Read by QxMD icon Read

International Journal of Medical Informatics

Luis Fernandez-Luque, Muhammad Imran
INTRODUCTION: According to the World Health Organization (WHO), over 130 million people are in constant need of humanitarian assistance due to natural disasters, disease outbreaks, and conflicts, among other factors. These health crises can compromise the resilience of healthcare systems, which are essential for achieving the health objectives of the sustainable development goals (SDGs) of the United Nations (UN). During a humanitarian health crisis, rapid and informed decision making is required...
January 25, 2018: International Journal of Medical Informatics
Santiago Hors-Fraile, Octavio Rivera-Romero, Francine Schneider, Luis Fernandez-Luque, Francisco Luna-Perejon, Anton Civit-Balcells, Hein de Vries
BACKGROUND: Recommender systems are information retrieval systems that provide users with relevant items (e.g., through messages). Despite their extensive use in the e-commerce and leisure domains, their application in healthcare is still in its infancy. These systems may be used to create tailored health interventions, thus reducing the cost of healthcare and fostering a healthier lifestyle in the population. OBJECTIVE: This paper identifies, categorizes, and analyzes the existing knowledge in terms of the literature published over the past 10 years on the use of health recommender systems for patient interventions...
December 28, 2017: International Journal of Medical Informatics
A Bernasconi, F Crabbé, R Rossi, I Qani, A Vanobberghen, M Raab, S Du Mortier
INTRODUCTION: ALMANACH (ALgorithms for the MANagement of Acute CHildhood illnesses) is an electronic version of IMCI (Integrated Management of Childhood Illness) running on tablets. ALMANACH enhances its concept, it integrates well into health staff's daily consultation work and facilitates diagnosis and treatment. ALMANACH informs when to refer a child or to perform a rapid diagnostic test (RDT), recommends the right treatment dosage and synchronizes collected data real time with a Health Management Information System (DHIS2) for epidemiological evaluation and decision making...
December 28, 2017: International Journal of Medical Informatics
Farkhondeh Asadi, Somayeh Paydar
OBJECTIVE: Trauma is a major cause of 10% death in the worldwide and is considered as a global concern. This problem has made healthcare policy makers and managers to adopt a basic strategy in this context. Trauma registry has an important and basic role in decreasing the mortality and the disabilities due to injuries resulted from trauma. Today, different software are designed for trauma registry. Evaluation of this software improves management, increases efficiency and effectiveness of these systems...
April 2018: International Journal of Medical Informatics
E Parimbelli, B Bottalico, E Losiouk, M Tomasi, A Santosuosso, G Lanzola, S Quaglini, R Bellazzi
OBJECTIVES: The main purpose of the article is to raise awareness among all the involved stakeholders about the risks and legal implications connected to the development and use of modern telemedicine systems. Particular focus is given to the class of "active" telemedicine systems, that imply a real-world, non-mediated, interaction with the final user. A secondary objective is to give an overview of the European legal framework that applies to these systems, in the effort to avoid defensive medicine practices and fears, which might be a barrier to their broader adoption...
April 2018: International Journal of Medical Informatics
Steve Harris, Sinan Shi, David Brealey, Niall S MacCallum, Spiros Denaxas, David Perez-Suarez, Ari Ercole, Peter Watkinson, Andrew Jones, Simon Ashworth, Richard Beale, Duncan Young, Stephen Brett, Mervyn Singer
OBJECTIVE: To build and curate a linkable multi-centre database of high resolution longitudinal electronic health records (EHR) from adult Intensive Care Units (ICU). To develop a set of open-source tools to make these data 'research ready' while protecting patient's privacy with a particular focus on anonymisation. MATERIALS AND METHODS: We developed a scalable EHR processing pipeline for extracting, linking, normalising and curating and anonymising EHR data. Patient and public involvement was sought from the outset, and approval to hold these data was granted by the NHS Health Research Authority's Confidentiality Advisory Group (CAG)...
April 2018: International Journal of Medical Informatics
Randall W Grout, Erika R Cheng, Aaron E Carroll, Nerissa S Bauer, Stephen M Downs
OBJECTIVE: Long-term acceptability among computerized clinical decision support system (CDSS) users in pediatrics is unknown. We examine user acceptance patterns over six years of our continuous computerized CDSS integration and updates. MATERIALS AND METHODS: Users of Child Health Improvement through Computer Automation (CHICA), a CDSS integrated into clinical workflows and used in several urban pediatric community clinics, completed annual surveys including 11 questions covering user acceptability...
