BACKGROUND: Low- and lower-middle-income countries account for a higher percentage of global epidemics and chronic diseases. In most low- and lower-middle-income countries, there is limited access to health care. The implementation of open-source electronic health records (EHRs) can be understood as a powerful enabler for low- and lower-middle-income countries because it can transform the way health care technology is delivered. Open-source EHRs can enhance health care delivery in low- and lower-middle-income countries by improving the collection, management, and analysis of health data needed to inform health care delivery, policy, and planning. While open-source EHR systems are cost-effective and adaptable, they have not proliferated rapidly in low- and lower-middle-income countries. Implementation barriers slow adoption, with existing research focusing predominantly on technical issues preventing successful implementation.
OBJECTIVE: This interdisciplinary scoping review aims to provide an overview of contextual barriers affecting the adaptation and implementation of open-source EHR systems in low- and lower-middle-income countries and to identify areas for future research.
METHODS: We conducted a scoping literature review following a systematic methodological framework. A total of 7 databases were selected from 3 disciplines: medicine and health sciences, computing, and social sciences. The findings were reported in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist. The Mixed Methods Appraisal Tool and the Critical Appraisal Skills Programme checklists were used to assess the quality of relevant studies. Data were collated and summarized, and results were reported qualitatively, adopting a narrative synthesis approach.
RESULTS: This review included 13 studies that examined open-source EHRs\' adaptation and implementation in low- and lower-middle-income countries from 3 interrelated perspectives: socioenvironmental, technological, and organizational barriers. The studies identified key issues such as limited funding, sustainability, organizational and management challenges, infrastructure, data privacy and protection, and ownership. Data protection, confidentiality, ownership, and ethics emerged as important issues, often overshadowed by technical processes.
CONCLUSIONS: While open-source EHRs have the potential to enhance health care delivery in low- and lower-middle-income-country settings, implementation is fraught with difficulty. This scoping review shows that depending on the adopted perspective to implementation, different implementation barriers come into view. A dominant focus on technology distracts from socioenvironmental and organizational barriers impacting the proliferation of open-source EHRs. The role of local implementing organizations in addressing implementation barriers in low- and lower-middle-income countries remains unclear. A holistic understanding of implementers\' experiences of implementation processes is needed. This could help characterize and solve implementation problems, including those related to ethics and the management of data protection. Nevertheless, this scoping review provides a meaningful contribution to the global health informatics discipline.

Deep learning advanced to one of the most important technologies in almost all medical fields. Especially in areas, related to medical imaging it plays a big role. However, in interventional radiotherapy (brachytherapy) deep learning is still in an early phase. In this review, first, we investigated and scrutinised the role of deep learning in all processes of interventional radiotherapy and directly related fields. Additionally, we summarised the most recent developments. For better understanding, we provide explanations of key terms and approaches to solving common deep learning problems. To reproduce results of deep learning algorithms both source code and training data must be available. Therefore, a second focus of this work is on the analysis of the availability of open source, open data and open models. In our analysis, we were able to show that deep learning plays already a major role in some areas of interventional radiotherapy, but is still hardly present in others. Nevertheless, its impact is increasing with the years, partly self-propelled but also influenced by closely related fields. Open source, data and models are growing in number but are still scarce and unevenly distributed among different research groups. The reluctance in publishing code, data and models limits reproducibility and restricts evaluation to mono-institutional datasets. The conclusion of our analysis is that deep learning can positively change the workflow of interventional radiotherapy but there is still room for improvements when it comes to reproducible results and standardised evaluation methods.

BACKGROUND: The EU promotes \'Open Science\' as a public good. Complementary to its implementation is Citizen Science, which redefines the relationship between the scientific community, civic society and the individual. Open Science and Citizen Science poses challenges for the substance use and addictions research community but may provide positive opportunities for future European addiction research. This paper explores both current barriers and potential facilitators for the implementation of Open Science and Citizen Science in substance use and addictions research.
METHODS: A scoping review was used to examine barriers and facilitators identified in the substance use and addiction research literature for the adoption of Open Science and Citizen Science.
RESULTS: \'Technical\' facilitators included the pre-registration of study protocols; publication of open-source datasets; open peer review and online tools. \'Motivational\' facilitators included enhanced reputation; embracing co-creation; engaged citizenship and gamification. \'Economic\' facilitators included the use of free tools and balanced remuneration of crowdworkers. \'Political\' facilitators included better informed debates through the \'triple helix\' approach and trust-generating transparency. \'Legal\' facilitators included epidemiologically informed law enforcement; better policy surveillance and the validation of other datasets. \'Ethical\' facilitators included the \'democratisation of science\' and opportunities to explore new concepts of ethics in addiction research.
CONCLUSIONS: Open Science and Citizen Science in substance use and addictions research may provide a range of benefits in relation to the democratisation of science; transparency; efficiency and the reliability/validity of data. However, its implementation raises a range of research integrity and ethical issues that need be considered. These include issues related to participant recruitment; privacy; confidentiality; security; cost and industry involvement. Progressive journal policies to support Open Science practices; a shift in researcher norms; the use of free tools and the greater availability of methodological and ethical standards are likely to increase adoption in the field.

