Dynamic Operations Management in Healthcare #257012

Upon completion of this course, participants will be able to:

1. Apply lean and agile principles to streamline healthcare workflows and reduce waste.

2. Optimize resource allocation (staff, equipment, space) to maximize efficiency and patient throughput.

3. Leverage data analytics to monitor, evaluate, and improve operational performance.

4. Design and implement patient-flow models that reduce bottlenecks and enhance care continuity.

5. Lead cross-functional teams to drive operational change and sustain improvements.

6. Navigate regulatory and financial constraints while maintaining operational excellence.

This course is ideal for:

• Hospital and Clinic Operations Directors/Managers.

• Healthcare Administrators and Department Heads.

• Nursing and Clinical Operations Leaders.

• Supply Chain and Logistics Managers in healthcare settings.

• Quality Improvement and Process Excellence Specialists.

• Healthcare Consultants focused on operational efficiency.

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a binder containing a copy of the presentation
• slides and handouts
• Post-assessment

Day 1: Foundations of Healthcare Operations Management

• Module 1: Introduction to Dynamic Operations in Healthcare: Challenges and Trends.

• Module 2: Principles of Lean Healthcare and Agile Management.

• Module 3: Mapping Operational Processes: Value Streams and Workflow Analysis.

• Workshop: Identifying Inefficiencies in a Clinical Workflow.

Day 2: Optimizing Resource Management and Throughput

• Module 4: Staffing Models and Workforce Optimization for Clinical and Non-Clinical Teams.

• Module 5: Capacity Planning: Managing Beds, OR Time, and Clinic Schedules.

• Module 6: Supply Chain and Inventory Management in Healthcare.

• Case Study: Reducing Patient Wait Times Through Resource Reallocation.

Day 3: Data-Driven Decision-Making in Operations

• Module 7: Key Performance Indicators (KPIs) for Healthcare Operations.

• Module 8: Using Data Analytics to Predict Demand and Manage Variability.

• Module 9: Dashboard Design and Real-Time Monitoring of Operational Metrics.

• Simulation: Analyzing Operational Data to Solve a Bottleneck Scenario.

Day 4: Patient Flow and Continuity of Care

• Module 10: Designing Efficient Patient Pathways from Admission to Discharge.

• Module 11: Coordinating Care Across Departments and Services.

• Module 12: Reducing Length of Stay and Preventing Readmissions Through Operational Tweaks.

• Workshop: Redesigning a Patient Journey for Maximum Efficiency.

Day 5: Leadership and Sustainable Implementation

• Module 13: Change Management for Operational Initiatives.

• Module 14: Creating a Culture of Continuous Improvement.

• Capstone Activity: Developing an Operational Improvement Plan for a Real-World Scenario.

• Course Conclusion: Action Planning, Certification, and Next Steps.