Healthcare Delivery Management Training Course

Participants can translate a service mandate into strategic priorities, measures and initiatives.

• Mission, service mandate and strategic objectives translated into measurable priorities
• PESTLE and stakeholder analysis inform service strategy assumptions
• SWOT findings converted into TOWS strategic options
• Logic models link inputs, activities, outputs, outcomes and impact
• Balanced Scorecard perspectives adapted for healthcare delivery organisations
• Strategic initiatives sequenced against dependencies, resources and governance

Participants can establish clear governance, decision rights and risk oversight for healthcare services.

• Board, executive and clinical governance accountabilities distinguished using RACI
• Terms of reference define decision rights, quorum and escalation
• Risk appetite statements guide operational and clinical risk decisions
• Three lines model assigns assurance and control responsibilities
• Clinical audit, incident review and mortality meetings strengthen oversight
• Delegations of authority align spending approvals with accountability

Participants can prepare and monitor service budgets using healthcare funding and costing methods.

• Healthcare funding flows traced from budget allocation to provider payment
• Line-item, capitation, case-based and fee-for-service incentives compared
• Service budgets built from activity, staffing, supplies and overhead assumptions
• Variance analysis separates volume, price, mix and efficiency effects
• Costing uses step-down allocation and unit-cost calculations
• Business cases appraise affordability, cash consequences and implementation costs

Participants can match workforce capacity and skill mix to expected service demand.

• Workforce plans align demand forecasts with skills, rosters and budgets
• Workload Indicators of Staffing Need estimate required clinical staffing
• Skill-mix analysis identifies tasks suitable for delegation or redesign
• Roster design accounts for acuity, leave, fatigue and coverage
• Absence, turnover and vacancy metrics reveal retention priorities
• Performance conversations use role standards, evidence and development actions

Participants can diagnose patient-flow constraints and plan capacity responses using operational data.

• Patient flow mapped from arrival, assessment, treatment and discharge
• Value-stream mapping exposes waits, handoffs, queues and rework
• Little's Law connects work-in-progress, throughput and waiting time
• Demand-capacity matching uses arrival patterns, acuity and staffing data
• Bottleneck management protects constrained resources and downstream flow
• Standard work defines reliable handoffs, escalation triggers and ownership

Participants can strengthen referrals, transfers and discharge processes across care settings.

• Referral protocols define eligibility, information requirements and acceptance criteria
• Discharge planning begins at admission with multidisciplinary accountability
• Care coordination roles prevent duplication, omission and avoidable readmission
• SBAR structures critical communication during transfers and escalation
• Case management targets patients with complex needs and high utilisation
• Closed-loop referrals confirm appointment completion and feedback to senders

Participants can assess access barriers and use patient experience evidence to improve services.

• Access measures distinguish availability, affordability, acceptability and timeliness
• Equity stratifiers reveal outcome gaps by geography, income and gender
• Patient journey mapping captures barriers, emotions and service failures
• Experience data combine complaints, surveys, interviews and observation
• Co-design methods involve patients, families and community representatives
• Interpreter, disability and safeguarding needs inform inclusive service design

Participants can define quality measures and use variation data to target improvement.

• Donabedian's structure-process-outcome model frames service quality measurement and improvement
• Institute of Medicine quality domains guide balanced improvement aims
• Clinical indicators specify numerator, denominator, exclusions and data source
• Run charts distinguish common-cause variation from special-cause signals
• Benchmarking compares case-mix-adjusted performance with relevant peer services
• Quality dashboards pair outcome measures with process and balancing measures

Participants can manage incident learning and reduce preventable safety risks.

• Just culture separates human error, at-risk behaviour and recklessness
• Incident reporting systems capture near misses, harm and learning
• Root cause analysis tests contributing factors after significant incidents
• Failure Mode and Effects Analysis anticipates process risks
• Safety huddles surface daily risks, capacity pressures and escalation needs
• Swiss cheese model explains defences, latent conditions and adverse events

Participants can organise infection control and continuity arrangements during service disruptions.

• Standard precautions govern hand hygiene, personal protective equipment and sharps
• Healthcare-associated infection surveillance defines cases, rates and reporting thresholds
• Outbreak management assigns command roles, communications and control measures
• Incident command system coordinates operational response during major emergencies
• Business continuity plans protect essential services during disruption
• After-action reviews convert emergency lessons into corrective actions

Participants can manage essential supplies using demand, inventory and supplier performance controls.

