Abstract
Human error in healthcare and public health remains a major contributor to patient harm and inefficiency globally. In high-income countries, it is estimated that 1 in 10 patients are harmed during hospital care, with nearly half of these incidents being preventable. In low- and middle-income countries (LMICs), the situation is even more concerning. The World Health Organization (WHO) has identified adverse events in healthcare as a major source of preventable harm in LMICs, highlighting persistent systemic weaknesses in quality of care and patient safety. While human errors occur, most patient harm stems from complex systemic factors rather than negligence. High-reliability organizations show that proactive leadership, transparent communication, and organizational learning reduce error likelihood and impact. Continuous quality improvement and simulation-based training strengthen resilience, enabling systems to anticipate and adapt to challenges. Technology-assisted tools, such as electronic health records and decision-support systems, further enhance error detection, though their success depends on integration and engagement. Building health system resilience therefore requires coordinated strategies that prioritize leadership, organizational learning, and adaptive design over punitive responses.
Introduction
Human error remains a major contributor to adverse patient outcomes and inefficiency in healthcare systems globally. In high-income countries, ∼1 in 10 patients suffers harm during hospital care, with nearly half of these incidents considered preventable [1, 2]. In low- and middle-income countries (LMICs), these challenges are magnified by resource constraints, limited workforce capacity, and infrastructural deficiencies. The World Health Organization estimates that annually, LMICs experience ∼134 million adverse events in healthcare settings, resulting in 2.6 million deaths [3, 4]. These figures underscore the critical need to address unsafe medical practices, diagnostic errors, and lapses in treatment delivery as part of a systemic approach to patient safety.
While human errors are unavoidable, research indicates that most errors stem from complex systemic factors rather than personal negligence [5, 6]. Organizational structures, communication failures, and workflow inefficiencies interact to create environments in which errors occur. High-reliability organizations (HROs) demonstrate that proactive leadership, transparent communication, and organizational learning can mitigate these risks and reduce error impact [7–9]. By fostering adaptive and learning-focused cultures, healthcare systems can transform errors into opportunities for systemic improvement.
Despite increasing recognition of human error as a systemic issue, much of the existing literature remains fragmented, frequently addressing leadership, learning, or technology in isolation rather than as interrelated elements of health system resilience. This paper addresses the issue of preventable harm in the international health sector by examining how organizational learning, leadership practices, and resilient system design collectively impact the prevention and remediation of human error. This issue is specifically critical in LMICs, where system-level vulnerabilities and capacity constraints intensify the consequences of system failures. In this paper, the term ‘leadership’ is discussed broadly to encompass both organizational and clinical leadership, with particular emphasis on transformational and distributed leadership approaches. This paper aims to contribute by consolidating evidence across organizational learning, leadership and resilience frameworks to showcase a cohesive, systems-oriented perspective on human error. In doing so, the article enhances understanding of how healthcare organizations can move beyond reactive, blame-oriented approaches toward proactive strategies that reinforce safety, sustainability and adaptability across diverse global contexts.
In this paper, human error is conceptualized as unintentional actions or decision-making processes that contribute to unsafe care, emerging mainly from interactions between individual and technological, organizational and environmental system conditions rather than sole individual negligence [5, 10]. Leadership is understood as the clinical and organizational capacity to influence safety culture, decision-making, and learning processes with specific emphasis on distributed and transformational leadership approaches encouraging staff engagement, accountability, and psychological safety [8, 11, 12]. Health system resilience can be defined as the capacity of healthcare systems to absorb, anticipate and adapt to, and recover from disruptions while sustaining safe and effective service delivery [13, 14].
Consistent with resilience engineering, this paper adopts a Safety-II perspective, defining safety as the healthcare system’s ability to maintain effective performance under variable and constrained conditions, rather than merely preventing adverse events [15].
Understanding human error as a systemic phenomenon
Traditional approaches to human error often focus on individual accountability. However, contemporary research supports a systems perspective [5, 10]. Complex interactions among personnel, technology, processes, and environmental factors contribute to adverse events. The Swiss Cheese Model illustrates how latent failures align to create opportunities for errors, emphasizing the importance of robust system design [5, 16]. Addressing human error therefore requires interventions targeting both individual competencies and health system resilience. Embedding safety-focused practices into organizational processes ensures that errors are detected early and mitigated before reaching the patient [17, 18].
Leadership and safety culture
Leadership is central to fostering a culture of safety and health system resilience. Transformational leadership, characterized by vision, motivation, and empathy, is associated with improved patient outcomes and enhanced staff engagement [8, 11]. Leaders influence safety not solely through policy enforcement but by modelling behaviours, encouraging reporting, and promoting accountability. Distributed leadership further enhances resilience by empowering frontline staff to take ownership of safety initiatives and contribute to decision-making processes [12].
