Our Solutions

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Eligibility & Benefits Verification

Myndshft Benefits Verification

Myndshft integrates with your existing workflow and systems to autonomously verify eligibility and benefits in real-time with over 700 payers, so you preempt denials and delays before they start. Instantly access co-insurance, copay, deductible, and other plan details for 93% of covered U.S. lives.

Patient Financial Responsibility

Myndshft Patient Financial Responsibility

How much does a patient owe? With Myndshft, you can know for sure at the time of service. Understand a patient’s financial responsibility and propensity to pay so that you can collect payment up front if necessary or extend financing options to improve the likelihood of being reimbursed.

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Prior Authorization

Myndshft Prior Authorization

Myndshft enables your RCM solution to automatically identify whether prior authorization is required and to determine the optimal submission route between EDI/278, fax, and payer portals. Our machine learning and AI-enabled processes recognize patterns from payer responses and can dynamically update workflows to minimize the risk of denials or delays in payment.

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CB.Claims Runs on CognitiveBus

CognitiveBus is Myndshft’s integrated machine learning and blockchain platform upon which we build our solutions.

Artificial Intelligence and Analytics

Artificial Intelligence and Analytics

Our AI and Analytics layer employs a data warehouse that leverages a stream of de-identified data to build machine learning models and perform complex analytics. We use this to build valuable business models such as identification of fraud, waste, and abuse, payment risk modeling, and estimated authorization response times.

M:IA Ingest Engine

M:IA

M:IA is our systems integration and robotic process workflow engine. We use it to automate existing manual workflows and processes within an EHR or system of record and to make it easy for data ingest and egress to and from our applications.

 

Applications

Applications

Myndshft’s application layer uses our rules engine to perform additional data validation and cleansing, scrub personal health information to de-identify data being sent to our analytics layer.

Payer Integration Layer

 

Payer Integration Layer

The Payer Integration Layer leverages our rules engine and library to make EDI submissions, maintain a library of always up-to-date payer portal workflow requirements, generate web portal submission requests, and schedule follow up events such as status checks.

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CognitiveBus

CognitiveBus is Myndshft’s foundational platform layer upon which we build all of our applications. It utilizes our fully integrated AI compute engine and native enterprise blockchain to enable us to quickly and easily build machine learning models, create new solutions, and derive insights from customer data. It is deployed within the HIPAA-compliant Google Cloud infrastructure and can scale dynamically.

Rules Engine

Self-Learning Rules Engine and Library

Myndshft utilizes smart contracts and an automated rules engine to consistently maintain payer prior authorization rules — including pricing and per diem information — for over 700 payers. Our comprehensive library of publicly available payer rules enables us to ensure that all patient interactions are following the requirements set by payers; both those that are published and those used in practice.

CognitiveBus® is Myndshft’s proprietary artificial intelligence compute engine, accelerator, toolkit, and native enterprise blockchain platform. We built it with speed, scale, and agility in mind. 

Its “plug and play” tooling, industry accelerators, and cognitive building blocks remove the complexity associated with deploying artificial intelligence. It can also be deployed in as little as an hour, and can scale from a single node to thousands in just minutes. 

Myndshft’s solutions run on top of CognitiveBus, which is why they are able to deliver instantaneous results, function as self-learning systems, and directly integrate with thousands of EMR’s, health information systems, and financial management systems.   

Roll over each section of the diagram with your cursor to read more detailed descriptions. 

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