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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

Ubie Business is an innovative platform that leverages artificial intelligence to enhance patient support by automating the clinical intake process, effectively routing patients, and managing scheduling around the clock through both voice and chat interfaces. Designed specifically for healthcare providers aiming to engage with patients earlier in their care journey, Ubie streamlines the transition from presenting symptoms to identifying the appropriate next steps while alleviating the administrative workload for healthcare staff. The platform facilitates clinical intake by evaluating patient symptoms in advance, establishing urgency or necessary routing prior to the patient's arrival, and gathering pertinent information only when essential, thus minimizing redundant paperwork. By moving away from disjointed phone calls, outdated forms, and manual triage methods, Ubie employs AI to efficiently collect symptom data, organize patient responses, and enhance routing efficiency even before patients arrive at the clinic. Additionally, its appointment scheduling features ensure that patients are directed to suitable care options, thereby smoothing the process between symptom evaluation, care navigation, and booking appointments, ultimately leading to a more seamless healthcare experience. This holistic approach not only improves patient engagement but also optimizes operational efficiency for healthcare organizations.

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

Ubie

Founded

2017

Country

United States

Website

business.ubiehealth.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

Alternatives

Alternatives

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