Effective leadership is especially critical in LMIC contexts, where resource constraints and systemic pressures may exacerbate errors. By cultivating psychological safety and trust, leaders ensure that errors are openly discussed and addressed without fear of punitive repercussions [8, 19]. In doing so, leadership transforms error management from a reactive process into a proactive learning opportunity.
Organizational learning and resilience
Continuous organizational learning is integral to building health system resilience. Structured approaches, such as continuous quality improvement (CQI) and Plan–Do–Study–Act (PDSA) cycles, enable organizations to systematically identify hazards, implement interventions, and evaluate outcomes [20, 21]. Simulation-based training, particularly in operating theatres and other high-risk environments, allows healthcare professionals to rehearse complex scenarios, refine decision-making, and strengthen teamwork skills [20, 22].
Consistent with the Safety-II approach, errors are identified as unavoidable but manageable to avoid adverse outcomes if systems are designed to detect and respond effectively [13, 23]. In LMICs, promoting resilience involves targeted workforce development, standardized protocols, and adaptive resource allocation to mitigate the impact of systemic constraints [3, 24, 25].
Technology-enhanced error prevention
Technological tools offer significant potential to reduce human error when appropriately integrated into clinical workflows. Electronic health records (EHRs) and machine-learning-based decision support systems can detect errors in medication administration, flag contraindications, and support diagnostic accuracy [24, 26]. Studies demonstrate that predictive models using EHR data improve early detection of patient safety events, enabling timely intervention [24, 27].
However, technology alone is insufficient. Systems must be designed to align with human capabilities, workflows, and organizational culture. Poorly implemented tools, alert fatigue, and insufficient training may paradoxically introduce new errors [28]. Leaders must therefore ensure that digital tools are user-centred, effectively embedded, and accompanied by training to maximize their safety potential [13, 29].
Challenges and strategic approaches in LMICs
LMIC healthcare systems face amplified risks due to limited resources, infrastructure gaps, and high patient-to-staff ratios [3, 5, 30]. Strategies to mitigate human error in these contexts include strengthening infrastructure, providing ongoing staff training, implementing standardized protocols, and fostering a safety-oriented organizational culture [3, 8, 31]. High-impact, low-cost interventions, such as surgical and medication checklists, double-verification processes, and structured reporting systems, have proven effective in reducing preventable harm [5, 20, 32].
International collaboration, knowledge sharing, and adoption of high reliability organization (HRO) principles can support LMICs in cultivating resilient and safe healthcare systems. Context-specific adaptations are essential to address local challenges while maintaining alignment with global best practice standards [33, 34].
Building health system resilience
Health system resilience encompasses structural, procedural, and cultural dimensions. Redundancy, flexible staffing, and continuous monitoring allow systems to anticipate and respond to errors effectively [8, 20, 35]. As discussed earlier, leadership and learning are intertwined with resilience; effective leadership creates environments in which staff feel empowered to act, while continuous organizational learning mechanisms ensure that improvements are institutionalized [8, 20, 13].
Balancing standardization with adaptability is essential. Overly rigid protocols may stifle innovation, whereas flexible procedures allow frontline teams to improvise safely under complex or unexpected conditions [36]. When aligned with organizational learning, resilience engineering approaches combined with predictive analytics, simulation, and CQI ensure that both anticipated and unanticipated errors are managed proactively [24, 13, 37].
Conclusion
Reducing human error in global healthcare requires a systemic, multi-dimensional approach. Leadership, learning, and resilience are interdependent pillars that underpin safe, high-performing healthcare systems. As demonstrated in this paper, integrating leadership that supports psychological safety with resilient system design and continuous learning processes enables healthcare systems to adapt to complexity and eradicate preventable harm.
This integrated approach is highly critical in LMICs where resource constraints and systemic vulnerabilities heighten the consequences of failure. Fostering organizational learning, strengthening leadership capacity and aligning technological and structural aspects within a resilient framework have important implications for health policy and practice, promoting more sustainable, equitable, and safe care across diverse global contexts.
Acknowledgements
I am grateful to my teachers and colleagues for their guidance and support, from whom I have learned extensively and who, individually and collectively, have displayed such inspiring leadership. I also extend thanks to my institutional colleagues for the dedication and leadership they demonstrated throughout this work.
Conflict of interest: The authors declare no conflicts of interest.
Contributor Information
Ayza Altaf, School of Life and Medical Sciences, University of Hertfordshire, Hatfield, Hertfordshire, United Kingdom.
Enemona Jacob, Centre of Postgraduate Medicine and Public Health, University of Hertfordshire, Hatfield, Hertfordshire, United Kingdom.
Funding
None declared.
Data availability
No new data were generated or analysed in this article.
Ethics statement
Ethical approval was not required for this manuscript and did not involve human subjects.