April 2018: International Journal of Medical Informatics
Joy T Wu, Franck Dernoncourt, Sebastian Gehrmann, Patrick D Tyler, Edward T Moseley, Eric T Carlson, David W Grant, Yeran Li, Jonathan Welt, Leo Anthony Celi
Advancement of Artificial Intelligence (AI) capabilities in medicine can help address many pressing problems in healthcare. However, AI research endeavors in healthcare may not be clinically relevant, may have unrealistic expectations, or may not be explicit enough about their limitations. A diverse and well-functioning multidisciplinary team (MDT) can help identify appropriate and achievable AI research agendas in healthcare, and advance medical AI technologies by developing AI algorithms as well as addressing the shortage of appropriately labeled datasets for machine learning...
April 2018: International Journal of Medical Informatics
V Schetinin, L Jakaite, W Krzanowski
INTRODUCTION: For making reliable decisions, practitioners need to estimate uncertainties that exist in data and decision models. In this paper we analyse uncertainties of predicting survival probability for patients in trauma care. The existing prediction methodology employs logistic regression modelling of Trauma and Injury Severity Score (TRISS), which is based on theoretical assumptions. These assumptions limit the capability of TRISS methodology to provide accurate and reliable predictions...
April 2018: International Journal of Medical Informatics
Theodora S Brisimi, Ruidi Chen, Theofanie Mela, Alex Olshevsky, Ioannis Ch Paschalidis, Wei Shi
BACKGROUND: In an era of "big data," computationally efficient and privacy-aware solutions for large-scale machine learning problems become crucial, especially in the healthcare domain, where large amounts of data are stored in different locations and owned by different entities. Past research has been focused on centralized algorithms, which assume the existence of a central data repository (database) which stores and can process the data from all participants. Such an architecture, however, can be impractical when data are not centrally located, it does not scale well to very large datasets, and introduces single-point of failure risks which could compromise the integrity and privacy of the data...
April 2018: International Journal of Medical Informatics
Iris Reychav, Inam Najami, Daphne Ruth Raban, Roger McHaney, Joseph Azuri
PURPOSE: To examine the relationship between the media, through which medical information was made available (e.g. digital versus printed), and the patients' desire to play an active part in a medical decision in an SDM or an ISDM-based process. The goal of this research was to expand knowledge concerning social and personal factors that affect and explain patients' willingness to participate in the process. METHODS: A questionnaire was distributed in this empirical study of 103 third-age participants...
April 2018: International Journal of Medical Informatics
Felipe Maia de Toledo Piza, Leo Anthony Celi, Rodrigo Octavio Deliberato, Lucas Bulgarelli, Fabricio Rodrigues Torres de Carvalho, Roberto Rabello Filho, Miguel Angel Armengol de La Hoz, Jennifer Cohn Kesselheim
BACKGROUND: Datathons are increasingly organized in the healthcare field. The goal is to assemble people with different backgrounds to work together as a team and engage in clinically relevant research or develop algorithms using health-related datasets. Criteria to assess the return of investment on such events have traditionally included publications produced, patents for prediction, classification, image recognition and other types of software, and start-up companies around the application of machine learning in healthcare...
April 2018: International Journal of Medical Informatics
Jennifer Jewer
BACKGROUND: As health care becomes more reliant on technology, a better understanding of the factors that contribute to acceptance and use of technology is now critical. The Unified Theory of Acceptance and Use of Technology (UTAUT) has been applied to study a variety of technologies in different settings, and it is one of the most cited theories in Information Systems (IS) research. However, there has been limited application of UTAUT to health IT and, in particular, to patients' IT use...
April 2018: International Journal of Medical Informatics
Fernando Aparicio, María Luz Morales-Botello, Margarita Rubio, Asunción Hernando, Rafael Muñoz, Hugo López-Fernández, Daniel Glez-Peña, Florentino Fdez-Riverola, Manuel de la Villa, Manuel Maña, Diego Gachet, Manuel de Buenaga
BACKGROUND: Student participation and the use of active methodologies in classroom learning are being increasingly emphasized. The use of intelligent systems can be of great help when designing and developing these types of activities. Recently, emerging disciplines such as 'educational data mining' and 'learning analytics and knowledge' have provided clear examples of the importance of the use of artificial intelligence techniques in education. OBJECTIVE: The main objective of this study was to gather expert opinions regarding the benefits of using complementary methods that are supported by intelligent systems, specifically, by intelligent information access systems, when processing texts written in natural language and the benefits of using these methods as companion tools to the learning activities that are employed by biomedical and health sciences teachers...
