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The traditional break–fix model of healthcare, characterised by reactive interventions after the onset of diseases, is undergoing a significant transformation globally, including in Australia. This is occurring at the same time that revolutionary technologies such as artificial intelligence and precision prevention of disease are emerging. This article explores the imperative to transition from our current break–fix model of health care towards a predict–prevent model, emphasising proactive healthcare strategies underpinned by technology. [ABSTRACT FROM AUTHOR]

Digital health technologies are a proposed solution to improve healthcare delivery and reduce pressures on the healthcare system, but these technologies are new to much of the health workforce. This perspective paper highlights lessons learned from the global experience of rapid digital transformation of health workforces, including fostering a culture of learning, ensuring accreditation and recognition, and adopting a transdisciplinary approach. Evidence-based actions are proposed to address recommendations to (i) ensure foundational workforce digital health capability and (2) build specialist digital health career pathways. Australia must take a national approach and strategically leverage strong collaborations across sectors including healthcare, education and government to ensure a consistent, regulated and sustainable digital workforce capability. [ABSTRACT FROM AUTHOR]

As health care continues to change and evolve in a digital society, there is an escalating need for physicians who are skilled and enabled to deliver care using digital health technologies, while remaining able to successfully broker the triadic relationship among patients, computers and themselves. The focus needs to remain firmly on how technology can be leveraged and used to support good medical practice and quality health care, particularly around resolution of longstanding challenges in health care delivery, including equitable access in rural and remote areas, closing the gap on health outcomes and experiences for First Nations peoples and better support in aged care and those living with chronic disease and disability. We propose a set of requisite digital health competencies and recommend that the acquisition and evaluation of these competencies become embedded in physician training curricula and continuing professional development programmes. [ABSTRACT FROM AUTHOR]

Keywords: Technology; Chronic disease; Prevention and control; Datasets as topic EN Technology Chronic disease Prevention and control Datasets as topic 384 388 5 05/17/23 20230515 NES 230515 Smartwatches can count every step towards a predict-prevent health care system, but clinical regulation is the first leap Australia is struggling with the ever-increasing burden of chronic disease. As health care professionals, we can further our understanding of smartwatch use in chronic disease through further research using real world data - with the ultimate goal of improving autonomy and health outcomes for consumers. [Extracted from the article]

Keywords: eHealth; Information management; Health financing; Health services research EN eHealth Information management Health financing Health services research 53 57 5 02/07/23 20230201 NES 230201 Focusing solely on financial measures is unlikely to deliver a comprehensive view of the value of digital health Digital health, which refers to the use of digital technology to provide and support health care services, promises to strengthen health systems worldwide and has been accelerated by the coronavirus disease 2019 (COVID-19) pandemic.[1] Amid the rapid digital transformation of health care,[[2]] the value of sizeable digital health investments remains unclear.[[3]] The investments required for digital health are often substantial and may come at a cost to existing health care delivery models. Conclusion Health care organisations are currently not measuring the true value of digital health implementations and, thus, digital investment may not be prioritised given the competing health care demands. With the burden on the health care system to continue service delivery with static resourcing, an ageing population and growing health inequities, digital health provides an unrivalled opportunity to improve care at scale. [Extracted from the article]

The article discusses the adoption of artificial intelligence (AI) in healthcare and the need for a thoughtful and inclusive approach to this data-driven revolution. The authors highlight the importance of amplifying the voices of people who receive healthcare and ensuring that they have control over their personal data. The article presents the findings of a citizens' jury, which recommended an independent national charter for AI in health and emphasized the importance of rigorous evaluation, fairness, patient rights, and community involvement. The authors conclude that while the advent of AI in healthcare is inevitable, it should be accompanied by robust governance and privacy measures, guided by the principle of "nothing about me without me." [Extracted from the article]

Digital disruption and transformation of health care is occurring rapidly. Concurrently, a global syndemic of preventable chronic disease is crippling healthcare systems and accelerating the effect of the COVID-19 pandemic. Healthcare investment is paradoxical; it prioritises disease treatment over prevention. This is an inefficient break--fix model versus a person-centred predict--prevent model. It is easy to reward and invest in acute health systems because activity is easily measured and therefore funded. Social, environmental and behavioural health determinants explain,70% of health variance; yet, we cannot measure these community data contemporaneously or at population scale. The dawn of digital health and the digital citizen can initiate a precision prevention era, where consumer-centred, real-time data enables a new ability to count and fund population health, making disease prevention 'matter'. Then, precision decision making, intervention and policy to target preventable chronic disease (e.g. obesity) can be realised. We argue for, identify barriers to, and propose three horizons for digital health transformation of population health towards precision prevention of chronic disease, demonstrating childhood obesity as a use case. Clinicians, researchers and policymakers can commence strategic planning and investment for precision prevention of chronic disease to advance a mature, valuebased model that will ensure healthcare sustainability in Australia and globally. [ABSTRACT FROM AUTHOR]

