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Need help with Mirth Consulting Services / Mirth Connect / NextGen Connect?

Mirth Connect, known as NextGen Connect, is great for creating healthcare interfaces.

We have experienced Mirth developers and consulting services around Mirth Connect / NextGen Connect to help you with either implementing both the open source or commercial version of Mirth Connect.

Transform Your Business Today

Taliun Solutions’s Mirth experts can help your organization with

Healthcare standards: HL7v2, v3, CCD/CCDA, FHIR
Databases: MySQL, Oracle, DB2, HyperSQL, MS SQL Server, Postgres
Operating Systems: UNIX/Linux (AIX, Fedora, Ubuntu, CentOS), Windows, OS X
EHR’s: Cerner, Epic, McKesson, Meditech, NextGen^®, Allscripts, Fresenius, Centricity (and many more)
Channel development and best practices
Advanced scripting to extend Mirth^® Connect’s capabilities beyond the user interface
Custom Plugin Development
Interface architecture design and consulting
Training, consulting and support

To know more how we are helping some of our clients with Mirth setup, implementation of different channels around ADT, ORU, ORM, 837, 835 and more contact us.

EHRs & Billing Leveraging Mirth Connect Engine on AWS

Client is a New York, US based company with advanced analytics and predictive modelling solutions that are transforming the way healthcare providers leverage data to improve patient outcomes and optimize care delivery.

Integration & Interoperability Solutions

Mirth Connect

Self-managed, enterprise-grade

integration engine

24x7 Emergency Support

Troubleshooting & error assistance, Phone + Email + Client Portal

Enterprise Capabilities

FHIR, Enhanced security, Interop suite

Professional Services

Implementation assistance, interface development, health checks

Mirth Cloud Connect

Fully managed, cloud-based integration-as-a-service solution

End-to-end Solution

Design, implementation, support

Cloud-hosted

High-availability, disaster recovery, scalability

Secure & Compliant

HIPAA compliant and highly secure

Mirth Health Data Hub

Clinical data normalization and aggregation

Data Aggregation

Exchange, normalize, and aggregate community-wide data

Integrated Analytics

Modern data warehouse for evolving care delivery models

Connect to any system over any protocol

Supported Standard Transfer Protocols

FHIR
MLLP
TCP/IP
HTTP(S)
Web Services (SOAP)
REST API
Database

Email
FTP / FTPS / SFTP
JMS
DICOM
Serial
ASTM E1381
File System

Supported Data Formats and Health Data Standards

HL7 v2.x
HL7 v3 / CDA / CCD / C-CDA
XML
DICOM
NCPDP
EDI / X12

Delimited Text
Raw ASCII or Binary
ASTM E1394
PDF
RTF

Claim to ADT Interface

This is an interface that can accept claim data and maps it to ADT information

Claim to ORU

This is an interface that can accept claim data and maps it to ORU message

FHIR Resource Integration leveraging Mirth Connect

These interfaces are for creating various resources like - Patient, encounter, Practitioner etc.

xDICOM Viewer

DICOM Web Viewer is open source and built leveraging JavaScript/HTML5, with standard tools and works with various screen sizes

Eligibility Check

This Interface helps check the eligibility of patient insurance before availing the benefits of the health insurance. It sends an EDI X12 standard message to the clearing house or the payer to enquire about the various details like- Copay, Coinsurance, Out of Pocket and policy status etc.

Eligibility Response

This interface is created to extract the information from eligibility check responses sent in EDI X12 format.

Claim Processing

This Interface Is for parsing the healthcare claim generated in EDI X12 standard.

Claim remittance (835)

This Interface is for parsing the claim remittance generated in EDI X12 standard

Labcorp Order and Result

These are Lab order and Result interfaces for integrating Labcorp lab order and results

Quest Order and Result

These are Lab order and Result interfaces for integrating Quest lab order and results

Data analysis on Healthcare Data

This is a pipeline to do various kinds of longitudinal analysis on clinical data. Analysis like - Patient journey analysis, line of therapy analysis, Prevalence of a disease and market analysis etc.

Data Anonymization

Anonymizing healthcare data using tools for Health-Data-Anonymization