Abstract
Objectives
To conduct a proactive failure mode and effects analysis (FMEA) of patient safety risks arising from acute fuel and liquefied petroleum gas (LPG) shortage at a quaternary-care hospital in a modelled geopolitical conflict scenario and to produce a tiered preparedness framework.
Design
Proactive process FMEA using the Institute for Healthcare Improvement (IHI) Healthcare FMEA framework. Risk priority numbers (RPNs) were computed as severity (S)×occurrence (O)×detection (D), each scored 1–10.
Setting
A 455-bed quaternary-care hospital in South India.
Methods
A multidisciplinary team (infectious diseases, quality, engineering, dietetics, nursing, pharmacy) mapped 10 hospital departments across six structured sessions. The hazard scenario modelled a US–Iran war causing Strait of Hormuz closure and acute national fuel and LPG supply shock. Each failure mode was scored on S, O and D; RPN risk bands were defined as Critical (≥200), High (150–199), Medium (100–149) and Low (<100).
Results
62 failure modes were identified across 10 departments (RPN range 70–252; mean 143.3). 5 failure modes were Critical, 17 High, 34 Medium and 6 Low. The Generator/Power Backup department recorded the highest mean RPN (171.0), functioning as a systemic root-cause amplifier propagating risk across seven other departments. Laundry Services contained the highest-scoring individual failure mode (operating theatre/intensive care unit linen sterilisation failure, RPN 240); Kitchen Services—entirely LPG-dependent—recorded a mean RPN of 163.4. Critical clinical consequences, including ventilator failure, haemodialysis shutdown and emergency surgical cancellation, were traceable upstream to generator dependency.
Conclusions
Fuel and LPG shortage in a conflict scenario generates cascading, multisystem patient safety failures. Generator continuity is the paramount mitigation target. Kitchen and laundry services carry infection-control risks comparable in magnitude to clinical departments. A proactively constructed, RPN-stratified response framework is essential for hospital resilience in geopolitical emergencies.
Keywords: Accreditation; Decision making; Efficiency, Organizational
WHAT IS ALREADY KNOWN ON THIS TOPIC
Hospital operations are critically dependent on uninterrupted energy supply, and conflict-related disruptions to health infrastructure have caused preventable mortality in Gaza, Lebanon and Ukraine. Existing literature on hospital energy resilience focuses predominantly on natural disaster scenarios, with limited attention to the supply-chain dynamics of fuel or liquefied petroleum gas (LPG) shortage arising from geopolitical conflict.
WHAT THIS STUDY ADDS
This is, to the authors’ knowledge, the first published failure mode and effects analysis specifically examining the patient safety impact of fuel and LPG shortage across the full spectrum of hospital departments—including kitchen, laundry, heating, ventilation and air conditioning, boiler and biomedical waste services—using a geopolitical conflict scenario. Generator dependency is identified as a systemic root-cause amplifier propagating risk across seven distinct departments, while kitchen and laundry services carry Critical or High infection-control risks equal to or exceeding those of many clinical departments, establishing these as non-negotiable infection-control infrastructure.
HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICY
Hospital disaster management plans should incorporate dedicated fuel and LPG contingency protocols, explicitly recognising kitchen and laundry as infection-control-critical infrastructure and national hospital preparedness standards—including the National Accreditation Board for Hospitals & Healthcare Providers in India and equivalent bodies internationally—should mandate minimum on-site fuel reserve requirements linked to geopolitical risk assessments.
Introduction
Hospitals are among the most energy-intensive buildings in the built environment, consuming approximately two and a half to three times more energy per unit floor area than comparable commercial buildings, and their dependence on uninterrupted fuel supply renders them acutely vulnerable to the supply-chain disruptions that accompany armed conflict.1 2 Modern quaternary-care hospitals rely on diesel for emergency generator sets, liquefied petroleum gas (LPG) for catering and sterilisation, and diesel again for transport and logistics.3 When fuel supply chains fracture—as they do in nearly every major armed conflict—the consequences propagate rapidly from infrastructure to patient care.
Real-world precedent is instructive. In Lebanon in 2021, the collapse of state electricity provision and acute diesel scarcity forced hospitals to operate entirely on private generators; the American University of Beirut Medical Center warned publicly that 40 adult patients and 15 children on mechanical ventilators would die within hours if diesel was not delivered.4 In Gaza, Al-Awda Hospital suspended most services in December 2025 because generator fuel fell below 800 L.5 In Ukraine, systematic attacks on energy infrastructure caused power outages in 92% of surveyed healthcare facilities, with direct effects on surgeries and life support.6
India’s energy profile makes this threat particularly salient. India imports approximately 88.6% of its crude oil requirement, with roughly 90% of LPG imports transiting the Strait of Hormuz.7 8 A US–Iran war causing Strait of Hormuz closure would simultaneously disrupt diesel supply chains and eliminate the dominant LPG import route, creating a compound energy emergency with no rapid domestic substitution pathway.
