Background Implantable cardioverter-defibrillators (ICDs) have been shown to reduce sudden cardiac death in appropriately selected patients, but they remain underutilized among indicated patients. Objective To develop a new approach to identifying guideline indications among patients implanted with ICDs by creating algorithms that extract data from electronic health records (EHR). Methods Published

Objective Accurate coding is critical for medical billing and electronic medical record (EMR)-based research. Recent research has been focused on developing supervised methods to automatically assign International Classification of Diseases (ICD) codes from clinical notes. However, supervised approaches rely on ICD code data stored in the hospital EMR system and is subject to bias rising from the practice

Background Attention-Deficit/ Hyperactivity Disorder (ADHD) is a prevalent condition in children and adolescents. Although there are pharmacological and non-pharmacological treatments for this disorder, barriers in accessing evidence-based treatments are still a major problem. Digital health interventions are promising for multiple mental health problems. Recent years have brought an increase in the

Background Bipolar disorder (BD) is a chronic illness with a high recurrence rate. Smartphones can be a useful tool for detecting prodromal symptoms of episode recurrence (through real-time monitoring) and providing options for early intervention between outpatient visits. Aims The aim of this systematic review is to overview and discuss the studies on the smartphone-based systems that monitor or detect

Background and objectives Diagnosis and early intervention of chronic kidney disease are essential to prevent loss of kidney function and a large amount of financial resources. To this end, we developed a fuzzy logic-based expert system for diagnosis and prediction of chronic kidney disease and evaluate its robustness against noisy data. Methods At first, we identified the diagnostic parameters and

Objective We aim to 1) design an evaluation framework to examine the accuracy of automatic privacy auditing tools, 2) apply the evaluation method at a hospital to validate the performance of an auditing tool that uses a machine learning algorithm to automate user access auditing; and 3) recommend further improvements in auditing for the hospital. Materials and Methods Using the black box method of

Background In ambulatory care settings, physicians largely rely on clinical guidelines and guideline-based clinical decision support (CDS) systems to make decisions on hypertension treatment. However, current clinical evidence, which is the knowledge base of clinical guidelines, is insufficient to support definitive optimal treatment. Objective The goal of this study is to test the feasibility of using

Background and objectives Teleoncology can be used to reduce the limitations due to the lack of access to specialists, inadequate resources and training, and reducing unnecessary travels and arising of the costs. The purpose of this study was to review the literatures to identify and classify the areas of application and outcomes of using teleoncology in diagnosis, management, and treatment of children

Background ‘Look-alike, sound-alike’ (LASA) medicines may be confused by prescribers, pharmacists, nurses and patients, with serious consequences for patient safety. The current research aimed to develop and trial software to proactively identify LASA medicines by computing medicine name similarity scores. Methods Literature review identified open-source software from the United States Food and Drug

Background Healthcare consumers are increasingly turning to the online health Q&A communities to seek answers for their questions because current general search engines are unable to digest complex health-related questions. Q&A communities are platforms where users ask unstructured questions from different healthcare topics. Objectives This study aimed to provide a concept-based approach to automatically

Background End-user participation is essential to the development of health information systems (HIS) that are useful for clinicians and support their routine work. However, few studies have investigated end users’ experiences with HIS development and their preferred ways of participation in it. Objectives This study examined the participation experiences of physicians and nurses with HIS development

Objective The paper presents a web-based application, SIMPLE, that facilitates medical text comprehension by identifying the health-related terms of a medical text and providing the corresponding consumer terms and explanations. Background The comprehension of a medical text is often a difficult task for laypeople because it requires semantic abilities that can differ from a person to another, depending

Background Evaluation of the accuracy, quality and reliability of written and visual health contents on the internet by healthcare professionals. Aims The objective of this study was to evaluate gastroesophageal reflux health contents in Google search engine and videos on YouTube, in terms of quality, actuality, treatment diversity, accuracy and reliability. Methods A total of 77 YouTube videos and

Objective Predicting the risk of falls in advance can benefit the quality of care and potentially reduce mortality and morbidity in the older population. The aim of this study was to construct and validate an electronic health record-based fall risk predictive tool to identify elders at a higher risk of falls. Methods The one-year fall prediction model was developed using the machine-learning-based

Objective The majority of radiological reports are still written as free text and lack structure. Further evaluation of free-text reports is difficult to achieve without a great deal of manual effort, and is not possible in everyday clinical practice. This study aims to automatically capture clinical information and positive hit rates from narrative radiological reports of suspected urolithiasis using

Context Early detection of cardiovascular disease could make a difference in terms of treatment success. For that reason, it is important to test the reliability of tools used to deliver diagnoses and to measure the impact of external factors such as stressful situations on alterations in the data collected. Students are an interesting cohort for investigating the effects of stressful situations, as

OBJECTIVE To develop an algorithm for identifying acronym 'sense' from clinical notes without requiring a clinically annotated training set. MATERIALS AND METHODS Our algorithm is called CLASSE GATOR: Clinical Acronym SenSE disambiGuATOR. CLASSE GATOR extracts acronyms and definitions from PubMed Central (PMC). A logistic regression model is trained using words associated with specific acronym-definition

