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Data Dare healthcare L4 sticker: the findi360 mascot analysing Hospital Network Performance and Capacity Planning.

DD-HLT-004

Hospital Network Performance and Capacity Planning

Decide where the network is short of capacity, which hospitals run over budget and why, and what next year's demand looks like from the evidence.

  • Healthcare
  • L4 · PARQUET
  • ~6,000,000 rows
  • 18 tables
  • 60 questions

Get the data

v1.0 · 6 files

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  • Question Book PDF DD-HLT-004_Question_Book.pdf 1.3 MB · v1.0
  • Dataset Documentation / Data Dictionary XLSX DD-HLT-004_Data_Dictionary.xlsx 13.8 KB · v1.0
  • Business Introduction PDF DD-HLT-004_Business_Introduction.pdf 614.1 KB · v1.0
  • Relationship Diagram PDF DD-HLT-004_Relationship_Model.pdf 617.5 KB · v1.0
  • Raw fact data DD-HLT-004_FactHospitalEncounters.parquet 148.3 MB · v1.0
  • Dimension / supporting data DD-HLT-004_Supporting_Tables.zip 156.9 MB · v1.0

Questions

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  1. Q007 Medium Monthly trend of encounter volume
  2. Q008 Medium Monthly trend of billed charges
  3. Q009 Medium Monthly trend of direct costs
  4. Q010 Medium Monthly trend of contribution before overhead
  5. Q011 Medium Monthly trend of collections allocated to encounters
  6. Q012 Medium Monthly trend of outstanding balances
  7. Q013 Medium Monthly trend of total waiting minutes
  8. Q014 Medium Monthly trend of completed encounters
  9. Q015 Medium Monthly trend of completed length-of-stay days
  10. Q016 Medium Year-on-year change in encounter volume
  11. Q017 Medium Year-on-year change in billed charges
  12. Q018 Medium Year-on-year change in direct costs
  13. Q019 Medium Year-on-year change in contribution before overhead
  14. Q020 Medium Year-on-year change in collections allocated to encounters
  15. Q021 Medium Year-on-year change in outstanding balances

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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