Despite this vulnerability, published literature on hospital preparedness in conflict scenarios focuses predominantly on mass-casualty surge capacity, trauma care and pharmaceutical supply chains. The specific intersection of fuel and LPG shortage with hospital infection control—encompassing linen sterilisation, food safety, autoclaving and heating, ventilation and air conditioning (HVAC) function—has received scant systematic attention. There are no published failure mode and effects analysis (FMEA) studies addressing the multidepartmental patient safety implications of fuel and LPG shortage from geopolitical conflict.
FMEA is a structured, proactive risk methodology quantifying failure risk through a composite risk priority number (RPN=S × O × D).9 Healthcare FMEA was formalised by the US Department of Veterans Affairs and is mandated annually by the Joint Commission on Accreditation of Healthcare Organizations.10 It has been applied across clinical processes but rarely to infrastructure supply-chain scenarios.11–13
This study reports the findings of a prospective Healthcare FMEA at a 455-bed quaternary-care hospital in South India, examining patient safety risks from acute fuel and LPG shortage in a modelled US–Iran war scenario. The primary objective was to identify, score and stratify failure modes across all energy-dependent hospital departments; the secondary objective was to provide a priority-stratified preparedness framework.
Methods
Study design
This was a prospective process FMEA conducted as a structured preparedness exercise. The analysis examined energy-dependent systems across the entire hospital. No patients were involved.
Setting
The study was conducted at a 455-bed quaternary-care hospital in South India offering cardiac surgery, neurosurgery, solid organ transplantation, neonatal intensive care, haemodialysis and radiation oncology. It also operates a round-the-clock emergency department that serves as a major regional referral centre. The hospital operates multiple intensive care units (ICUs), eleven main operating theatres (OTs) with laminar airflow, a central sterile services department (CSSD) and a hospital kitchen serving approximately 900 meals per day. Primary energy sources are mains grid electricity backed by diesel standby generators and LPG piped to kitchen and sterilisation areas.
Hazard scenario
The modelled hazard was a US–Iran armed conflict causing closure or sustained disruption of the Strait of Hormuz, resulting in (a) acute national diesel and petrol shortage due to crude oil import disruption and (b) acute LPG shortage due to cessation of Gulf LPG imports, which ordinarily account for approximately 90% of India’s imported LPG.8 The scenario assumed sustained disruption of 21 days or more, during which domestic fuel reserves would be progressively depleted without reliable resupply.
FMEA team composition
A multidisciplinary FMEA team comprising a consultant in infectious diseases and infection control, quality and patient safety officer, senior biomedical/clinical engineer, chief dietitian, senior nurse manager (ICU and OT) and lead pharmacist met over six structured 2-hour sessions. Departmental heads were consulted during process mapping.
Scoring methodology
The IHI Healthcare FMEA framework was followed.11 Each failure mode was scored on three dimensions (table 1).
Table 1. FMEA scoring scales used in this analysis: severity (S), occurrence (O) and detection (D) anchors.
| Score | Severity (S) | Occurrence (O) | Detection (D) |
|---|---|---|---|
| 10 | Catastrophic: death or permanent major harm to multiple patients | Near-certain in defined scenario | No detection possible before patient harm |
| 9 | Severe: life-threatening harm, major organ failure, septicaemia | Near-certain | Remote detection chance |
| 8 | Very high: probable serious patient harm or major procedural failure | Very frequent | Very low detection probability |
| 7 | High: potential for significant patient harm; major service disruption | Frequent (failure within 48–72 hours of shortage onset) | Low detection probability |
| 6 | Significant: patient discomfort, increased length of stay, additional treatment | Moderately high (within 1 week) | Low to moderate detection |
| 5 | Moderate: significant service impact, delayed care | Moderate likelihood | Moderate detection |
| 4 | Low: temporary service degradation, compensable impact | Moderately rare | Moderate to high detection |
| 3 | Minor: non-critical service delay, minor patient inconvenience | Occasional occurrence | High detection probability |
| 2 | Very minor: patient inconvenience, no clinical consequence | Very rare | Very high detection probability |
| 1 | No patient harm or negligible effect | Extremely unlikely | Almost certain pre-harm detection |
Severity (S, 1–10): Magnitude of patient harm if the failure occurred; score 10=death or permanent major harm.
Occurrence (O, 1–10): Likelihood of failure in the defined scenario; calibrated to the near-certainty of fuel deprivation, with scores 7–8 indicating failure within 48–72 hours of sustained shortage.
Detection (D, 1–10): Likelihood that failure would not be detected before patient harm; generally moderate (2–5), reflecting the insidious onset of supply-chain failures.
RPN risk bands were defined a priori as Critical (RPN≥200, immediate action); High (150–199, action within 72 hours); Medium (100–149, action within 2 weeks) and Low (<100, quarterly review) (see table 2).