• Category management links clinical specifications, demand forecasts and sourcing plans
• ABC-VEN analysis prioritises medicines by value and clinical criticality
• Reorder points combine consumption, lead time, safety stock and variability
• Cold-chain controls protect temperature-sensitive products from receipt through administration
• Supplier performance scorecards track fill rates, quality and delivery reliability
• Segregation of duties reduces fraud risks in purchasing processes

Participants can assess data quality and build reporting that supports management decisions.

• Data governance assigns ownership, quality rules, access and retention
• Routine health information systems assessed for completeness, timeliness and accuracy
• Dashboard design matches metrics, users, decisions and review cadence
• Interoperability concepts cover standards, identifiers, messaging and clinical terminology
• Electronic health record workflows assessed for safety and usability
• Data protection controls address consent, minimum necessary access and breaches

Participants can plan safe adoption of digital systems within healthcare service workflows.

• Digital health business cases define users, workflows, costs and benefits
• Requirements gathering distinguishes must-have functions from desirable features
• Workflow redesign precedes configuration of electronic clinical systems
• User acceptance testing validates scenarios, permissions and exception handling
• Training plans combine role-based instruction, super-users and floor support
• Downtime procedures preserve safe care during system outages

Participants can prepare stakeholders and organise implementation for healthcare service change.

• ADKAR assesses awareness, desire, knowledge, ability and reinforcement
• Stakeholder mapping identifies sponsors, champions, resistors and affected groups
• Project charters define scope, benefits, milestones, risks and governance
• Work breakdown structures convert improvement aims into accountable tasks
• Communication plans match messages, channels, timing and audience concerns
• Resistance handled through listening, evidence, involvement and local adaptation

Participants can test, measure and sustain service improvements using structured improvement methods.

• Model for Improvement links aims, measures and change ideas
• PDSA cycles test changes on small scale before adoption
• Process measures confirm whether redesigned work occurs as intended
• Balancing measures detect unintended consequences for staff or patients
• Pareto charts focus improvement effort on frequent causes
• Control plans sustain gains through ownership, monitoring and response rules

Participants can run performance reviews that lead to accountable decisions and follow-up.

• Performance review cycles connect targets, evidence, decisions and follow-up
• SMART indicators define baselines, targets, owners and reporting frequency
• Traffic-light status reporting clarifies exceptions requiring management intervention
• Driver diagrams connect outcome aims with primary and secondary drivers
• Management meetings use action logs, deadlines and accountability checks
• Escalation protocols specify thresholds, recipients, response times and documentation

Participants can lead multidisciplinary teams through operational pressures and service improvement work.

• Situational leadership adapts direction and support to staff readiness
• Psychological safety enables speaking up about risks and failures
• Daily management systems connect frontline huddles with executive escalation
• Team charters clarify purpose, roles, norms and decision methods
• Conflict resolution separates interests, positions, evidence and options
• Coaching questions build accountability for agreed service improvements

Participants can assemble evidence, options and implementation arrangements for a service redesign proposal.

• Service redesign briefs define population, problem, scope and intended outcomes
• Baseline packs combine demand, capacity, quality, cost and experience evidence
• Option appraisal weighs benefits, risks, resources and implementation feasibility
• Benefits-realisation maps connect interventions, outputs and measurable outcomes
• Implementation roadmaps sequence pilots, scale-up, governance and review points
• Readiness assessments test sponsorship, capability, data and operational capacity
• Decision papers present recommendations, alternatives, costs and approval requirements

Participants can build, review and present a complete healthcare service-delivery improvement plan.

• Service-delivery problem statement grounded in local demand, quality and flow data
• Baseline analysis combines stakeholder, process, workforce, finance and risk findings
• Priority intervention selected using impact-effort and feasibility criteria
• Implementation plan specifies milestones, owners, resources, dependencies and governance
• Measurement plan defines outcome, process, balancing and equity indicators
• Risk register, communications plan and sustainability controls support execution
• Peer review tests assumptions, clarity, feasibility and decision readiness
• Executive presentation defends recommendations, trade-offs, costs and expected benefits