Healthcare Operations Management Training Course

Participants can map patient pathways and identify delays, handoffs, rework and failure points.

• SIPOC diagrams defining suppliers, inputs, process boundaries, outputs and customers
• Swimlane maps showing clinical, administrative and support-service responsibilities
• Value stream mapping from referral through treatment, discharge and follow-up
• Touch time, wait time and lead time calculations
• Handover analysis identifying information loss, duplication and unclear ownership
• Patient journey observations converted into measurable process requirements

Participants can analyse demand patterns and produce practical healthcare service forecasts.

• Demand segmentation by service type, urgency, acuity and patient cohort
• Historical volume trends separated from seasonal, weekly and daily variation
• Run charts revealing referral patterns, peaks and unusual demand shifts
• Moving averages and seasonal indices for short-term service forecasts
• No-show, cancellation and rescheduling rates incorporated into demand estimates
• Forecast assumptions documented with data sources, limitations and review dates

Participants can match demand with available resources and manage operational constraints.

• Capacity measures for beds, appointments, theatres, equipment and staff
• Effective capacity adjusted for breaks, training, maintenance and absenteeism
• Utilisation calculations distinguishing planned load from actual productive capacity
• Theory of Constraints applied to diagnostic, treatment and discharge bottlenecks
• Capacity cushions protecting urgent demand and clinically necessary variation
• Scenario plans comparing additional shifts, slots, staffing and service hours

Participants can improve appointment design, queue visibility and access to care.

• Little's Law linking work-in-progress, throughput and patient waiting time
• Queue types in emergency, outpatient, diagnostic and pharmacy services
• Appointment templates balancing urgent, routine, follow-up and protected slots
• Overbooking rules based on no-show probabilities and clinical risk
• Triage criteria directing patients to suitable service pathways
• Escalation triggers for breached waits, overcrowding and delayed assessments

Participants can use Lean methods to remove waste and improve patient flow.

• Lean principles translated into patient value, flow, pull and perfection
• TIMWOODS waste analysis for healthcare administrative and clinical support processes
• 5S controls for treatment rooms, stores, laboratories and medication areas
• Standard work documents defining repeatable tasks, sequence and expected timing
• Visual management boards displaying workload, constraints and daily priorities
• Kaizen improvement cycles focused on small, testable service changes

Participants can use DMAIC to investigate variation and improve service consistency.

• DMAIC stages applied to delayed service, defects and rework
• Critical-to-quality requirements derived from patient, clinician and commissioner needs
• Operational definitions preventing inconsistent data collection and reporting
• Pareto charts prioritising frequent defects, delays and complaint categories
• Fishbone diagrams examining people, methods, machines, materials and measurement
• Root cause validation using data rather than assumed explanations

Participants can design balanced dashboards that support timely operational decisions.

• Balanced scorecard measures for quality, access, finance, workforce and learning
• Leading indicators distinguishing early warnings from outcome measures
• Service-level measures for waits, turnaround, cancellations and utilisation
• Statistical process control charts separating common and special cause variation
• Metric definitions specifying numerator, denominator, source, owner and frequency
• Daily management dashboards supporting huddles, escalation and accountability

Participants can align operational controls with healthcare quality and governance requirements.

• Donabedian structure, process and outcome measures for service quality
• Clinical governance roles for assurance, improvement and professional accountability
• Audit cycles translating standards into evidence, findings and corrective actions
• Policy deployment linking organisational priorities to departmental operating measures
• Patient feedback analysis using complaints, surveys and experience narratives
• Quality review meetings with clear decisions, owners and due dates

Participants can assess operational risks and establish proportionate patient-safety controls.

• Failure Mode and Effects Analysis for high-risk service processes
• Risk priority numbers calculated from severity, occurrence and detection scores
• Incident reporting pathways for harm, near misses and unsafe conditions
• Bow-tie analysis connecting threats, controls, consequences and recovery actions
• Safety huddles escalating operational risks before patient harm occurs
• Risk registers assigning controls, owners, deadlines and assurance evidence

Participants can plan workforce deployment against service demand, skills and safety requirements.

