scholarly journals Policy and Regulation in Digital Health

Author(s):  
Fazilah Shaik Allaudin

The dawn of the Fourth Industrial Revolution and the advances in telecommunicatio n are presenting multiple strategies and challenges ahead which includes policy and regulat ion, clinical evidence, safety and quality, medical ethics and clinical practice. However, these disruptions are also creating new opportunities to solve some of the biggest health-rela ted challenges facing the world today. The democratization of care and the great potential to health care offered by the digital revolution is the new paradigm embracing the delivery of care. The deployment of these new technologies and advances is progressing faster than regulator y framework can react. At the same time new technologies can deepen healthcare inequalities and unaffordability. Since 2018, efforts are underway by MOH to review and develop regulator y strategies and policies to foster digital health technologies, advocate translational research, spur innovations and boost the digital economy while at the same time, building an enabling ecosystem in Malaysia. New service models, technologies and innovations must be based on the principles of value-based, safety, quality, confidentiality, accountability and traceabilit y. The safe practice of digital health should keep the consumers of health care at the heart of the adoption.International Journal of Human and Health Sciences Supplementary Issue: 2019 Page: 23

Author(s):  
Noor Hisham Abdullah

As a nation currently facing a multitude of challenges, the digital health revolution is indeed timely. Globally, many are now seeking innovative solutions to address the shift ing demographics, increasing burden of chronic diseases, environmental changes, urbanisat ion, globalisation and technological advancements. These common challenges that we face affect health, one way or the other. Technology is disrupting conventional knowledge, practices and business models of many sectors, including healthcare. Services/technologies such as online platforms, mHealth, internet of things (IoT), wearable devices, machine learning, big data and artificial intelligence (AI) allow more efficient and effective healthcare service delivery. These disruptions are opportunities for us to solve some of the health-related challenges facing the world today. Malaysia is witnessing rapid growth of the digital marketplace with the mushrooming of Online Health Services facilitated and enabled by technology platforms. The term ‘Uberisation of Healthcare’ is widely used in this context. This democratisation of healthcare and the great potential to healthcare offered by the digital revolution is the new paradigm embracing the delivery of care. However, ethical and regulatory frameworks are necessary and must be guided by the principles of patient safety, quality of care, confidentialit y, accountability and traceability. The safe practice of digital health should keep the consumers of health care at the heart of the adoption.International Journal of Human and Health Sciences Supplementary Issue: 2019 Page: 10


2020 ◽  
Author(s):  
Margaret R. Andrews ◽  
Romualdo Ramos ◽  
Martina Ahlberg ◽  
Jan A. Hazelzet ◽  
Erik M. van Raaij ◽  
...  

AbstractBackgroundAlthough procurement of innovation is an established policy tool used to stimulate collaboration between supply- and demand-side entities during the development of new technologies, there is little scientific literature describing the process as applied in health care settings. Furthermore, what literature exists contains inconsistencies of terms, definitions, and/or concepts related to procurement of innovation. This protocol details our process for a systematic scoping review to describe the current scope of literature and to provide terminology clarification.MethodsA search strategy will be used to search PubMed, EMBASE [OVID], CINAHL [EBSCO], PsycINFO [ProQUEST], ABI/INFORM, ISI Web of Knowledge, EBSCO, JSTOR, the Cochrane Database of Systematic Reviews, and Google Scholar; grey literature, non-scientific reports, policy documents and expert recommendations will also be considered as additional sources for texts. Two researchers will screen titles and abstracts for inclusion/exclusion criteria, followed by full texts. We will extract the following data, if applicable: title, authors, date, author affiliations, country, journal/publication characteristics, setting, aims/purpose, methodology, sample characteristics, assessment/evaluation tools, outcome parameters, key findings, relevance, and terminology usage/definitions. Results will be presented narratively and visually.DiscussionThis paper describes the steps of our proposed systematic scoping review to identify and analyse scientific and non-scientific literature related to procurement of innovation and/or innovation of procurement in health care settings, with a particular focus on digital health technologies. Results are intended to demonstrate the current scope of literature, to provide clarity in language and therefore to serve as a first step for further research in this growing field.