Successful implementation of digital health programs is imperative as it is becoming increasingly clear that digital solutions will underpin modern health care. These projects are often supported by large budgets and if not implemented successfully, the quality, safety, and efficiency of patient care may be compromised. Failure rates for the implementation of large, complex healthcare software platforms in digital health programs have been persistently high. Although several factors may contribute to the failure of such projects, the majority have been reported to fail largely due to poor project management. Nevertheless, little is known about the optimal project management approaches for digital health projects, with many health services reliant on external advisory companies and contractors for advice. Although publication bias makes it difficult to reliably study and understand global trends for the failure of digital health projects, examination of media reports and published literature indicates that this is a global phenomenon affecting digital health projects in North America, Europe and Australasia. In this article, our aim is to examine the literature for evidence underpinning current project management approaches used when implementing commercial, off-the-shelf healthcare information technology solutions, including complex healthcare software in large digital health programs in hospitals or across health systems, and evaluate the suitability of current project management approaches to deliver these projects. This starts to build an important evidence base for hospitals and health services considering digital transformation projects. [ABSTRACT FROM AUTHOR]

Digital transformation of Australian hospitals is occurring rapidly. Although the clinical community has had limited ability to influence high-level decision making and investments into digital health technologies, as these technologies increasingly transform the way patients are cared for, the clinical community must influence the digital health agenda and be an integral part of the decision-making process. This case study details the process and lessons learnt during the development of the state-wide consensus statement detailing the clinical requirements for digital health initiatives to form the Queensland Digital Health Clinical Charter. To the best of our knowledge, Queensland is the first Australian jurisdiction to create a Digital Clinical Charter to be specifically referenced in the investment in and governance of digital health in hospitals. By developing this clinical charter for digital health, and in articulating the needs of clinicians, a clinical framework will be added to both the decision-making process around the investments in digital health and the definition and realisation of the expected benefits from these sizable investments. What is known about the topic?: Digital transformation of healthcare is occurring rapidly. The clinical community has had limited ability to influence high-level decision making and investments into these digital health technologies. Tension currently exists between the clinical community who must use the new digital technologies and the technical groups that govern the introduction of the new technologies. This tension can be manifest as clinicians refusing to adopt new systems, safety concerns and an inability to reach consensus on direction. There are few peer reviewed publications addressing this tension between the clinical community and technical providers. What does this paper add?: This paper is the first attempt to create a list of clinical requirements for digital transformation that crosses professional streams and is endorsed by the state-wide executive leadership team to inform the acquisition and governance of digital health technologies. What are the implications for practitioners?: Clinicians can feel excluded and marginalised during the decision-making process for new digital technologies, despite the fact that they are often using these technologies to deliver hands-on care to patients. This charter clearly articulates the requirements of clinicians for digital transformation and has been endorsed by the executive leadership team of Queensland Health. The charter adds a clinical framework to be referenced during the decision-making process around the investments in digital health, and the definition and realisation of the expected benefits from these sizable investments. As the digital landscape in public hospitals evolves, clinicians are becoming increasingly reliant upon digital technologies. It is critical that clinicians have a strong effect on technology acquisition and governance to maximise the quality and efficiency of the care they provide. [ABSTRACT FROM AUTHOR]

Objective: This study investigated evidence for the approach known as 'benefits management' (BM) used in many digital hospital initiatives. Methods: A qualitative narrative overview was conducted on the BM literature and compared with a qualitative systematic overview of electronic medical record (EMR) implementation literature. Results: Twenty-five articles on BM and 12 literature reviews on EMR implementation were examined. The BM approach does not have strong support in the literature and does not support all the needs of large EMR implementations. Conclusion: The current BM approach provides an inadequate basis for managing and reporting on the outcomes that ensue from a digital hospital initiative. A shift is needed from benefits idealisation to value optimisation. What is known about the topic?: Health services are under increasing pressure to demonstrate that the benefits anticipated from digital health investments have been realised. What does this paper add?: This paper informs the practice of benefits governance in EMR implementations. The results reveal inadequacies in current BM models and practice that are currently enshrined in policy despite a lack of evidence. What are the implications for practitioners?: Health service leaders must be willing to question the governance of benefits from health service transformations using more evidence-based approaches to increase the value obtained from investments in digital transformation. [ABSTRACT FROM AUTHOR]

