Building health service management workforce capacity in the era of health informatics and digital health – A scoping review

Brommeyer, Mark; Whittaker, Maxine; Mackay, Mark T; Ng, Fai; Liang, Zhanming

doi:10.1016/j.ijmedinf.2022.104909

Cited by 13 publications

(12 citation statements)

References 29 publications

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“…Implementing the five recommendations above could involve addressing potential barriers, including (1) systemic, with jurisdictional policy and regulatory hurdles to tackle; (2) organisational, with challenges faced in resourcing and a supportive change environment; (3) professional, with challenges in leadership and the recognition of a digital-first mindset; and (4) individual, with required changes in work practice reform and a supportive work environment [ 115 ].…”

Section: Discussionmentioning

confidence: 99%

Challenging the Myth of the Digital Native: A Narrative Review

2023

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Background and Aims: Nurses are increasingly engaging with digital technologies to enhance safe, evidence-based patient care. Digital literacy is now considered a foundational skill and an integral requirement for lifelong learning, and includes the ability to search efficiently, critique information and recognise the inherent risk of bias in information sources. However, at many universities, digital literacy is assumed. In part, this can be linked to the concept of the Digital Native, a term first coined in 2001 by the US author Marc Prensky to describe young people born after 1980 who have been surrounded by mobile phones, computers, and other digital devices their entire lives. The objective of this paper is to explore the concept of the Digital Native and how it influences undergraduate nursing education. Materials and Methods: A pragmatic approach was used for this narrative review, working forward from Prensky’s definition of the Digital Native and backward from contemporary sources of information extracted from published health, education and nursing literature. Results: The findings from this narrative review will inform further understanding of digital literacy beliefs and how these beliefs influence undergraduate nursing education. Recommendations for enhancing the digital literacy of undergraduate nursing students are also discussed. Conclusions: Digital literacy is an essential requirement for undergraduate nursing students and nurses and is linked with safe, evidence-based patient care. The myth of the Digital Native negates the reality that exposure to digital technologies does not equate digital literacy and has resulted in deficits in nursing education programs. Digital literacy skills should be a part of undergraduate nursing curricula, and National Nursing Digital Literacy competencies for entry into practice as a Registered Nurse should be developed and contextualised to individual jurisdictions.

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Section: Discussionmentioning

confidence: 99%

Challenging the Myth of the Digital Native: A Narrative Review

2023

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“…The study noted that since 2000, “digital health” and “digital” as a term have appeared frequently in research. Interest in digital health has grown exponentially, and articles published before 2000 were excluded to ensure the quality of the included literature (Brommeyer et al, 2023).…”

Section: Methodsmentioning

confidence: 99%

“…The antecedents related to the human aspect predominantly involve nurses, patients, and their interpersonal process. The quantity and quality of nurses serve as crucial structural indicators of care quality and form an essential precondition for "personal involvement," an inherent trait of quality management practices in nursing (Brommeyer et al, 2023). Nurses play a dual role, not just as the end-users of digital technology but as facilitators guiding patients and their caregivers in the configuration, utilization, and troubleshooting of digital health devices (Jedwab, Gogler, Redley, deficiencies in digital skills, and apprehension regarding the learning curve of digital technology among nurses can diminish their propensity to adopt these technologies.…”

Section: Human-related Antecedentsmentioning

confidence: 99%

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Digital Nursing Quality Management: A Concept Analysis

Han

Bai

Zhang

et al. 2023

Preprint

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Background: The rapid advancements in digital technology and its increasing integration into healthcare create an opportunity to leverage these innovations for enhancing nursing quality management. Objective: This paper aims to report the results of a concept analysis of digital nursing quality management. Methods: Rodgers' Evolutionary Method of concept analysis was used to examine the attributes, antecedents, consequences, and related concepts of digital nursing quality management. Findings: Digital Nursing Quality Management is a strategic management approach that systematically utilizes evolving digital technology to pursue optimal nursing quality, guided by the timeless principle of humanistic care. The defining attributes are human-machine collaborativeness, interactive empowerment, and digital ecosystem. Discussion: Incorporating Digital Nursing Quality Management as a supplement to traditional quality management approaches could contribute to improved patient care and healthcare outcomes. Consequently, Digital Nursing Quality Management should receive increased attention in nursing practice, education, and research. Standardized definitions of digital nursing quality management should guide future research and policy development.

