Question: Business Intelligence Technologies,hi i need help with the question to find assumptions? A large hospital has suffered from bad publicity due to a number of

Business Intelligence Technologies,hi i need help with the question to find assumptions?

A large hospital has suffered from bad publicity due to a number of highly publicised deaths and problems during apparently routine operations. It wishes to set up a data warehouse to be able (among other things) to monitor the outcomes of operations/surgical procedures taking place, to attempt to understand what is going wrong and general trends.

You can assume that the hospital has been routinely collecting data on various aspects of this over the years. This data is currently held over a disparate databases.

You may make any reasonable assumptions to support your model. You may find that you dont need any assumptions if everything is self-explanatory, but any assumptions that you do make must be based on some version of reality (eg There is only surgeon involved in each operation is not a realistic assumption).

so Please the question is:

  1. A brief explanation of the assumptions you have made in the course of putting together your star schema, including a rationale for the inclusion of your data, (eg it is assumed that the health of the patient at the time of the operation is likely to impact the outcomes, so health data needs to be procured)any clarification of the attributes you have included, etc (250-500 words) Business Intelligence Technologies,hi i need help
Admission Type Dimension PK Admission Type ID Hospital Dimension PK Hospital ID Description Admission Category Admission Source Dimension PK Admission Source ID Name County Beds Physicians Employees Founded Hospital Discharge Facts PK Event ID Source Name Source Category Note FK1 Hospital ID FK2 Admission Type ID FK3 Admission Source ID FK4 Admission Quarter ID FK5 Gender ID FK6 Race ID FK7 Age ID FK8 ICD Dx 1 ICD Dx 2 Race Dimension Admission Quarter Dimension PK Admission Quarter ID PK Race ID Race Category Race Group Description Quarter Year ICD Dx 10 FK9 ICD Procedure 1 ICD Procedure 2 Age Dimension PK Age ID Gender Dimension ICD Procedure 10 Length of Stay Days to Procedure Total Charges Room Charges ICU Charges OR Charges Age Value Age Unit Y5 Band Y10 Band PK Gender ID Gender Category Gender Group ICD Procedure Dimension Surgery Performed PK Surgery ID Dx Name Dx Category PK Procedure Code Procedure Name Procedure Category

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