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What is Myndshft?

Streamlining workflow processes through real-time transactions that are integrated with modern technology platforms significantly enhances efficiency. This innovative method allows both providers and payers to reduce the time and effort associated with benefits and utilization management by up to 90%. By removing the confusion inherent in the current benefits and utilization management system, clarity is greatly improved for patients, providers, and payers. With the implementation of self-learning automation and a reduction in the number of clicks needed, healthcare professionals can allocate more time to patient care, thereby focusing on their primary responsibilities. Myndshft simplifies the intricacies of utilizing multiple point solutions by providing a comprehensive, end-to-end platform that fosters immediate communication among payers, providers, and patients. In addition, the platform continuously enhances its automated workflows and rules engines through real-time feedback from interactions between providers and payers. It also intelligently adjusts to the specific regulations employed by different payers. As the platform is utilized more frequently, its intelligence grows, utilizing an extensive repository of thousands of up-to-date rules specifically designed for national, state, and regional payers, which leads to greater efficiency and effectiveness in the healthcare sector. Ultimately, with the ongoing evolution of such technology, an optimized care delivery environment is created, yielding benefits for all parties involved, including improved patient outcomes and streamlined administrative processes.

What is Infinx?

Leverage cutting-edge automation and sophisticated intelligence to address issues concerning patient access and the revenue cycle, all while improving the reimbursements for the services rendered. Despite the progress made with AI and automation in optimizing patient access and revenue cycle functions, there is still a significant need for professionals who possess expertise in revenue cycle management, clinical practices, and compliance to guarantee that patients are appropriately screened for financial matters and that all services provided are accurately billed and compensated. Our clients benefit from a robust blend of technological solutions and expert team support, underpinned by a deep understanding of the complex reimbursement environment. With insights derived from processing billions of transactions for leading healthcare providers and over 1,400 payers across the nation, our technology and dedicated team are exceptionally positioned to achieve outstanding outcomes. Our patient access platform facilitates quicker financial clearance for patients before they receive treatment, offering a comprehensive approach to eligibility checks, benefit verifications, estimates of patient payments, and prior authorization approvals, all seamlessly integrated into one system. By refining these procedures, we strive to improve both the effectiveness of healthcare service delivery and the efficiency of financial operations, ultimately benefiting both patients and providers alike.

Media

Media

Integrations Supported

Payer

Integrations Supported

Atellica Inventory Manager
Avalon Laboratory System
EPIC HRMS
Exa PACS
FrameworkLTC
NextGen Healthcare EHR
athenaOne
eClinicalWorks
eRAD

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Myndshft

Date Founded

2015

Company Location

United States

Company Website

www.myndshft.com

Company Facts

Organization Name

Infinx Healthcare

Company Location

United States

Company Website

www.infinx.com

Categories and Features

Patient Intake

Not specified

Prior Authorization

Not specified

Categories and Features

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