Background Health is poorer in rural areas and a major challenge is care coordination for complex chronic conditions. The HITECH and 21st Century Cure Acts emphasize health information exchange which underpins activities required to improve care coordination. Objective and Methods Using semi-structured interviews and surveys, we examined how providers experience electronic health information exchange

BACKGROUND The growing number of individuals with complex medical and social needs has motivated the adoption of care management (CM) - programs wherein multidisciplinary teams coordinate and monitor the clinical and non-clinical aspects of care for patients with chronic disease. Despite claims that health information technology (IT) is essential to CM, there has been limited research focused on the

METHODS The aim of the paper is twofold. First, we present Starviewer, a DICOM viewer developed in C++ with a core component built on top of open-source libraries. The viewer supports extensions that implement functionalities and front-ends for specific use cases. Second, we propose an adaptable evaluation framework based on a set of criteria weighted according to user needs. The framework can consider

BACKGROUND AND PURPOSE Patients' adherence to medication is a complex, multidimensional phenomenon. Dispensation data and electronic health records are used to approximate medication-taking through refill adherence. In-depth discussions on the adverse effects of data quality and computational differences are rare. The purpose of this article is to evaluate the impact of common pitfalls when computing

BACKGROUND Despite a growing need for designing and monitoring health information sites through comprehensive examination of the various elements of website quality, there is little research that systematically models and presents such examinations. OBJECTIVES Applying the updated DeLone and McLean Model of Information Systems Success, this research aimed to examine how health information sites' information

BACKGROUND AND OBJECTIVES A key aspect of the Internet that facilitates research is social media, especially the meteoric rise in the use of Facebook as one of the primary applications for social connectivity. Facebook can be considered a rich source of data due to the high amounts of demographic information shared by users and stored in the system, as well as the way in which users share their thoughts

Clinicians write a billion free text notes per year. These notes are typically replete with errors of all types. No established automated method can extract data from this treasure trove. The practice of medicine therefore remains haphazard and chaotic, resulting in vast economic waste. The lexeme hypotheses are based on our analysis of how records are created. They enable a computer system to predict

BACKGROUND Lung transplantation is one of the advanced treatment options performed even in patients suffering from end-stage lung disease. Due to the positive results of medical informatics in other fields of medicine, lung transplant researchers have also conducted remarkable studies to improve transplant outcomes. The main objective of this article was to review the current studies of health information

INTRODUCTION Research has shown that frailty, a geriatric syndrome associated with an increased risk of negative outcomes for older people, is highly prevalent among residents of residential aged care facilities (also called long term care facilities or nursing homes). However, progress on effective identification of frailty within residential care remains at an early stage, necessitating the development

BACKGROUND AND OBJECTIVES The examination of the fundus allows to evaluate retinal the microcirculation in vivo. We assess the reliability and validity of ALTAIR software, and to evaluate its clinical relevance by the association of thickness, area and length of the retinal vessels with other measures of vascular structure and function, target organ damage and cardiovascular risk. METHODS Cross-sectional

OBJECTIVES Several interventions have been proposed to improve medication adherence including those using reminders. The performance of reminders, including effectiveness and side effects, varies widely in different settings. We must study this for improving decision making on how, when, and where to use what type of reminders. METHODS Analytical modeling is an effective and low-cost method to derive

BACKGROUND Ophthalmology is one of the most requested medical speciality services in the elderly population. Although numerous studies have shown the potentials of telemedicine for the provision of ophthalmology services, the extent of its usability in older adults and the aged population is not clear. The aim of this study was to investigate the characteristics and usability features of teleophthalmology

BACKGROUND Our purpose is to provide evidence that health information technology should be a mainstay of all future health and social support services for older people globally, both within and across community and residential care services. METHODS This work was conducted in two phases. In phase I, the authors conducted a focused exploration by selecting a convenience sample of four long term care

BACKGROUND Smartphone to-do list app was hypothesized to be more efficient than a paper-based list in the management of workflow and to provide additional benefits. PURPOSE To analyze the impact of a mobile task-management application on the workflow of an ICU medical staff. METHODS Superiority by a margin test, quasi-experimental study comparing the use of a smartphone application versus standard

BACKGROUND AND OBJECTIVE This study proposes an approach to evaluation and measuring of presence for man-machine interaction in the virtual reality based on electroencephalographic data. MATERIALS AND METHODS It analyzes stable electroencephalographic patterns that allow us to trace a connection between a brain activity and purposeful actions of an individual in various environments. The subjects of

OBJECTIVE Despite showing comparable levels of efficacy, internet-based psychological interventions (IPI) exhibited lower acceptance and intention of use as compared to psychological treatment delivered by face-to-face methods. Surprisingly, no research has inspected whether IPI acceptance is associated with variables linked with intentions of technology use and with barriers to seeking professional

