The patient experience category of the Quintuple Aim focuses on improving the quality, accessibility, and personalization of care to enhance patient satisfaction and outcomes. Digital health technologies play a crucial role in advancing this goal by enabling virtual care, mobile health apps, wearable devices, and patient portals that facilitate seamless communication between patients and providers. These tools empower individuals to actively engage in their care, access real-time health information, and receive timely interventions, ultimately leading to more patient-centered, efficient, and responsive health care experiences.

The ability to effectively translate digital health knowledge and theory into practical applications within patient care settings is essential to enhancing the patient experience with digital health technologies. Health care students should be supported in developing proficiency in using digital health technologies and applications for patient care, identifying appropriate patient education materials, and acting as advocates for system users [2,37]. Competencies in using electronic health records for comprehensive documentation, effective communication among care providers, and making evidence-informed decisions are needed in today’s health care workforce [4,5,28]. Health care students should be adept at leveraging virtual care platforms for remote consultations and patient monitoring, expanding access to care and addressing health care disparities [10,25,26]. In addition, understanding how digital tools can enhance patient engagement and empower individuals to actively participate in their care and self-management of chronic conditions is essential [11]. Understanding the functionalities and interconnectedness of health information systems, virtual care platforms, mobile health apps, and emerging technologies like artificial intelligence (AI) and robotics is fundamental [1,3,38-40]. Furthermore, understanding the capabilities and limitations of these technologies is essential for their appropriate and effective application in providing quality patient care. If digital health technologies are not effectively integrated into patient care, patients may face reduced access to timely information, fragmented communication with providers, and lower engagement in their own health management, ultimately compromising their overall health care experience. The competency of integrating digital health technologies into care could be assessed through practical simulations, case studies, and reflective assignments that evaluate health care students’ competency in using digital tools for patient management, communication, and decision-making, while also considering their understanding of ethical, privacy, and interoperability concerns (Table 1).

Informatics competencies that enhance patient-centered care focus on human-centered design, usability principles, and patient engagement strategies within digital health solutions. Students should learn to critique digital health technologies, such as patient portals, telehealth and virtual care systems, and mobile health apps, to ensure they are user-friendly, accessible, and culturally sensitive [41,42]. Training in health literacy principles and user-centered design methodologies can foster empathy by deepening health care students' understanding of patient needs, ensuring that digital health solutions are accessible, inclusive, and tailored to diverse populations. If health care professionals understand and apply user-centered design, it will make it easier for patients to navigate and engage with health technologies, ultimately leading to improved patient satisfaction [43]. If user-centered design is not applied when integrating digital health technologies, patients may struggle with inaccessible, confusing, or nonintuitive systems, leading to frustration, decreased engagement, and potential disparities in health care access and outcomes. Health care students’ abilities to apply and understand user-centered design in relation to digital health technologies could be assessed through project-based evaluations where students design, test, and refine digital health solutions, considering patient needs, usability, and accessibility to ensure the technology meets the diverse requirements of end users (Table 1).

For patients and caregivers, digital health literacy is crucial for understanding and managing their own health conditions. With the advent of virtual care, online patient portals, and mobile health apps, patients are increasingly expected to engage with digital platforms [44]. The increased adoption of virtual care, accelerated by the COVID-19 pandemic, underscores the need for health care professionals to be proficient in patient-centered digital literacy [45,46]. This includes using virtual care platforms and mobile health apps effectively to engage with patients remotely [47]. Health care professionals are often required to support patients in using digital health technologies to manage their health [2,48]. Patient-centered digital literacy and virtual care competencies are particularly important as virtual care has become a staple in health care delivery, requiring providers to ensure equitable access and appropriate care via digital means [42,45,46,49]. A lack of digital health literacy can lead to misunderstandings, nonadherence to treatment plans, and ultimately poorer health outcomes [50]. Competencies in patient-centered digital literacy and virtual care skills could be assessed through role-playing scenarios, patient simulations, and assessments that measure health care students’ ability to effectively communicate with patients via digital platforms, educate them about digital tools, and ensure patients can navigate virtual care services with confidence and ease (Table 1).

