Hospital & Healthcare Management

Chapter 14
Strategy, Resilience and the Future of Healthcare

Advance Diploma in Hospital Management
Hospital & Healthcare Management   •   Advance Diploma

Strategy, Resilience and the Future of Healthcare

Introduction and Context

Healthcare organisations operate in an environment characterised by demographic change, rising expectations, constrained resources, technological disruption, workforce shortages, climate-related hazards and increasing regulatory scrutiny. Hospitals must therefore do more than provide episodic treatment. They must design services that are clinically effective, financially responsible, equitable, digitally secure and resilient under stress.

Healthcare strategy is the disciplined process of deciding an organisation’s long-term direction, priorities, capabilities and resource allocation. It links mission and values to measurable action. Resilience is the capacity to anticipate disruption, absorb its effects, maintain essential functions, adapt operations and learn after the event. These ideas are closely connected: a strategy that ignores emergencies is incomplete, while emergency preparedness without strategic integration often becomes a collection of uncoordinated plans.

This chapter examines practical frameworks for strategic analysis and implementation, including SWOT, PESTLE, stakeholder analysis, balanced scorecards and change-management models. It then applies these tools to emergency preparedness, sustainability, value-based care, public-private partnerships, artificial intelligence governance, automation and emerging models of care.

Learning Objectives

By the end of this chapter, the learner should be able to:

  1. Explain the relationship between strategy, resilience, governance and healthcare performance.
  2. Apply SWOT, PESTLE and stakeholder analysis to a hospital or health system.
  3. Construct meaningful objectives and indicators using the balanced scorecard.
  4. Compare major change-management frameworks and select an appropriate approach.
  5. Design strategic responses to emergencies, disasters and operational disruptions.
  6. Evaluate sustainability, value-based care and public-private partnerships.
  7. Identify governance requirements for artificial intelligence and automation.
  8. Assess emerging models of care and their implications for hospital managers.

1. Strategic Thinking in Healthcare

A hospital strategy should answer five questions:

  • What health needs and problems are we trying to address?
  • For whom are services provided, and how equitable are they?
  • What outcomes define success?
  • Which capabilities and partnerships are required?
  • How will priorities be financed, implemented and reviewed?

A useful distinction exists between strategic intent, strategy, tactics and operations. Strategic intent expresses the desired future position. Strategy explains how the organisation will achieve it. Tactics are short- to medium-term choices supporting the strategy, while operations concern the daily delivery of services.

Healthcare strategy differs from strategy in many commercial industries because hospitals have multiple and sometimes competing purposes. They must care for patients, educate professionals, contribute to research, protect public health, meet legal obligations and remain financially viable. Their performance cannot be judged by profit alone. Quality, access, safety, patient experience, population health, staff wellbeing and stewardship of public resources are also central.

A sound strategy normally includes:

  • a mission explaining organisational purpose;
  • a vision describing a desirable future state;
  • values guiding behaviour and decisions;
  • a situational analysis;
  • strategic priorities;
  • objectives and indicators;
  • a resource and implementation plan; and
  • a system for review, learning and correction.

Strategy is not a static document. It is a cycle of diagnosis, choice, action, measurement and adaptation. Excessively rigid plans can fail when demand, technology, regulation or public-health conditions change.

2. Environmental and Organisational Analysis

2.1 PESTLE analysis

PESTLE examines external conditions that may create opportunities or threats:

DimensionHealthcare questionsExamples
PoliticalWhat policies, priorities and public commitments affect the organisation?National insurance reform, regional health plans
EconomicWhat affects affordability, revenue and resource availability?Inflation, workforce costs, reimbursement changes
SocialHow are population expectations and health behaviours changing?Ageing, migration, health literacy
TechnologicalWhich technologies alter clinical and administrative work?Telehealth, robotics, AI, interoperable records
LegalWhat rights, duties and standards must be observed?Consent, privacy, licensing, competition law
EnvironmentalWhich ecological conditions affect health and operations?Flooding, heat, air pollution, energy use

PESTLE is most useful when evidence is attached to each factor and the implications are assessed. A list of trends is not a strategy. Managers should ask whether each factor is likely to have a high or low impact, whether its timing is near or distant, and whether the organisation can influence it.

2.2 SWOT analysis

SWOT combines internal and external analysis:

  • Strengths are internal capabilities, such as specialist expertise, a trusted brand or reliable emergency capacity.
  • Weaknesses are internal limitations, such as fragmented information systems, high turnover or long waiting times.
  • Opportunities are external conditions that can be used advantageously, such as a new partnership or funding programme.
  • Threats are external conditions that may damage performance, such as infectious disease outbreaks, cyberattacks or supplier failure.

