Healthcare Analytics

This dashboard provides a comprehensive operational view of Emergency Room performance, focusing on patient volume, wait times, admissions, demographics, and service efficiency.

KPI Requirements:

    Number of Patients:
  • Measure the total number of patients visiting the ER daily.
  • Display a daily trend using an area sparkline to understand patterns over time, such as peak days or seasonal trends.
    Average Wait Time:
  • Calculate the average time patients wait before being attended to by a medical professional.
  • Use an area sparkline to show daily fluctuations and identify days with higher wait times that may require operational adjustments.
    Patient Satisfaction Score:
  • Analyze the average satisfaction score of patients on a daily basis to evaluate the quality of service provided.
  • Present a daily trend using an area sparkline to identify dips in satisfaction and correlate them with operational challenges or peak times.
    Number of Patients Referred:
  • Count the number of patients referred to specific departments from the ER each day.
  • Use an area sparkline to track daily trends and identify departments with high referral rates, which may require additional resources.

Dashboard 1: Monthly View

Monitor key metrics filtered on date range
  • Patient Admission Status: Track admitted vs. non-admitted patients.
  • Patient Age Distribution: Group patients by 10-year age intervals.
  • Department Referrals: Analyze referral trends across different departments.
  • Timeliness: Measure the percentage of patients seen within 30 minutes.
  • Gender Analysis: Visualize patient distribution by gender.
  • Racial Demographics: Analyze patient data by race.
  • Time Analysis: Assess patient volume by day and hour.

Project Screenshot

Dashboard 2: Consolidated View

Holistic summary of hospital performance filtered on date range
  • Similar to Monthly view, but aggregated over customizable date range for broader insights

Project Screenshot

Dashboard 3: Patient Details

Offer granular insights into patient-level data to enable detailed analysis and troubleshooting. Charts to Develop: A grid displaying essential fields like:
  • Patient ID
  • Patient Full Name
  • Gender
  • Age
  • Admission Date
  • Patient Race
  • Wait Time
  • Department Referral
  • Admission Status

Project Screenshot

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