Table 2. RPN risk stratification bands, distribution of failure modes identified in this analysis and required action timeframes.
| Risk band | RPN range | No. of FMs | % of total | Required action and timeframe |
|---|---|---|---|---|
| Critical | ≥200 | 5 | 8.1 | Immediate: escalate to hospital administrator and clinical governance within 24 hours; activate emergency operations protocol |
| High | 150–199 | 17 | 27.4 | Urgent: assign dedicated owner; convene Emergency Operations Committee within 72 hours |
| Medium | 100–149 | 34 | 54.8 | Action plan within 2 weeks; include in departmental risk register; monthly monitoring |
| Low | <100 | 6 | 9.7 | Monitor; review quarterly; document in departmental meeting minutes |
FM, failure mode; RPN, risk priority number.
Scope
10 hospital departments were analysed: Kitchen Services; Laundry Services; Generator/Power Backup; HVAC and Infection Control; Boiler and Steam Services; Clinical Services (ICU, OT, dialysis, respiratory support); Pharmacy and Cold Chain; Transport and Logistics; Biomedical Waste Management; and IT and Communication Infrastructure.
Risk mitigation and post-mitigation scoring
For each Critical and High failure mode, the multidisciplinary team defined one or more targeted mitigation actions directed at the specific driver of risk: reducing occurrence through fuel and consumable reserves, redundancy and pre-authorised resupply; improving detection through continuous monitoring, alarms and automated load management; and, where a process could be substituted, lowering severity by preserving critical functions on protected circuits. Each mitigated failure mode was then re-scored on the same S, O and D scales (table 1) to yield a projected post-mitigation RPN, following the standard FMEA action-and-reassessment cycle. Projected post-mitigation RPNs represent the anticipated residual risk once the recommended actions are fully implemented and are planning estimates rather than measured post-implementation values. Recommended actions and projected post-mitigation RPNs for all Critical and High failure modes are presented in table 3.
Table 3. Recommended mitigation actions and projected post-mitigation RPNs for all Critical and High failure modes.
| Department | Failure mode | Recommended mitigation action | Base RPN | Projected post-mitigation RPN | Residual band |
|---|---|---|---|---|---|
| Generator/Power Backup | Diesel supply chain breakdown | Pre-authorised priority fuel resupply under state disaster protocol; ≥7–10-day on-site diesel reserve; dual-supplier contracts; telemetry fuel-level monitoring | 252 | 108 | Medium |
| Laundry Services | OT/ICU linen sterilisation failure | Reserve steam/LPG on a protected circuit for CSSD and laundry; validated thermo-chemical disinfection contingency; buffer stock of sterile disposable linen for OT/ICU | 240 | 60 | Low |
| Generator/Power Backup | Non-critical load mismanagement | Automated load-shedding hard-wired to prioritise ICU, OT and CSSD circuits; documented load-priority matrix; staff drills | 240 | 48 | Low |
| Kitchen Services | Inability to achieve cooking temperature≥74°C | Electric induction cooking on a protected circuit; validated core-temperature probes; retort/ready-to-eat therapeutic meals during shortage | 216 | 54 | Low |
| Laundry Services | Infectious linen not processed safely | Segregated handling; validated thermo-chemical disinfection; single-use linen for tuberculosis, MDRO and C. difficile cases when thermal disinfection is unavailable | 200 | 60 | Low |
| Kitchen Services | Utensil decontamination /water-boiling failure | Electric boilers and dishwashers on a protected circuit; single-use utensils for immunocompromised units | 192 | 72 | Low |
| HVAC & Infection Control | Isolation room cleaning failure | Prioritised cleaning roster; battery/uninterruptible power supply-backed cleaning equipment; audited terminal-cleaning checklist | 192 | 64 | Low |
| Laundry Services | Thermal disinfection failure (<60°C) | Continuous wash-temperature monitoring with alarms; priority steam allocation; chemical disinfection backup | 189 | 72 | Low |
| Pharmacy & Cold Chain | Critical drug stockouts | ≥14-day buffer stock of essential and emergency drugs; dynamic reorder triggers; regional mutual-aid sharing | 189 | 72 | Low |
| Transport & Logistics | Supply delivery disruption | Pre-positioned consumable reserves; prioritised fuel for the logistics fleet; alternate supplier and route contracts | 189 | 108 | Medium |
| HVAC & Infection Control | OT loss of positive pressure | Dedicated uninterruptible power supply/generator circuit for OT HVAC; differential-pressure alarms; defer elective surgery while protecting one emergency theatre | 180 | 60 | Low |
| HVAC & Infection Control | Isolation room negative-pressure failure | Priority power to isolation-room exhaust; portable high-efficiency particulate air negative-pressure units; pressure alarms | 180 | 60 | Low |
| Clinical Services | Surgical services suspended | Tiered elective-deferral plan preserving emergency and life-saving surgery on protected circuits; CSSD reserve sterile sets | 180 | 60 | Low |
| Transport & Logistics | Blood supply chain breakdown | Increased on-site blood-bank reserve; prioritised cold-chain transport; regional blood-sharing agreement | 180 | 60 | Low |
| Kitchen Services | Complete LPG cessation | Electric induction backup; retort meal contingency; ≥14-day LPG reserve | 168 | 72 | Low |
| Laundry Services | Damp linen distribution | Electric drying on a protected circuit; buffer stock of dry/disposable linen; humidity check before distribution | 168 | 64 | Low |
| HVAC & Infection Control | Chiller plant shutdown | Priority power to critical-area chillers; portable cooling for OT, ICU and pharmacy; temperature alarms | 162 | 54 | Low |
| Boiler & Steam Services | CSSD reusable device stock depletion | Increased sterile instrument-set inventory; single-use device contingency for critical procedures; priority steam | 162 | 54 | Low |
| Kitchen Services | Therapeutic diet failure (chronic kidney disease/diabetes) | Pre-stocked renal and diabetic therapeutic meal packs; dietitian-led contingency menu not requiring LPG cooking | 160 | 72 | Low |
| Generator/Power Backup | Generator mechanical failure | N+1 generator redundancy; preventive maintenance with weekly load-bank testing; 24-hour service contract | 150 | 60 | Low |
Post-mitigation RPNs are projected residual values assuming full implementation of the stated actions; they are planning estimates, not measured outcomes, and are re-scored on the same S, O and D scales as table 1.