Key points.
Strong leadership fosters a culture of safety and accountability across healthcare systems.
Continuous learning and feedback loops help identify, analyse, and prevent recurring errors.
Health system resilience enables organizations to anticipate, absorb, and adapt to unexpected challenges.
Integrating technology and human factors design reduces variability and enhances reliability.
Collaboration, transparency, and communication are central to sustaining global patient safety efforts.
References
- 1. Narayan A, Kaplan RM, Adashi EY. To err is human: a quarter century of progress. J Gen Intern Med 2025;40:690–3. 10.1007/s11606-024-09087-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Institute of Medicine (US) Committee on Quality of Health Care in America. Crossing the Quality Chasm: A New Health System for the 21st Century. Washington, DC: National Academies Press (US; ), 2001. 10.17226/10027 [DOI] [PubMed] [Google Scholar]
- 3. World Health Organization. 10 Facts on Patient Safety. Geneva: World Health Organization, 2019. https://www.who.int/news-room/photo-story/detail/10-facts-on-patient-safety (https://www.who.int/news-room/photo-story/detail/10-facts-on-patient-safety) (30 January 2025, date last accessed). [Google Scholar]
- 4. World Health Organization. Patient Safety. Geneva: World Health Organization, 2023. https://www.who.int/news-room/fact-sheets/detail/patient-safety (https://www.who.int/news-room/fact-sheets/detail/patient-safety) (30 January 2025, date last accessed). [Google Scholar]
- 5. Rashdan D, Abu Farha R, Yasin H et al. Human factors frameworks in analysis of contributory factors to medication error: a systematic review. Res Social Adm Pharm 2025;21:629–52. 10.1016/j.sapharm.2025.04.005 [DOI] [PubMed] [Google Scholar]
- 6. Carayon P, Kleinschmidt P, Hose BZ et al. Human factors and ergonomics in health care and patient safety from the perspective of medical residents. In: Donaldson L, Ricciardi W, Sheridan S et al. (eds), Textbook of Patient Safety and Clinical Risk Management. Cham: Springer, 2021, 81–9. 10.1007/978-3-030-59403-9_7 [DOI] [PubMed] [Google Scholar]
- 7. Phillips RA, Schwartz RL, Sostman HD et al. Development and expression of a high-reliability organization. NEJM Catalyst 2021;2. https://catalyst.nejm.org/doi/full/10.1056/CAT.21.0314 (30 January 2025, date last accessed). [Google Scholar]
- 8. Kazin Ystaas LM, Nikitara M, Smith J et al. The impact of transformational leadership in the nursing work environment and patients’ outcomes: a systematic review. J Nurs Manag 2023;31:1355–67. https://pubmed.ncbi.nlm.nih.gov/37755351/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Chassin MR, Loeb JM. High-reliability health care: getting there from here. Milbank Q 2013;91:459–90. 10.1111/1468-0009.12023 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Reason J. Human error: models and management. BMJ 2000;320:768–70. 10.1136/bmj.320.7237.768 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Wong CA, Cummings GG, Ducharme L. The relationship between nursing leadership and patient outcomes: a systematic review update. J Nurs Manag 2013;21:709–24. 10.1111/jonm.12116 [DOI] [PubMed] [Google Scholar]
- 12. Carstensen K, Kjeldsen AM, Nielsen CP. Distributed leadership in health quality improvement collaboratives. Health Care Manag Rev 2024;49:46–58. 10.1097/HMR.0000000000000385 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Hollnagel E, Wears RL, Braithwaite J. From Safety-I to Safety-II: A white paper. NHS England, 2015. https://www.england.nhs.uk/signuptosafety/wp-content/uploads/sites/16/2015/10/safety-1-safety-2-whte-papr.pdf (https://www.england.nhs.uk/signuptosafety/wp-content/uploads/sites/16/2015/10/safety-1-safety-2-whte-papr.pdf) (30 January 2025, date last accessed).
