HL7 Interface Solutions

Our integration capabilities cover a wide range of data formats, including FHIR, CCD/C32, X12, DICOM, XML, JSON, EDI, CDA, and other clinical standards such as SNOMED, ICD-9 & 10, NDC, NCPDP, and more. We are able to seamlessly connect with these different formats to facilitate data exchange and ensure compatibility with various systems.

Our team is equipped to work with a variety of communication protocols, including HTTP(S), SFTP, FTP(S), TCP/IP, SOAP/RESTful, LLP, File System, Database, Web Services, and more. We are able to adapt to different protocols as needed to facilitate communication and data exchange with various systems.

Our services allow for the exchange of data between your hospital information systems (HIS), laboratory system (LIS), anatomic pathology system (AP), and radiology information system (RIS). We facilitate the flow of information between these different systems to ensure that all relevant data is available and up-to-date.

We use advanced software tools to develop platforms that enable healthcare organizations to parse HL7 messages and present them in a more easily understandable format. These platforms help to streamline the process of working with HL7 messages and make it easier for healthcare professionals to access and use the information contained within them.

Our team specializes in designing HL7 testing software to validate messages and ensure the reliable functioning of network architecture using LLP, HLLP, MLLP, and TCP/IP protocols. These tools allow healthcare organizations to test the integrity and accuracy of their HL7 messages, as well as the stability of their network architecture, to ensure smooth and efficient communication.

Our HL7 interface solutions enable the development of interface messaging standards such as ORM, ADT, ORU, MFN, SCH, SIU, SRM, and many others. These solutions facilitate the exchange of information between different healthcare systems and enable the integration of data from a variety of sources.

We offer development and integration services for FHIR frameworks to facilitate the exchange, sharing, integration, and retrieval of electronic health information. These frameworks support clinical interoperability by enabling the seamless flow of data between different healthcare systems and making it easier for healthcare professionals to access and use the information they need.

FHIR-compliant systems that are designed for interoperability typically incorporate terminology, administration, clinical, workflow, diagnostics, medications, billing/claims, and security modules. These systems are able to exchange and use information from a wide range of sources and enable healthcare professionals to access and utilize data in a seamless and efficient manner.

We use JSON, XML, & HTTP to program FHIR for real-time data sharing, and we also utilize standardized expressions for Clinical Decision Support (CDS) & Medical Logic Modules (MLM). These techniques allow us to create FHIR systems that are able to quickly and accurately exchange data, as well as provide support for clinical decision-making and medical logic.

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We use MDHT, MARC-HI Everest, and IDE CDA-specific class generators to support the management and definition standards of CDA implementation templates. These tools allow us to create systems that are able to effectively implement CDA standards and templates, ensuring that the relevant data is accurately captured and organized.

Our developers utilize XML techniques to support the creation, validation, and parsing of CDA documents, and we also use a model-driven class code generator to ensure CDA compliance. These tools and techniques allow us to develop systems that are able to effectively work with CDA documents and meet the necessary standards for compliance.

We offer solutions that simplify HL7 V3 CDA messaging through the use of semantic mapping approaches, which are optimized for human readability and code generation. These solutions make it easier for healthcare professionals to work with HL7 V3 CDA messages and facilitate the exchange of information between different systems.

Our team offers an HL7 interface for your electronic medical record (EMR), electronic health record (EHR), and practice management systems (PMS) to improve interoperability. This interface allows for the seamless exchange of information between these different systems, ensuring that all relevant data is available and up-to-date.

Our team specializes in developing and integrating health data & management solutions (HDMS) to transform raw data from disparate systems into valuable analytical insights. These solutions help healthcare organizations to make sense of their data and extract valuable insights that can inform decision-making and drive improvements.

We implement advanced route optimization algorithms and machine learning techniques to assist public transit authorities in delivering improved service and reducing operational costs. These tools and techniques allow for the optimization of transit routes, helping to ensure that resources are used efficiently and effectively, and enabling the delivery of better service to riders.

We develop custom health information exchange (HIE) solutions using HL7 and digital imaging & communications in medicine (DICOM) standards. These solutions facilitate the exchange of information between different healthcare systems, enabling the integration of data from a variety of sources and supporting clinical interoperability.

Our team is able to integrate with a variety of interface engines, including Qvera (QIE), Orion Health (Rhapsody), Infor (Cloverleaf), Mirth (Connect), Cerner (OPENLink), and more. These tools allow us to connect with different systems and facilitate the exchange of information between them.

We design PACS software and DICOM viewer platforms to enable healthcare organizations to share, collaborate, and archive medical imaging, reports, and clips. These platforms provide a convenient and efficient way for healthcare professionals to access and work with medical images, helping to improve the quality of care and support clinical decision-making.