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Data Dare healthcare L2 sticker: the findi360 mascot analysing Inpatient Efficiency and Billing.

DD-HLT-002

Inpatient Efficiency and Billing

Decide whether beds are being used well, which admissions return within a month, and how much of what was billed was actually collected.

  • Healthcare
  • L2 · CSV
  • ~30,000 rows
  • 8 tables
  • 40 questions

Get the data

v1.0 · 6 files

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  • Question Book PDF DD-HLT-002_Question_Book.pdf 1.2 MB · v1.0
  • Dataset Documentation / Data Dictionary XLSX DD-HLT-002_Data_Dictionary.xlsx 11.3 KB · v1.0
  • Business Introduction PDF DD-HLT-002_Business_Introduction.pdf 613.8 KB · v1.0
  • Relationship Diagram PDF DD-HLT-002_Relationship_Model.pdf 614.2 KB · v1.0
  • Raw fact data DD-HLT-002_FactAdmissions.csv 2 MB · v1.0
  • Dimension / supporting data DD-HLT-002_Dimensions.zip 565.2 KB · v1.0

Questions

Open one to discuss it
  1. Q001 Easy Total encounter volume
  2. Q002 Easy Total billed charges
  3. Q003 Easy Total direct costs
  4. Q004 Easy Total contribution before overhead
  5. Q005 Easy Total collections allocated to encounters
  6. Q006 Easy Total outstanding balances
  7. Q007 Easy Total waiting minutes
  8. Q008 Easy Total completed encounters
  9. Q009 Easy Total completed length-of-stay days
  10. Q010 Easy Top department by encounter volume
  11. Q011 Easy Top department by billed charges
  12. Q012 Easy Top department by direct costs
  13. Q013 Easy Top department by contribution before overhead
  14. Q014 Easy Top department by collections allocated to encounters
  15. Q015 Easy Top department by outstanding balances
  16. Q016 Easy Top department by total waiting minutes

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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