The framework becomes more valuable when it leads to strategic choices. A hospital might use a strength in emergency medicine to exploit an opportunity for regional trauma networking. Alternatively, it might reduce a weakness in data quality because the weakness prevents effective value-based contracting.

SWOT has limitations. It may encourage simplistic classification, subjective opinions and an untested assumption that internal strengths automatically create advantage. It should therefore be supported by data, patient and staff perspectives, financial analysis and scenario planning.

2.3 Stakeholder analysis

Stakeholders are individuals or groups who affect, or are affected by, healthcare decisions. They may include patients, families, clinicians, nurses, managers, regulators, governments, insurers, suppliers, universities, community organisations, unions and the wider public.

A power–interest matrix is a practical tool:

Stakeholder positionManagement response
High power, high interestEngage closely; involve in key decisions
High power, low interestKeep satisfied; provide concise assurance
Low power, high interestKeep informed; create meaningful participation
Low power, low interestMonitor with proportionate communication

Power should not be interpreted narrowly. A patient group may have limited formal authority but significant moral legitimacy, public influence or knowledge of lived experience. Stakeholder analysis should therefore consider formal power, expertise, dependence, legitimacy, urgency and the risk of exclusion.

Effective engagement is more than consultation after decisions have been made. Co-design, patient-reported outcomes, community advisory boards and participatory budgeting can improve relevance and trust. Managers should document whose views were considered, how conflicts were handled and why final decisions were reached.

3. Turning Strategy into Measurable Performance

3.1 The balanced scorecard

The balanced scorecard translates strategy into objectives and measures across four commonly used perspectives:

  1. Financial or stewardship: sustainability, cost control and responsible use of resources.
  2. Patient and community: access, safety, experience, equity and outcomes.
  3. Internal processes: clinical reliability, flow, infection prevention and coordination.
  4. Learning and growth: workforce capability, culture, innovation and information systems.

The perspectives are not independent. For example, investment in staff training may improve adherence to clinical protocols, which can improve patient outcomes and reduce avoidable costs. A scorecard should show these strategic relationships rather than become a long list of disconnected indicators.

A good objective is specific enough to guide action but not so narrow that it encourages gaming. Indicators should have a defined numerator, denominator where relevant, population, time period, data source, owner and reporting frequency. Targets should be challenging but credible.

For a proportion or rate, the general form is:

Rate = (Number of events or cases ÷ Defined population) × 10k

Here, 10^k is a reporting multiplier such as 100, 1,000 or 100,000. The numerator and denominator must refer to compatible populations and time periods. A rate is meaningful only when its case definition and data quality are stable.

For example, if 18 of 600 eligible patients receive a documented medication-reconciliation review, the percentage is:

(18 ÷ 600) × 100 = 3%

The result is 3%, assuming all 600 patients were eligible and the numerator is correctly defined. A manager should not interpret this percentage without checking whether documentation reflects actual practice.

A balanced scorecard for a hospital might include:

PerspectiveStrategic objectivePossible indicator
PatientImprove safetyMedication-harm events per 1,000 patient-days
PatientImprove equityWaiting-time difference between population groups
ProcessImprove flowMedian emergency-department length of stay
LearningRetain staffAnnual voluntary turnover rate
StewardshipImprove efficiencyCost per risk-adjusted case
CommunityReduce avoidable admissionsAmbulatory-care-sensitive admissions

Unintended consequences must be monitored. Reducing length of stay, for example, may increase readmissions if discharge planning is inadequate. Measures should therefore be balanced with countermeasures such as readmission rates, patient experience and post-discharge harm.

4. Implementing Change

Healthcare change involves professional identity, clinical autonomy, routines, technology, risk and power. Resistance is not always irrational. It may indicate that a proposed change is unsafe, poorly designed, under-resourced or inconsistent with professional values.

4.1 Kotter’s approach

Kotter’s widely used model describes eight broad steps: establish urgency; build a guiding coalition; form a strategic vision; enlist participation; remove barriers; create short-term wins; sustain acceleration; and anchor the change in organisational culture. The model is useful for large-scale transformation, although real change is rarely strictly linear.

