How to use S_KK4_96000286 - IS-H*MED: Time Stamp Statistics


SAP Transaction Code - Details

  • Transaction Code: S_KK4_96000286

    Description: IS-H*MED: Time Stamp Statistics

    Release: ECC 6 only

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  • SAP Tcode: S_KK4_96000286 - IS-H*MED: Time Stamp Statistics
    
    Overview:
    S_KK4_96000286 is an SAP transaction code used to generate time stamp statistics in the IS-H*MED module. This transaction code is used to analyze the time stamps of medical documents and records, allowing users to gain insights into the efficiency of their processes. 
    
    Functionality: 
    This transaction code allows users to view the time stamps of medical documents and records, as well as analyze the time stamps for any discrepancies or inefficiencies. It also provides users with a comprehensive overview of their medical document and record processing times, allowing them to identify areas for improvement. 
    
    Step-by-step How to Use: 
    1. Enter the transaction code S_KK4_96000286 into the SAP command field. 
    2. Select the “Time Stamp Statistics” option from the menu that appears. 
    3. Select the desired date range for which you would like to view time stamp statistics. 
    4. Select the desired medical document or record type for which you would like to view time stamp statistics. 
    5. Select “Execute” to generate a report containing time stamp statistics for the selected date range and medical document or record type. 
    6. Review the report and analyze any discrepancies or inefficiencies in your medical document and record processing times. 
    
    Other Recommendations: 
    It is recommended that users regularly use this transaction code to monitor their medical document and record processing times, as this will allow them to identify areas for improvement and ensure that their processes are running efficiently. Additionally, users should ensure that they are familiar with all of the options available in this transaction code, as this will allow them to make more informed decisions when analyzing their time stamp statistics.
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