Ethical training on the appropriate use of digital tools is necessary to navigate complex privacy issues and ensuring health care professionals are equipped with these skills fosters secure and ethical practices in digital health environments [27,51]. In addition, competencies in data privacy, confidentiality, and security are essential, as safeguarding patient data contributes to clinicians’ confidence and comfort in using digital health systems, thereby supporting a safer work environment [52]. Furthermore, integrating ethical frameworks into digital health education can help health care professionals recognize and address biases, promote equitable access to technology, and uphold patient autonomy in an increasingly digital health care landscape. If ethical practices are not incorporated into digital health education, there is a risk of compromising patient privacy, consent, and autonomy, which can undermine trust in health care systems and negatively impact patient experiences [52]. Ethical practice competencies may be assessed through case-based discussions, ethical dilemma scenarios, and reflective essays that evaluate health care students' understanding of privacy, data security, informed consent, and the responsible use of technology in patient care (Table 1).

Strong communication skills are critical for the effective use of digital health technologies to interact with patients, explain complex information, and provide clear instructions [51]. For instance, explaining the use of health information technologies, providing educational resources on conditions, treatments, procedures, or guiding patients on using digital health apps requires excellent communication skills. Health care professionals must also be trained in communication competencies, such as digital compassion and patient advocacy, so as to better facilitate positive experiences for patients [20,21,53,54]. These competencies are particularly crucial in virtual care, where fostering patient trust and engagement without face-to-face interaction demands a specialized skill set [45,46]. If communication skills are not incorporated into digital health education, patients may experience a lack of emotional connection with health care providers, leading to diminished patient satisfaction and outcomes. Communication skills may be assessed through interactive exercises, such as virtual patient consultations or collaborative team simulations, where health care students are evaluated on their ability to clearly explain digital health tools, address patient concerns, and facilitate effective communication through digital platforms (Table 1).

Genomic competencies empower health care providers to deliver more precise and personalized care, identifying genetic factors that influence disease risk, medication responses, and treatment options [41]. By integrating genomic data into clinical decision-making, practitioners can tailor interventions to each patient’s unique genetic profile, potentially improving the efficacy of treatments and reducing adverse reactions to medications [41,55,56]. As genomic technology continues to evolve, training in this area not only supports patient outcomes but also contributes to more efficient, cost-effective, and equitable health care by reducing trial-and-error in treatments and focusing on individualized approaches [55-58]. Without adequate training in genomics, health care professionals may struggle to interpret complex genetic data, limiting their ability to leverage these advancements in clinical practice and potentially widening disparities in access to precision medicine. Genomics competencies may be assessed through case studies, quizzes, and practical exercises that test health care students’ ability to interpret genetic data, apply genomic information in clinical decision-making, and use digital tools for personalized patient care (Table 1).

The provider experience category of the Quintuple Aim emphasizes the well-being, satisfaction, and efficiency of health care professionals, recognizing that a supported workforce is essential for high-quality patient care. Digital health technologies contribute to this goal by streamlining workflows, reducing administrative burdens, and enhancing communication through electronic health records, clinical decision support systems, and telehealth platforms. These tools can help mitigate burnout by improving efficiency, reducing repetitive tasks, and allowing providers to focus more on patient care. When effectively integrated, digital health solutions potentially foster a more sustainable and rewarding work environment for health care professionals.

Understanding interoperability standards to facilitate enhanced care coordination can help leverage the full potential of digital health technologies [9]. This encompasses an understanding of interoperability and data standards, enabling the seamless exchange of health information between different systems and care settings [59]. As scopes of practice shift and we are faced with workforce shortages and the emergence of new roles, having access to comparable, sharable data derived from the use of clinical data standards has the potential to provide support for human resource and health policy decisions at local, regional, and national levels [60,61]. As we plan for a future where AI is foundational to facilitate evidence-informed decision-making, it is vital that we have standardized clinical data to inform care decisions and resource allocation. If interoperability principles are not incorporated into digital health education, health care providers may face fragmented systems, difficulty accessing patient information across platforms, and increased administrative burden, all of which can hinder clinical decision-making and job satisfaction [52]. Health care students’ understanding and use of interoperability principles could be assessed through scenario-based assignments and system integration projects where they demonstrate their ability to navigate and connect various digital health platforms, ensuring seamless data exchange and collaboration across health care settings (Table 1).

