Purpose Long-distance caregiving (LDC) technologies play a significant role in enabling distant care and facilitating living-alone older adults to keep socially connected. However, there is scarce research exploring the older adults’ attitudes towards and intention to use such technologies. This paper is based on a systematic review of existing literature to explore the multifarious factors influencing

Background An integrated kidney disease company uses machine learning (ML) models that predict the 12-month risk of an outpatient hemodialysis (HD) patient having multiple hospitalizations to assist with directing personalized interdisciplinary interventions in a Dialysis Hospitalization Reduction Program (DHRP). We investigated the impact of risk directed interventions in the DHRP on clinic-wide hospitalization

Objective The widespread and frequent use of mobile technology among adolescents, including sexual minority adolescents, presents an opportunity for the development of mobile health (mHealth) technology to combat the continuing HIV epidemic among young men who have sex with men (YMSM). We analyzed perceptions of the quality and impact of an HIV prevention mobile app for sexual risk reduction and protection

Background Standardized clinical terminologies are increasingly used to design and support advanced information systems. In order to examine the representativeness of these terminologies for different professional groups or clinical areas, researchers may perform different methods of terminology mapping. Objective The purpose of this study was to evaluate the ability of four mapping methods to identify

Objectives Prior to COVID-19, levels of adoption of telehealth were low in the U.S., though they exploded during the pandemic. Following the pandemic, it will be critical to identify the characteristics that were associated with adoption of telehealth prior to the pandemic as key drivers of adoption and outside of a public health emergency. Materials and Methods We examined three data sources: The

Objectives The established Beers Criteria consider side effects and safety concerns when prescribing drugs to the elderly. As the criteria suggest that attention should be paid toward prescriptions rather than prescription prohibition lists, these Beers Criteria medications (BCMs) are used appropriately under unavoidable circumstances. Methods Patients aged ≥65 years and with an experience of being

Aim Background: Many health care services are implementing or planning to undergo digital transformation to keep pace with increasing Electronic Medical Record (EMR) functionality. The aim of this study was to objectively measure nursing care delivery before and following introduction of an EMR. Design and methods: An extensive program of work to expand an EMR across our health service using a ‘big

Background Intensive care units (ICU) are busy round the clock and it is difficult to maintain low sound levels that support patient rest. To help ICU staff manage activities we developed a visual display that monitors and reports sound levels in real-time. This facilitates immediate feedback, encouraging proactive behavior change to limit disturbances. Methods Following the principles of user-centered

Introduction Health information and communication technologies, such as Teledentistry, can help expand access to dental health public services making it more effective. Objective: To analyze the factors that affect the implementation of a Teledentistry system in dental health public services. Methods The study follows the Implementation Research methodological framework. A mixed-method approach was

Background The eHealth Literacy Scale (eHEALS) has become a standard tool for the evaluation of digital health literacy. Objectives This study aims to examine the validity and reliability of the Brazilian version of the eHEALS in a sample of patients from a dental clinic setting. Material and methods A cross-sectional survey was conducted in a dental setting. The sample included patients from the Dental

Background Electronic Medical Record Systems (EMRs) are now part of nursing and medical professionals daily work in the acute and primary care sectors in Australia. Usability is an important factor in their successful adoption and impacts upon clinical workflow, safety and quality, communication, and collaboration. This study replicates a significant body of work conducted by Finnish researchers applying

Introduction The Clinical Care Classification (CCC) system is one of the standard nursing terminologies recognized by the American Nurses Association, developed to describe nursing care through electronic documentation in different healthcare settings. The translation of the CCC system into languages other than English is useful to promote its widespread use in different countries and to provide the

Background Replication of prediction modeling using electronic health records (EHR) is challenging because of the necessity to compute phenotypes including study cohort, outcomes, and covariates. However, some phenotypes may not be easily replicated across EHR data sources due to a variety of reasons such as the lack of gold standard definitions and documentation variations across systems, which may

Introduction Clinicians rely on pharmacologic knowledge bases to answer medication questions and avoid potential adverse drug events. In late 2018, an artificial intelligence-based conversational agent, Watson Assistant (WA), was made available to online subscribers to the pharmacologic knowledge base, Micromedex®. WA allows users to ask medication-related questions in natural language. This study

