Patient Data Analytics

Course Overview

A practical, healthcare‑focused course that teaches learners how to analyse patient‑level data to improve clinical outcomes, personalise care, enhance patient experience, and support evidence‑based decision‑making. The course covers patient demographics, clinical histories, care pathways, risk scoring, utilisation patterns, outcome measurement, and predictive modelling across hospitals, clinics, and public health settings.

Target Audience

• Healthcare analysts and clinical informatics professionals

• Quality improvement, patient safety, and care management teams

• Hospital operations, nursing leadership, and clinical coordinators

• Public health, insurance, and population health analysts

• Students or professionals entering patient analytics or health informatics

Course Outcomes

• Understand patient‑level data sources, structures, and privacy requirements

• Analyse patient journeys, care pathways, and utilisation patterns

• Evaluate clinical outcomes, readmissions, complications, and patient experience metrics

• Apply predictive analytics for risk scoring, early warning, and personalised care

• Use data to support care coordination, chronic disease management, and population health

• Build dashboards to monitor patient outcomes, safety indicators, and care quality

• Identify gaps, bottlenecks, and improvement opportunities in patient care delivery

• Communicate patient insights clearly to clinicians, administrators, and leadership teams