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Background: Australian nursing programs aim to introduce students to digital health requirements for practice. However, innovation in digital health is more dynamic than education providers' ability to respond. It is uncertain whether what is taught and demonstrated in nursing programs meets the needs and expectations of clinicians with regard to the capability of the nurse graduates. Objective: This study aims to identify gaps in the National Nursing and Midwifery Digital Health Capability Framework , based on the perspectives of clinical nurses, and in nurse educators' confidence and knowledge to teach. The findings will direct a future co-design process. Methods: This study triangulated the findings from 2 studies of the Digital Awareness in Simulated Health project and the National Nursing and Midwifery Digital Capability Framework. The first was a qualitative study that considered the experiences of nurses with digital health technologies during the COVID-19 pandemic, and the second was a survey of nurse educators who identified their confidence and knowledge to teach and demonstrate digital health concepts. Results: The results were categorized by and presented from the perspectives of nurse clinicians, nurse graduates, and nurse educators. Findings were listed against each of the framework capabilities, and omissions from the framework were identified. A series of statements and questions were formulated from the gap analysis to direct a future co-design process with nursing stakeholders to develop a digital health capability curriculum for nurse educators. Conclusions: Further work to evaluate nursing digital health opportunities for nurse educators is indicated by the gaps identified in this study.

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AIM: This study explored the knowledge and confidence levels of nursing academics in teaching both the theories and practical skills of digital health in undergraduate nursing programs. DESIGN: A cross-sectional study. METHODS: A structured online survey was distributed among nursing academics across Australian universities. The survey included two sections: (1) the participants' demographics and their nursing and digital health teaching experience; (2) likert scales asking the participants to rate their knowledge and confidence to teach the theories and practical skills of four main themes; digital health technologies, information exchange, quality and digital professionalism. RESULTS: One hundred and nineteen nursing academics completed part one, and 97 individuals completed part two of the survey. Only 6% (n = 5) of the participants reported having formal training in digital health. Digital health was mainly taught as a module (n = 57, 45.9%), and assessments of theory or practical application of digital health in the nursing curriculum were uncommon, with 79 (69.9%) responding that there was no digital health assessment in their entry to practice nursing programs. Among the four core digital health themes, the participants rated high on knowledge of digital professionalism (22.4% significant knowledge vs. 5.9% no knowledge) but low on information exchange (30% significant knowledge vs. 28.3% no knowledge). Statistically significant (p < .001) associations were found between different themes of digital health knowledge and the level of confidence in teaching its application. Nursing academics with more than 15 years of teaching experience had a significantly higher level of knowledge and confidence in teaching digital health content compared with those with fewer years of teaching experience. CONCLUSION: There is a significant gap in nursing academics' knowledge and confidence to teach digital health theory and its application in nursing. Nursing academics need to upskill in digital health to prepare the future workforce to be capable in digitally enabled health care settings. IMPLICATIONS FOR THE PROFESSION: Nursing academics have a limited level of digital knowledge and confidence in preparing future nurses to work in increasingly technology-driven health care environments. Addressing this competency gap and providing sufficient support for nursing academics in this regard is essential. IMPACT: What problem did the study address? Level of knowledge and confidence among nursing academics to teach digital health in nursing practice. What were the main findings? There is a significant gap in nursing academics' knowledge and confidence to teach digital health theory and its application in nursing. Where and on whom will the research have an impact? Professional nursing education globally. REPORTING METHOD: The STROBE guideline was used to guide the reporting of the study. PATIENT OR PUBLIC CONTRIBUTION: The call for participation from nursing academics across Australia provided an introductory statement about the project, its aim and scope, and the contact information of the principal researcher. A participant information sheet was shared with the call providing a detailed explanation of participation. Nursing academics across Australia participated in the survey through the link embedded in the participation invite.