PURPOSE The purpose of our study was to predict blood pressure variability from time-series data of blood pressure measured at home and data obtained through medical examination at a hospital. Previous studies have reported the blood pressure variability is a significant independent risk factor for cardiovascular disease. METHODS We adopted standard deviation for a certain period and predicted variabilities

BACKGROUND Non-adherence to tuberculosis (TB) treatment jeopardizes the individual's health and contributes to disease transmission and drug resistance. New patient-centered strategies are needed to improve TB treatment outcomes. PURPOSE To convert and expand a texting-based intervention into a mobile optimized application (app), evaluate the feasibility of an added self-administered paper-based drug

BACKGROUND Systems-centered root cause analysis (RCA) of patient safety events presents unique advantages as it aims to disclose vulnerabilities of healthcare systems. However, the increasing number of collected events poses the problems of low efficiency and information overload for traditional RCA. OBJECTIVES This study aims to improve systems-centered RCA by developing optimized information extraction

BACKGROUND Clinical pathways (CPs) increase in popularity and are known to lead to several benefits in the hospital environment. Clinical pathways can be either paper-based or software-based. It is known that paper-based CPs can result in more paperwork instead of simplifying daily routines of healthcare workers. Insufficient research has been done on the acceptance of software-based CPs by different

BACKGROUND Understanding functional and non-functional requirements is essential to successfully implement electronic medical record (EMR) systems. Actual requirements will be different for different contexts. OBJECTIVE To elicit and prioritize requirements for implementing EMRs in oncology in low and middle income countries (LMICs), and to relate these to requirements from high-income countries. PARTICIPANTS

BACKGROUND Risk visualizations are often employed to support risk communication. However, their effectiveness in communication of single absolute risks remains unclear. We investigated the effectiveness of risk visualizations in conveying verbatim knowledge of single absolute risks among the general population. METHODS Randomly sampled members of the general Dutch population completed four basic risk

BACKGROUND AND OBJECTIVE To exchange patient health information using Health Information Exchange (HIE) projects, such information first should be collected thoroughly using an appropriate data entry interface that reinforces information quality (IQ). Assessment of the given data interface based on its structure level may give us a better understanding of patients' attitudes toward information-sharing

OBJECTIVE To simulate the clinical reasoning of doctors, retrieve analogous patients of an index patient automatically and predict diagnoses by the similar/dissimilar patients. METHODS We proposed a novel patient-similarity-based framework for diagnostic prediction, which is inspired by the structure-mapping theory about analogy reasoning in psychology. Patient similarity is defined as the similarity

Background To explore attitudes about artificial intelligence (AI) among staff who utilized AI-based clinical decision support (CDS). Methods A survey was designed to assess staff attitudes about AI-based CDS tools. The survey was anonymously and voluntarily completed by clinical staff in three primary care outpatient clinics before and after implementation of an AI-based CDS system aimed to improve

BACKGROUND Several benefits and problems of electronic prescribing (ePrescribing) are described in scientific literature, though problems remain in the implementation. In this study, we evaluated the pharmacist's perception of the ePrescription implementation within the community pharmacy software in Belgium, and the frequency and hindrance of encountered problems. MATERIAL AND METHODS A cross-sectional

BACKGROUND The proper estimate of the risk of recurrences in early-stage oral tongue squamous cell carcinoma (OTSCC) is mandatory for individual treatment-decision making. However, this remains a challenge even for experienced multidisciplinary centers. OBJECTIVES We compared the performance of four machine learning (ML) algorithms for predicting the risk of locoregional recurrences in patients with

IMPORTANCE Anticoagulants are high-risk medications with the potential to cause significant patient harm or death. Digital transformation is occurring in hospital practice and it is essential to implement effective, evidence-based strategies for these medications in an electronic medical record (EMR). OBJECTIVE To systematically appraise the literature to determine which EMR interventions have improved

INTRODUCTION A dataset with patient information allows a comparison between different clinical treatments in many fields of medicine as well as the effective use of medical resources. Patient-reported outcome measures (PROMs) collect data directly from patients for use in clinical practice by helping decision making and tailoring treatments according to the patients' needs. The authors present a novel

BACKGROUND Mental disorders are a major public health problem leading to premature mortality, homelessness, addiction problems, poor physical health, and suicide. The prevalence of mental disorders in Arab countries, is high. The proliferation and ubiquity of smartphones and their apps in the Arab world may be the long-awaited for digital therapeutic for mental health disorders. However, the evidence

BACKGROUND The Clinical Practice Research Datalink (CPRD) GOLD is an extremely influential U.K. primary care dataset for epidemiological research having a number of published papers based on its data much bigger than any other U.K. primary care dataset. The Office for National Statistics (ONS) death data for England can be linked to GOLD at the patient level and are considered the gold standard on

OBJECTIVE The objective of this study was to quantify both the competitiveness of the EHR vendor market in the United States of America (US) and the degree of fragmentation of individual Medicare beneficiaries' medical records across the differing EHR vendors found in the US healthcare system. METHODS AND MATERIALS We determined the Part A and Part B Medicare-expenditure weighted market shares of EHR