Designing user-friendly digital health systems that minimize cognitive load and enhance workflow efficiency can significantly improve provider well-being [34]. Digital health education programs should include principles of human-computer interaction, usability testing, and ergonomics to ensure systems are intuitive and supportive of provider workflows [4,5,28,34]. Digital health systems generate numerous alerts and notifications, potentially contributing to provider burnout. Training can address strategies for managing alert fatigue, including customization, prioritization, and effective communication protocols to minimize unnecessary interruptions and streamline information flow [62].

Key competencies also include ergonomics, cognitive load theory, and human factors in technology design. These informatics skills empower health care providers to design and implement systems that minimize administrative burden, optimize usability, and reduce unnecessary interruptions during clinical workflows [63]. For example, well-designed electronic health record interfaces that prioritize intuitive navigation and minimize excessive documentation can significantly reduce cognitive overload, allowing providers to focus more on direct patient care.

Training in workflow optimization and data automation is also vital, as these competencies enable professionals to implement time-saving measures within electronic health record systems and other digital health tools. Reducing the time spent on repetitive or low-value tasks allows clinicians to dedicate more time to patient care, which can enhance job satisfaction and reduce burnout [63]. In addition, an understanding of implementation science, which guides the successful integration of new technologies into health care systems, may help optimize workflow by identifying barriers to technology adoption, refining processes to enhance efficiency, and ensuring digital tools seamlessly integrate into clinical practice [10]. If user-centered design and workflow optimization are not incorporated into digital health education, health care providers may encounter inefficient, cumbersome systems that increase cognitive load, disrupt clinical workflows, and contribute to burnout and frustration. User-centered design and workflow optimization could be assessed through hands-on projects where health care students design digital health solutions that prioritize user experience, streamline clinical processes, and demonstrate the ability to enhance efficiency and usability within health care environments (Table 1).

The rapid evolution of the digital health landscape necessitates the ability to critically evaluate new tools, discern their potential benefits and limitations, and assess their impact on health care delivery and outcomes [48,64]. This competency involves building a strong theoretical understanding of health informatics, staying abreast of emerging technologies, recognizing their strengths and weaknesses, and developing the ability to translate data and research findings into evidence-informed practices. A strong understanding of data science and bioinformatics can further enhance the ability to critically analyze health data and contribute to the development of novel digital health solutions [42]. If critical thinking and evaluation are not incorporated into digital health education, health care providers may struggle to assess the effectiveness of digital tools, leading to suboptimal decision-making, reduced confidence in technology, and potential negative impacts on patient care. Critical thinking and evaluation skills could be assessed through analytical case studies, where health care students critically assess the effectiveness of digital health tools, identify potential areas for improvement, and evaluate their impact on patient care and health care workflows (Table 1).

Digital technologies that enhance evidence-informed practice, such as clinical decision support systems, are becoming central to health care delivery. Educating clinicians on the use and optimization of these tools helps improve diagnostic accuracy, decision-making, and treatment planning [20]. Furthermore, familiarity with decision support technologies enables health care professionals to access real-time evidence, which is crucial for safe, high-quality care [20]. Failing to advance the use of clinical decision support and evidence-based practice using digital technologies may lead to outdated treatments, increased medical errors, and missed opportunities for improving patient outcomes through data-driven insights. Clinical decision support and evidence-based practice skills may be assessed through simulations or practical examinations where health care students use digital tools to make data-driven decisions, incorporate the latest clinical guidelines, and evaluate the outcomes of their decisions in patient care scenarios (Table 1).

The reduced costs category of the Quintuple Aim focuses on lowering health care expenses while maintaining or improving the quality of care. Digital health technologies contribute significantly to cost reduction by streamlining administrative tasks, reducing hospital readmissions, and enabling remote monitoring through telehealth and mHealth apps. By automating routine processes, improving care coordination, and providing patients with more proactive management of chronic conditions, these technologies can minimize the need for costly in-person visits and prevent unnecessary hospitalizations. Ultimately, the integration of digital tools could create a more efficient and financially sustainable health care system.