• Workload indicators matching staffing demand with activity and patient acuity
• Skill-mix analysis across registered, support, technical and administrative roles
• Roster design considering demand peaks, fatigue, leave and competency coverage
• Cross-training plans reducing dependency on single individuals or roles
• Productivity measures interpreted alongside quality, safety and workforce wellbeing
• Daily staffing escalation for surges, absences and unexpected service pressures

Participants can manage bed flow and reduce delays across admission, care and discharge.

• Bed occupancy measures interpreted with acuity, turnover and discharge timing
• Admission pathways separating planned, emergency, transfer and observation demand
• Expected discharge dates established early within multidisciplinary care plans
• Criteria-led discharge reducing avoidable waits for routine clinical decisions
• Discharge barriers tracked across transport, medicines, referrals and social care
• Command-centre routines coordinating bed status, escalation and capacity actions

Participants can improve utilisation and turnaround in diagnostic and procedural services.

• Theatre utilisation separating scheduled, staffed, productive and overrunning time
• Turnaround-time analysis for imaging, laboratories, endoscopy and operating theatres
• First-case start reliability measured against published session start times
• Procedure scheduling based on duration data, urgency and preparation requirements
• Changeover standardisation reducing avoidable room downtime between patients
• Diagnostic result pathways controlling reporting delays and critical-result escalation

Participants can manage healthcare inventory to protect availability, cost and patient safety.

• ABC analysis prioritising inventory controls by annual consumption value
• VEN classification distinguishing vital, essential and non-essential clinical supplies
• Reorder points calculated from demand, lead time and safety stock
• Kanban replenishment signals for high-use consumables and standard supplies
• Cold-chain controls for temperature-sensitive medicines, vaccines and reagents
• Stock-out investigations tracing forecasting, ordering, storage and distribution failures

Participants can connect operational decisions with costs, budgets and service value.

• Fixed, variable and step costs within healthcare service delivery
• Activity-based costing for patient pathways, procedures and support services
• Budget variance analysis separating volume, price, mix and efficiency effects
• Cost-of-poor-quality estimates for rework, delays, errors and wastage
• Business cases comparing investment costs, benefits, risks and affordability
• Benefit realisation measures linked to approved operational improvement initiatives

Participants can specify useful operational data and use digital systems responsibly.

• Electronic health record data supporting flow, demand and capacity decisions
• Data quality checks for completeness, timeliness, accuracy and consistency
• Master data standards for services, locations, resources and patient categories
• Interoperability considerations between clinical, scheduling, laboratory and finance systems
• Data privacy controls for operational reports containing patient information
• Automation opportunities for reminders, routing, escalation and routine reporting

Participants can prepare operational responses to disruption, surges and service failures.

• Business continuity plans defining critical services, dependencies and recovery priorities
• Surge capacity triggers for epidemics, incidents and seasonal demand
• Incident command structures assigning operational authority and communication channels
• Contingency staffing plans for absenteeism, redeployment and partner support
• Service recovery plans following system downtime, backlog and facility disruption
• After-action reviews capturing lessons, actions and accountable improvement owners

Participants can lead healthcare operational change with stakeholder commitment and disciplined follow-through.

• Stakeholder mapping for clinicians, patients, unions, suppliers and senior leaders
• RACI matrices clarifying decision rights, responsibilities and escalation routes
• ADKAR change planning addressing awareness, desire, knowledge, ability and reinforcement
• Communication plans matching messages, channels, timing and stakeholder concerns
• Pilot design using Plan-Do-Study-Act cycles and predefined measures
• Implementation roadmaps sequencing approvals, training, controls and benefit reviews

Participants can build, review and present a complete healthcare operations improvement plan for a defined service problem.

• Problem statements defining affected patients, service scope and performance gap
• Baseline analysis combining pathway maps, demand data and capacity evidence
• Root causes prioritised through Pareto analysis, fishbone diagrams and validation
• Future-state design specifying workflow, roles, controls and resource requirements
• Implementation plan covering milestones, risks, measures, governance and communications
• Stakeholder presentation defending recommendations, assumptions, expected benefits and next steps