CSSD, central sterile services department; HVAC, heating, ventilation and air conditioning; ICU, intensive care unit; LPG, liquefied petroleum gas; MDRO, multidrug-resistant organism; OT, operating theatre; RPN, risk priority number.
Results
Overall risk profile
62 failure modes were identified across the 10 departments. RPNs ranged from 70 to 252 (mean 143.3). Risk stratification yielded 5 Critical failure modes (RPN≥200; 8.1%), 17 High (150–199; 27.4%), 34 Medium (100–149; 54.8%) and 6 Low (<100; 9.7%). The Generator/Power Backup department recorded the highest mean RPN (171.0), followed by HVAC and Infection Control (166.8) and Kitchen Services (163.4). Summary statistics are provided in table 4, and selected high-priority failure modes are provided in table 5.
Table 4. Summary statistics by department.
| Department | No. of FMs | Mean RPN | Max RPN | Critical FMs | High FMs |
|---|---|---|---|---|---|
| Generator/Power Backup | 6 | 171.0 | 252 | 2 | 1 |
| HVAC & Infection Control | 5 | 166.8 | 192 | — | 4 |
| Kitchen Services | 8 | 163.4 | 216 | 1 | 4 |
| Laundry Services | 8 | 150.1 | 240 | 2 | 3 |
| Transport & Logistics | 5 | 143.4 | 189 | — | 3 |
| Boiler & Steam Services | 6 | 143.2 | 180 | — | 2 |
| Pharmacy & Cold Chain | 6 | 134.3 | 189 | — | 2 |
| Clinical Services | 6 | 130.0 | 180 | — | 2 |
| Biomedical Waste Management | 6 | 118.0 | 135 | — | — |
| IT & Communication Infrastructure | 6 | 108.2 | 140 | — | — |
| Overall | 62 | 143.3 | 252 | 5 | 17 |
Max RPN is colour-coded by risk band: Critical (red), High (orange), Medium (yellow) and Low (green).
FMs, failure modes; RPN, risk priority number.
Table 5. Selected high-priority failure modes from the FMEA risk register (n=34 of 62 total failure modes, showing all Critical and High risk failure modes plus selected Medium risk).
| Department | Failure mode | S | O | D | RPN | Risk band |
|---|---|---|---|---|---|---|
| Generator/Power Backup | Diesel supply chain breakdown | 9 | 7 | 4 | 252 | Critical |
| Laundry Services | OT/ICU linen sterilisation failure | 10 | 6 | 4 | 240 | Critical |
| Generator/Power Backup | Non-critical load mismanagement | 8 | 6 | 5 | 240 | Critical |
| Kitchen Services | Inability to achieve cooking temperature ≥74°C | 9 | 6 | 4 | 216 | Critical |
| Laundry Services | Infectious linen not processed safely | 10 | 5 | 4 | 200 | Critical |
| Kitchen Services | Utensil decontamination/water boiling failure | 8 | 6 | 4 | 192 | High |
| HVAC & Infection Control | Isolation room cleaning failure | 8 | 8 | 3 | 192 | High |
| Laundry Services | Thermal disinfection failure (<60°C) | 9 | 7 | 3 | 189 | High |
| Pharmacy & Cold Chain | Critical drug stockouts | 9 | 7 | 3 | 189 | High |
| Transport & Logistics | Supply delivery disruption | 9 | 7 | 3 | 189 | High |
| HVAC & Infection Control | OT positive pressure loss | 10 | 6 | 3 | 180 | High |
| HVAC & Infection Control | Isolation room negative pressure failure | 10 | 6 | 3 | 180 | High |
| Clinical Services | Surgical services suspended | 10 | 6 | 3 | 180 | High |
| Transport & Logistics | Blood supply chain breakdown | 10 | 6 | 3 | 180 | High |
| Kitchen Services | Complete LPG cessation | 8 | 7 | 3 | 168 | High |
| Laundry Services | Damp linen distribution | 8 | 7 | 3 | 168 | High |
| Kitchen Services | Therapeutic diet failure (chronic kidney disease/diabetes) | 8 | 5 | 4 | 160 | High |
| Generator/Power Backup | Generator mechanical failure | 10 | 5 | 3 | 150 | High |
| Boiler & Steam Services | CSSD reusable device stock depletion | 9 | 6 | 3 | 162 | High |
| HVAC & Infection Control | Chiller plant shutdown | 9 | 6 | 3 | 162 | High |
