Skip to content

Patient & Demographics Analysis #33

Description

@levelslip
  • Description: Analyze patient behavior and demographics
  • Activities:
    • Patient arrival patterns:
      • Analyze patient arrival time distribution
      • Identify recurring patient patterns
      • Analyze new vs returning patient patterns
    • Patient demographics impact:
      • Analyze wait time by patient type (new vs returning)
      • Analyze insurance type impact (BPJS vs private)
      • Analyze age/gender impact (if applicable)
    • Patient booking patterns:
      • Analyze appointment booking distribution
      • Identify peak booking times
      • Analyze booking lead time
    • Patient wait tolerance:
      • Estimate acceptable wait times
      • Analyze no-show patterns (if applicable)
    • Queue distribution analysis:
      • Analyze how patients distribute across departments
      • Identify over/under-served departments
    • Create visualizations:
      • Pie charts of patient distributions
      • Histograms of arrival patterns
      • Scatter plots of patient characteristics
    • Document patient analysis findings
  • Deliverables: Patient analysis visualizations, behavior insights report

Metadata

Metadata

Labels

DSData Science Role

Type

No type

Projects

No projects

Relationships

None yet

Development

No branches or pull requests

Issue actions