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               Patient Record Life Cycle Management

 PRLM stands for Patient Record Life Cycle Management.
  • Patient Services Accounting System (PSAS) is currently deployed at
    • Ramakrishna Sevashrama Hospital, Kankhal
    • Ramakrishna Sevashrama Hospital, Vrindaban
    • Ramakrishna Sevashrama Hospital, Delhi
  • It manages information about patients visiting the hospital Includes
    • Visits (OPD and IPD Visits)
    • Sub visits (Stay in different Wards, etc.)
    • Services
    • Bill Generation, Payments, and Discharge
  • Size of PSAS Database is continuously growing resulting in two major challenges:
    • Overall degradation in performance as size grows
      • Complex Reports (e.g. IPD Dues Report)
      • Bill Generation, etc.
    • May reach the Oracle XE Database Size Limits
  • PRLM is developed to address the above challenges.
  • In PSAS, the information unit is a patient visit.
  • Instead of keeping all patient visits indefinitely
    • Retain Current visit records
    • Archive Recent visit records
    • Purge Very Old visit records
  • A Patient visit with visit date before archive point and is still active - visit record is not archived.
    [Reason: Archived records goes into read-only state]
  • A Patient visit with visit date before archive point but got discharged after archive pt - visit record is archived.
  • Active (Retained) data - Database (can be read or written)
  • Archive data - Both the current dump and the archive dump is formed which can be used accordingly (becomes read only; no writes)
  • Purged data - Will be deleted (no longer accessible, i.e., no read or write )

 This tool is used to reduce the database size which can significantly improve performance.
 Before doing the actual archive and purge of data, we can estimate the reduction in size for  selected Archive point and purge point.
  • If Archive point or Purge point only specified: Estimate based on Archive or Purge point
  • If both specified: Estimate according to Archive Point.

 Estimate Tables

     
  • Once the PRLM action is over you can re-examine the DB characteristics of PSAS database to see the database size reduction.

 Currently PRLM has been implemented at Vrindaban and we are getting good speed performance.