Training Course in Measuring and Improving Healthcare Quality Through Data Analytics
1Summary
Every year, preventable errors and inconsistent standards cost healthcare systems around the world both lives and resources — which is exactly why hospitals now invest heavily in measuring, not just delivering, care. This Training Course, delivered by the Arab British Fellowship Training Academy, equips healthcare professionals with the practical tools to turn raw clinical and operational data into real quality improvements.
Rather than treating quality as an abstract concept, the programme walks participants through the full cycle: choosing the right indicators, collecting reliable data, applying statistical and improvement methodologies, and translating findings into safer, more efficient patient care. Along the way, participants build the analytical mindset needed to keep improvement continuous rather than a one-off project.
2Objectives and target group
Who Should Attend?
- Quality assurance and patient safety officers in hospitals and clinics.
- Doctors, nurses, and healthcare managers involved in improvement initiatives.
- Healthcare data analysts and performance officers.
- Administrators and policymakers responsible for healthcare outcomes.
Knowledge and Benefits:
By the end of the programme, participants will be able to:
- Read and apply the major healthcare quality models and international standards.
- Build a reliable data collection and analysis process for clinical and operational performance.
- Use benchmarking and key performance indicators to spot where care is falling short.
- Run structured improvement projects using Lean, Six Sigma, and PDCA.
- Strengthen patient safety through risk management and incident reporting systems.
- Navigate accreditation, regulatory compliance, and data security requirements.
3Course Content
Module 1: Why Healthcare Quality Measurement Matters
- The cost of inconsistent care: patient outcomes, resources, and trust.
- Overview of major quality frameworks: the Donabedian model, the IOM framework, and international standards.
- The stakeholders shaping quality: providers, patients, policymakers, and regulators.
Module 2: Choosing and Tracking the Right Indicators
- Clinical performance, patient experience, and operational efficiency indicators.
- Benchmarking against peer institutions and international standards.
- Building a KPI dashboard for ongoing monitoring.
Module 3: Collecting and Analysing Healthcare Data
- Data sources: EHRs, administrative records, surveys, and direct observation.
- Structured versus unstructured data collection and ethical considerations.
- Statistical tools (SPSS, Excel) and turning numbers into actionable insight.
Module 4: Running Structured Quality Improvement Projects
- Foundations of quality management: ISO 9001 and the PDCA cycle.
- Planning and executing QI projects using the DMAIC methodology.
- Lean and Six Sigma in healthcare: eliminating waste and reducing variation.
- Building a culture of continuous quality improvement (CQI) and evidence-based decision-making.
Module 5: Patient Safety and Risk Management
- Defining patient safety and the most common risks (medication errors, falls, infection).
- Identifying, assessing, and mitigating healthcare risks.
- Monitoring patient safety indicators and reporting near misses.
Module 6: Accreditation, Regulation, and Global Standards
- Accreditation bodies (Joint Commission, NCQA) and maintaining certification.
- Regulatory compliance: HIPAA, CMS guidelines, and related legal frameworks.
- WHO standards and international quality initiatives.
Module 7: Technology, Policy, and the Future of Healthcare Quality
- Health information technology, EHRs, and interoperability.
- Telemedicine: quality and safety considerations in remote care.
- Data security and privacy in healthcare information systems.
- Emerging trends: artificial intelligence, big data, and value-based frameworks such as Baldrige and EFQM.