BACKGROUND: This study investigates the use of do-it-yourself artificial pancreas systems (DIYAPS) in the UK, and whether self-reported outcomes associated with them are affected by the demographics of the user.
METHODS: An online survey was conducted to assess user demographic data and self-reported time-in-range (TIR) outcomes. Statistical analysis was undertaken to review the results and check whether there were major differences in change in TIR across age, gender and duration of diabetes.
RESULTS: Of 253 valid responses to the survey across a wide age range of users, 74.4% related to adult users and 25.6% related to under-16s. The majority (65.6%) used AndroidAPS, but there was greater use of Loop (43.1%) amongst under-16s than amongst adults (25.9%). Correspondingly, more under-16s (40.0%) than adults (24.3%) used Omnipod Eros. A 17.3% (± 13.7%) increase in time in range was reported across all participants, with no significant differences observed between age groups, genders or diabetes duration groups (p > 0.05).
CONCLUSIONS: The results show that these systems are being used by both genders, and that users cover a wide range of ages and diabetes durations. They also show that improvements in self-reported DIYAPS healthcare outcomes may not be specific to any particular age, gender or duration of diabetes, and the results may provide additional insights into the applicability of the algorithms by demographic. This study may also inform healthcare professionals about the use and effectiveness of DIYAPS solutions.

Both the free and open source software (FOSS) as well as the distributed digital manufacturing of free and open source hardware (FOSH) has shown particular promise among scientists for developing custom scientific tools. Early research found substantial economic savings for these technologies, but as the open source design paradigm has grown by orders of magnitude it is possible that the savings observed in the early work was isolated to special cases. Today there are examples of open source technology for science in the vast majority of disciplines and several resources dedicated specifically to publishing them. Do the tremendous economic savings observed earlier hold today? To answer that question, this study evaluates free and open source technologies in the two repositories compared to proprietary functionally-equivalent tools as a function of their use of Arduino-based electronics, RepRap-class 3-D printing, as well as the combination of the two. The results of the review find overwhelming evidence for a wide range of scientific tools, that open source technologies provide economic savings of 87% compared to equivalent or lesser proprietary tools. These economic savings increased slightly to 89% for those that used Arduino technology and even more to 92% for those that used RepRap-class 3-D printing. Combining both Arduino and 3-D printing the savings averaged 94% for free and open source tools over commercial equivalents. The results provide strong evidence for financial support of open source hardware and software development for the sciences. Given the overwhelming economic advantages of free and open source technologies, it appears financially responsible to divert funding of proprietary scientific tools and their development in favor of FOSH. Policies were outlined that provide nations with a template for strategically harvesting the opportunities provided by the free and open source paradigm.

Coronavirus Disease 2019 (COVID-19) threatens to overwhelm our medical infrastructure at the regional level causing spikes in mortality rates because of shortages of critical equipment, like ventilators. Fortunately, with the recent development and widespread deployment of small-scale manufacturing technologies like RepRap-class 3-D printers and open source microcontrollers, mass distributed manufacturing of ventilators has the potential to overcome medical supply shortages. In this study, after providing a background on ventilators, the academic literature is reviewed to find the existing and already openly-published, vetted designs for ventilators systems. These articles are analyzed to determine if the designs are open source both in spirit (license) as well as practical details (e.g. possessing accessible design source files, bill of materials, assembly instructions, wiring diagrams, firmware and software as well as operation and calibration instructions). Next, the existing Internet and gray literature are reviewed for open source ventilator projects and designs. The results of this review found that the tested and peer-reviewed systems lacked complete documentation and the open systems that were documented were either at the very early stages of design (sometimes without even a prototype) and were essentially only basically tested (if at all). With the considerably larger motivation of an ongoing pandemic, it is assumed these projects will garner greater attention and resources to make significant progress to reach a functional and easily-replicated system. There is a large amount of future work needed to move open source ventilators up to the level considered scientific-grade equipment, and even further work needed to reach medical-grade hardware. Future work is needed to achieve the potential of this approach by developing policies, updating regulations, and securing funding mechanisms for the development and testing of open source ventilators for both the current COVID19 pandemic as well as for future pandemics and for everyday use in low-resource settings.

