Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Current challenges in the application of Maslow's Hierarchy of Needs for patients in the intensive care unit in terms of artificial intelligence and telemedicine
1
Zitationen
1
Autoren
2025
Jahr
Abstract
Maslow's Hierarchy of Needs, introduced by Abraham Maslow in 1943, is a five-tier model outlining human needs, starting from basic physiological needs and progressing to self-actualization.1 In the intensive care unit (ICU), patients often face life-threatening conditions that impede their ability to meet these needs, as the high-stress environment—marked by invasive interventions, constant monitoring and limited autonomy—hinders even their basic physiological and safety needs.2 The integration of artificial intelligence (AI) in health care, including predictive analytics and telemedicine tools such as virtual family meetings, offers both opportunities and challenges.3 While AI enhances monitoring and supports clinical decisions, it can also lead to information overload, diminishing the quality of human interaction and emotional support. Similarly, while telemedicine enables communication between patients and families, it may inadvertently foster emotional detachment as family members focus on screens rather than meaningful in-person support. This commentary explores the challenges ICU patients face in meeting their needs as outlined in Maslow's Hierarchy. It examines how the adoption of AI and telemedicine in the ICU complicates care strategies, particularly regarding AI-driven monitoring, telecommunication for family communication and their impact on emotional and psychological care. By addressing these aspects, the paper highlights the potential benefits and challenges of these technologies in fulfilling the comprehensive needs of ICU patients. At the foundation of Maslow's hierarchy lies essential physiological needs, such as food, water and medical care, which are particularly critical for patients in the intensive care unit (ICU).4 For these individuals, the complexity of their physiological needs can become pronounced due to the severity of their medical conditions. Many ICU patients are unable to eat or drink due to intubation, sedation or medical interventions, raising their risk of malnutrition and dehydration.5 While timely medical care is paramount, challenges such as staffing shortages, resource limitations and reliance on AI-powered monitoring systems can threaten the quality of care. Although predictive analytics and machine learning enhance patient monitoring, they can lead to information overload among health care providers.6 This barrage of alerts can distract them from addressing the immediate physiological needs of patients, compounding the distress these individuals may already feel. Common sources of discomfort, such as invasive procedures and limited mobility, heighten feelings of anxiety and vulnerability, which are intrinsically linked to Maslow's framework.7 The rise of AI and telemedicine brings forth critical implications for emotional well-being. While these technologies improve access to care, they may inadvertently undermine vital human connections during health crises.8 The reliance on algorithms and telehealth interfaces can create emotional distance, making patients feel isolated and less valued as individuals.9 Furthermore, the absence of empathetic human interaction can deepen feelings of loneliness and despair, leading to significant impacts on recovery and overall psychological health.10 Thus, when both physiological and emotional needs are unmet, recovery is hindered, creating a cycle of distress that ultimately impacts overall health outcomes. Safety needs encompass the physical and emotional security of patients, which can be particularly challenging in the ICU, where constant monitoring, alarms and medical interventions often heighten anxiety and fear.11 The use of AI tools for patient monitoring has increased significantly over the past decade, enhancing patient safety and care efficiency. However, this reliance has led to ‘alarm fatigue’, where health care providers become desensitized to alarm signals, potentially overlooking critical indicators of patient distress.12, 13 This saturation of alerts can jeopardize patient safety, especially when staff are overwhelmed.14 The constant exposure to life-threatening situations and data overload generates high emotional stress for both patients and their families.15 This stress can hinder patients from addressing higher-level needs, such as emotional well-being and social connections, as outlined in Maslow's Hierarchy.16 Fear and anxiety can impede patients' willingness to engage with family and health care providers, adversely affecting their recovery and psychological health.17, 18 Telemedicine, including virtual family meetings and real-time updates, allows families to stay informed about their loved ones' conditions. While this connection can enhance feelings of safety, it may also increase anxiety as families confront uncertainties about health outcomes.23 The stress experienced by families can impact patients, as they may sense their relatives' distress.19 Addressing these interconnected needs is crucial for fostering a supportive environment for patients and their families during challenging times. Belongingness and love, essential for social relationships and emotional connections, can be profoundly disrupted in the ICU, where patients may be sedated or unconscious, leading to isolation from loved ones.20 AI-driven communication tools, such as messaging apps and video calls, allow families to maintain connections and provide updates, serving as a lifeline for expressing support during physical absence.21 Families can share encouraging messages that may reach sedated patients, fostering feelings of familiarity.22 However, over-reliance on technology can lead to emotional disconnection, as family members may focus on screens rather than meaningful interactions, creating a sterile emotional environment.23, 24 Additionally, witnessing a loved one in a vulnerable state while relying solely on screens can heighten anxiety and helplessness.25 Therefore, health care providers must carefully balance technology use with opportunities for genuine human connection to nurture patients' emotional well-being. Esteem needs relate to the desire for respect, recognition and self-worth, which can be significantly impacted in the ICU. Patients often experience a loss of autonomy, leading to diminished self-esteem.26 While technologies like automated monitoring systems and AI-driven decision support tools can streamline care, they may inadvertently overlook patients' individual needs and preferences, generating feelings of helplessness and frustration.27 The stigma of being in the ICU can further erode a patient's sense of identity, making them feel marginalized.28 Telemedicine can exacerbate this issue, as patients might see themselves as mere data points in a digital system, leading to feelings