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Description
GenHealth.ai is a specialized generative AI platform designed for the healthcare sector, utilizing a unique Large Medical Model (LMM) developed from the analysis of over 100 million patient records instead of traditional natural language data. This LMM excels in interpreting medical codes and events, allowing it to accurately forecast patient outcomes, estimate costs, and model clinical pathways with significantly fewer errors compared to conventional large language models. The platform features a range of tailored applications such as Intake Automation for managing PDF routing and data extraction, a Prior Authorization Agent that automates the approval process, and G‑Mode analytics that allows users to interact with both historical and predictive population health data using natural language, all without requiring any coding expertise. Notably, this AI co-pilot has achieved an impressive 94% accuracy rate in prior authorization cases, a remarkable 120-fold enhancement in forecasting medical loss ratios, and a 110% improvement in cost predictions when compared to standard Hierarchical Condition Category (HCC) scoring methods. In addition to these advancements, GenHealth.ai is positioned to transform the healthcare landscape by facilitating more efficient and data-driven decision-making.
Description
Enhance patient engagement, streamline your operations, and boost health outcomes by leveraging Notable's automated healthcare workflows. The intricacies of administrative tasks have escalated expenses, diminished patient satisfaction, and obstructed the shift toward virtual care. Notable's AI-driven digital assistants replicate human capabilities in handling repetitive tasks across administrative, clinical, and revenue cycle processes, enabling healthcare professionals to reach and assist a greater number of patients while simultaneously cutting down on administrative costs. It is alarming that physicians devote half of their time to electronic health records (EHRs) while only a quarter is spent interacting with patients, resulting in an excessive 80% of medical records being merely copied and pasted. Furthermore, due to hurried appointments, complex medical jargon, and insufficient patient education, individuals tend to forget 40-80% of the instructions given by their doctors. With Notable, you can implement vital automation solutions right away, tailor them to fit your unique needs, or even develop your own using our fully customizable platform, ensuring that your healthcare delivery is both efficient and patient-centered. By embracing this technology, healthcare providers can ultimately create a more effective and compassionate care environment.
API Access
Has API
API Access
Has API
Integrations
EpicCare EMR
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
GenHealth.ai
Country
United States
Website
genhealth.ai/
Vendor Details
Company Name
Notable Health
Founded
2017
Country
United States
Website
www.notablehealth.com
Product Features
Population Health Management (PHM)
Analytics
Cost-of-Care Analysis
Data Storage
EMR/EHR Integration
Patient Engagement
Patient Identification
Patient Risk Stratification
Patient-Reported Outcomes
Payment Bundling
Predictive Alerts
Test & Treatment Reminders
Utilization Tracking
Product Features
Vaccine Management
Adverse Reaction Reporting
Alerts / Notifications
Appointment Reminders
Billing
Communication Tools
Dose Tracking
For Governments
Immunization Proof
Inventory Management
Predictive Analytics
Scheduling
Virtual Waiting Room