What is message monitor in SAP (IS-HMED - Clinical System)?

SAP Term: message monitor

• Component: IS-HMED

• Component Name: Clinical System

• Description: The message monitor enables a user to view the processing status and processing logs for individual messages of a communication process. The message monitor is called with transaction N1MCI_MONITOR.

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• Key Concepts: 
  The Message Monitor is a component of the IS-HMED Clinical System, which is an SAP-based system used to manage healthcare processes. It is used to monitor and manage messages sent between different systems, such as between the hospital information system and the laboratory information system. It also allows users to view and analyze message traffic, as well as to troubleshoot any issues that may arise. 
  
  How to use it: 
  The Message Monitor can be accessed through the SAP GUI. Once logged in, users can view all messages sent between different systems, as well as view detailed information about each message. They can also filter messages by type, sender, recipient, and other criteria. Additionally, users can view message statistics such as the number of messages sent and received, the average response time, and more. 
  
  Tips & Tricks: 
  When using the Message Monitor, it is important to ensure that all messages are being sent and received correctly. To do this, users should regularly check the message log for any errors or warnings that may indicate a problem with the system. Additionally, users should be aware of any changes in message traffic that could indicate a problem with one of the systems connected to the Message Monitor. 
  
  Related Information: 
  The Message Monitor is part of the IS-HMED Clinical System, which is an SAP-based system used to manage healthcare processes. Other components of this system include the Patient Administration System (PAS), Laboratory Information System (LIS), Radiology Information System (RIS), and Pharmacy Information System (PIS). Additionally, there are several other SAP-based systems used in healthcare settings such as the Healthcare Data Warehouse (HDW) and Healthcare Analytics (HA).