In today's complex healthcare landscape, a commitment to quality is paramount for ensuring patient safety, improving clinical outcomes, and maintaining organizational integrity. While foundational quality assurance is important, mastering advanced methodologies and strategic thinking is essential for professionals seeking to lead change and drive clinical excellence. This training course delves into sophisticated frameworks and data-driven techniques that enable organizations to move from reactive problem-solving to proactive, systemic improvement.

This program is designed to equip participants with the expertise to navigate the most pressing challenges in modern healthcare quality. From implementing cutting-edge analytics to fostering a culture of safety and accountability, the course provides the tools needed to not only meet but exceed regulatory standards and patient expectations. By the end of this training, professionals will be prepared to design, implement, and lead impactful quality assurance initiatives that elevate the standard of care and position their institutions for long-term success.

Duration

5 days

Target Audience

• Quality assurance and patient safety managers
• Clinical risk and compliance officers
• Hospital and clinic administrators
• Senior nursing staff and clinical leads
• Healthcare data analysts and performance specialists
• Public health officials and policy advisors
• Medical directors and department heads
• Accreditation and regulatory compliance coordinators
• Healthcare consultants
• Leaders of healthcare non-profits and NGOs

Objectives

• Master advanced quality assurance methodologies and frameworks.
• Implement data-driven quality improvement projects.
• Develop and manage robust patient safety programs.
• Utilize advanced analytics for performance monitoring.
• Conduct effective root cause analysis and risk assessments.
• Lead and sustain a culture of quality and safety.
• Navigate healthcare accreditation and regulatory standards.
• Design and evaluate quality performance metrics.
• Apply lean and Six Sigma principles to healthcare processes.

Course Modules

Module 1: Foundations of Advanced Quality Assurance

• The evolution of quality assurance and improvement.
• Differentiating between quality assurance, control, and improvement.
• The IOM's six aims of quality and their application.
• Key quality management frameworks: TQM, ISO 9001, and Baldrige.
• The role of leadership in driving a quality-focused organization.

Module 2: Data-Driven Quality Improvement

• Using advanced statistical process control (SPC) charts.
• The PDCA and DMAIC cycles for continuous improvement.
• Process mapping and value stream analysis in healthcare.
• Designing and conducting impactful quality improvement projects.
• Leveraging electronic health record (EHR) data for insights.

Module 3: Patient Safety and Risk Management

• Proactive risk assessment and failure mode and effects analysis (FMEA).
• Implementing a non-punitive event reporting system.
• Conducting effective root cause analysis (RCA) on adverse events.
• Developing a patient safety culture and just culture.
• Strategies for reducing common healthcare-associated risks.

Module 4: Performance Metrics and Analytics

• Designing meaningful and actionable key performance indicators (KPIs).
• Introduction to health informatics and business intelligence tools.
• Using predictive analytics to forecast quality issues.
• Benchmarking against national and international standards.
• Communicating performance data to diverse stakeholders.

Module 5: Quality Leadership and Culture

• The characteristics of a high-reliability organization (HRO).
• The role of emotional intelligence in quality leadership.
• Fostering interdisciplinary collaboration for quality.
• Engaging frontline staff in quality improvement initiatives.
• Overcoming resistance to change and building buy-in.

Module 6: Regulatory Compliance and Accreditation

• A deep dive into major accreditation standards (e.g., Joint Commission).
• Preparing for and navigating regulatory surveys and audits.
• Ensuring compliance with privacy and data security regulations.
• Ethical considerations in quality assurance.
• The link between quality, safety, and legal liability.

Module 7: Emerging Trends in Healthcare Quality

• The impact of artificial intelligence and machine learning on quality.
• Telehealth and virtual care quality assurance.
• Patient-reported outcome measures (PROMs) and experience measures (PREMs).
• The role of human factors engineering in healthcare design.
• The future of quality assurance in a value-based care model.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.