4.2 Lewin’s three-stage model

Lewin conceptualised change as unfreezing, changing and refreezing. Unfreezing challenges existing assumptions and creates readiness. Changing introduces new behaviours, systems or structures. Refreezing stabilises the new state through policy, training, incentives and feedback. In contemporary healthcare, “refreezing” should not mean permanent rigidity; continuous improvement may require a stable direction with flexible methods.

4.3 ADKAR and implementation practice

The ADKAR model focuses on the individual: awareness, desire, knowledge, ability and reinforcement. It is helpful when a technically sound programme fails because staff do not understand its purpose or cannot perform the new process.

Regardless of framework, effective implementation usually requires:

  • a clear case for change linked to patient and staff needs;
  • clinical and operational leaders who model the new behaviour;
  • early involvement of those doing the work;
  • training, protected time and usable technology;
  • pilot testing and rapid feedback;
  • psychological safety for reporting problems; and
  • reinforcement through supervision, measurement and recognition.

Implementation should distinguish fidelity from adaptation. Fidelity preserves essential components of an intervention. Adaptation changes delivery to fit local circumstances. Both are necessary: excessive adaptation can remove the intervention’s effective mechanism, while excessive fidelity can make it impractical.

5. Resilience, Emergency Preparedness and Disaster Response

Resilience is a capability, not merely a written emergency plan. A resilient hospital can continue critical functions while conditions are unstable and can recover without transferring disproportionate harm to patients, staff or the community.

5.1 The emergency management cycle

The cycle commonly includes mitigation, preparedness, response and recovery.

  • Mitigation reduces the probability or impact of hazards, for example flood barriers, infection-control infrastructure or cyber-security controls.
  • Preparedness develops plans, training, stockpiles, agreements, exercises and communication systems.
  • Response activates command, triage, clinical surge, logistics, security and public communication.
  • Recovery restores services, supports staff and patients, repairs infrastructure and captures lessons.

Hazard vulnerability analysis ranks threats by likelihood, impact, preparedness and interdependence. Important hazards include infectious outbreaks, mass casualties, fire, flood, extreme heat, power failure, water interruption, cyberattack, supply disruption and violence.

5.2 Continuity and command

Business-continuity planning identifies essential services, dependencies, minimum staffing, alternative sites, critical suppliers, data-recovery arrangements and acceptable interruption periods. Plans should address oxygen, electricity, water, medicines, blood products, laboratory services, communications, transport and waste management.

An incident-management structure clarifies authority and avoids multiple competing instructions. It commonly includes incident leadership, operations, planning, logistics, finance or administration, clinical coordination and communications. Roles must be assigned before an incident, with deputies and succession arrangements.

Exercises should include discussion-based scenarios and operational simulations. After-action reviews should ask what happened, why it happened, what worked, what failed and which actions have an accountable owner and completion date. Blame-oriented reviews suppress learning.

Ethical triage may become necessary when demand exceeds capacity. Decisions should be based on transparent, clinically relevant criteria rather than social worth, disability stereotypes, wealth or political influence. Policies should be legally reviewed and communicated in advance.

6. Sustainability and Value-Based Care

Healthcare contributes to environmental pressures through energy use, procurement, travel, construction, pharmaceuticals and waste. Sustainability means meeting present health needs while protecting the environmental, social and economic conditions required for future health.

Operational strategies include energy efficiency, renewable power where feasible, sustainable procurement, waste segregation, reusable products when safe, water conservation, low-carbon transport and climate-resilient infrastructure. Sustainability should not compromise infection prevention or patient safety. Life-cycle assessment is preferable to judging products only by purchase price.

A climate-resilient hospital also considers heat stress, flooding, smoke, vector-borne disease, food insecurity and disruption of vulnerable communities. The health sector should reduce emissions while preparing for unavoidable climate effects.

Value-based care focuses on outcomes that matter to patients relative to the resources used. A simplified conceptual relationship is:

Value = Outcomes that matter to patients ÷ Cost of delivering those outcomes

This is a conceptual ratio rather than a universally agreed accounting formula. “Outcomes” should include clinical outcomes, function, quality of life, safety and experience; “cost” should reflect the relevant time horizon and care pathway. The measure is meaningful only when patients are appropriately defined, outcomes are risk-adjusted where necessary and costs are measured consistently.

Value-based care may support bundled payments, integrated pathways, shared decision-making and prevention. However, poorly designed payment incentives can encourage patient selection, under-treatment, excessive coding or avoidance of complex cases. Equity adjustments, audit and quality safeguards are essential.

