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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
Over 70% of healthcare information is contained within clinical documents, including reports, patient charts, clinician notes, and discharge summaries, allowing our specialized Natural Language Processing and AI Engine to extract essential concepts, attributes, and contextual information that drive business insights, enhance billing processes, assess and categorize patient risks, calculate quality metrics, and gather patient sentiment and outcome data. By tapping into difficult-to-access or previously unused data sources, you can significantly improve your clinical research or business intelligence efforts. Our extensive database features thousands of clinical concepts, including genomic biomarkers, symptoms, side effects, and medications, enabling the identification of disease characteristics and risk factors from clinical documents to better stratify patients and elevate the standard of care. Moreover, we ensure the protection of data subjects' identities while preserving the usefulness of the data through effective document de-identification strategies. This approach not only safeguards privacy but also empowers healthcare organizations to make informed decisions based on the most comprehensive data available.
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
GenHealth.ai
Country
United States
Website
genhealth.ai/
Vendor Details
Company Name
Inspirata
Founded
2014
Country
United States
Website
www.inspirata.com/solutions/healthcare-data-analytics/
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
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