of dehumanization.29 This shift focuses more on clinical metrics than on the individual's dignity. Additionally, as health care further digitizes, concerns about patient confidentiality arise.30 While telemedicine and AI tools enhance communication, they may expose sensitive health information to family members and others, raising issues of privacy and potentially objectifying patients.31 Balancing technological advances with the preservation of patients' rights and dignity is essential for fostering an environment that supports self-worth and agency. Self-actualization, the pursuit of personal growth and the fulfilment of one's potential, is particularly challenging for ICU patients due to their overwhelming medical needs. These extensive needs often overshadow personal aspirations, making it difficult for patients to focus on their individual hopes and dreams.32 The emphasis on data-driven decision-making through AI further complicates this pursuit by prioritizing statistical outcomes over individual patient narratives. This can cause health care providers to overlook the unique desires and aspirations of patients, thereby limiting opportunities for personal growth.33, 34 Additionally, scholars argue that self-actualization may never be fully attainable for anyone, influenced by societal, psychological and contextual limitations.35 For ICU patients, the psychological impact of illness—often manifested as depression and anxiety—can create significant barriers to realizing personal goals. Concerns about data privacy and the impersonality of technology further complicate their emotional well-being. While telemedicine can facilitate discussions about recovery goals, it also introduces pressures related to family expectations. The continuous sharing of medical information can burden patients, making them feel compelled to meet external demands rather than pursue their own aspirations. This complicates their journey towards recovery and personal fulfilment. Interestingly, AI can support self-actualization when used thoughtfully. By developing personalized treatment plans that consider individual narratives, health care providers can align care with the personal goals of ICU patients. This tailored approach may empower patients, fostering a sense of ownership over their recovery and facilitating personal growth. Addressing the challenges ICU patients face concerning Maslow's Hierarchy of Needs requires a comprehensive approach rooted in nursing practice, particularly for those who are often sedated and unable to express their needs or engage in social interactions. The state of sedation, which is common in the ICU due to the severity of patients' medical conditions, presents unique barriers to fulfilling their physiological and psychological needs and can exacerbate feelings of isolation and emotional distress. Recognizing that attending to all levels of patient needs is essential for improved recovery outcomes, nurses must prioritize physical comfort, safety and overall well-being.36 Given the constraints posed by staffing shortages, leveraging AI-driven tools can enhance care efficiency while mitigating information overload, for instance, AI systems can be programmed to filter and prioritize alerts, enabling nurses to focus on critical patient needs without being overwhelmed.37 In the context of the ICU, optimizing the environmental setting becomes critical, including minimizing noise to support physiological rest and emotional health, which is fundamental in critical care.38 Technology plays a pivotal role, for example, AI-based noise-monitoring systems provide real-time feedback about excessive noise levels, allowing the health care team to create a more therapeutic atmosphere for sedated patients. Additionally, enhancing emotional support through telemedicine can be transformative.39 Virtual platforms that facilitate communication with family members help mitigate feelings of isolation among patients who cannot actively engage due to sedation.40 By providing AI-driven tutorials, nurses can educate families on using these telehealth tools effectively and confidently, helping to lessen their stress. Recognizing and addressing the psychological needs of ICU patients is vital, especially in an environment characterized by overwork and limited resources.41 While sedated, patients may become increasingly vulnerable to anxiety and depression, making it essential for nurses to partner with mental health professionals for integrated support services.42 AI-assisted mental health screening tools can help nurses quickly identify at-risk patients, allowing for timely interventions. Furthermore, creating a compassionate space that includes active listening and emotional validation from the care team—even for families—can reassure and support emotional needs during challenging times.43 AI can also aggregate data about patient concerns and fears, enabling a personalized care approach based on trends and insights.44 Empowering patients by involving their families in shared decision-making is essential for enhancing autonomy, even for those who are sedated.45 AI tools provide clear, accessible information about patients' conditions and treatment options, facilitating family involvement and supporting their need for understanding and belonging. By tracking and acknowledging patients' recovery milestones through AI, nurses can foster a sense of achievement and motivation for families.46 As challenges like missed care and overwork persist in ICUs, the strategic integration of AI and telemedicine offers viable pathways for holistic, patient-centred care.47 By adopting an innovative approach that includes effective technology use and family education, nurses can effectively address the complex needs of ICU patients—even those who are sedated—contributing to improved overall care outcomes. This ensures that both physical and emotional needs are attended to within the framework of Maslow's hierarchy amidst the constraints of the critical care environment, reaffirming the irreplaceable role of human presence in nursing care. The challenges patients face in the ICU highlight the importance of addressing all levels of Maslow's Hierarchy of Needs to support recovery and well-being. Compounding the inability to meet basic physiological needs are threats to safety, disrupted relationships, diminished self-esteem, barriers to self-actualization and the complexities introduced by AI and telemedicine integration. This underscores the need for holistic patient care strategies prioritizing human interactions and personal connections. By understanding and addressing these needs comprehensively, health care providers can significantly enhance the quality of care, promote resilience and improve outcomes for patients in the ICU.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.312 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.169 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.564 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.466 Zit.