Background and objective Amblyopia is a public health problem, and strabismus is its primary cause. Our objective is to evaluate the concordance of the diagnosis of strabismus between strabismus expert ophthalmologist and the mhealth application developed for this purpose. Methods We evaluated the concordance of the diagnosis of strabismus between the expert ophthalmologist and the mhealth application

Background Restrictions to direct patient contact resulting from the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic left some medical students near graduation in need of a required critical care medicine (CCM) sub-internship. A group of educators deployed a virtual curriculum utilizing telemedicine and electronic health record (EHR) technologies. Methods Nine students participated

Objectives Nursing documentation behavior within electronic health records may reflect a nurse’s concern about a patient and can be used to predict patient deterioration. Our study objectives were to quantify variations in nursing documentation patterns, confirm those patterns and variations with clinicians, and identify which patterns indicate patient deterioration and recovery from clinical deterioration

Background Wrong medication and wrong dosage are major risks in the pharmaceutical industry, as many medication errors occur when dispensing medication. The dispensing process in its current form is limited in verifying the patient's identity before dispensing the medication. Furthermore, this process does not offer a robust method for providing accurate medication intake instructions. Therefore, we

Background Medical, nursing, and allied health students, and professionals are using online environments such as social media to communicate and share information. However, some have difficulty differentiating between their professional and personal roles and can behave inappropriately online. Better education and training may help prevent these issues from arising. Objective Identify and synthesise

Purpose This research was aimed at studying the evolution and roles of the Israeli physicians' professional social network as perceived by the members of the network. Methodology The research examined a case study of RAMBAM/KEHILA professional networks, applying both qualitative and quantitative methods for establishing a grounded theory. Findings Physicians want to be part of their professional community

Background Implementation of an electronic health record (EHR) that is fully integrated for clinical information, patient scheduling, and billing can effectively be shared by the entire healthcare community, both for the municipality and hospitals in Central Norway. The role and involvement of healthcare workers (HCW) in the implementation process might affect the standardization process. Purpose This

Objectives To map the current state-of-knowledge about the effectiveness of smart home technologies to support the health outcomes of community-dwelling older adults living with dementia. Design A scoping review following the methodological frameworks described by Arksey and O’Malley (2005) and Levac et al. (2010). Data sources Electronic databases and online sources were searched in April 2020 using

Background The world is in the midst of the “digital” revolution characterized by the ascendency of computerization, information systems and artificial intelligence with an emphasis on innovation and creativity. This revolution has affected current medical practice and promises to significantly impact it in the future. This requires physician’s understanding and participation in adopting such technology

Background The Health Sentinel (Centinela de la Salud, CDS), a mobile crowdsourcing platform that includes the CDS app, was deployed to assess its utility as a tool for COVID-19 surveillance in San Luis Potosí, Mexico. Methods The CDS app allowed anonymized individual surveys of demographic features and COVID-19 risk of transmission and exacerbation factors from users of the San Luis Potosí Metropolitan

Background A medication-related Clinical Decision Support System (CDSS) is an application that analyzes patient data to provide assistance in medication-related care processes. Despite its potential to improve the clinical decision-making process, evidence shows that clinicians do not always use CDSSs in such a way that their potential can be fully realized. This systematic literature review provides

Background and objective The user interface usability of the nursing information system (NIS) should be such that the nurses can learn and interact with it easily and quickly. Therefore, it is necessary to identify and solve the usability problems of these systems. The present study aimed to evaluate the usability of a NIS using the cognitive walkthrough (CW) evaluation method. Methods Based on five

This editorial aims to contribute to the current debate about the quality of studies that apply machine learning (ML) methodologies to medical data to extract value from them and provide clinicians with viable and useful tools supporting everyday care practices. We propose a practical checklist to help authors to self assess the quality of their contribution and to help reviewers to recognize and appreciate

Background Inappropriate prescribing of non-vitamin K agents (NOAC) contributes to significant economic and personal burden to our society. Studies have shown that when well designed and targeted, computerized alerts can be effective in improving prescribing without contributing to alert fatigue. Method A collaborative multidisciplinary review group was set up to review and endorse an upgrade and modification

