Objective Vancomycin, a commonly used antimicrobial, has a narrow therapeutic index; therefore, Therapeutic Drug Monitoring (TDM) is required. Although the Electronic Medical Record (EMR) may improve patient care, without appropriate optimization, it can contribute to incorrectly drawn vancomycin levels. For medication administration, nurses utilize the Medication Administration Record (MAR) for medication

Objectives Acute kidney injury (AKI) is a sudden episode of kidney failure or damage and the risk of AKI is determined by the complex interactions of patient factors. In this study, we aimed to find out which risk factors in hospitalized patients are more likely to indicate severe AKI. Methods We constructed a retrospective cohort of adult patients from all inpatient units of a tertiary care academic

Objective To identify the types of adverse drug events (ADEs) that drug-drug interaction (DDI) alerts are trying to prevent in hospitalized patients. Methods This was a retrospective cross-sectional study conducted in a tertiary referral hospital in Australia. All DDI alerts encountered by prescribers during a 1-month period were evaluated for potential ADEs targeted for prevention. If the same DDI

Background With the recent advances in computational science, machine-learning methods have been increasingly used in medical research. Because such projects usually require both a clinician and a computational data scientist, there is a need for interdisciplinary research collaboration. However, there has been no published analysis of research collaboration networks in cardiovascular medicine using

Objective We aimed to identify machine learning (ML) models for type 2 diabetes (T2DM) prediction in community settings and determine their predictive performance. Method Systematic review of ML predictive modelling studies in 13 databases since 2009 was conducted. Primary outcomes included metrics of discrimination, calibration, and classification. Secondary outcomes included important variables,

Background Social media have emerged as a platform for experience and knowledge sharing in the medical community. The online medical community is garnering increasing research attention; however, there is a lack of understanding of what factors influence the helpfulness and engagement of experience sharing in the community. Methods Clinical documents manifest physicians’ experience and knowledge. This

Background Inpatient falls, many resulting in injury or death, are a serious problem in hospital settings. Existing falls risk assessment tools, such as the Morse Fall Scale, give a risk score based on a set of factors, but don’t necessarily signal which factors are most important for predicting falls. Artificial intelligence (AI) methods provide an opportunity to improve predictive performance while

Background Electronic health records (EHRs) are transforming and revolutionizing the healthcare industry. However, whereas developed countries have a high EHR penetration rate, adoption of EHRs in developing countries is lagging behind. Recently, the Korean and Russian governments have been pursuing economic cooperation in the Russian Far East. Thus, since 2009, Russia’s EHR market and healthcare system

Background Electronic approaches are becoming more widely used to obtain informed consent for research participation. Electronic consent (e-consent) provides an accessible and versatile approach to the consenting process, which can be enhanced with audio-visual and interactive features to improve participant engagement and comprehension of study procedures. Best practice guidance underpinned by ethical

Background The negative impact of unnecessary diagnostic tests on healthcare systems and patients has been widely recognized. Medical researchers in various countries have been devoting effort to reduce unnecessary diagnostic tests by using different types of interventions, including information and communications technology-based (ICT-based) intervention, educational intervention, audit and feedback

Objective The International Medical Informatics Association (IMIA) has provided recommendations on Education in Biomedical and Health Informatics (BMHI) as guidance on competencies relevant to education of BMHI specialists. However, it remains unclear how well these competencies have been adopted to guide emerging degree programs in low- and middle-income countries (LMICs). We evaluated comprehensiveness

Aims Healthcare organizations are increasingly using technology to assist in diabetes management based on telemedicine’s proven ability to improve glycemic regulation, decrease cost, and overcome barriers to effective healthcare. Nevertheless, it remains unclear how telemedicine intersects with primary care. We aim to measure the impact of a remote monitoring program for diabetes on primary care delivery

Background Despite digital health providing opportunities to enhance the quality, efficiency and safety of primary healthcare, the adoption of digital tools and technologies has been slow, partly because of poor digital health literacy. For primary healthcare systems to take full advantage of these technologies, a capable, digitally literate workforce is necessary. Still, the essential digital health

Objective The Coronavirus Disease 2019 (COVID-19) has currently ravaged through the world, resulting in over thirteen million confirmed cases and over five hundred thousand deaths, a complete change in daily life as we know it, worldwide lockdowns, travel restrictions, as well as heightened hygiene measures and physical distancing. Being able to analyse and predict the spread of this epidemic-causing