Computed tomography (CT) has been widely applied in medical diagnosis, nondestructive evaluation, homeland security, and other science and engineering applications. Image reconstruction is one of the core CT imaging technologies. In this review paper, we systematically reviewed the currently publicly available CT image reconstruction open source toolkits in the aspects of their environments, object models, imaging geometries, and algorithms. In addition to analytic and iterative algorithms, deep learning reconstruction networks and open codes are also reviewed as the third category of reconstruction algorithms. This systematic summary of the publicly available software platforms will help facilitate CT research and development.

BACKGROUND: Due to the many advantages of open source software (OSS), including reduced cost of licensing, more flexibility in terms of customisation and redistribution, better quality and no vendor lock-in, OSS in healthcare is increasingly gaining importance. Various open source health information technologies (OS-HITs) are continuously being designed and developed for different areas of healthcare to increase organisational efficiencies and quality of care at minimum costs. The objective of this scoping review is to identify the kinds of existing OS-HITs, their characteristics (e.g. functions) and capabilities (e.g. advantages/disadvantages) for various healthcare stakeholders (physicians and patients) and healthcare sectors (e.g. clinical, administrative).
METHODS: We will conduct a scoping review to identify the range of available OS-HITs in international literature from 1980 to September 2018. Searches will be conducted in six major international databases, namely: Cumulative Index to Nursing and Allied Health Literature Plus, Excerpta Medica Database, Global Health, Library Information Science and Technology Abstracts, Medline and Web of Science to identify relevant published research. We will also search the Google search engine and Google Scholar for on-going and unpublished work and the grey literature. Searches will be peer-reviewed by two independent reviewers and will not be limited by methodology or language. Next, selected references will be tabulated for study characteristics by author affiliation, country of origin, the name of OS-HIT, healthcare area/sector, system requirements, stakeholders, complete solution and web link. Furthermore, functions, benefits/advantages, disadvantages and outcomes (e.g. usability) of OS-HITs will be extracted. Narrative and interpretative synthesis of data will be undertaken.
RESULTS: We will report our findings in a peer-reviewed journal.

Academics have a duty towards peers and scholars alike to engage in research work and to publish their findings. This also assists in establishing personal academic success as well as the attainment of research grants. In the past, authors used to publish their research articles for free but access to these articles was restricted to subscription users only. Recently, open access publishing has gained momentum, whereby such articles are made freely accessible online. However open access publishing comes with a price tag for the author through article processing charges. Open access may also question a journal\'s credibility within the academic world if improperly implemented. This is particularly so following the unsolicited bombardment of researchers\' email accounts with invitations for submissions to predatory open access journals. For these reasons, authors needs to rigorously weigh the pros and cons of whether to choose a subscription based or an open access journal for publication.

BACKGROUND: Despite the great impact of information and communication technologies on clinical practice and on the quality of health services, this trend has been almost exclusive to developed countries, whereas countries with poor resources suffer from many economic and social issues that have hindered the real benefits of electronic health (eHealth) tools. As a component of eHealth systems, electronic health records (EHRs) play a fundamental role in patient management and effective medical care services. Thus, the adoption of EHRs in regions with a lack of infrastructure, untrained staff, and ill-equipped health care providers is an important task. However, the main barrier to adopting EHR software in low- and middle-income countries is the cost of its purchase and maintenance, which highlights the open-source approach as a good solution for these underserved areas.
OBJECTIVE: The aim of this study was to conduct a systematic review of open-source EHR systems based on the requirements and limitations of low-resource settings.
METHODS: First, we reviewed existing literature on the comparison of available open-source solutions. In close collaboration with the University of Gondar Hospital, Ethiopia, we identified common limitations in poor resource environments and also the main requirements that EHRs should support. Then, we extensively evaluated the current open-source EHR solutions, discussing their strengths and weaknesses, and their appropriateness to fulfill a predefined set of features relevant for low-resource settings.
RESULTS: The evaluation methodology allowed assessment of several key aspects of available solutions that are as follows: (1) integrated applications, (2) configurable reports, (3) custom reports, (4) custom forms, (5) interoperability, (6) coding systems, (7) authentication methods, (8) patient portal, (9) access control model, (10) cryptographic features, (11) flexible data model, (12) offline support, (13) native client, (14) Web client,(15) other clients, (16) code-based language, (17) development activity, (18) modularity, (19) user interface, (20) community support, and (21) customization. The quality of each feature is discussed for each of the evaluated solutions and a final comparison is presented.
CONCLUSIONS: There is a clear demand for open-source, reliable, and flexible EHR systems in low-resource settings. In this study, we have evaluated and compared five open-source EHR systems following a multidimensional methodology that can provide informed recommendations to other implementers, developers, and health care professionals. We hope that the results of this comparison can guide decision making when needing to adopt, install, and maintain an open-source EHR solution in low-resource settings.