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ease
features
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support

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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

PeriWatch Vigilance serves as an automated early warning system for maternal-fetal health, aiming to improve clinical workflow, ensure consistent care, and support prompt interventions during labor and delivery. Being the sole AI-driven electronic fetal monitoring analysis solution available for commercial use in the United States, it persistently assesses real-time data, alerting healthcare professionals when maternal vital signs, fetal heart rates, or labor progression surpass predefined safety thresholds set by medical institutions. This system gathers essential information into a unified view for each patient, enabling clinicians to swiftly determine if a patient's condition is deteriorating. Moreover, it features a hub view that showcases a dynamic and interactive list of multiple patients across various locations, complete with color-coded alerts for immediate attention. Furthermore, PeriWatch Vigilance is designed to integrate effortlessly with current electronic fetal monitoring systems and electronic health records through ADT/HL7 interfacing, thus eliminating the need for expensive software upgrades while enhancing overall patient care management. This innovative approach not only optimizes monitoring capabilities but also reinforces collaboration among the healthcare team during critical moments.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

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

PeriGen

Founded

1995

Country

United States

Website

perigen.com/periwatch-vigilance/

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

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