Author(s):  
Ewa Suknarowska-Drzewiecka

The digital revolution, also called the fourth industrial revolution, constitutes another era of change, caused by the development of computerisation and modern technologies. It is characterised by rapid technological progress, widespread digitisation and an impact on all areas of life, including the provision of work. The changes affecting this area are so significant that there are proposals to remodel the definition of the employment relationship in the Labour Code. New forms of employment, which do not fit the conventional definition of an employment relationship, are emerging and gaining importance. An example could be employment via digital platforms. At the same time, there are also employment forms that do fit that definition, but deviate from the conventional understanding of the terms and conditions for performing work, which have undergone modification due to the use of new technologies. Teleworking, or working outside the employer’s premises, are examples of that. Employers get further opportunities to organise and control work, which often raises concerns due to the employee’s right to privacy, the protection of personal rights and personal data.


Author(s):  
Eric D. Perakslis ◽  
Martin Stanley ◽  
Erin Brodwin

Digital health has been touted as a true transformation of health care, but all medical interventions have associated risks that must be understood and quantified. The Internet has brought many advancements, which quickly jumped from our computers into our pockets via powerful and completely connected mobile devices that are now being envisioned as devices for medical diagnostics and care delivery. As health care struggles with cost, inequity, value, and rapid virtualization, solid models of benefit-risk determination, new regulatory approaches for biomedical products, and clear risk-based conversations with all stakeholders are essential. Detailed examination of emerging digital health technologies has revealed 10 categories of digital side effects or “toxicities” that must be understood, prevented when possible, and managed when not. These toxicities include cyberthreat, loss of privacy, cyberchondria and cyber addiction, threats to physical security, charlatanism, overdiagnosis and overtreatment, medical/user error, and the plague of medical misinformation. For digital health to realize its promise, these toxicities must be understood, measured, warned against, and managed as concurrent side effects, in the same fashion as any other medical side effect.


2018 ◽  
pp. 1-9 ◽  
Author(s):  
Shivank Garg ◽  
Noelle L. Williams ◽  
Andrew Ip ◽  
Adam P. Dicker

Digital health constitutes a merger of both software and hardware technology with health care delivery and management, and encompasses a number of domains, from wearable devices to artificial intelligence, each associated with widely disparate interaction and data collection models. In this review, we focus on the landscape of the current integration of digital health technology in cancer care by subdividing digital health technologies into the following sections: connected devices, digital patient information collection, telehealth, and digital assistants. In these sections, we give an overview of the potential clinical impact of such technologies as they pertain to key domains, including patient education, patient outcomes, quality of life, and health care value. We performed a search of PubMed ( www.ncbi.nlm.nih.gov/pubmed ) and www.ClinicalTrials.gov for numerous terms related to digital health technologies, including digital health, connected devices, smart devices, wearables, activity trackers, connected sensors, remote monitoring, electronic surveys, electronic patient-reported outcomes, telehealth, telemedicine, artificial intelligence, chatbot, and digital assistants. The terms health care and cancer were appended to the previously mentioned terms to filter results for cancer-specific applications. From these results, studies were included that exemplified use of the various domains of digital health technologies in oncologic care. Digital health encompasses the integration of a vast array of technologies with health care, each associated with varied methods of data collection and information flow. Integration of these technologies into clinical practice has seen applications throughout the spectrum of care, including cancer screening, on-treatment patient management, acute post-treatment follow-up, and survivorship. Implementation of these systems may serve to reduce costs and workflow inefficiencies, as well as to improve overall health care value, patient outcomes, and quality of life.


2005 ◽  
Vol 127 (09) ◽  
pp. 34-37
Author(s):  
Don W. Dareing ◽  
Thomas Thundat

This article reviews that the future belongs to machines built at molecular scales—if the tools to engineer them. Just as the steam engine sparked the industrial revolution of the 19th century, nanotechnology will likely ignite a new industrial revolution during the 21st century. Nanotechnology has the potential to impact all industries; the health care and computer industries are already capitalizing on it. New materials are being created that will affect everything from aerospace and energy to recreation and entertainment. Science is uncovering new technology almost daily, which will have a great impact on many aspects of society. These technologies are at various stages of development, but in the end, each spin-off product must withstand the test in the marketplace. The evaluation of each product will still be based on the same set of metrics as other products: performance, cost, risk or reliability, and availability. To satisfy these metrics, engineers will need analytical tools to make performance predictions, establish production costs and lifecycle economics, quantify the risk associated with new technologies, and satisfy a dynamic market.