| Boiler & Steam Services | Laundry boiler shutdown | 8 | 6 | 3 | 144 | Medium |
| Kitchen Services | Cold chain failure for perishables | 7 | 7 | 3 | 147 | Medium |
| Clinical Services | Mechanical ventilator shutdown | 10 | 7 | 2 | 140 | Medium |
| Generator/Power Backup | ICU power failure from fuel exhaustion | 10 | 7 | 2 | 140 | Medium |
| Transport & Logistics | Ambulance fleet immobilisation | 10 | 7 | 2 | 140 | Medium |
| IT & Communication | Electronic access control failure | 7 | 5 | 4 | 140 | Medium |
| Boiler & Steam Services | Steam autoclave failure | 10 | 5 | 4 | 140 | Medium |
| Clinical Services | Haemodialysis/continuous renal replacement therapy shutdown | 10 | 6 | 2 | 120 | Medium |
| Clinical Services | Oxygen generation failure | 10 | 6 | 2 | 120 | Medium |
| Pharmacy & Cold Chain | Pharmacy cold chain breach | 9 | 7 | 2 | 126 | Medium |
| Biomedical Waste Mgmt | Pathological waste accumulation | 9 | 5 | 3 | 135 | Medium |
| Biomedical Waste Mgmt | Incinerator shutdown | 9 | 7 | 2 | 126 | Medium |
| IT & Communication | Nurse call/internal comms failure | 9 | 6 | 2 | 108 | Medium |
| IT & Communication | Hospital information system/electronic health record shutdown | 8 | 6 | 2 | 96 | Low |
Full register available from the corresponding author on request.
CSSD, central sterile services department; D, detection; FMEA, failure mode and effects analysis; HVAC, heating, ventilation and air conditioning; ICU, intensive care unit; IT, information technology; LPG, liquefied petroleum gas; O, occurrence; OT, operating theatre; RPN, risk priority number = S × O × D; S, severity.
A key structural finding was the cascading interdependency rooted in generator dependency: diesel supply chain breakdown (RPN 252, Critical) propagates upstream risk to seven of the nine remaining departments. Loss of generator power sequentially compromises OT/ICU HVAC, CSSD autoclaving, laundry boilers, pharmacy cold chain, IT infrastructure and all life-support clinical equipment.
Generator and Power Backup (n=6; mean RPN 171.0; maximum RPN 252)
The highest-scoring failure mode in the entire analysis was diesel supply chain breakdown (S=9, O=7, D=4; RPN 252), representing progressive fuel depletion without replenishment capability. A near-highest severity score (9 rather than 10) reflects the possibility of temporary selective load-shedding; however, this in turn introduces non-critical load mismanagement (S=8, O=6, D=5; RPN 240), in which incorrect load prioritisation causes premature power loss to ICU or OT circuits. Generator shutdown leading to ICU power failure (S=10, RPN 140) defines the lethal endpoint: ventilator failure, infusion pump shutdown and cardiac monitoring loss in the most clinically vulnerable patients.
Kitchen Services (n=8; mean RPN 163.4; maximum RPN 216)
All eight Kitchen Services failure modes were attributable to LPG deprivation. The highest was inability to achieve safe cooking temperatures (≥74°C) (S=9, O=6, D=4; RPN 216). In hospitals serving immunocompromised, post-transplant, and neonatal populations, failure to achieve minimum safe internal cooking temperatures creates substantial foodborne pathogen transmission risk.14 Utensil decontamination and water boiling failure (RPN 192) represents a direct enteric infection transmission pathway. Complete LPG cessation (RPN 168) eliminates all cooking capacity, with immediate malnutrition risk in long-stay patients. Therapeutic diet failure for chronic kidney disease and diabetic patients (RPN 160) adds metabolic risks—hyperkalaemia in renal patients and dysglycaemia in diabetic patients— independent of infection.