Background The lack of interoperable IT systems between residential aged care facilities (RACF) and general practitioners (GP) in primary care settings in Australia introduces the potential for medication discrepancies and other medication errors. The aim of the GRACEMED study is to determine the extent and potential severity of medication discrepancies between general practice and RACFs, and identify

Purpose Genomic analysis of individual patients is now affordable, and therapies targeting specific molecular aberrations are being tested in clinical trials. Genomically-informed therapy is relevant to many clinical domains, but is particularly applicable to cancer treatment. However, even specialized clinicians need help to interpret genomic data, to navigate the complicated space of clinical trials

Objectives This study aimed to identify, describe and analyze priority areas for COVID-19 testing combining participatory surveillance and traditional surveillance. Design It was carried out a descriptive transversal study in the city of Caruaru, Pernambuco state, Brazil, within the period of 20/02/2020 to 05/05/2020. Data included all official reports for influenza-like illness notified by the municipality

Objective Although lower respiratory infections (LRI) are among the leading causes of mortality in the United States, their association with underlying factors and geographic variation have not been adequately examined. Methods In this study, explanatory variables (n = 46) including climatic, topographic, socio-economic, and demographic factors were compiled at the county level across the continental

Objective This review aimed to examine how mobile health (mHealth) to support integrated people-centred health services has been implemented and evaluated in the World Health Organization (WHO) Western Pacific Region (WPR). Methods Eight scientific databases were searched. Two independent reviewers screened the literature in title and abstract stages, followed by full-text appraisal, data extraction

Background and purpose Health information systems (HIS) are expected to be effective and efficient in improving healthcare services, but empirical observation of HIS reveals that most perform poorly in terms of these metrics. Theoretical factors of HIS performance are widely studied, and solutions to mitigate poor performance have been proposed. In this paper we implement effective methods to eliminate

Background Multi-drug resistant (MDR) bacteria are a major health concern. In this retrospective study, a rule-based classification algorithm, MOCA-I (Multi-Objective Classification Algorithm for Imbalanced data) is used to identify hospitalized patients at risk of testing positive for multidrug-resistant (MDR) bacteria, including Methicillin-resistant Staphylococcus aureus (MRSA), before or during

Background The rapid global spread of the SARS-CoV-2 virus has provoked a spike in demand for hospital care. Hospital systems across the world have been over-extended, including in Northern Italy, Ecuador, and New York City, and many other systems face similar challenges. As a result, decisions on how to best allocate very limited medical resources and design targeted policies for vulnerable subgroups

Background The application of blockchain technology is being explored to improve the interoperability of patient health information between healthcare organisations while maintaining the privacy and security of data. Objectives The objective of this scoping review is to explore and categorise the benefits and threats of blockchain technology application in a healthcare system. Methods Databases such

Background One key technology that has a significant implication on how nurses communicate and share information is the mobile phone, particularly the smartphone. However, its use for clinical work should be regulated by policies to minimize risks and maximize benefits. Objective To present policy recommendations on nurses’ use of smartphones that are applicable in the context of clinical work in the

Background and objectives The ability of health care providers and students to use EMRs efficiently can lead to achieving improved clinical outcomes. Training policies and strategies play a major role in successful technology implementation and ongoing use of the EMR systems. To provide evidence-based guidance for developing and implementing educational interventions and training, we reviewed and summarized

Objective Evaluating Health Information Technologies (HITs) can be challenging, but studies are necessary so that the most beneficial interventions can be identified. Our objective was to systematically review the available recommendations for improving the methods used in HIT evaluations. Methods HIT evaluation frameworks were identified from database (MEDLINE, EMBASE, CINAHL) and grey literature

Background Lesbian, gay, bisexual, transgender, and queer (LGBTQ) populations have an increased risk of multiple adverse health outcomes. Capturing patient data on sexual orientation and gender identity (SOGI) in the electronic health record (EHR) can enable healthcare organizations to identify inequities in the provision of preventive health screenings and other quality of care services to their LGBTQ

Background Building on initial work carried out by the Faculty of Clinical Informatics (FCI) in the UK, the creation of a national competency framework for Clinical Informatics is required for the definition of clinical informaticians’ professional attributes and skills. We aimed to systematically review the academic literature relating to competencies, skills and existing course curricula in the clinical

