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

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

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 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

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

Rising rates of NCDs threaten fragile healthcare systems in low- and middle-income countries. Fortunately, new digital technology provides tools to more effectively address the growing dual burden of disease. Two-thirds of the world’s population subscribed to mobile services by the end of 2018, while the falling price of connectivity and the 5G networks rollout promise to accelerate the use of digital

Objective This study compares seven machine learning models developed to predict childhood obesity from age > 2 to ≤ 7 years using Electronic Healthcare Record (EHR) data up to age 2 years. Materials and methods EHR data from of 860,510 patients with 11,194,579 healthcare encounters were obtained from the Children’s Hospital of Philadelphia. After applying stringent quality control to remove implausible

Background Video consultation (VC) has been scaled up at our academic centre attempting to facilitate and accommodate patient-provider interaction in times of social distancing during the recent and ongoing COVID-19 pandemic. Objectives This study evaluates qualitative outcomes with data insights from the electronic health record, to contrast satisfaction outcomes with the actual use of VC. Methods

Objective To evaluate the completeness of diagnosis recording in problem lists in a hospital electronic health record (EHR) system during the COVID-19 pandemic. Design Retrospective chart review with manual review of free text electronic case notes. Setting Major teaching hospital trust in London, one year after the launch of a comprehensive EHR system (Epic), during the first peak of the COVID-19

Introduction Understanding and managing clinician workload is important for clinician (nurses, physicians and advanced practice providers) occupational health as well as patient safety. Efforts have been made to develop strategies for managing clinician workload by improving patient assignment. The goal of the current study is to use electronic health record (EHR) data to predict the amount of work

Background and purpose Hospital staff’s acceptance of an integrated Electronic Health Records system (EHR) is a critical success factor to exploit the benefits EHRs can offer. This study employs a repeated cross-sectional design to differentiate between the enablers and barriers of EHR acceptance prior to EHR implementation and those that arise over time by testing a theoretical model specifically

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. Method Based on five

Background It is necessary to ensure functional diagnosis and auditory rehabilitation as part of a continuous and inseparable follow-up process that begins with Neonatal Hearing Screening to achieve the expected outcome in children with hearing loss. Different software controls the data of this process, adopting different strategies and involving the technology for this. However, there is no specific

Objective The objective of this study was to quantify the rate of provider participation beyond year 1 incentive in the Florida Medicaid Promoting Interoperability (PI) program, formerly the Electronic Health Record Incentive program, and identify the provider and practice characteristics associated with Meaningful Use attestations. Methods and materials We conducted a retrospective cohort study using

Background Attention deficit is a growing problem in adults, and early diagnosis and treatment are needed. Previous studies have shown that cognitive behavioral therapy (CBT) is effective in improving attention deficit symptoms. However, many patients are not receiving adequate treatment due to time, space, and cost constraints. Recently, in other mental illnesses, mobile-based chatbots delivering

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 Optimising the use of patient data has the potential to produce a transformational change in healthcare planning, treatment, condition prevention and understanding disease progression. Establishing how people’s trust could be secured and a social licence to share data could be achieved is of paramount importance. Methods The study took place across Yorkshire and the Humber, in the North

Background As the coronavirus pandemic progressed through the United States, Indianapolis Emergency Medical Services (IEMS) identified a gap between the health system capacity and the projected need to support an overwhelmed health care system. In addressing emergencies or special cases, each medical institution in a metropolitan area typically has a siloed process for capturing emergency patient records

Background Accurate recording of ethnicity in electronic healthcare records is important for the monitoring of health inequalities. Yet until the late 1990s, ethnicity information was absent from more than half of records of patients who received inpatient care in England. In this study, we report on the usefulness of a names-based ethnicity classification, Ethnicity Estimator (EE), for addressing

Background Despite the increasing number of studies in breast cancer survival prediction, there is little attention put toward deceased patients and their survival lengths. Moreover, developing a model that is both accurate and interpretable remains a challenge. Objective This paper proposes a two-stage data analytic framework, where Stage I classifies the survival and deceased statuses and Stage II