The Australian Commission for Safety and Quality in Health Care has created the National Safety and Quality Health Service standards that all hospitals must address in order to remain accredited. This case study details the first known digitisation of the 10 national quality and safety standards mandated in a quaternary integrated digital hospital. A team of clinical informaticians, information technology experts and clinicians was assembled. Data were chosen and the data were then extracted and validated and presented (often in near real time) in an easily consumable dashboard format with appropriate governance to allow clinicians and executives to monitor the quality and safety standards across the hospital. All 10 standards were defined and extracted contemporaneously from the digital hospital for every patient, every time. This is in stark contrast with traditional retrospective point prevalence surveys. This case study details the first known fully digital accreditation in a sophisticated integrated digital hospital. Digitisation of hospital quality and safety to produce real-time data is the future of clinical redesign to improve patient care. What is known about the topic?: Healthcare delivery is complex and the ability of healthcare providers to maintain consistent standards of quality and safety is variable. Traditionally, these standards have been assessed by intermittent retrospective point-prevalence survey activity. Sophisticated digital hospitals provide the opportunity to develop data and analytics that monitor quality and safety standards across every patient, every time in near real time. What does this paper add?: This paper describes a digital hospital which has created streaming analytics to monitor live performance of quality and safety standards. The necessary skills, leadership and governance for this process are outlined and the products described. What are the implications for practitioners?: Shifting from retrospective paper-based point prevalence surveys to a digital platform has several implications. Firstly, it is an imperative to drive digital transformation of Australian hospitals. Secondly, it provides data for intervention to the hospital staff, so that issues can be addressed and improved in real-time, rather than waiting for survey results. Lastly, this new model of maintaining quality and safety also requires the development of new skills in the hospital setting including data literacy, digital clinical governance and clinical informatics. [ABSTRACT FROM AUTHOR]

The digital transformation of hospitals in Australia is occurring rapidly in order to facilitate innovation and improve efficiency. Rapid transformation can cause temporary disruption of hospital workflows and staff as processes are adapted to the new digital workflows. The aim of this paper is to outline various types of digital disruption and some strategies for effective management.Alarge tertiary university hospital recently underwent a rapid, successful roll-out of an integrated electronic medical record (EMR). We observed this transformation and propose several digital disruption "syndromes" to assist with understanding and management during digital transformation: digital deceleration, digital transparency, digital hypervigilance, data discordance, digital churn and post-digital 'depression'. These 'syndromes' are defined and discussed in detail. Successful management of this temporary digital disruption is important to ensure a successful transition to a digital platform. [ABSTRACT FROM AUTHOR]

Background: Chronic diseases contribute to high rates of disability and mortality. Patient engagement in chronic disease self-management is an essential component of chronic disease models of health care. Wearables provide patient-centered health data in real time, which can help inform self-management decision-making. Despite the perceived benefits of wearables in improving chronic disease self-management, their influence on health care outcomes remains poorly understood.Objective: This review aimed to examine the influence of wearables on health care outcomes in individuals with chronic diseases through a systematic review of the literature.Methods: A narrative systematic review was conducted by searching 6 databases for randomized and observational studies published between January 1, 2016, and July 1, 2021, that included the use of a wearable intervention in a chronic disease group to assess its impact on a predefined outcome measure. These outcomes were defined as any influence on the patient or clinician experience, cost-effectiveness, or health care outcomes as a result of the wearable intervention. Data from the included studies were extracted based on 6 key themes, which formed the basis for a narrative qualitative synthesis. All outcomes were mapped against each component of the Quadruple Aim of health care. The guidelines of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement were followed in this study.Results: A total of 30 articles were included; studies reported 2446 participants (mean age: range 10.1-74.4 years), and the influence of 14 types of wearables on 18 chronic diseases was presented. The most studied chronic diseases were type 2 diabetes (4/30, 13%), Parkinson disease (3/30, 10%), and chronic lower back pain (3/30, 10%). The results were mixed when assessing the impact on a predefined primary outcome, with 50% (15/30) of studies finding a positive influence on the studied outcome and 50% (15/30) demonstrating a nil effect. There was a positive effect of 3D virtual reality systems on chronic pain in 7% (2/30) of studies that evaluated 2 distinct chronic pain syndromes. Mixed results were observed in influencing exercise capacity; weight; and biomarkers of disease, such as hemoglobin A1c, in diabetes. In total, 155 outcomes were studied. Most (139/155, 89.7%) addressed the health care outcomes component. This included pain (11/155, 7.5%), quality of life (7/155, 4.8%), and physical function (5/155, 3.4%). Approximately 7.7% (12/155) of outcome measures represented the patient experience component, with 1.3% (2/155) addressing the clinician experience and cost.Conclusions: Given their popularity and capability, wearables may play an integral role in chronic disease management. However, further research is required to generate a strong evidence base for safe and effective implementation.Trial Registration: PROSPERO International Prospective Register of Systematic Reviews CRD42021244562; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=244562. [ABSTRACT FROM AUTHOR]