Background and objective Anxiety is a common emotion that people often feel in certain situations. But when the feeling of anxiety is persistent and interferes with a person's day to day life then this may likely be an anxiety disorder. Anxiety disorders are a common issue worldwide and can fall under general anxiety, panic attacks, and social anxiety among others. They can be disabling and can impact

Objectives Home care nursing requires high quality documentation to facilitate communication between health providers. Despite the awareness surrounding the importance of documentation, the home care nursing environment lends itself to incomplete and inaccurate documentation. Our study aims to develop a hierarchical standardized home care nursing statement (S-HCNS) structure that can increase documentation

Objective Emerging technologies such as social robots have shown to be effective in reducing loneliness and agitation for older people with dementia. However, the acceptance of technology (specifically social robots) was found to be low for older people with dementia. The current understanding of changes in technology acceptance following direct exposure is limited and lacks rigorous study design.

Background Information technologies have been vital during the COVID-19 pandemic. Telehealth and telemedicine services, especially, fulfilled their promise by allowing patients to receive advice and care at a distance, making it safer for all concerned. Over the preceding years, professional societies, governments, and scholars examined ethical, legal, and social issues (ELSI) related to telemedicine

Background About ten years ago, an age-related digital divide was identified, where ‘the elderly’ denoted a group of people at risk of losing the benefits of a digital society. The aims of this work are to find a relationship between self-assessed health and internet use by older people in European countries and to ascertain whether this relationship differs in countries with a more developed eHealth

Background and Objectives Antimicrobial stewardship (AMS) programs aim to optimize antibiotic use and reduce inappropriate prescriptions through a panel of interventions. The implementation of clinical guidelines is a core strategy of AMS programs. Nevertheless, their dissemination and application remain low. Computerised decision support systems (CDSSs) offer new opportunities for semi-automated dissemination

Background and goal of study The scope of health in the Sustainable Development Goals is much broader than the Millennium Development Goals, spanning functions such as health-system access and quality of care. Hospital readmission rate and ED-visits within 30 days from discharge are considered low-cost quality indicators. This work assesses an indicator of quality of care in a tertiary referral hospital

Background Despite attempts to reform the healthcare delivery system in the Middle East, expectations for its progress have been—and for some still are—somewhat slow. Objective This study reviewed progress in the use and adoption of telemedicine in Middle Eastern countries. The key dimensions affecting the progress of telemedicine in these countries were identified. Method A systematic review of the

Background With the introduction of privacy regulations such as the California Consumer Privacy Act and the European Union General Data Protection Regulation (GDPR), effective data protection in mobile health (mHealth) is rapidly becoming a concern. However, we have a limited understanding of the contexts and mechanisms that affect the likelihood of failures and successes in mHealth data protection

Wikipedia contains rich biomedical information that can support medical informatics studies and applications. Identifying the subset of medical articles of Wikipedia has many benefits, such as facilitating medical knowledge extraction, serving as a corpus for language modeling, or simply making the size of data easy to work with. However, due to the extremely low prevalence of medical articles in the

Introduction Information and Communication Technologies (ICTs) are acknowledged as vital tools to strengthen Primary Health Care (PHC) in low- and middle-income countries (LMICs). However, these technologies have been used only for selected services. Moreover, there is limited evidence on how effective these interventions are in improving comprehensive primary health care in LMICs. Therefore, we developed

Accessing and receiving quality healthcare in an unfamiliar health system is a significant challenge for many new immigrants and refugees. This study aims to provide a three-phase model to develop a web-based health information website that helps populations with limited English proficiency (LEP) increase health literacy and improve healthcare service access. Method: First, we conducted a needs assessment

Background There is growing emphasis on the role of digital solutions in supporting chronic disease management. This has the potential to increase the burden patients experience in managing their health by offloading care from the health system to patients. This paper explores the effects of virtual visits on patient burden using an explicit framework measuring both the work patients do to care for

The planning of hospital beds is among the most debated problems in healthcare. Despite being an important issue, many initiatives have failed to sustain services improvements, resulting in high costs and also high refusal rates. The stochastic problem involves conflicting criteria, therefore, we propose a Simulation-Optimisation approach to solve it. The Evolutionary Algorithm NSGA-II drives the process

Background and objective The workings of medical educational tools are implemented using a myriad of approaches ranging from presenting static content to immersing students in gamified virtual-reality environments. The objective of this paper is to explore whether and how different approaches for designing medical educational tools affect students’ learning performance. Materials and methods Four versions