Proficiency in using electronic health records to streamline documentation, reduce redundancy, and improve care coordination can lead to significant cost savings. Training should go beyond basic data entry and focus on leveraging decision support systems, expert systems, and other features to optimize clinical workflows and resource usage [37,48]. Telehealth adoption is rapidly increasing, offering cost-effective virtual care delivery models. Digital health education programs should incorporate telehealth and virtual care training, equipping providers with the skills to conduct virtual visits, remotely monitor patients, and use virtual care platforms effectively [2,45-47]. To help empower informatics professionals to advocate for cost-effective technology adoption and usage, they should also be aware of the economic implications of digital health technologies, including cost-benefit analysis, return on investment, and value-based health care models [34]. If the efficient use of digital health technologies is not incorporated into digital health education, health care systems may face increased operational costs due to inefficiencies, higher rates of preventable hospitalizations, and missed opportunities for cost-saving innovations such as telehealth and automation. Efficient use of digital health technologies could be assessed through timed exercises or real-world simulations where health care students demonstrate their ability to quickly and accurately navigate digital health systems, manage patient data, and complete tasks with minimal errors and maximum efficiency (Table 1).

With the growing reliance on digital tools comes the increased risk of data breaches and cyberattacks. Competency in cybersecurity, including understanding data protection principles and mitigating security risks, is essential for maintaining patient trust and ensuring the safety of health information systems [65]. Cybersecurity, privacy, and ethical use of digital health technologies reduce health care costs by safeguarding sensitive information, preventing data breaches, and ensuring trust in digital systems. Effective cybersecurity measures prevent costly breaches that can lead to financial penalties, legal liabilities, and expensive recovery processes [65]. In addition, ethical use of digital health technologies ensures transparency, fostering patient trust, which encourages technology adoption and self-management [27]. If cybersecurity, privacy, and the ethical use of digital health technologies are not incorporated into digital health education, health care systems may face costly data breaches, legal penalties, and loss of patient trust, ultimately leading to increased financial and reputational risks. Cybersecurity, privacy, and the ethical use of digital health technologies may be assessed through written examinations, case studies, or scenario-based discussions that test health care students’ knowledge of data protection laws, ethical guidelines, and strategies for safeguarding patient information in digital health environments (Table 1).

Promoting interoperability and connected care in health care reduces costs by improving coordination and access to complete patient information, which decreases unnecessary tests, procedures, and medication errors [52]. These systems streamline administrative tasks, lowering overhead, and support value-based care models focused on quality outcomes. In addition, by enabling population health management and enhancing patient engagement, interoperability fosters preventive care and self-management, further lowering expenditures associated with chronic conditions and emergency care. Overall, interoperability creates a more efficient, cohesive, and cost-effective health care environment [52,66]. If digital health ecosystems and interoperability are not incorporated into digital health education, health care organizations may incur higher costs due to redundant testing, inefficiencies in data sharing, and fragmented care coordination, leading to suboptimal resource use. Health care students’ understanding of digital health ecosystems and interoperability could be assessed through group projects where they analyze and design solutions that demonstrate how different digital health platforms can communicate and work together to improve patient care and health care outcomes (Table 1).

The reduction of health care costs can be achieved through the application of informatics competencies such as data analysis. Cost analysis skills help professionals make data-informed decisions that balance cost and quality in patient care, while health economics education emphasizes understanding economic drivers within health care [34]. Cost-benefit analysis tools within digital health platforms allow for optimized resource allocation and reduced waste, ultimately reducing costs while maintaining quality. Through these competencies, digital health practitioners can advocate for financial strategies that lower costs without compromising care quality. If data analysis is not incorporated into digital health education, health care systems may struggle to identify cost-saving opportunities, leading to inefficient resource allocation, increased waste, and missed chances for data-driven decision-making that could enhance financial sustainability. The data analysis competency may be assessed through data-driven case studies or analytical projects where health care students interpret health care data, identify trends, and make evidence-based recommendations for improving patient outcomes or optimizing health care processes (Table 1).

The population health category of the Quintuple Aim focuses on improving health outcomes across communities by addressing preventive care, chronic disease management, and health disparities. Digital health technologies support this goal by enabling large-scale data collection, predictive analytics, and remote monitoring, allowing health care providers to identify trends, allocate resources efficiently, and implement targeted interventions. Tools such as electronic health records, virtual care platforms, and mobile health apps enhance access to care, especially for underserved populations, while data-driven insights help inform public health strategies. By leveraging digital health, health care systems can promote proactive, equitable, and efficient approaches to population health management.

To improve population health, health care professionals must be skilled in using data analytics to assess and address health trends and disparities. Health informatics education programs should thus prioritize competencies in population health informatics, which includes training in data collection, analysis, and interpretation related to population health metrics [20,21]. In addition, familiarity with tools for epidemiological analysis and population health management, including geospatial mapping and predictive analytics, can equip graduates with the knowledge to identify at-risk populations and forecast public health trends [21,25].

