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ease
features
design
support

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Description

Flax is an innovative AI solution designed specifically for skilled nursing facilities, aimed at transforming cumbersome paperwork into a source of revenue by streamlining essential tasks from referral processing to appeals management. By automating labor-intensive paperwork, Flax enables nursing teams to focus on crucial areas such as admissions, intake, and billing, ultimately enhancing efficiency. In the admissions phase, Flax quickly analyzes referrals and evaluates them based on facility-specific criteria, allowing teams to swiftly identify suitable candidates while avoiding those who do not meet financial or clinical standards. The system efficiently extracts information from various portals, highlights key patient details, and enables admissions personnel to react to referrals within minutes. During the intake process, Flax automatically fills out the MDS form by utilizing patient referrals and existing clinical documentation, extracting critical PDPM-related data to allow nurses to dedicate more time to patient care rather than paperwork. As a result, skilled nursing facilities can enhance their operational effectiveness and improve patient outcomes significantly.

Description

Manage patient triage and appointment scheduling across various formats, such as In-Clinic visits, Video consultations, and Anywhere Consultations. Efficiently oversee referrals, admissions, and discharge summaries in real-time. Track and enhance clinical outcomes while ensuring continuity of care for both outpatients and inpatients. Build, maintain, and operate a highly effective and adaptable clinical practice model. Effortlessly enter, gather, store, and analyze clinical data. Tailor clinical workflows and implement AI-driven data analytics for improved performance. The system automatically recognizes the specialist logged in and adjusts to their specific user interfaces and clinical workflows. A scaled-down version is available for general practitioners and dental clinics. By subscribing to the TopDoc SaaS Service, specialist clinics and doctors can design and manage their own digital health delivery systems that seamlessly integrate their practice business processes, clinical workflows, data capture, analytics, laboratory and pharmacy services, referral processes, and patient communications, leading to a more streamlined and efficient healthcare experience. This integration not only enhances productivity but also significantly improves patient satisfaction and care outcomes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

MatrixCare
PointClickCare

Integrations

MatrixCare
PointClickCare

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

Flax

Founded

2025

Country

United States

Website

www.flax.ai/

Vendor Details

Company Name

Banzai Health

Founded

2017

Country

India

Website

www.topdoc.ai/

Product Features

Product Features

Medical Practice Management

Claims Management
E-Prescribing
EMR / EHR
HIPAA Compliant
Insurance Eligibility Verification
Inventory Management
Multi-Office
Multi-Physician
Patient Billing
Patient Portal
Patient Records
Patient Registration
Patient Scheduling
Physician Scheduling

Medical Scheduling

Appointment Management
Billing & Invoicing
Drag & Drop
Facility Scheduling
Multi-Location
No-Show Tracking
On Call Scheduling
Patient Records
Patient Scheduling
Physician Management
Recurring Appointments
Self Service Portal
Staff Scheduling

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