Objective Pre-hospital emergency medical services use clinical decision support systems (CDSS) to triage calls. Call handlers often supplement this by making free text notes covering key incident information. We investigate whether machine learning approaches using features from such free text notes can improve prediction of unconscious patients who require conveyance. Materials and methods We analysed

Objectives This study used ecological momentary assessment (EMA) to understand how the contextual factors of everyday life affect physical activity in terms of steps measured by wearable activity tracking devices and to identify what factors increase physical activity. In addition, this study investigated and analyzed the user environment and resulting contextual factors in a typical office setting

Background Individualised Action Plans (APs) are a key management tool for paediatric asthma, allergy, anaphylaxis and eczema. They provide salient care instructions for patients and caregivers and are thought to improve disease outcomes, albeit with minimal supporting evidence. Whilst the provision of an AP has become a widely measured healthcare quality marker, the content of the plans provided has

Objective To evaluate the implementation of a novel electronic medical record (EMR) system for management of non-communicable diseases (NCD) (hypertension (HTN) and diabetes mellitus (DM)) in health facilities in informal settlements in Nairobi. Questions of interest were on the use of, perception of the HCWs, and scalability and sustainability of the EMR system. Method The study utilised a descriptive

Electronic cigarettes (e-cigarettes) usage has surged substantially across the globe, particularly among adolescents and young adults. The ever-increasing prevalence of social media makes it highly convenient to access and engage with content on numerous substances, including e-cigarettes. A comprehensive dataset of 560,414 image posts with a mention of #vaping (shared from 1 June 2019 to 31 October

This paper augments the technology acceptance model (TAM) by empirically investigating the influence of behavioral traits (privacy concerns and trust) and cognitive beliefs (perceived usefulness and perceived ease of use) on patients’ behavioral intention to accept technology in healthcare service delivery. Despite increased emphasis on healthcare service delivery, there has been limited studies as

Background Recurrent venous thromboembolism (RVTE) is a multifactorial disease with occurrence rates which vary from 13 % to 25 % in 5 years after the initial event. Once a patient the first thrombotic event, the probability of recurrence should be determined, as well as the most adequate anticoagulant therapy. To our knowledge based on the published literature, three statistical models have been proposed

Background The effectiveness of online health communities (OHCs) for improving outcomes for health care consumers, health professionals, and health services has already been well investigated. However, research on determinants of OHC users’ activity levels, what is associated with attrition or attraction to these communities, and the impacts of initial posts is limited. Objectives We sought to explore

Background We developed and evaluated a prognostic prediction model that estimates osteoarthritis risk for use by patients and practitioners that is designed to be appropriate for integration into primary care health information technology systems. Osteoarthritis, a joint disorder characterized by pain and stiffness, causes significant morbidity among older Canadians. Because our prognostic prediction

Background Electronic Health Records (EHR) are the foundation of much medical research. However, analyzing the text data of EHRs directly is an challenging task. Therefore, physicians often use questionnaires to first convert text data to structured data. Filling in these questionnaires requires a considerable amount of time and medical knowledge. It is a significant task to develop an algorithm to

Objectives To develop and evaluate a serious game to deliver knowledge about the cleft lip with or without cleft palate (CL/P) protocol used in Craniofacial Center, Chiang Mai University. Methods The game “Cleft Island” was developed then extensively evaluated using different criteria, including the measured knowledge gained by participants, and gameplay experience. A group of 53 fourth and fifth-year

Background Tuberculosis is the leading cause of infectious disease-related death, surpassing even the immunodeficiency virus. Treatment loss to follow up and irregular medication use contribute to persistent morbidity and mortality. This increases bacillus drug resistance and has a negative impact on disease control. Objective This study aims to develop a computational model that predicts the loss

Objective Adoption of electronic medical records (EMRs) does not necessarily translate to proficiency –referred to here as EMR maturity. To realize the full benefit of wide scale EMR adoption, the focus must shift from adoption to advancing mature use. This calls for validated assessment models so that researchers, health system planners and digital health developers can better understand what contributes

Objective The main objective of this paper is the reduction of the COVID-19 pandemic spread by increasing the degree of social distancing by using and upgrading the existing Medical Information System (MIS). Material and methods The existing MIS MEDIS.NET, currently used in the largest health center in the Balkans, has been adapted and further developed. Results During the adaptation of existing MIS