Understanding social determinants of health and leveraging big data are also central to enhancing population health, as they enable health care providers to integrate nonclinical factors impacting patient outcomes into their care approaches [42,49]. Analysis of social, behavioral, and environmental determinants of health supports the delivery of personalized care. The ability to collect, store, manage, analyze, and interpret health data is indispensable in the digital health era.

This competency also encompasses data literacy and the ability to critically appraise data quality and reliability [59]. Students should develop proficiency in basic statistics, data visualization techniques, and gain an understanding of data governance and privacy principles, which are particularly critical given the sensitive nature of health information and the need to maintain patient confidentiality [28,34]. As digital health technologies become increasingly sophisticated in capturing social, behavioral, and environmental determinants of health, health care professionals must be able to analyze and use this data to deliver personalized and holistic care, as well as appreciate the extent that digital health technologies impact the planet [2,67-69]. If data management and analysis are not incorporated into digital health education, health care systems may struggle to track disease patterns, allocate resources effectively, and develop targeted public health interventions, ultimately hindering efforts to improve population health outcomes. Health care students’ understanding of data management and analysis in relation to digital health and population health could be assessed through projects where they analyze large datasets to identify health trends, evaluate interventions, and propose strategies for improving population health outcomes using digital tools and evidence-based insights (Table 1).

AI is being increasingly used to enhance population health strategies through predictive analytics. Health care leaders must stay abreast of emerging technologies such as AI, robotics, and big data analytics [21,40,70]. AI marks a pivotal advancement in the digital transformation of health care, and traditional health care education and training often do not sufficiently address the digital competencies required for its effective use [40]. To ensure the safe and efficient adoption of AI, health care professionals need foundational knowledge in machine learning and neural networks, skills for critical evaluation of datasets, and the ability to integrate AI into clinical workflows while managing bias and ensuring smooth human-machine interaction in clinical settings. Furthermore, an understanding of the legal and ethical implications of digital health and the broader impact of AI adoption is essential [3,12,33,39,49,70]. If adaptability to emerging technologies is not incorporated into digital health education, health care systems may fall behind in implementing innovative solutions, limiting their ability to address evolving public health challenges and widening disparities in access to effective care. Adaptability to emerging technologies may be assessed through hands-on exercises or simulations where health care students are tasked with quickly learning and integrating new digital health tools into clinical practice, demonstrating flexibility and problem-solving skills in response to evolving health care technologies (Table 1).

Health care professionals should be equipped to champion digital health transformation and spearhead initiatives that promote the adoption and integration of digital technologies within health care organizations and systems [27,42,59]. This competency includes a grasp of change management principles, enabling graduates to navigate the complexities and challenges associated with implementing new technologies and workflows [20,21]. Proficiency in project management is also vital, ensuring the organized planning, execution, and evaluation of digital health initiatives [20,21]. If leadership, change management, and project management skills are not incorporated into digital health education, health care organizations may struggle to implement and scale digital health initiatives effectively, leading to fragmented care, inefficient resource use, and missed opportunities to improve health outcomes. Leadership, change management, and project management skills in relation to digital health could be assessed through team-based projects where health care students plan, execute, and evaluate the implementation of digital health solutions, demonstrating their ability to lead, manage stakeholder expectations, and navigate challenges in health care technology integration (Table 1).

The health equity category of the Quintuple Aim focuses on reducing disparities in health care access, quality, and outcomes across diverse populations. Digital health technologies support this goal by expanding access to care through telemedicine, mobile health apps, and remote monitoring, particularly for underserved and rural communities. In addition, data analytics and AI can help identify health disparities, enabling targeted interventions and resource allocation. However, to fully realize these benefits, digital health solutions must be designed with inclusivity in mind, ensuring accessibility for individuals with varying levels of digital literacy, socioeconomic backgrounds, and health care needs.