Laundry Services (n=8; mean RPN 150.1; maximum RPN 240)
The highest-scoring failure mode in the entire FMEA was OT/ICU linen sterilisation failure (S=10, O=6, D=4; RPN 240). Thermal disinfection at 65–71°C is the primary barrier against linen-mediated surgical site infection (SSI).15 Boiler shutdown eliminates this barrier, creating a direct SSI transmission pathway. Infectious linen not processed safely (S=10, O=5, D=4; RPN 200) poses cross-contamination risk from tuberculosis, COVID-19 and multidrug-resistant organism (MDRO)-positive patients. Evidence demonstrates that Clostridioides difficile spores survive standard National Health Service thermal disinfection processes,15 16 raising concern that partially disinfected linen may actively disseminate pathogens. Damp linen distribution (RPN 168) has been implicated in mucormycosis outbreaks in immunocompromised populations.17
HVAC and Infection Control (n=5; mean RPN 166.8; maximum RPN 192)
Two failure modes shared maximum severity scores (S=10): OT HVAC failure with loss of positive pressure (RPN 180) and negative pressure failure in isolation rooms (RPN 180). Laminar airflow disruption in OTs has been directly implicated in SSI outbreaks involving Aspergillus, Staphylococcus and Acinetobacter species.18 19 Isolation room negative pressure failure removes the environmental barrier to nosocomial spread of tuberculosis and other airborne pathogens. Isolation room cleaning failure (RPN 192) recorded the highest RPN in this department, reflecting high occurrence of cleaning protocol disruption during energy shortage.
Remaining departments
Boiler and Steam Services (mean RPN 143.2) identified CSSD reusable device stock depletion (RPN 162) and steam autoclave failure (RPN 140, S=10) as leading to surgical service suspension. Clinical Services (mean RPN 130.0) failure modes included surgical services suspended (RPN 180, S=10), mechanical ventilator shutdown (RPN 140, S=10), haemodialysis/continuous renal replacement therapy shutdown (RPN 120, S=10) and oxygen generation failure (RPN 120, S=10), all carrying maximum severity scores reflecting direct lethality. Transport and Logistics (mean RPN 143.4) identified blood supply chain breakdown (RPN 180) and ambulance fleet immobilisation (RPN 140) as High-risk. Pharmacy and Cold Chain (mean RPN 134.3) highlighted critical drug stockouts (RPN 189) and pharmacy cold chain breach (RPN 126). Biomedical Waste Management (mean RPN 118.0) and information technology (IT) and Communication Infrastructure (mean RPN 108.2) generated predominantly Medium-risk failure modes, though nurse call system failure (RPN 108) carries significant patient safety consequence.
Projected impact of mitigation
Application of the recommended actions (table 3) is projected to reduce the mean RPN of the 20 Critical and High-priority failure modes from 189.5 to 66.7, a reduction of approximately 65%. Under this projected post-mitigation model no failure mode remained in the Critical or High band: 18 fell to Low (<100) and 2—diesel supply chain breakdown and supply delivery disruption, both governed by external resupply that the hospital cannot fully control—remained in the Medium band. The largest absolute reductions were achieved for generator load management and for linen and kitchen thermal-disinfection failures, where automated load-shedding, protected circuits, continuous temperature monitoring and validated chemical or single-use contingencies simultaneously lowered occurrence and improved detection.
Discussion
Generator continuity as the systemic root cause
The overall mean RPN of 143.3, with 35% of failure modes classified as High or Critical, reflects the profound dependency of a modern quaternary-care hospital on uninterrupted fuel supply. The 5 Critical and 17 High failure modes are not independent events but cascading consequences of a single upstream failure: diesel supply chain disruption (RPN 252). The Generator/Power Backup department functions as a root-cause amplifier for seven other departments, mirroring real-world experience. In Ukraine, 92% of surveyed healthcare workers reported power outages following attacks on energy infrastructure, with direct effects on surgeries and life support.6 20 In Lebanon, fuel availability became synonymous with patient survival.4
The underestimated role of kitchen and laundry
The most clinically significant finding is the high RPN burden in kitchen and laundry services—departments traditionally classified as support or ancillary functions in hospital disaster planning. Kitchen Services recorded the third-highest mean RPN (163.4); Laundry Services contained the single highest-RPN failure mode in the dataset (RPN 240).
The infection-control significance of laundry processing failure is supported by a growing evidence base. Tarrant and colleagues demonstrated that C. difficile spores survive standard National Health Service thermal disinfection with reduction rates as low as 40%15; Hind et al16 confirmed spore persistence across chemo-thermal disinfection processes. MDROs are documented fomite colonisers of hospital linen21; when boiler failure drops wash temperatures below the thermal disinfection threshold, the laundry may become an active pathogen dissemination mechanism rather than a decontamination step.
In the kitchen, failure to achieve 74 °C internal temperatures removes the primary bactericidal step for Salmonella and Campylobacter in populations where these can cause fatal septicaemia.14 This study delineates what may be termed the ‘LPG-dependent infection-control chain’: cooking to safe temperatures, utensil boiling, linen thermal disinfection and steam autoclave sterilisation—a sequence of hospital functions collectively dependent on LPG or LPG-fired steam, whose simultaneous failure constitutes a compound infection-control emergency without published precedent in the disaster preparedness literature.