7. Public–Private Partnerships

A public–private partnership (PPP) is a structured arrangement in which public and private organisations share responsibilities, resources, risks and benefits in delivering infrastructure or services. Examples include diagnostic services, hospital construction, information systems, logistics and specialized clinical programmes.

A PPP should be assessed against a realistic public-sector alternative, not against an idealised assumption that private participation is automatically efficient. Due diligence should examine:

  • public-interest objectives and access obligations;
  • value for money over the whole contract life;
  • risk allocation and the party best able to manage each risk;
  • service-quality standards and monitoring;
  • transparency, procurement integrity and conflicts of interest;
  • workforce conditions and continuity;
  • data ownership, privacy and cyber-security; and
  • exit, renegotiation and failure arrangements.

A contract must specify measurable service levels, reporting duties, remedies, audit rights and procedures for handling demand changes. Hidden liabilities, weak accountability and poorly understood long-term costs can make a PPP harmful even when early implementation appears successful.

8. AI Governance and Automation

Artificial intelligence may support diagnosis, risk prediction, scheduling, documentation, coding, supply management and patient communication. Automation can reduce repetitive work and improve consistency, but it can also introduce bias, unsafe delegation, privacy violations, deskilling and opaque decision-making.

AI governance should cover the complete life cycle:

  1. Define the clinical or operational problem and determine whether AI is necessary.
  2. Assess evidence, intended use, contraindications and foreseeable harms.
  3. Examine data quality, representativeness, provenance and consent.
  4. Validate performance in the local population and workflow.
  5. Establish human oversight, escalation and override procedures.
  6. Monitor accuracy, drift, subgroup performance, incidents and user behaviour.
  7. Maintain version control, documentation, audit trails and an exit plan.

Important principles include human accountability, transparency appropriate to the risk, privacy, security, fairness, explainability, contestability and proportionality. A model that performs well overall may perform poorly for a minority group. Therefore, reporting should examine subgroup outcomes rather than only average accuracy.

Automation should be designed around work systems, not simply installed as a technology project. Managers must ask who is responsible when an automated recommendation is wrong, how staff can challenge it, whether patients are informed, and how downtime will be managed. Regulatory requirements vary by jurisdiction; local law and professional standards always apply.

9. Emerging Models of Care

The future of healthcare is likely to involve a portfolio of connected models rather than one replacement for the hospital. These include:

  • Virtual wards and hospital-at-home, using clinical monitoring and rapid escalation for selected patients.
  • Telehealth and remote monitoring, improving access when connectivity, digital literacy and clinical suitability are addressed.
  • Integrated care, coordinating hospitals, primary care, social care and community services around patient needs.
  • Ambulatory and same-day care, reducing unnecessary admission.
  • Precision and population health, combining clinical information, genomics where appropriate and social determinants.
  • Retail and community-based services, which may improve convenience but require quality and referral safeguards.
  • Platform and network models, in which organisations share data, specialist expertise and capacity.

Each model raises questions about inclusion, workforce roles, reimbursement, clinical responsibility, data interoperability and the boundary between care and surveillance. Digital transformation can widen inequity if services assume reliable internet access, private space, modern devices or high health literacy.

Strategic planning should use scenarios rather than a single forecast. A hospital can consider high, moderate and disruptive scenarios involving demand, workforce, technology, regulation and climate. For each, it should identify early warning indicators, no-regret investments and decisions that should be postponed until better evidence is available.

10. Integrated Application: Illustrative Case

Background

Riverside Regional Hospital is a 420-bed public hospital serving an ageing population and several rural communities. Emergency-department crowding is persistent, nurse turnover is increasing and a recent flood interrupted access to one clinical building. The hospital has introduced electronic records but information exchange with primary care is limited.

Problem

The board proposes a digital virtual-ward programme to support selected patients at home and reduce avoidable admissions. Staff are concerned about workload, patient safety and unequal access. A private technology company has offered a partnership involving monitoring devices, analytics and a three-year service contract.

Analysis

A PESTLE review identifies policy support for integrated care, rising technology costs, privacy obligations, ageing and rural access barriers, as well as increasing climate risk. SWOT identifies strong community trust and experienced physicians as strengths, but fragmented data and limited digital support as weaknesses. Opportunities include collaboration with primary care and home-care agencies; threats include cyberattack, vendor dependence and exclusion of patients without connectivity.

Stakeholder analysis places patients, families, nurses, primary-care clinicians and regulators in the high-interest group. The private company has high influence but should not define the public-interest objectives. Rural community organisations and disability advocates are essential participants even if they have limited formal power.