Background When it comes to critical early post-acute TIA/stroke phase, there is a lack of a comprehensive multi-parametric telemonitoring system. The COVID-19 emergency, its related global mobility restrictions and fear of hospitalization further highlighted the need of a comprehensive solution. Objective We aimed to design and test a pragmatic e-Health system based on multiparametric telemonitoring

Background The recent, rapid development of digital technologies offers new possibilities for more efficient implementation of electronic health record (EHR) and personal health record (PHR) systems. A growing volume of healthcare data has been the hallmark of this digital transformation. The large healthcare datasets' complexity and their dynamic nature pose various challenges related to processing

Background Acute stroke is an urgent medical condition that requires immediate assessment and treatment. Prompt identification of patients with suspected stroke at emergency department (ED) triage followed by timely activation of code stroke systems is the key to successful management of stroke. While false negative detection of stroke may prevent patients from receiving optimal treatment, excessive

Purpose Although wearable activity trackers hold a promise of nudging people toward a more active lifestyle, current research reveals inconsistent findings regarding the effectiveness of them. The objectives of this paper are two-fold: (1) to synthesize evidence on the effects of wearable activity trackers for improving physical activities, and (2) to identify potential moderators of effect size. Methods

Objective Early identification of emergency department (ED) patients who need hospitalization is essential for quality of care and patient safety. We aimed to compare machine learning (ML) models predicting the hospitalization of ED patients and conventional regression techniques at three points in time after ED registration. Methods We analyzed consecutive ED patients of three hospitals using the

Background The number of older adults with Alzheimer’s disease and related dementias (ADRD) is increasing worldwide. This offers ample opportunities for mobile health (mHealth) apps, for example to support them in performing daily activities or monitoring their health status. However, how to design these apps taking into consideration ADRD related barriers remains a challenge. Objective To provide

Introduction People around the world are increasingly affected by multimorbidity, where conditions in different medical specialties can correlate in complex ways. This increases the relevance of multidisciplinary integrated care pathways. Modern software solutions provide vast opportunities to enhance information exchange between patients and various healthcare professionals, thereby improving patient-centered

Background Ownership has significant impact on website motivation. Consumers may heavily rely on the health website ownership cue when assessing credibility and making behavioral response toward health information on it. Health websites were primarily divided into four different ownership types (i.e., governmental, organizational, commercial, and personal) in China’s context. However, research on Chinese

Introduction Current lengthening of average life and constant increase of population ageing associated to forces that include rapid unplanned urbanisation and globalisation of unhealthy behaviours have determined the huge relevance of noncommunicable diseases (NCDs). Monitoring key modifiable behavioural risk factors has resulted to be crucial both in spatial terms and as per temporal trends in order

Objective The COVID-19 pandemic and its socio-economic impacts have disrupted our health systems and society. We sought to examine informatics and digital health strategies that supported the primary care response to COVID-19 in Australia. Specifically, the review aims to answer: how Australian primary health care responded and adapted to COVID-19, the facilitators and inhibitors of the Primary care

Introduction We aimed to assess whether machine learning models are superior at predicting acute kidney injury (AKI) compared to logistic regression (LR), a conventional prediction model. Methods Eligible studies were identified using PubMed and Embase. A total of 24 studies consisting of 84 prediction models met inclusion criteria. Independent samples t-test was performed to detect mean differences

Objective There was a significant delay in compiling a complete list of the symptoms of COVID-19 during the 2020 outbreak of the disease. When there is little information about the symptoms of a novel disease, interventions to contain the spread of the disease would be suboptimal because people experiencing symptoms that are not yet known to be related to the disease may not limit their social activities

Introduction Internationally the COVID-19 pandemic has triggered a dramatic and unprecedented shift in telehealth uptake as a means of protecting healthcare consumers and providers through remote consultation modes. Early in the pandemic, Australia implemented a comprehensive and responsive set of policy measures to support telehealth. Initially targeted at protecting vulnerable individuals, including

Objective To assess physicians’ perceptions about narrative note sections format and content commonly reported in visit notes to inform future research and EHR development. Methods We conducted two online surveys with a multi-specialty panel of outpatient physicians from a large health system to collect their perceptions of the usefulness of three narrative formats and the relevance of content reported