Aim To explore the use and impact of standardized terminologies (STs) within nursing and midwifery practice. Introduction The standardization of clinical documentation creates a potential to optimize patient care and safety. Nurses and midwives, who represent the largest proportion of the healthcare workforce worldwide, have been using nursing-specific and multidisciplinary STs within electronic health

Background Tuberculosis (TB) is a largely curable disease, yet it remains one of the top ten causes of death globally. In response to known challenges to completing the long course of TB treatment, our study team developed the TB treatment support tools (TB-TSTs). The mobile application (app) is comprised of the following main components: 1) tracks treatment progress, 2) provides disease tailored information

Background Of the Sustainable Development Goals (SDGs), the third presents the opportunity for a predictive universal digital healthcare ecosystem, capable of informing early warning, assisting in risk reduction and guiding management of national and global health risks. However, in reality, the existing technology infrastructure of digital healthcare systems is insufficient, failing to satisfy current

Objective To ensure the well-being of their patients, health care providers (HCPs) are putting more effort into the quality of the communication they provide in oncology clinics. With the emergence of Health Information Technology (HIT), the dynamics between doctors and patients in oncology settings have changed. The purpose of this literature review is to explore and demonstrate how various health

Introduction The use of eHealth is rapidly increasing; however, many healthcare professionals have insufficient eHealth competency. Consequently, interventions addressing eHealth competency might be useful in fostering the effective use of eHealth. Objective Our systematic review aimed to identify and evaluate the behavior change techniques applied in interventions to promote healthcare professionals’

Background Frailty is considered an emerging syndrome characterized by a decrease in physiological ability to respond to stressors, leading to increased morbidity and mortality rates. Frailty is distinguished from normal age-associated decline because it is a sharp and often rapid decline rather than a gradual slowing down of general functioning. The comprehensive geriatric assessment is currently

Introduction The COVID-19 pandemic has highlighted the need for robust data linkage systems and methods for identifying outbreaks of disease in near real-time. Objectives The primary objective of this study was to develop a real-time geospatial surveillance system to monitor the spread of COVID-19 across the UK. Methods Using self-reported app data and the Secure Anonymised Information Linkage (SAIL)

Introduction An increasing number of patients are voicing their opinions and expectations about the quality of care in online forums and on physician rating websites (PRWs). This paper analyzes patient online reviews (PORs) to identify emerging and fading topics and sentiment trends in PRWs during the early stage of the COVID-19 outbreak. Methods Text data were collected, including 55,612 PORs of 3430

Objective The aim of the study is to analyse an initiative from the World Health Organisation (WHO) to facilitate the dissemination of global standards and guidelines through digital health packages, which can strengthen the capacity of countries to monitor the SDGs. Digital health packages include data standards, guidance on data analysis, specifications for analytical dashboards for a specific health

Background Diabetes is a chronic noncommunicable disease with high incidence rate. Diabetics without early diagnosis or standard treatment may contribute to serious multisystem complications, which can be life threatening. Timely detection and intervention of prediabetes is very important to prevent diabetes, because it is inevitable in the development and progress of the disease. Objective Our objective

Background Despite the proliferation of digital interventions such as Electronic Immunization Registries (EIR), currently, there is little evidence regarding the use of EIR data to improve immunization outcomes in resource-constrained settings. To achieve the Sustainable Development Goal (SDG) of ensuring healthy lives and well-being for all ages, particularly for newborns and children under the age

Purpose This study seeks to understand the key inhibitors for health information exchange (HIE) by ambulatory (outpatient) clinics. We examine the key technological, organizational and environmental factors that inhibit an ambulatory clinic from electronically exchanging health information with external clinics and hospitals. Methods We utilize survey data from 1285 ambulatory clinics in the US state

Purpose Decision Aid systems (DAs) provide information on the pros and cons of mammography. This study aimed to review the research on mammography DAs, synthesize the findings related to their outcomes and characteristics, and address the existed research gap. Methods Relevant studies were identified through a comprehensive search on some e-databases, including PubMed, EMBASE, Scopus, and Web of Science

Introduction OpenMRS is an open source medical record system that was first released in 2004. This research study analyzed OpenMRS implementations by conducting a survey of implementers and by reviewing publicly available data reported to the OpenMRS Community to learn about the utilization and impact of OpenMRS over the past 15 years. Methods Data about the use of OpenMRS were collected by conducting