Approach and solution

The hospital develops a phased strategy:

  1. Co-design eligibility criteria with patients and clinicians.
  2. Begin with a small clinical pathway for stable patients with clear escalation rules.
  3. Provide a telephone and in-person alternative for patients unable to use digital devices.
  4. Require interoperability, data ownership, audit access, breach notification and contract-exit provisions.
  5. Establish a clinical governance committee with patient representation.
  6. Train staff and define who reviews alerts, at what interval and with what response time.
  7. Pilot the service for six months before expansion.

The balanced scorecard includes readmissions, patient-reported experience, safety incidents, equity of access, staff workload, response time to alerts, total pathway cost and carbon effects from reduced travel. Success is not defined solely by fewer admissions.

Outcome

After the pilot, the hospital reports improved patient confidence and fewer unplanned visits among suitable participants, but identifies excessive low-value alerts and lower participation among patients with limited digital access. The programme is redesigned with better alert thresholds, community digital support and additional telephone follow-up. The contract is expanded only after the supplier accepts stronger performance and audit conditions.

Learning points

The case demonstrates that strategic innovation requires more than purchasing technology. Environmental analysis, stakeholder engagement, clinical governance, equity safeguards, resilience planning, measurement and contractual discipline must be integrated. Pilot learning should alter the strategy rather than be treated as a threat to it.

11. Challenges, Limitations and Best Practice

Strategic management can fail through poorly defined problems, excessive optimism, weak data, short-term financial pressure or leadership changes. Frameworks such as SWOT and PESTLE structure thinking but do not eliminate judgement. Balanced scorecards can become bureaucratic, and targets can distort behaviour. Change models may appear linear when healthcare change is iterative and political.

Best practice includes:

  • connect strategy to population needs and organisational purpose;
  • use multiple evidence sources, including lived experience;
  • distinguish outcomes from activity and volume;
  • assign accountable owners and resources to every priority;
  • test assumptions through pilots and scenarios;
  • protect equity and patient safety when introducing efficiency measures;
  • monitor unintended consequences;
  • maintain transparent governance of partnerships and technology;
  • rehearse disruption and update continuity plans;
  • support staff wellbeing, learning and psychological safety; and
  • review strategy regularly in light of evidence and changing conditions.

Ethically, strategic choices must address distributive justice, autonomy, privacy, accountability and intergenerational responsibility. A hospital may be financially successful yet ethically unacceptable if it systematically excludes complex or disadvantaged patients. Conversely, a programme intended to improve access may create new risks if it is implemented without clinical safeguards.

Chapter Summary

Healthcare strategy integrates purpose, environmental analysis, organisational capabilities, resource choices and measurable implementation. PESTLE identifies external forces; SWOT connects internal capabilities with external opportunities and threats; stakeholder analysis supports legitimate and practical decision-making. The balanced scorecard translates strategic priorities into linked measures covering patients, processes, learning and stewardship.

Resilient hospitals prepare for disruption through mitigation, preparedness, response and recovery. They maintain critical dependencies, exercise plans, clarify command and learn without blame. Sustainability requires both lower environmental impact and adaptation to climate hazards. Value-based care links outcomes that matter to patients with the resources used, but requires careful measurement and equity safeguards.

Public-private partnerships can provide capacity and expertise when accountability, risk allocation and long-term value are protected. AI and automation require life-cycle governance, human oversight, data protection, bias monitoring and clear responsibility. Emerging models such as virtual wards, integrated care and hospital-at-home offer opportunities, but must be designed around patient suitability, inclusion, workforce capability and resilience. Strategic leadership is therefore an ongoing process of evidence-informed choice, implementation, learning and adaptation.

Key Terms

Strategic intent: The desired long-term direction that guides organisational choices.

Resilience: The capacity to anticipate, absorb, adapt to and recover from disruption.

PESTLE: Analysis of political, economic, social, technological, legal and environmental factors.

SWOT: Analysis of strengths, weaknesses, opportunities and threats.

Stakeholder: A person or group affected by, or able to affect, an organisation or decision.

Balanced scorecard: A framework linking strategy to measures across several performance perspectives.

Value-based care: Care focused on outcomes that matter to patients relative to resources used.

Business continuity: The capability to maintain essential services during disruption.

Mitigation: Action that reduces the likelihood or impact of a hazard.

Preparedness: Planning, training and resourcing undertaken before an emergency.