April 2018: International Journal of Medical Informatics
Salama A Mostafa, Aida Mustapha, Mazin Abed Mohammed, Mohd Sharifuddin Ahmad, Moamin A Mahmoud
Autonomous agents are being widely used in many systems, such as ambient assisted-living systems, to perform tasks on behalf of humans. However, these systems usually operate in complex environments that entail uncertain, highly dynamic, or irregular workload. In such environments, autonomous agents tend to make decisions that lead to undesirable outcomes. In this paper, we propose a fuzzy-logic-based adjustable autonomy (FLAA) model to manage the autonomy of multi-agent systems that are operating in complex environments...
April 2018: International Journal of Medical Informatics
Gonzalo Sirgo, Federico Esteban, Josep Gómez, Gerard Moreno, Alejandro Rodríguez, Lluis Blanch, Juan José Guardiola, Rafael Gracia, Lluis De Haro, María Bodí
BACKGROUND: Big data analytics promise insights into healthcare processes and management, improving outcomes while reducing costs. However, data quality is a major challenge for reliable results. Business process discovery techniques and an associated data model were used to develop data management tool, ICU-DaMa, for extracting variables essential for overseeing the quality of care in the intensive care unit (ICU). OBJECTIVE: To determine the feasibility of using ICU-DaMa to automatically extract variables for the minimum dataset and ICU quality indicators from the clinical information system (CIS)...
April 2018: International Journal of Medical Informatics
Raul A Borracci, Mariano A Giorgi
BACKGROUND: Diffusion of medical innovations among physicians rests on a set of theoretical assumptions, including learning and decision-making under uncertainty, social-normative pressures, medical expert knowledge, competitive concerns, network performance effects, professional autonomy or individualism and scientific evidence. OBJECTIVES: The aim of this study was to develop and test four real data-based, agent-based computational models (ABM) to qualitatively and quantitatively explore the factors associated with diffusion and application of innovations among cardiologists...
April 2018: International Journal of Medical Informatics
Jonathan Rubin, Cristhian Potes, Minnan Xu-Wilson, Junzi Dong, Asif Rahman, Hiep Nguyen, David Moromisato
BACKGROUND: Early deterioration indicators have the potential to alert hospital care staff in advance of adverse events, such as patients requiring an increased level of care, or the need for rapid response teams to be called. Our work focuses on the problem of predicting the transfer of pediatric patients from the general ward of a hospital to the pediatric intensive care unit. OBJECTIVES: The development of a data-driven pediatric early deterioration indicator for use by clinicians with the purpose of predicting encounters where transfer from the general ward to the PICU is likely...
April 2018: International Journal of Medical Informatics
Sheng-Feng Sung, Kuanchin Chen, Darren Philbert Wu, Ling-Chien Hung, Yu-Hsiang Su, Ya-Han Hu
OBJECTIVE: To reduce errors in determining eligibility for intravenous thrombolytic therapy (IVT) in stroke patients through use of an enhanced task-specific electronic medical record (EMR) interface powered by natural language processing (NLP) techniques. MATERIALS AND METHODS: The information processing algorithm utilized MetaMap to extract medical concepts from IVT eligibility criteria and expanded the concepts using the Unified Medical Language System Metathesaurus...
April 2018: International Journal of Medical Informatics
Ryota Inokuchi, Hiromu Maehara, Satoshi Iwai, Masao Iwagami, Hajime Sato, Yoko Yamaguchi, Toshifumi Asada, Miyuki Yamamoto, Kensuke Nakamura, Takahiro Hiruma, Kent Doi, Naoto Morimura
PURPOSE: The interface design and its effect on workflow are key determinants of the usability of electronic medical records (EMRs) in the emergency department (ED). However, whether the overall clinical care can be improved by dividing the interface design of physical findings into medical and trauma findings is unknown. We previously developed an EMR system in which the checkpoints were separated into different sections according to the body part. Herein, we modified this EMR system by remaking the interface design specifically for trauma patients, and evaluated its performance...
April 2018: International Journal of Medical Informatics
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"