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BACKGROUND: The COVID-19 pandemic has accelerated the use of digital health innovations, which has greatly impacted nursing practice. However, little is known about the use of digital health services by nurses and how this has changed during the pandemic. OBJECTIVE: This study explored the sociotechnical challenges that nurses encountered in using digital health services implemented during the pandemic and, accordingly, what digital health capabilities they expect from the emerging workforce. METHODS: Five groups of nurses, including chief nursing information officers, nurses, clinical educators, nurse representatives at digital health vendor companies, and nurse representatives in government bodies across Australia were interviewed. They were asked about their experience of digital health during the pandemic, their sociotechnical challenges, and their expectations of the digital health capabilities of emerging nurses to overcome these challenges. Interviews were deductively analyzed based on 8 sociotechnical themes, including technical challenges, nurse-technology interaction, clinical content management, training and human resources, communication and workflow, internal policies and guidelines, external factors, and effectiveness assessment of digital health for postpandemic use. RESULTS: Sixteen participants were interviewed. Human factors and clinical workflow challenges were highly mentioned. Nurses' lack of knowledge and involvement in digital health implementation and evaluation led to inefficient use of these technologies during the pandemic. They expected the emerging workforce to be digitally literate and actively engaged in digital health interventions beyond documentation, such as data analytics and decision-making. CONCLUSIONS: Nurses should be involved in digital health interventions to efficiently use these technologies and provide safe and quality care. Collaborative efforts among policy makers, vendors, and clinical and academic industries can leverage digital health capabilities in the nursing workforce.

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BACKGROUND: Patient-generated health data (PGHD) collected from innovative wearables are enabling health care to shift to outside clinical settings through remote patient monitoring (RPM) initiatives. However, PGHD are collected continuously under the patient's responsibility in rapidly changing circumstances during the patient's daily life. This poses risks to the quality of PGHD and, in turn, reduces their trustworthiness and fitness for use in clinical practice. OBJECTIVE: Using a sociotechnical health informatics lens, we developed a data quality management (DQM) guideline for PGHD captured from wearable devices used in RPM with the objective of investigating how DQM principles can be applied to ensure that PGHD can reliably inform clinical decision-making in RPM. METHODS: First, clinicians, health information specialists, and MedTech industry representatives with experience in RPM were interviewed to identify DQM challenges. Second, these stakeholder groups were joined by patient representatives in a workshop to co-design potential solutions to meet the expectations of all the stakeholders. Third, the findings, along with the literature and policy review results, were interpreted to construct a guideline. Finally, we validated the guideline through a Delphi survey of international health informatics and health information management experts. RESULTS: The guideline constructed in this study comprised 19 recommendations across 7 aspects of DQM. It explicitly addressed the needs of patients and clinicians but implied that there must be collaboration among all stakeholders to meet these needs. CONCLUSIONS: The increasing proliferation of PGHD from wearables in RPM requires a systematic approach to DQM so that these data can be reliably used in clinical care. The developed guideline is an important next step toward safe RPM.

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Exploring the contribution of health informatics is an emerging topic in relation to addressing climate change, but less examined is a body of literature reporting on the potential and effectiveness of women participating in climate action supported by digital health. This perspective explores how empowering women through digital health literacy (DHL) can support them to be active agents in addressing climate change risk and its impacts on health and well-being. We also consider the current definitional boundary of DHL, and how this may be shaped by other competencies (eg, environmental health literacy), to strengthen this critical agenda for developed nations and lower-resource settings.

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BACKGROUND: The COVID-19 pandemic has accelerated the uptake of digital health innovations due to the availability of various technologies and the urgent health care need for treatment and prevention. Although numerous studies have investigated digital health adoption and the associated challenges and strategies during the pandemic, there is a lack of evidence on the impact on the nursing workforce. OBJECTIVE: This study aims to identify the impact of digital health transformation driven by COVID-19 on nurses. METHODS: The online software Covidence was used to follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. Relevant scientific health and computing databases were searched for papers published from January 2020 to November 2021. Using the 8D sociotechnical approach for digital health in health care systems, the papers were analyzed to identify gaps in applying digital health in nursing practice. RESULTS: In total, 21 papers were selected for content analysis. The analysis identified a paucity of research that quantifies the impact of the digital health transformation on nurses during the pandemic. Most of the initiatives were teleconsultation, followed by tele-intensive care unit (tele-ICU), and only 1 (5%) study explored electronic medical record (EMR) systems. Among the sociotechnical elements, the human-related factor was the most explored and the system measurement was the least studied item. CONCLUSIONS: The review identified a significant gap in research on how implementing digital health solutions has impacted nurses during the COVID-19 pandemic. This gap needs to be addressed by further research to provide strategies for empowering the nursing workforce to be actively involved in digital health design, development, implementation, use, and evaluation.

