All Projects
Browse the complete collection of healthcare data science case studies.
Appointment No-Show Prediction
Missed appointments cost healthcare systems millions annually and leave appointment slots unfilled, reducing access for other patients. This project aimed to identify which patients were most likely to miss their appointments.
Appointment Scheduling Efficiency Study
Inefficient scheduling leads to underutilised clinic time, long patient wait times, and clinician burnout. This project analysed scheduling patterns to identify improvement opportunities.
Claims Denial Rate Analysis
High claims denial rates reduce revenue and create administrative burden. This project investigated which claim types and payers had the highest denial rates and why.
Electricity Revenue Loss Analysis (IBEDC ATC&C)
About a third of the revenue from electricity distributed across southwestern Nigeria never makes it back to the distribution company. This project built an end-to-end analytics pipeline to identify exactly where IBEDC's revenue leaks at the feeder level, validate the findings with statistical rigour, and identify which feeder characteristics actually drive the loss.
Emergency Room Wait-Time Analysis
Long A&E waiting times lead to worse patient outcomes and increased pressure on staff. This project analysed patterns in wait times to identify bottlenecks and peak demand periods.
Healthcare Staffing Demand Forecast
Workforce planning in healthcare is challenging due to seasonal demand variations, turnover, and specialty shortages. This project forecasted staffing needs across key roles.
Heart Disease Risk Predictor
Cardiovascular disease is the leading cause of death worldwide, and early risk identification from routine clinical data can guide timely intervention. This project built and deployed a classification model that predicts a patient's heart disease risk from clinical features, with both an interactive web interface and a programmatic API.
Hospital Mortality Risk Analysis
A hospital's 30-day mortality rate (3.2%) sits well above the national benchmark (2.1%). Before launching a mortality reduction programme, the Chief Medical Officer needed a statistically rigorous answer to one question: is this gap a genuine patient safety problem, or statistical noise from a riskier patient case mix?
Inventory Optimisation for Medical Supplies
Hospitals often face either stockouts of critical supplies or excessive inventory holding costs. This project modelled demand patterns to optimise reorder points and quantities.
Length-of-Stay Optimisation Project
Prolonged hospital stays increase costs, reduce bed availability, and can expose patients to hospital-acquired infections. This project modelled factors contributing to extended stays.
Medical Coding Accuracy Audit
Inaccurate medical coding leads to claim denials, compliance risks, and revenue leakage. This project audited coding accuracy across departments to identify training needs.
Patient Readmission Analysis
Unplanned hospital readmissions within 30 days indicate potential gaps in care quality and drive up costs. This project identified risk factors for readmission among diabetic patients.
Patient Satisfaction Score Analysis
Patient satisfaction scores drive quality ratings and reimbursement decisions. This project analysed HCAHPS survey data to identify the strongest drivers of overall satisfaction.
Preventive Care Compliance Tracking
Low compliance with preventive care guidelines (screenings, vaccinations, check-ups) leads to worse health outcomes and higher long-term costs. This project tracked and visualised compliance patterns.