2019 ◽  
Vol 26 (1) ◽  
pp. 102-111 ◽  
Author(s):  
Michael J Hasselberg

BACKGROUND: Technology is disrupting every modern industry, from supermarkets to car manufacturing, and is now entering the health care space. Technological innovations in psychiatry include the opportunity for conducting therapy via two-way video conferencing, providing electronic consultations, and telementoring and education of community health care providers. Use of mobile health applications is also an expanding area of interest and promise. OBJECTIVE: The purpose of this article is to review the evolution and pros and cons of technology-enabled health care since the digital movement in psychiatry began more than 50 years ago as well as describe the University of Rochester’s innovative digital behavioral health care model. METHODS: A review of the literature and recent reports on innovations in digital behavioral health care was conducted, along with a review of the University of Rochester’s model to describe the current state of digital behavioral health care. RESULTS: Given the lack of access to care and mental health professional shortages in many parts of the United States, particularly rural areas, digital behavioral health care will be an increasingly important strategy for managing mental health care needs. However, there are numerous hurdles to be overcome in adopting digital health care, including provider resistance and knowledge gaps, lack of reimbursement parity, restrictive credentialing and privileging, and overregulation at both the state and federal levels. CONCLUSIONS: Digital health innovations are transforming the delivery of mental health care services and psychiatric mental health nurses can be on the forefront of this important digital revolution.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Brian Kee Mun Wong ◽  
Sarah Alia Sa’aid Hazley

Purpose The technological advances in the Industrial Revolution (IR) 4.0 era escalate the advancement of the healthcare industry, including the health tourism phenomenon. Based on the current trend in connected health care (e.g. mobile healthcare technology; digital health, etc.), this paper aims to propose that the distance between healthcare providers around the globe and its potential patients can be vastly reduced to almost on a real time basis. Design/methodology/approach A secondary literature review is conducted to identify the key development of IR 4.0 technologies in the healthcare industry and its possible trend leading the health tourism sector. Findings The adoption of IR 4.0 technologies is expected to make seeking treatments overseas more affordable, accessible and health records readily available on a real-time and secured basis. However, it is worth to note that the growth of health tourism raises the eyebrows of society from the security, social and economic perspectives. Originality/value This paper contributes to our understanding that the emergence of IR 4.0 technologies changes the landscape of the health care and health tourism industry. Continuous technology advancement is expected to further shape the future trend and escalate the commercialization aspect of the health tourism industry.


2021 ◽  
Vol 9 ◽  
Author(s):  
Rashaad Bhyat ◽  
Simon Hagens ◽  
Katie Bryski ◽  
Jocelyn Fausto Kohlmaier

Digital health has massive potential in health care but has been slow to evolve in comparison to other information-intensive industries, which have more readily taken advantage of new technology. One of the key barriers has been the complex relationship between the perceived return on investment for the investor and the resulting value to patients and caregivers. Those actors who pay for technologies do not always see an appreciable return for themselves, while those actors who must apply the technology to generate value are not always incentivized to do so. This misalignment across health system payers and administrators, clinicians and patients must be better understood and addressed to help accelerate digital health. This paper will examine this challenge through the clinician experience, using empirical case examples from Canada to illustrate opportunities for change. While many factors may influence digital health adoption, this paper specifically aims to explore the shifts in the balance of the perceived value of implementing digital health tools, vs. the efforts required to adopt them. It will explore two contrasting case examples: clinical adoption of EMRs in Canada from 2009 to 2015, and clinical adoption of virtual care technologies during the COVID-19 pandemic from 2020 to 2021. In 2006, Canada lagged peer countries significantly in the adoption of electronic medical records (EMR) in community-based care. Financial support and cooperation of multiple levels of government and clinical stakeholders were required to address the misaligned incentives, which led to significant uptake by care providers. The rapid adoption of virtual care in Canada in response to the pandemic provides another relevant example of the importance of alignment among the factors of clinical workflows, clinical appropriateness, technology integration and payment models. Experts have highlighted the need for standardization, regulation, and clear policy to ensure sustainable, high quality virtual care that complements in-person care. In both cases, the costs and effort of adopting new technologies outweighed direct clinician value, requiring change initiatives to catalyze progress. This imbalance could be unique to these examples in Canada, and may not be globally generalizable to the adoption of all digital health tools. However, how change efforts can be tailored to adjust to a rapidly evolving health care workforce, spanning diverse jurisdictions and stakeholder groups will be critical to the sustainability of virtual care adoption. Furthermore, what key elements must be considered to guide change initiatives for successful implementation, designed to influence change while adding value for patients, clinicians and Canada's health care systems? Using insights from successful change initiatives past and present, this paper aims to answer these questions to enable a smoother transition to digital health innovations of the future.


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