Objective Many governments are using contact tracing mobile applications (CTMAs) yet public adoption of such systems has been relatively low. The main objective of this paper is to profile adopters (and non-adopters) of Australia’s COVIDSafe CTMA. Materials and methods We use latent profile analysis to examine predictors of CTMA download behaviour. Specifically, we draw on a representative Australian

Background Decision making in the Emergency Department (ED) requires timely identification of clinical information relevant to the complaints. Existing information retrieval solutions for the electronic health record (EHR) focus on patient cohort identification and lack clinical relevancy ranking. We aimed to compare knowledge-based (KB) and unsupervised statistical methods for ranking EHR information

Background Existing studies have demonstrated that behavioural barriers impede eHealth usage among senior citizens. However, thus far, no analysis of how such barriers affect elderly people with disabilities (PwD) has been conducted. Thus, the study investigates the predictors of eHealth usage among elderly PwD. Methods Using data from a 2018 nationwide disability survey comprising 14,798 respondents

Background A vancomycin loading dose is recommended for the treatment of serious methicillin-resistant Staphylococcus aureus (MRSA) infections. However, clinicians often do not adhere to these recommendations, mainly due to nephrotoxicity risk, unfamiliarity with the guideline, or complexity of calculating an individual dose. Therefore, we introduced a computerised clinical decision support system

Introduction COVID-19 has radically changed the delivery of healthcare in Australia. Central to a tertiary paediatric institution’s (The Royal Children’s Hospital Melbourne (RCH) response was a digital health approach comprising a broad suite of informatics and technology solutions including optimising a fully integrated electronic medical record (EMR). Methods This comprehensive approach spanned all

Objective This study sought to assess the effect of reading augmented reality (AR) books on salivary cortisol levels in hospitalized pediatric patients compared to reading a standard children’s book. Methods This was a randomized, two-period, cross-over trial in hospitalized children aged 7–11 years. AR books currently in the market were used as intervention. Complete block randomization was used to

Background The Intelligent Medical Diagnosis System (IMDS) has been targeted by the cyber attackers, who aim to damage the Healthcare Critical National Infrastructure (CNI). This research is motivated by the recent cyber attacks happened worldwide that have resulted in the compromise of medical diagnosis records. This study was conducted to demonstrate how the IMDS could be attacked and diagnosis records

Introduction – Mobile apps are being increasingly used as a tool to deliver clinical care. Evidence of efficacy for such apps varies, and appropriate levels of evidence may depend on the app’s intended use. The UK’s National Institute for Health and Care Excellence (NICE) recently developed an evidence standards framework, aiming to explicitly set out the required standards of evidence for different

Background Inpatient portals have been introduced into tertiary hospitals to meet patients’ information and communication needs, to increase their awareness of health care, and to facilitate their transition after discharge. However, there is inadequate knowledge about hospitalised oncology patients’ use and perceptions of these technologies. Objective To explore cancer patients’ use and perceptions

Background The lack of interoperability is one of the biggest obstacles to the complete digitalization of patient health information in electronic medical records (EMR). The high volume of data breaches has put pressure on care providers to adopt data protection measures to remain compliant with legal requirements. Extreme data protection measures can impede information flow, but they also instill

Background Telehealth implementation is a great solution for Indigenous older adults (OAs) due to the rise of chronic disease and other age-related health disorders. Telehealth is a promising option to increase quality of life, decrease healthcare costs, and offer more independent living. Objectives This scoping review investigated existing telehealth solutions that have been implemented to serve Indigenous

Background IIS are important tools in the public health system and exist to improve and protect the nation’s health from vaccine-preventable diseases. A network of 62 independent state, territorial, and jurisdictional immunization information systems (IIS) are operated within the United States. These systems are relied upon to implement an increasingly complex vaccination schedule, consolidate and

Objective. Telehealth and telemedicine systems aim to deliver remote healthcare services to mitigate the spread of COVID-9. Also, they can help to manage scarce healthcare resources to control the massive burden of COVID-19 patients in hospitals. However, a large portion of today's telehealth and telemedicine systems are centralized and fall short of providing necessary information security and privacy