Incident management: Coordinated leadership and operational control during an incident.

Scenario planning: Exploration of plausible alternative futures to improve preparedness.

Public-private partnership: A structured collaboration between public and private organisations.

Artificial intelligence governance: Policies and controls governing safe, ethical and accountable AI use.

Automation: Use of technology to perform tasks with reduced direct human intervention.

Interoperability: The ability of systems and organisations to exchange and use information effectively.

Change management: The organised process of enabling adoption of new practices, systems or structures.

Virtual ward: A coordinated model providing hospital-level monitoring and treatment outside a traditional hospital bed.

Equity: Fair opportunity for health and fair treatment according to need.

Review Questions

Short Answer Questions

  1. Distinguish strategy, tactics and operations in a hospital context.
  2. What are the four broad perspectives of a balanced scorecard?
  3. Explain the difference between mitigation and preparedness.
  4. Why should stakeholder analysis consider more than formal power?
  5. State four principles of responsible AI governance in healthcare.

Long Answer Questions

  1. Explain how PESTLE and SWOT can be combined to develop a hospital strategy.
  2. Discuss the value and limitations of the balanced scorecard in healthcare management.
  3. Describe the emergency-management cycle and its application to a hospital flood.
  4. Evaluate the advantages and risks of public-private partnerships in healthcare.
  5. Explain how sustainability and value-based care can be integrated into strategic planning.

Analytical / Application Questions

  1. A hospital has strong clinical expertise but fragmented data, rising staff turnover and increasing demand for virtual care. Construct a concise SWOT analysis and recommend three strategic priorities.
  2. Design a balanced-scorecard measurement set for a hospital-at-home pilot, including at least one patient, process, learning, stewardship and equity indicator.
  3. A proposed AI deterioration-prediction tool performs well overall but poorly for older patients from a minority language group. Analyse the governance risks and recommend actions before deployment.

Multiple Choice Questions with Answers

Question 1

Which framework examines political, economic, social, technological, legal and environmental influences?

A. SWOT

B. PESTLE

C. ADKAR

D. Balanced scorecard

Correct Answer: B. PESTLE

Question 2

In a power–interest matrix, stakeholders with high power and high interest should generally be:

A. Monitored only

B. Kept informed through occasional updates

C. Engaged closely in key decisions

D. Excluded from operational discussions

Correct Answer: C. Engaged closely in key decisions

Question 3

Which balanced-scorecard perspective most directly concerns workforce capability and organisational learning?

A. Learning and growth

B. Patient and community

C. Financial stewardship

D. Internal processes

Correct Answer: A. Learning and growth

Question 4

The emergency-management activity that reduces the probability or impact of a hazard is called:

A. Recovery

B. Response

C. Mitigation

D. Refreezing

Correct Answer: C. Mitigation

Question 5

Which statement best describes value-based care?

A. Maximising the number of services delivered

B. Improving outcomes that matter to patients relative to resources used

C. Reducing all healthcare expenditure regardless of outcome

D. Replacing clinical judgement with financial targets

Correct Answer: B. Improving outcomes that matter to patients relative to resources used

Question 6

In responsible AI governance, local validation is important because:

A. A model’s published results always guarantee local safety

B. Local populations and workflows may differ from development settings

C. Validation removes the need for human oversight

D. It allows privacy obligations to be ignored

Correct Answer: B. Local populations and workflows may differ from development settings

Question 7

Which is an example of a business-continuity dependency?

A. A hospital’s logo

B. A critical oxygen supply

C. A promotional slogan

D. A ceremonial event

Correct Answer: B. A critical oxygen supply

Question 8

In Lewin’s model, ‘unfreezing’ primarily involves:

A. Creating readiness to challenge existing practices

B. Permanently ending all adaptation

C. Purchasing new equipment

D. Auditing only financial results

Correct Answer: A. Creating readiness to challenge existing practices

Question 9

Why should a public-private partnership include exit and failure arrangements?

A. To eliminate all public accountability

B. To prepare for underperformance, insolvency or changing needs

C. To prevent any performance monitoring

D. To ensure the contract cannot be reviewed

Correct Answer: B. To prepare for underperformance, insolvency or changing needs

Question 10

A hospital records 18 documented medication-reconciliation reviews among 600 eligible patients. What percentage is this?

A. 0.3%

B. 3%

C. 30%

D. 33.3%

Correct Answer: B. 3%

Hospital & Healthcare Management
Chapter 14 of 14