Myndshft
Overview
Myndshft is an AI-powered platform designed to automate and streamline administrative tasks related to patient access and revenue cycle management in healthcare.
The platform is intended for a range of healthcare stakeholders, including providers (acute and post-acute care), payers, specialty pharmacies, Pharmacy Benefit Managers (PBMs), medical device manufacturers, and pharmaceutical manufacturers.
Myndshft integrates into existing clinical and practice workflows, such as Electronic Health Records (EHRs), Laboratory Information Management Systems (LIMS), pharmacy management, and revenue cycle solutions, often through HL7 FHIR APIs.
Notable capabilities include:
- Unified Prior Authorization: It offers a single platform for both medical and pharmacy prior authorizations, automating the entire workflow from order to submission, verification, and status monitoring.
- Real-Time Eligibility & Benefits Verification: The system provides instant verification of patient eligibility and medical benefits for a significant portion of covered lives in the U.S.
- Patient Financial Responsibility: It automatically calculates patient out-of-pocket costs, including co-insurance, copay, and deductibles, at the point of service.
- Insurance Discovery & Coordination of Benefits: Myndshft can identify active insurance coverage and determine primary, secondary, and tertiary payers.
- Self-Learning System: The platform utilizes generative AI and machine learning to dynamically update workflows and rules engines based on interactions with payers, adapting to evolving payer policies.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Automated Medical Prior Authorizations
- Automated Pharmacy Prior Authorizations
- Generative AI and Machine Learning
- Real-time Eligibility & Benefits Verification
- Coordination of Benefits
- Insurance Discovery
- Patient Financial Responsibility Calculation
- Self-Learning System
- Synchronized Rules Library
- Seamless EHR Integration
Use Cases
- Reducing administrative burden for prior authorizations
- Speeding up time to therapy for patients
- Improving financial transparency for patients
- Automating benefits verification and eligibility checks
- Enhancing revenue cycle management at the point of care
- Streamlining utilization management processes
What Physicians Need to Know
Myndshft excels at automating the administrative burden of prior authorizations, eligibility checks, and patient financial responsibility. Physicians should leverage its seamless integration with EHRs to reduce manual tasks and accelerate patient access to care. Focus on providing accurate and complete initial clinical documentation, as Myndshft's AI and machine learning will utilize this data to navigate payer rules and optimize submission routes. The system's real-time capabilities can provide immediate insights into patient benefits and authorization requirements, allowing for more informed discussions with patients at the point of care.
Myndshft's strength lies in its extensive integration capabilities, particularly with EHRs and other health information systems via HL7u00ae FHIRu00ae APIs. This allows it to fit into existing workflows rather than requiring physicians to adopt entirely new systems. Its partnerships with companies like Augmedix and UiPath further enhance its ability to automate tasks by integrating voice-to-text clinical documentation and robotic process automation, respectively. This means physicians can expect a more connected and streamlined administrative experience within their familiar clinical environment.
Details
| Category | General Productivity (AI Assistants), Practice Management & Scheduling, Prior Authorization |
| Pricing | Tier-based subscription software-as-a-service (saas) model, dependent on monthly patient transaction volume. pricing is not publicly disclosed; contact sales for a quote. |
| Deployment | Cloud, web |
| Mobile App | None |
| Compliance | |
| BAA Available | Yes AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status | Not applicable AI-estimated |
| SOC 2 | Yes AI-estimated |
| GDPR | Yes AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Family Medicine, Hospital Medicine, Internal Medicine |
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