Terkko Navigator / International Journal of Medical Informatics

The potential role of EHR data in optimizing eligibility criteria definition for cardiovascular outcome trials

A feature-oriented analysis of developers’ descriptions and user reviews of top mHealth applications for diabetes and hypertension

Examining the predictability and prognostication of multimorbidity among older Delayed-Discharge Patients: A Machine learning analytics

ICT-based person-centered community care platform (IPC3P) to enhance shared decision-making for integrated health and social care services

Subcategorizing EHR diagnosis codes to improve clinical application of machine learning models

Prediction of hospital admission from the emergency department: Clinician involvement, intended use, and interpretability

Using a mixed methods approach to identify public perception of vaping risks and overall health outcomes on Twitter during the 2019 EVALI outbreak

Teleconsultation for outpatient care of patients during the Covid-19 pandemic at a University Hospital in Colombia

Development and implementation of venous thromboembolism stewardship across a hospital network

Feasibility assessment of infectious keratitis depicted on slit-lamp and smartphone photographs using deep learning

Multi-Class brain normality and abnormality diagnosis using modified Faster R-CNN

Machine learning based early mortality prediction in the emergency department

The application of machine learning algorithms in predicting the length of stay following femoral neck fracture

Investigating the effective factors of using mHealth apps for monitoring COVID-19 symptoms and contact tracing: A survey among Iranian citizens

The clinical pharmacist’s role in enhancing the relevance of a clinical decision support system

Utility and usability of an automated COVID-19 symptom monitoring system (CoSMoS) in primary care during COVID-19 pandemic: A qualitative feasibility study

Predicting length of stay and mortality among hospitalized patients with type 2 diabetes mellitus and hypertension

Analysis of web-based travel health advice provided to international travellers with chronic medical and psychiatric illnesses

Using machine learning to reduce unnecessary rehospitalization of cardiovascular patients in Saudi Arabia

Machine-learning-based predictions of direct-acting antiviral therapy duration for patients with hepatitis C

User-centered requirements engineering to manage the fuzzy front-end of open innovation in e-health: A study on support systems for seniors’ physical activity

Feature selection and predicting chemotherapy-induced ulcerative mucositis using machine learning methods

Benchmarking blockchain-based gene-drug interaction data sharing methods: A case study from the iDASH 2019 secure genome analysis competition blockchain track

A comparison between the ICNP and the ICF for expressing nursing content in the electronic health record

An AI-based radiomics nomogram for disease prognosis in patients with COVID-19 pneumonia using initial CT images and clinical indicators

Predicting mortality in SARS-COV-2 (COVID-19) positive patients in the inpatient setting using a novel deep neural network

Development and validation of a Screening Tool to Evaluate and Warrant Anticoagulation Treatment prior to Discharge in inpatients with Atrial Fibrillation (STEWARxD-AF)

A National Survey of EMR Usability: Comparisons between medical and nursing professions in the hospital and primary care sectors in Australia and Finland

Geriatrics on beers criteria medications at risk of adverse drug events using real-world data

Comparison of terminology mapping methods for nursing wound care knowledge representation

A longitudinal time and motion study quantifying how implementation of an electronic medical record influences hospital nurses’ care delivery

Machine learning directed interventions associate with decreased hospitalization rates in hemodialysis patients

Monitoring sound levels in the intensive care unit: A mixed-methods system development project to optimize design features for a new electronic interface in the healthcare environment

Differences in information accessed in a pharmacologic knowledge base using a conversational agent vs traditional search methods

Translation and cross-cultural adaptation of the Clinical Care Classification system

Challenges in replicating secondary analysis of electronic health records data with multiple computable phenotypes: A case study on methicillin-resistant Staphylococcus aureus bacteremia infections

Telehealth in US hospitals: State-level reimbursement policies no longer influence adoption rates

Teledentistry System in Dental Health Public Services: A Mixed-Methods Intervention Study

Network analysis and psychometric properties of the Brazilian version of the eHealth Literacy Scale in a dental clinic setting

A mhealth application for automated detection and diagnosis of strabismus

Identifying nursing documentation patterns associated with patient deterioration and recovery from deterioration in critical and acute care settings

Novel application of telemedicine and an alternate EHR environment for virtual clinical education: A new model for primary care education during the SARS-CoV-2 pandemic

A framework to lower the risk of medication prescribing and dispensing errors: A usability study of an NFC-based mobile application

The decision-making and learning roles of a professional social network: The case of a family physicians’ network

Epic's implementation of the Willow module and the healthcare workers involving in standardization

Interest in technology among medical students early in their clinical experience

Health Sentinel: A mobile crowdsourcing platform for self-reported surveys provides early detection of COVID-19 clusters in San Luis Potosí, Mexico

Redesign of computerized decision support system to improve Non Vitamin K oral anticoagulant prescribing—A pre and post qualitative and quantitative study

Developing a stroke alert trigger for clinical decision support at emergency triage using machine learning

Machine learning for developing a prediction model of hospital admission of emergency department patients: Hype or hope?