Overview of OnBase HL7 Modules - HL7 Module - Foundation 23.1 - Foundation 23.1 - Ready - OnBase - Essential - Premier - Standard - external - Essential - Standard - Premier

HL7 Module

Platform
OnBase
Product
HL7 Module
Release
Foundation 23.1
License
Essential
Standard
Premier

The OnBase HL7 modules provide two areas of functionality using HL7 messages:

  • HL7 Listener

  • HL7 Sender

The OnBase HL7 Listener listens for HL7 messages sent using Minimal Lower Layer Protocol (MLLP), even user-defined messages. The OnBase HL7 module maps Keyword Types to the fields of HL7 messages and attaches one or more actions to each HL7 message as soon as it enters the system.

Actions include populating an AutoFill Keyword Set, creating documents, creating E-Forms, and creating patient records. HL7 fields that are not mapped to Keyword Types can also be used to populate non-keyword fields on E-Forms. The HL7 module's built-in safeguards prevent duplicate messages from being processed, which could create duplicate AutoFill Keyword Sets or duplicate medical charts.

When documents are imported using an import processor (such as Document Imaging, COLD/ERM, or DIP), the OnBase HL7 Sender can generate HL7 messages and send them (using MLLP) to one or more destination applications located on the network. For example, when a hospital uses DIP to archive large numbers of third-party electronic files into OnBase, the HL7 Sender can simultaneously send HL7 messages containing document Keyword values.

HL7 message data can be used to create bar-coded face sheets, which can be used to automate indexing of medical documents. Indexing using bar codes greatly reduces errors in data entry and increases efficiency and productivity, allowing for more accurate capture and retrieval of medical documents.

OnBase medical record charts can also be used to facilitate document indexing. The HL7 module allows AutoFill Keyword Sets to be based off of OnBase charts, so AutoFill Keyword Set values can be created and populated automatically using chart metadata. With chart-based AutoFill Keyword Sets, indexers can use reverse keyset lookup to retrieve Keyword values from a patient's chart, ensuring that documents are indexed correctly.