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Data Dare healthcare L3 sticker: the findi360 mascot analysing Hospital Revenue Cycle and Service Profitability.

DD-HLT-003

Hospital Revenue Cycle and Service Profitability

Decide which service lines earn their keep, where collections leak between invoice and receipt, and which open cases need chasing.

  • Healthcare
  • L3 · PARQUET
  • ~500,000 rows
  • 12 tables
  • 50 questions

Get the data

v1.0 · 6 files

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  • Question Book PDF DD-HLT-003_Question_Book.pdf 1.3 MB · v1.0
  • Dataset Documentation / Data Dictionary XLSX DD-HLT-003_Data_Dictionary.xlsx 12.2 KB · v1.0
  • Business Introduction PDF DD-HLT-003_Business_Introduction.pdf 613.9 KB · v1.0
  • Relationship Diagram PDF DD-HLT-003_Relationship_Model.pdf 615.1 KB · v1.0
  • Raw fact data DD-HLT-003_FactHospitalEncounters.parquet 10.7 MB · v1.0
  • Dimension / supporting data DD-HLT-003_Dimensions.zip 13.7 MB · v1.0

Questions

Open one to discuss it
  1. Q043 Very Hard Forecast method selection for encounter volume
  2. Q044 Very Hard Forecast method selection for billed charges
  3. Q045 Very Hard Forecast method selection for direct costs
  4. Q046 Very Hard Forecast method selection for contribution before overhead
  5. Q047 Very Hard Forecast method selection for collections allocated to encounters
  6. Q048 Very Hard Forecast method selection for outstanding balances
  7. Q049 Very Hard Forecast method selection for total waiting minutes
  8. Q050 Very Hard Rate and mix decomposition of completed length-of-stay days

General discussion

Anything about this dataset that is not one question — loading the files, which tool, how you set it up.

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