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“…On the technical side, system readiness, interoperability, technical application programming interfaces, and nontechnical interfaces are crucial for implementing digital public health. System readiness ensures that digital technologies are compatible with existing health care systems and infrastructure [9,10]. Interoperability is essential to enable different systems to work together seamlessly, enabling for exchange of information and data between different platforms [11,12].…”

Section: Conditions For Successful Digital Change In Health Care and ...mentioning

confidence: 99%

Digital Transformation of Public Health for Noncommunicable Diseases: Narrative Viewpoint of Challenges and Opportunities

Leal Neto,

Von Wyl

2024

JMIR Public Health Surveill

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The recent SARS-CoV-2 pandemic underscored the effectiveness and rapid deployment of digital public health interventions, notably the digital proximity tracing apps, leveraging Bluetooth capabilities to trace and notify users about potential infection exposures. Backed by renowned organizations such as the World Health Organization and the European Union, digital proximity tracings showcased the promise of digital public health. As the world pivots from pandemic responses, it becomes imperative to address noncommunicable diseases (NCDs) that account for a vast majority of health care expenses and premature disability-adjusted life years lost. The narrative of digital transformation in the realm of NCD public health is distinct from infectious diseases. Public health, with its multifaceted approach from disciplines such as medicine, epidemiology, and psychology, focuses on promoting healthy living and choices through functions categorized as “Assessment,” “Policy Development,” “Resource Allocation,” “Assurance,” and “Access.” The power of artificial intelligence (AI) in this digital transformation is noteworthy. AI can automate repetitive tasks, facilitating health care providers to prioritize personal interactions, especially those that cannot be digitalized like emotional support. Moreover, AI presents tools for individuals to be proactive in their health management. However, the human touch remains irreplaceable; AI serves as a companion guiding through the health care landscape. Digital evolution, while revolutionary, poses its own set of challenges. Issues of equity and access are at the forefront. Vulnerable populations, whether due to economic constraints, geographical barriers, or digital illiteracy, face the threat of being marginalized further. This transformation mandates an inclusive strategy, focusing on not amplifying existing health disparities but eliminating them. Population-level digital interventions in NCD prevention demand societal agreement. Policies, like smoking bans or sugar taxes, though effective, might affect those not directly benefiting. Hence, all involved parties, from policy makers to the public, should have a balanced perspective on the advantages, risks, and expenses of these digital shifts. For a successful digital shift in public health, especially concerning NCDs, AI’s potential to enhance efficiency, effectiveness, user experience, and equity—the “quadruple aim”—is undeniable. However, it is vital that AI-driven initiatives in public health domains remain purposeful, offering improvements without compromising other objectives. The broader success of digital public health hinges on transparent benchmarks and criteria, ensuring maximum benefits without sidelining minorities or vulnerable groups. Especially in population-centric decisions, like resource allocation, AI’s ability to avoid bias is paramount. Therefore, the continuous involvement of stakeholders, including patients and minority groups, remains pivotal in the progression of AI-integrated digital public health.

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Building health service management workforce capacity in the era of health informatics and digital health – A scoping review

Cited by 13 publications

References 29 publications

Challenging the Myth of the Digital Native: A Narrative Review

Challenging the Myth of the Digital Native: A Narrative Review

Digital Nursing Quality Management: A Concept Analysis

Digital Transformation of Public Health for Noncommunicable Diseases: Narrative Viewpoint of Challenges and Opportunities

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