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BACKGROUND: The ubiquity of health wearables and the consequent production of patient-generated health data (PGHD) are rapidly escalating. However, the utilization of PGHD in routine clinical practices is still low because of data quality issues. There is no agreed approach to PGHD quality assurance; therefore, realizing the promise of PGHD requires in-depth discussion among diverse stakeholders to identify the data quality assurance challenges they face and understand their needs for PGHD quality assurance. OBJECTIVE: This paper reports findings from a workshop aimed to explore stakeholders' data quality challenges, identify their needs and expectations, and offer practical solutions. METHODS: A qualitative multi-stakeholder workshop was conducted as a half-day event on the campus of an Australian University located in a major health care precinct, namely the Melbourne Parkville Precinct. The 18 participants had experience of PGHD use in clinical care, including people who identified as health care consumers, clinical care providers, wearables suppliers, and health information specialists. Data collection was done by facilitators capturing written notes of the proceedings as attendees engaged in participatory design activities in written and oral formats, using a range of whole-group and small-group interactive methods. The collected data were analyzed thematically, using deductive and inductive coding. RESULTS: The participants' discussions revealed a range of technical, behavioral, operational, and organizational challenges surrounding PGHD, from the time when data are collected by patients to the time data are used by health care providers for clinical decision making. PGHD stakeholders found consensus on training and engagement needs, continuous collaboration among stakeholders, and development of technical and policy standards to assure PGHD quality. CONCLUSIONS: Assuring PGHD quality is a complex process that requires the contribution of all PGHD stakeholders. The variety and depth of inputs in our workshop highlighted the importance of co-designing guidance for PGHD quality guidance.

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BACKGROUND: Patient-Generated Health Data (PGHD) in remote monitoring programs is a promising source of precise, personalized data, encouraged by expanding growth in the health technologies market. However, PGHD utilization in clinical settings is low. One of the critical challenges that impedes confident clinical use of PGHD is that these data are not managed according to any recognized approach for data quality assurance. OBJECTIVE: This article aims to identify the PGHD management and quality challenges that such an approach must address, as these are expressed by key PGHD stakeholder groups. MATERIALS AND METHODS: In-depth interviews were conducted with 20 experts who have experience in the use of PGHD in remote patient monitoring, including: healthcare providers, health information professionals within clinical settings, and commercial providers of remote monitoring solutions. Participants were asked to describe PGHD management processes in the remote monitoring programs in which they are involved, and to express their perspectives on PGHD quality challenges during the data management stages. RESULTS: The remote monitoring programs in the study did not follow clear PGHD management or quality assurance approach. Participants were not fully aware of all the considerations of PGHD quality. Digital health literacy, wearable accuracy, difficulty in data interpretation, and lack of PGHD integration with electronic medical record systems were among the key challenges identified that impact PGHD quality. CONCLUSION: Co-development of PGHD quality guidelines with relevant stakeholders, including patients, is needed to ensure that quality remote monitoring data from wearables is available for use in more precise and personalized patient care.

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To be considered fit for use in clinical care, health data should meet quality requirements, and data generated in remote patient monitoring settings are not exempt. Since patients take part of the responsibility in ensuring the quality of data during their flow from patient to the clinical setting, the quality management of these data is of great importance. This study aims to systematically review the literature to understand the current situation of quality management of patient generated data in remote patient monitoring particularly in use of wearable medical devices.

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BACKGROUND: By providing sports organizations with electronic records and instruments that can be accessed at any time or place, specialized care can be offered to athletes regardless of injury location, and this makes the follow-up from first aid through to full recovery more efficient. OBJECTIVES: The aim of this study was to develop an electronic personal health record for professional Iranian athletes. PATIENTS AND METHODS: First, a comparative study was carried out on the types of professional athletes'existing handheld and electronic health information management systems currently being used in Iran and leading countries in the field of sports medicine including; Australia, Canada and the United States. Then a checklist was developed containing a minimum dataset of professional athletes' personal health records and distributed to the people involved, who consisted of 50 specialists in sports medicine and health information management, using the Delphi method. Through the use of data obtained from this survey, a basic paper model of professional athletes' personal health record was constructed and then an electronic model was created accordingly. RESULTS: Access to information in the electronic record was through a web-based, portal system. The capabilities of this system included: access to information at any time and location, increased interaction between the medical team, comprehensive reporting and effective management of injuries, flexibility and interaction with financial, radiology and laboratory information systems. CONCLUSIONS: It is suggested that a framework should be created to promote athletes' medical knowledge and provide the education necessary to manage their information. This would lead to improved data quality and ultimately promote the health of community athletes.