HVAC and the nosocomial outbreak nexus
The HVAC department’s high mean RPN (166.8) and two maximum-severity failure modes reflect the dual nosocomial outbreak risk from power failure. Laminar airflow disruption has been directly implicated in SSI outbreaks involving Aspergillus, Staphylococcus and Acinetobacter species.18 19 Isolation room negative pressure failure simultaneously removes the barrier to spread of airborne pathogens including tuberculosis, creating conditions for a hospital-wide respiratory outbreak.
Comparison with published literature
Published healthcare FMEA studies report failure mode counts of 25–109 and mean RPNs of 100–270.12 13 This study’s 62 failure modes and mean RPN of 143.3 are within the published range, providing external calibration validation. The identification of generator dependency as a systemic root cause parallels CUNY research on healthcare resilience during natural disasters22 and NGA energy resilience guidance23; this study extends those findings to the specific mechanism of geopolitical fuel shortage, providing a quantified, reproducible RPN framework for conflict-preparedness planning.
Strengths and limitations
Strengths include multidisciplinary team composition, comprehensive scope (62 failure modes, 10 departments), use of a standardised internationally recognised framework and the novel identification of support-service infection-control risks at Critical level in a geopolitically motivated hazard scenario.
Limitations include single-site design, expert-consensus scoring (standard for prospective FMEA but potentially subjective), the single modelled hazard scenario and the fact that the scenario predates any actual US–Iran armed conflict, so that the projected post-mitigation RPNs (table 3) await prospective validation against real-world implementation data. The Lebanon and Gaza precedents provide supporting face validity for the high occurrence scores.
Implications for practice and policy
Hospitals in fuel-import-dependent countries should develop geopolitical energy contingency plans incorporating: tiered diesel rationing with pre-defined load priorities; LPG reserve stockpiling (minimum 14-day reserve); alternative cooking methodologies (electric induction on priority circuits) to maintain food safety when LPG is unavailable and cold-wash chemical disinfection protocols for laundry as contingency for boiler failure, acknowledging documented limitations for C. difficile and MDRO decontamination.15 16
Kitchen and laundry services must be incorporated into hospital emergency operations plans as infection-control-critical infrastructure. National accreditation standards—including the National Accreditation Board for Hospitals & Healthcare Providers in India and Joint Commission International internationally—should mandate minimum on-site fuel reserve requirements. Given India’s acute LPG import dependency on the Strait of Hormuz, coordination between the Ministries of Health and Petroleum and Natural Gas to establish hospital-specific strategic LPG reserves would constitute an evidence-based preparedness measure.
Conclusions
This FMEA of a 455-bed quaternary-care hospital in South India demonstrates that acute fuel and LPG shortage in a geopolitical conflict scenario generates cascading, multisystem patient safety failures penetrating clinical and support operations simultaneously. 62 failure modes were identified across 10 departments, with five Critical and 17 High failure modes constituting immediate preparedness priorities.
Generator continuity is the single most critical mitigation target, functioning as a systemic root-cause amplifier for seven of the nine remaining departments. Kitchen and laundry services carry Critical-level infection-control risks equal to or exceeding those of many clinical departments—primarily through foodborne pathogen transmission to immunocompromised patients and MDRO/SSI risk from thermally inadequate linen processing.
A tiered, RPN-stratified response framework provides hospital administrators, quality teams and emergency planners with a structured, proportionate preparedness roadmap. As geopolitical instability continues to threaten energy supply chains globally, the systematic integration of fuel and LPG contingency planning into hospital emergency operations plans is a patient safety imperative that can no longer be deferred.
Footnotes
Funding: The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Data availability free text: The full 62-item FMEA risk register, including all scoring rationale and recommended actions, is available from the corresponding author on reasonable request.
Patient consent for publication: Not applicable.
Ethics approval: Institutional ethics committee review was not required, as this constituted a quality improvement and preparedness planning exercise not involving patients, patient data or clinical interventions.
Provenance and peer review: Not commissioned; externally peer reviewed.
Patient and public involvement: Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.
Data availability statement
Data are available upon reasonable request.
References
- 1.Bawaneh K, Ghazi Nezami F, Rasheduzzaman M, et al. Energy Consumption Analysis and Characterization of Healthcare Facilities in the United States. Energies. 2019;12:3775. doi: 10.3390/en12193775. [DOI] [Google Scholar]
- 2.US Energy Information Administration . Washington, DC: EIA; Commercial Buildings Energy Consumption Survey (CBECS): health care buildings.https://www.eia.gov/consumption/commercial/pba/health-care.php n.d. Available. [Google Scholar]
- 3.Marqusee J, Jenket DR. Reliability of emergency and standby diesel generators: Impact on energy resiliency solutions. Appl Energy. 2020;268:114918. doi: 10.1016/j.apenergy.2020.114918. [DOI] [Google Scholar]
- 4.Bryce R. As Lebanon’s electric grid collapses, dozens of hospital patients could die due to lack of power. Forbes. 2021 [Google Scholar]
- 5.Middle East Eye Fuel shortage forces Gaza hospital to halt services as Israeli siege deepens. 2025. https://www.middleeasteye.net/news/real-crisis-unfolding-fuel-shortage-forces-gazas-al-awda-hospital-halt-medical-services Available.
