Apierion Enables Regulatory Bodies, Insurance Companies & Facilities to Issue Credentials and Permits Seamlessly

Review Committee Dashboard

Fully Customizable

Payments Secured via Apierion’s Payment Technology

Secure Document Uploads into Vault

Permissioned, Secure Access can be granted upon request

Digital Identity Resides in a Data Vault Which Dynamically Updates

Bi-directional Data, Messaging and Payments

Digital Medical Twin NFTs

Apierion (formerly MAPay) is a global healthcare fintech company that is deploying distributed ledger technology to power smart contracts, transacting secure medical solutions. The company has developed a hybrid architecture of both centralized and decentralized protocols for multi-party medical payments and HIPAA-compliant data exchange. Apierion is working in association with hospital networks, practice management systems, drug companies, insurance payers, pharmacies, and government entities. The company is committed to empowering patients and healthcare providers by leveraging blockchain technology to improve and align incentives, reduce costs, and bring increased transparency and data exchange. The company believes in permissible sourced system collaboration, and solution sets that are economically and socially impactful. 

For hospitals, it is 4x harder to collect from patients than insurance payers. Patients now make up to 30% of hospital revenue but are 4x harder to collect from than insurance payers1 due to complexity, regulation and patient means. 

Sift Healthcare provides advanced analytics and machine learning integrations to optimize patient payments. Sift combines patient payment expertise and AI-driven intelligence to equip providers with an integrated toolset to optimize patient financial engagement.

Patient collections should be a dialogue, not a solicitation. Sift integrates AI into your patient engagement platform to guide patient communications activities – maximizing collections while improving patient engagement.

• Account Segmentation
• Patient Contact Strategy
• Payment Plan Provisioning
• Improved collections, increased payment plan adoption, and reduced inbound/outbound calls

Propensity-to-pay for a person, not a number. Sift goes beyond credit scores, leveraging historical data to determine the best engagement approach for each patient.

• Improved Patient Satisfaction
• Pre-service patient financing and collection recommendations that help avoid surprises and set expectations
• Lookalike predictive models, not credit scores and rule logic
• Increased upfront collections with more empathy

Works with legacy systems, bi-directional data flow, integrated and secure messaging and payment vehichle inlcuded. 

Global Standard Credentialing applicatinon. Cross-border/Cross-jurisdiction. 

• Unified and normalized data sets that are accessible and provide a full view of patient payment behavior 
• Dynamic machine learning based workflows, rather than rigid rules-based logic
• Intelligence that enables the most effective use of EHR functionality