- 14. Witter S, Thomas S, Topp SM et al. Health system resilience: a critical review and reconceptualisation. Lancet Glob Health 2023;11:e1454–e1458. 10.1016/S2214-109X(23)00279-6 [DOI] [PubMed] [Google Scholar]
- 15. Vanderhaegen F. Erik Hollnagel: Safety-I and Safety-II, the past and future of safety management. Cognition, Technology & Work 2015;17:461–4. 10.1007/s10111-015-0345-z [DOI] [Google Scholar]
- 16. Wiegmann DA, Wood LJ, Cohen TN et al. Understanding the “Swiss cheese model” and its application to patient safety. J Patient Saf 2022;18:119–23. 10.1097/PTS.0000000000000810 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Vincent C, Amalberti R. Safety in healthcare is a moving target. BMJ Qual Saf 2015;24:539–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Carayon P, Wetterneck T, Rivera A et al. Human factors systems approach to healthcare quality and patient safety. Appl Ergon 2014;45:14–25. 10.1016/j.apergo.2013.04.023 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Edmondson AC. Psychological safety and learning behavior in teams. Adm Sci Q 1999;44:350–83. [Google Scholar]
- 20. Park OB, Kim HJ, Lee J et al. The effects of a simulation-based patient safety education program on operating room nurses. J Patient Saf 2023;19:e123–e129. https://pubmed.ncbi.nlm.nih.gov/37957969/ [Google Scholar]
- 21. del Castillo FA. Plan–do–study–act cycle: resilient health systems through continuous improvement. J Public Health 2022;44:e297–e298. 10.1093/pubmed/fdab211 [DOI] [PubMed] [Google Scholar]
- 22. Schram A, Bonne NL, Henriksen TB et al. Simulation-based team training for healthcare professionals in pediatric departments: study protocol for a nonrandomized controlled trial. BMC Med Educ 2024;24:607. 10.1186/s12909-024-05602-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Sujan MA, Furniss D, Anderson JE et al. Resilient health care as the basis for teaching patient safety: a Safety-II critique of the world health organisation patient safety curriculum. Saf Sci 2019;118:15–21. 10.1016/j.ssci.2019.04.046 [DOI] [Google Scholar]
- 24. Deimazar G, Sheikhtaheri A. Machine learning models to detect and predict patient safety events using electronic health records: a systematic review. J Biomed Inform 2023;137:104215. https://pubmed.ncbi.nlm.nih.gov/37837710/ [DOI] [PubMed] [Google Scholar]
- 25. Ghebreyesus TA, Jakab Z, Ryan MJ et al. WHO recommendations for resilient health systems. Bull World Health Organ 2022;100:240–240A. 10.2471/BLT.22.287843 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. De Micco F, Di Palma G, Ferorelli D et al. Artificial intelligence in healthcare: transforming patient safety with intelligent systems—a systematic review. Front Med (Lausanne) 2024;11:1522554. 10.3389/fmed.2024.1522554 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Yu KH, Beam AL, Kohane IS. Artificial intelligence in healthcare. Nat Biomed Eng 2018;2:719–31. 10.1038/s41551-018-0305-z [DOI] [PubMed] [Google Scholar]
- 28. Fleisher LA, Economou-Zavlanos NJ. Artificial intelligence can be regulated using current patient safety procedures and infrastructure in hospitals. JAMA Health Forum 2024;5:e241369. 10.1001/jamahealthforum.2024.1369 [DOI] [PubMed] [Google Scholar]
- 29. Zheng K, Ratwani RM, Adler-Milstein J. Studying workflow and workarounds in electronic health record–supported work to improve health system performance. Ann Intern Med. 2020;172:S116–S122. 10.7326/M19-0871 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Kruk ME, Gage AD, Arsenault C et al. High-quality health systems in the sustainable development goals era: time for a revolution. Lancet Glob Health 2018;6:e1196–e1252. 10.1016/S2214-109X(18)30386-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Lee SH, Phan PH, Dorman T et al. Handoffs, safety culture, and practices: evidence from the hospital survey on patient safety culture. BMC Health Serv Res 2016;16:254. 10.1186/s12913-016-1502-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Coelho F, Furtado L, Tavares M et al. A complex intervention to minimize medication error by nurses in intensive care: a case study. Healthcare (Basel) 2025;13:66. 10.3390/healthcare13010066 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Serou N, Sahota LM, Husband AK et al. Learning from safety incidents in high-reliability organizations: a systematic review of learning tools that could be adapted and used in healthcare. Int J Qual Health Care 2021;33:mzab046. 10.1093/intqhc/mzab046 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Naderbagi A, Loblay V, Zahed IUM et al. Cultural and contextual adaptation of digital health interventions: narrative review. J Med Internet Res 2024;26:e55130. 10.2196/55130 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Frankel A, Graydon-Baker E, Huber C et al. Patient safety leadership WalkRounds. Jt Comm J Qual Saf 2003;29:16–26. 10.1016/S1549-3741(03)29003-1 [DOI] [PubMed] [Google Scholar]
- 36. Tsandila-Kalakou F, Wiig S, Aase K. Factors contributing to healthcare professionals’ adaptive capacity with hospital standardization: a scoping review. BMC Health Serv Res 2023;23:799. 10.1186/s12913-023-09698-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Diaz-Navarro C, Jones B, Pugh G et al. Improving quality through simulation: developing guidance to design simulation interventions following key events in healthcare. Adv Simul (Lond) 2024;9:30. 10.1186/s41077-024-00300-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
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Data Availability Statement
No new data were generated or analysed in this article.
