Patient Waitlist Management System: Real-time Tracking and Historical Analysis
Dataset Overview:
This publicly available dataset encompasses patients' waitlist information, comprising two main categories:
- Inpatient Data: Patients receiving treatment while admitted to the hospital.
- Outpatient Data: Patients undergoing medical treatment without hospital admission.
Overall Objectives - Project Goals:
- Real-time Tracking: Enable healthcare professionals to track patients' waitlists in real-time, facilitating informed decision-making.
- Historical Trend Analysis: Unveil monthly trends in inpatient and outpatient categories to identify patterns and implement proactive measures for enhanced patient care.
- Specialty-Level and Age Profile Analysis: Conduct granular analysis at specialty and age levels to provide detailed insights for targeted interventions.
Steps Involved:
- Requirement Gathering
- Data Collection
- Transformation and Modeling
- Data Visualization Blueprint
- Dashboard Design and Layout
- Interactivity and Navigation
- Testing and Publishing
- Maintenance and Refresh
Metrics Required:
- Average Median Waitlist: A vital metric for assessing healthcare system efficiency, offering insights into patient waitlist duration.
- Current Waitlist: Real-time data on current waitlists enables effective patient flow management by healthcare professionals.
Views:
- Summary Page: Presents critical metrics overview, offering a snapshot of the patient waitlist landscape.
- Details Page of Granular Analysis: Provides in-depth specialty-level and age profile analyses, facilitating targeted improvements.
This project aims to streamline patient waitlist management, improve healthcare service delivery, and optimize resource allocation for better patient outcomes.