Digital health interventions must be designed to avoid widening existing health inequities. Training should highlight the role of social determinants and the need for equitable technology use, as well as the role that data standards play in ensuring clinical documentation accurately reflects representation of social determinants of health [58]. Culturally sensitive and accessible digital tools are essential, and education programs must stress the importance of cultural considerations to ensure fair access [42,45,49]. Health care professionals also need advocacy skills for the ethical deployment of digital health solutions to prevent these technologies from exacerbating disparities [37]. If addressing digital health disparities is not incorporated into digital health education, existing health care inequities may worsen, as underserved populations could face barriers to accessing digital tools, leading to gaps in care and poorer health outcomes. Health care students’ ability to address digital health disparities may be assessed through case studies or community-based projects where they identify barriers to digital health access, propose strategies for increasing inclusivity, and evaluate the impact of their solutions on underserved populations (Table 1).

Limited access to personal health data leads to fragmented care, delays in diagnosis, and increased health care costs [52,66]. Ensuring patients have control over their health data is vital for improving outcomes, especially for marginalized communities [42,71]. Limited access disproportionately affects vulnerable groups, reinforcing health disparities and increasing the economic burden on both individuals and the health care system. Equitable access to health data is crucial for high-quality care and patient autonomy [42,66]. Importantly, “health data access” encompasses both individual-level access, where patients control, view, and share their personal health records, and population-level access, where aggregated data systems support public health surveillance, population health planning, and policy development. Competent digital health professionals must understand and ethically navigate both dimensions to effectively address inequities and improve community health outcomes [72]. If health data access is not incorporated into digital health education, marginalized communities may face continued barriers to care, as health care providers could lack the tools and knowledge to leverage data effectively, exacerbating disparities in health outcomes and access to services. Understanding of health data access could be assessed through practical exercises or written assignments where health care students analyze the ethical, legal, and technical aspects of accessing and sharing health data, ensuring compliance with regulations while considering patient privacy and data security (Table 1).

Understanding Indigenous Data Sovereignty helps professionals create data systems respectful of Indigenous cultural and ethical values. Principles like OCAP (Ownership, Control, Access, Possession) emphasize self-determination, advocating for ethical guidelines that honor Indigenous perspectives on health data [73,74]. Indigenous community involvement in research phases is essential to uphold ethical standards and enhance trust and relevancy in findings [75]. However, the scope of Indigenous Data Sovereignty extends beyond research. It must also be applied to public health surveillance, health system planning, and digital infrastructures to ensure that data about Indigenous populations is governed in ways that align with Indigenous laws, protocols, and priorities aligned with specific Nations. Indigenous communities should have equitable access to their own data to support local decision-making, health planning, and service delivery. Embedding Indigenous data governance at community, institutional, and policy levels enables Indigenous-led responses to health challenges and advances broader goals of health equity and reconciliation [76]. If Indigenous data sovereignty is not incorporated into digital health education, there is a risk of exploiting or misusing Indigenous health data without proper consent or oversight, potentially undermining trust and perpetuating historical injustices in health care. Health care students’ understanding of Indigenous data sovereignty may be assessed through case studies or reflective essays where they analyze the importance of respecting Indigenous peoples’ control over their health data, explore ethical considerations, and demonstrate how to apply culturally appropriate practices in digital health initiatives (Table 1).

Digital health literacy is vital for patients, caregivers, and health care professionals alike. Patients need digital health literacy to manage their care effectively. Providers, leaders, and researchers must understand and use digital tools, as literacy across these groups supports quality care, informed decision-making, and research innovation. Digital health literacy fosters improved understanding, adherence, and outcomes across the health care system [50]. If health literacy and patient education are not incorporated into digital health education, patients may struggle to understand and effectively use digital health tools, exacerbating health disparities and hindering efforts to promote equitable access to care and tailor education to diverse literacy levels and needs. Health literacy and patient education in relation to digital health could be assessed through role-playing exercises or patient simulation scenarios where health care students demonstrate their ability to effectively communicate digital health information, assess patient comprehension, and tailor education to diverse literacy levels and needs (Table 1).

Digital health competencies, such as interoperability, data literacy, and person-centered care principles, overlap across the 5 domains of the Quintuple Aim, enhancing both patient and provider experiences. These competencies promote equitable patient-centered care by improving access, streamlining care processes, and supporting population health efforts. A comprehensive approach to digital health education enables health care professionals to meet the diverse, interconnected demands of modern health care, supporting both individual and population-level outcomes. Failing to create a comprehensive approach to digital health education in relation to the Quintuple Aim could lead to fragmented health care delivery, where inefficiencies persist, patient experiences, health outcomes remain unequal, and costs rise, ultimately hindering the achievement of improved health for all.