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Triyam

EMR/EHR Data Extraction

EMR data extraction can be a complex task. Apart from the wide range of options available to you, your EMR contains a mixture of structured and unstructured data.

While most EMR data extraction activities require pulling data from normalized, structured data elements, there’s a significant volume of unstructured data that must not be ignored. The first step in obtaining existing legacy patient data, proper EMR data extraction, means exporting as much data as possible in a usable format in order to seamlessly migrate to the new system.

Find a comprehensive EMR and EHR solutions for inpatient and ambulatory facilities. 

Our EMR/EHR Healthcare Data Extraction solution provides the patient data in a vendor-neutral format.

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Healthcare Data Management Software

Benefits

  • Store historical patient data in a vendor-neutral format
  • Search, view, and download historical patient or medical data
  • Ensure continuity of care for patients
  • Simplify release of information

Are you ready to move your legacy health data to Fovea?

Data Management & Optimization

  • Store data in the cloud with backups and security and privacy compliance
  • Data security: on-premises or in a secure cloud environment that is HIPAA and SOC2 compliant
  • Comply with Medicare and Medicaid standards for security and privacy
  • Granular, user-defined security permission levels (Role-based Access Control) for limited or unlimited data access
  • Track all user actions, requests, and releases of information for detailed audit reports
  • Break the glass for emergency access to sensitive information
  • Always encrypted

Easy Data Accessibility

  • Data is accessed directly in the cloud or via Client’s new system via an API
  • Connectivity via API interfaces to external systems
  • Multi-tenant Single-Sign-On. Fovea can integrate with Active Directory for Single Sign On and Authentication. Many of Triyam’s customers use Single Sign On (SSO) for authenticating into Fovea via their existing infrastructures such as Active Directory, ADFS, or LDAP.

User Friendly Interface

  • Intuitive operation with a user-friendly graphic interface that can be adopted by users with minimal or no training
  • Rich, easy-to-use functionality to download, view, print, or email information
  • Multiple record views such as grid view, tree view, tab view

Extensive Search Capabilities

  • Access to a powerful search engine to easily retrieve any data from the archive Built-in EMPI means a patient search shows data from multiple systems in a single view
  • Ability to sort and filter parameters to view record
  • Release of Information Workflow
  • Data can be downloaded into user-friendly file formats such as pdf and xls

Reporting

  • Extensive reporting capability to generate standard and dynamic reports
  • Store entire relational databases with the ability to write custom reports and run business analytics
  • Built-in PowerBI analytics empowers users to create their reports
  • Supports statistical reports, dashboards, and graphical analysis tools with the ability to drill down into the data.

A/R Management Capabilities

  • Feature to wind-down Accounts Receivable by using Fovea’s AR wind-down module.
  • Financial balances can be kept track of and managed in Fovea by actions such as winding down AR, posting payments, editing, and reprinting claims for resubmission, bulk upload collections and remittances, printing patient statements, etc.
  • Notes and Tasks can be added with follow-up dates

Robust software

  • Web-based; no software to install locally, and runs on any browser
  • Responsive screen, access from any device: desktops, laptops, tablets, mobile devices
  • Extensible storage with flexible multi-tenant architecture – can scale to virtually any size and service an unlimited number of users

Data Management and Optimization

  • Data agnostic – virtually any type of data (structured, unstructured, discrete data, documents, images, etc.) can be archived
  • Manage discrete, non-discrete, unstructured, and structured data including SQL, XML documents such as CCDA
  • AI-Powered OCR technology to help users find their unstructured research data
  • Supports HPC Workflow

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