and reports on drug remittance details across various payer categories, with a focus on high-cost medications down to the National Drug Code (NDC) level. We also enable hospital finance teams to effectively monitor and improve service line costs, profitability, productivity, and revenue cycle performance through our detailed analytics and reporting, along with the support of our Agilum Healthcare Intelligence team. This ensures healthcare providers can make well-informed decisions that enhance their operations and patient care. By integrating these diverse resources, we create a comprehensive understanding of the complex financial and clinical environment in which healthcare providers function, ultimately aiming to improve overall healthcare delivery.
What is AarogyaAI?
AarogyaAI is an innovative software-as-a-service (SaaS) platform enhanced by artificial intelligence that can detect drug-resistant tuberculosis in just a few hours. Our goal is to streamline the diagnosis process for drug-resistant tuberculosis (DR-TB) utilizing cutting-edge AI technology, facilitating rapid and accurate treatment suggestions. Tuberculosis remains one of the top causes of death, outpacing even AIDS, largely because of the unpredictability regarding which of the 19 available anti-TB medications will work for individual patients. This uncertainty can result in extended periods—sometimes lasting as long as seven years—during which patients endure ineffective treatments, even though the disease is treatable. By delivering results within hours, AarogyaAI guarantees that patients receive the most appropriate drug combinations for their specific needs without unnecessary wait times. The methodology involves submitting a patient's DNA sequence to our platform, where our sophisticated machine learning algorithms conduct an analysis and produce a comprehensive report on drug susceptibility. This streamlined approach not only conserves time but also enhances health outcomes for individuals battling drug-resistant tuberculosis. With its transformative approach, AarogyaAI is redefining how TB diagnostics and treatments are administered, demonstrating a significant leap forward in the fight against this global health challenge. In essence, our platform exemplifies the intersection of technology and healthcare, paving the way for more effective solutions in managing complex diseases.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Agilum
Date Founded
2005
Company Location
United States
Company Website
agilum.com
Company Facts
Organization Name
AarogyaAI
Company Location
India
Company Website
aarogya.ai/