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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

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  1. Q017 Medium Monthly trend of encounter volume
  2. Q018 Medium Monthly trend of billed charges
  3. Q019 Medium Monthly trend of direct costs
  4. Q020 Medium Monthly trend of contribution before overhead
  5. Q021 Medium Monthly trend of collections allocated to encounters
  6. Q022 Medium Monthly trend of outstanding balances
  7. Q023 Medium Monthly trend of total waiting minutes
  8. Q024 Medium Monthly trend of completed encounters
  9. Q025 Medium Monthly trend of completed length-of-stay days
  10. Q026 Medium Year-on-year change in encounter volume
  11. Q027 Medium Year-on-year change in billed charges
  12. Q028 Medium Year-on-year change in direct costs
  13. Q029 Medium Year-on-year change in contribution before overhead
  14. Q030 Medium Year-on-year change in collections allocated to encounters
  15. Q031 Medium Year-on-year change in outstanding balances
  16. Q032 Medium Year-on-year change in total waiting minutes
  17. Q033 Medium Year-on-year change in completed encounters
  18. Q034 Medium Year-on-year change in completed length-of-stay days
  19. Q035 Medium Collection rate by month
  20. Q036 Medium Direct cost per encounter by month

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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