Aim This study aimed to evaluate the patients' satisfaction with using store-and-forward voice and text messaging teleconsultation service to provide primary health care to patients during the COVID-19 pandemic. Method A cross-sectional survey was conducted between October 1 and December 1, 2020, in Iran. The study population consisted of patients who used the service. Three hundred-ninety-six patients

Aim The implementation of electronic health records (EHRs) in the aged care sector has been shown to improve efficiency and quality of care, administrative and funding processes. The aim of this study was to examine whether implementing EHRs and/or interventions leveraging EHRs in residential aged care facilities has any impact on health outcomes for residents and to review and summarise any published

Introduction The growing demand from patients with wounds from various causes has significantly challenged primary care nurses. A chatbot, with duly validated evidence-based content, can assist both nurses and patients in managing care. This work describes the development process of such a chatbot (BOTCURATIVO) that aims to help the treatment of wounds by non-specialists, by giving guidelines about

Introduction Recently, telemedical services are increasingly used. It remains unclear, if outpatients in general surgery can be treated via telemedicine (e.g. telework). We aimed to evaluate, if diagnosis and therapies of outpatients in general surgery can be found using a mobile healthcare communication app instead of personal contact. Material and Methods In a prospective, double blind, anonymized

Motivation The timely identification of patients for hospitalization in emergency departments (EDs) can facilitate efficient use of hospital resources. Machine learning can help the early prediction of ED disposition; however, application of machine learning models requires both computer science skills and domain knowledge. This presents a barrier for those who want to apply machine learning to real-world

Background and objective CGM systems are still subject to a time-delay, which especially during rapid changes causes clinically significant difference between the CGM and the actual BG level. This study had the aim of exploring the potential of developing and validating a model for prediction of future CGM measurements in order to overcome the time-delay. Methods An artificial neural network regression

Background Patient handoffs from an operating room (OR) to an intensive care unit (ICU) require precise coordination among surgical, anesthesia, and critical care teams. Although several standardized handoff strategies have been developed, their sustainability remains is poor. Little is known regarding factors that impede handoff standardization. Purpose Our objectives are three-fold: (1) highlight

Background Telemedicine has been a useful healthcare alternative in the fight to contain the recent Covid-19 global pandemic. Yet the extent of its application and efficacy as an alternative route for healthcare provision remains a major concern for clinicians and patients. Objective This study sought to identify barriers to the successful implementation of telemedicine in Sub-Saharan African (SSA)

Background Effective management of Mechanical Ventilation (MV) is vital for reducing morbidity, mortality, and cost of healthcare. Objective This study aims to synthesize evidence for effective MV management through Intelligent decision support (IDS) with Machine Learning (ML). Method Databases that include EBSCO, IEEEXplore, Google Scholar, SCOPUS, and the Web of Science were systematically searched

Objective To develop and evaluate novel word embeddings (WEs) specific to ophthalmology, using text corpora from published literature and electronic health records (EHR). Materials and Methods We trained ophthalmology-specific WEs using 121,740 PubMed abstracts and 89,282 EHR notes using word2vec continuous bag-of-words architecture. PubMed and EHR WEs were compared to general domain GloVe WEs and

Objectives Ambient assisted living technologies (AALTs) are being used to help community-dwelling older adults (OAs) age in place. Although many AALT are available, their acceptance (perceived usefulness, ease of use, intention to use and actual usage) is needed to improve their design and impact. This study aims to 1) identify AALTs that underwent an acceptance evaluation in rehabilitation contexts

Background The plethora of information in the contemporary digital age is enormous and beyond the capability of the average person to process all the information received. During the COVID-19 pandemic outbreak, huge amount of information is increasingly available in digital information sources and overwhelms the average person. The purpose of this research was to investigate public’s information seeking

Background and objectives Sepsis is a life-threatening condition that is associated with increased mortality. Artificial intelligence tools can inform clinical decision making by flagging patients at risk of developing infection and subsequent sepsis. This systematic review aims to identify the optimal set of predictors used to train machine learning algorithms to predict the likelihood of an infection