- 6.Physicians for Human Rights Health care in the dark: the impacts of Russian attacks on energy in Ukraine. 2024. https://phr.org/our-work/resources/health-care-in-the-dark-attacks-on-energy-in-ukraine/ Available.
- 7.OilPrice.com India’s oil import dependence climbs to nearly 89% as domestic output lags. 2026. https://oilprice.com/Latest-Energy-News/World-News/Indias-Oil-Import-Dependence-Climbs-to-Nearly-89-as-Domestic-Output-Lags.html Available.
- 8.India Briefing Strait of hormuz and india’s oil supply: diversification strategy. 2026. https://www.india-briefing.com/news/indias-oil-supply-hormuz-diversification-strategy-43381.html/ Available.
- 9.El-Awady SMM. Overview of Failure Mode and Effects Analysis (FMEA): A Patient Safety Tool. Glob J Qual Saf Healthc . 2023;6:24–6. doi: 10.36401/JQSH-23-X2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.US Department of Veterans Affairs, National Center for Patient Safety . Healthcare failure mode and effect analysis (HFMEA) guidebook. 2021. https://www.patientsafety.va.gov/docs/joe/HFMEA-Guidebook-January2021.pdf Available. [Google Scholar]
- 11.Institute for Healthcare Improvement . IHI; 2023. Failure Modes and Effects Analysis (FMEA) Tool.https://www.ihi.org/resources/tools/failure-modes-and-effects-analysis-fmea-tool Available. [Google Scholar]
- 12.Vecchia M, Sacchi P, Marvulli LN, et al. Healthcare Application of Failure Mode and Effect Analysis (FMEA): Is There Room in the Infectious Disease Setting? A Scoping Review. Healthcare (Basel) 2025;13:82. doi: 10.3390/healthcare13010082. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Institute for Healthcare Improvement . Boston, MA: IHI; 2017. QI Essentials Toolkit: Failure Modes and Effects Analysis (FMEA)https://www.med.unc.edu/ihqi/wp-content/uploads/sites/463/2022/02/QIToolkit_FailureModesandEffectsAnalysis-2.pdf Available. [Google Scholar]
- 14.US Food and Drug Administration Food safety for moms-to-be. 2018. https://www.fda.gov/food/people-risk-foodborne-illness/food-safety-moms-be Available.
- 15.Tarrant J, Jenkins RO, Laird KT. From ward to washer: The survival of Clostridium difficile spores on hospital bed sheets through a commercial UK NHS healthcare laundry process. Infect Control Hosp Epidemiol. 2018;39:1406–11. doi: 10.1017/ice.2018.255. [DOI] [PubMed] [Google Scholar]
- 16.Tarrant J, Owen L, Jenkins R, et al. Survival of Clostridioides difficile spores in thermal and chemo-thermal laundering processes and influence of the exosporium on their adherence to cotton bed sheets. Lett Appl Microbiol. 2022;75:1449–59. doi: 10.1111/lam.13811. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Sundermann AJ. Health care linens: an underrecognized risk in infection prevention and control. Infection Control Today. 2024;28 [Google Scholar]
- 18.Popp W, Alefelder C, Bauer S, et al. Air quality in the operating room: Surgical site infections, HVAC systems and discipline - position paper of the German Society of Hospital Hygiene (DGKH) GMS Hyg Infect Control. 2019;14:Doc20. doi: 10.3205/dgkh000335. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Health Protection Scotland, NHS National Services Scotland . Edinburgh: Health Protection Scotland; 2019. Rapid review of surgical site infection risks associated with healthcare ventilation systems.https://www.nss.nhs.scot/media/2284/1_rapid-review-ssi-risks-associated-with-heal.pdf Available. [Google Scholar]
- 20.Poltavets U, De Vos C. Just Security; 2024. Russia’s attacks on ukraine’s energy infrastructure imperil healthcare access.https://www.justsecurity.org/96466/attacks-on-healthcare-access/ Available. [Google Scholar]
- 21.Chia PY, Sengupta S, Kukreja A, et al. The role of hospital environment in transmissions of multidrug-resistant gram-negative organisms. Antimicrob Resist Infect Control. 2020;9:29. doi: 10.1186/s13756-020-0685-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Kwasinski A. New York: CUNY Academic Work; 2019. Healthcare facilities resilience: impact of utility interruptions during natural hazards.https://cuny.manifoldapp.org/read/healthcare-facilities-resilience-impact-of-utility-interruptions-during-natural-hazards Available. [Google Scholar]
- 23.McCabe E, Fletcher C, Hockenberry S, et al. Washington, DC: National Governors Association; 2023. Prioritizing resilience: recommendations for state and territorial leaders on energy resilience for healthcare facilities.https://www.nga.org/publications/prioritizing-resilience-best-practices-on-energy-resilience-for-healthcare-facilities/ Available. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data are available upon reasonable request.
