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International Journal of Medical Informatics

Claus Bossen, Yunan Chen, Kathleen H Pine
PURPOSE: Increasing demand for more and better documentation as well as digitalization of healthcare entail shifts in competencies and roles of healthcare occupations and professions. As a result of this data-centric technological development, new kinds of work and occupations emerge of which medical scribes are an example. To investigate and provide a case of an emergent occupation focused on 'data work', we describe the emergence, growth and stabilization of medical scribes, outline their history and provide a literature overview...
March 2019: International Journal of Medical Informatics
İlkim Ecem Emre, Nurdan Erol, Yusuf İzzet Ayhan, Yalçın Özkan, Çiğdem Erol
BACKGROUND: Acute rheumatic fever (ARF) is an important disease that is frequently seen in Turkey, it is necessary to develop solutions to cure the disease. It is believed that new data analysis methods may be applied to this disease, and this may be useful to discover previously unrecognized patterns. Data mining of existing records and data repositories may improve knowledge on the diagnosis and management of ARF. In this regard, we planned to make a contribution to the development of new solutions by approaching the problem from a different standpoint...
March 2019: International Journal of Medical Informatics
Atreyi Kankanhalli, Meghna Saxena, Bimlesh Wadhwa
BACKGROUND: The use of smartphone apps to track and manage physical activity (PA), diet, and sleep is growing rapidly. Many apps aim to change individual behavior on these three key health dimensions (PA, sleep, diet) by using various interventions. Earlier reviews have examined interventions using smartphone apps for one or two of these dimensions. However, there is lack of reviews focusing on interventions for all three of these dimensions in combination with each other. This is important since the dimensions are often inter-related, and all are required for a healthy lifestyle...
March 2019: International Journal of Medical Informatics
Jan Bruthans
INTRODUCTION: Outpatient Electronic Prescription Systems (OEPSs) are widely used in some European states, such as Denmark, Sweden and the Netherlands. The Czech OEPS (known as eRecept) was introduced in 2011, but with limited functions and voluntary usage it was not much accepted until 2018, when its usage was made compulsory not only for pharmacies, but for physicians as well. METHODS: Using data from the Czech State Institute for Drug Control (Státní ústav pro kontrolu léčiv or SÚKL in Czech) and from other sources, the system was described and data about its performance since 2013 have been obtained...
March 2019: International Journal of Medical Informatics
Jose A Miñarro-Giménez, Ronald Cornet, M C Jaulent, Heike Dewenter, Sylvia Thun, Kirstine Rosenbeck Gøeg, Daniel Karlsson, Stefan Schulz
BACKGROUND: Semantic interoperability of eHealth services within and across countries has been the main topic in several research projects. It is a key consideration for the European Commission to overcome the complexity of making different health information systems work together. This paper describes a study within the EU-funded project ASSESS CT, which focuses on assessing the potential of SNOMED CT as core reference terminology for semantic interoperability at European level. OBJECTIVE: This paper presents a quantitative analysis of the results obtained in ASSESS CT to determine the fitness of SNOMED CT for semantic interoperability...
March 2019: International Journal of Medical Informatics
Joakim Klemets, Jukka Määttälä, Ismo Hakala
BACKGROUND: The healthcare system faces a major challenge in caring for an increasingly ageing population as this task requires more resources than are currently available. Adopting monitoring technologies could enable more efficient care practices and support ageing in place. OBJECTIVES: To investigate how the use of an in-home motion monitoring system can be integrated into home care nurses' workflows and to uncover the factors behind system adoption. DESIGN: A single case study adopting a qualitative approach...
March 2019: International Journal of Medical Informatics
Giuseppe Tradigo, Patrizia Vizza, Gionata Fragomeni, Pierangelo Veltri
BACKGROUND AND OBJECTIVE: Computer aided simulations are useful to support the physician in many steps of the surgical activity, but also in pre-surgical patient classification and in post-surgical diagnosis and treatment decisions. At a broader level, computerized technologies and infrastructures permeate every aspect of the medical activity, from patient management to surgery and patients' follow up with outcomes analyses. Radiography assisted surgery is often used in hemodynamic surgery to study and support cardio-circulatory stents positioning with the use of radioscopy coupled with contrast liquid injected into the vessels...
March 2019: International Journal of Medical Informatics
Yu Chen, Kingsley Travis Abel, John T Janecek, Yunan Chen, Kai Zheng, Steven C Cramer
BACKGROUND: Many forms of home-based technology targeting stroke rehabilitation have been devised, and a number of human factors are important to their application, suggesting the need to examine this information in a comprehensive review. OBJECTIVE: The systematic review aims to synthesize the current knowledge of technologies and human factors in home-based technologies for stroke rehabilitation. METHODS: We conducted a systematic literature search in three electronic databases (IEEE, ACM, PubMed), including secondary citations from the literature search...
March 2019: International Journal of Medical Informatics
Georgina Kennedy, Blanca Gallego
OBJECTIVE: The act of predicting clinical endpoints and patient trajectories based on past and current states is on the precipice of a technological revolution. This systematic review summarises the available evidence describing healthcare provider opinions and preferences with respect to the use of clinical prediction rules. The primary goal of this work is to inform the design and implementation of future systems, and secondarily to identify gaps for the development of clinician education programs...
March 2019: International Journal of Medical Informatics
G Hernandez-Ibarburu, D Perez-Rey, E Alonso-Oset, R Alonso-Calvo, D Voets, C Mueller, B Claerhout, N V Custodix
Since the creation of The International Classification of Diseases (ICD), new versions have been released to keep updated with the current medical knowledge. Migrations of Electronic Health Records (EHR) from ICD-9 to ICD-10-PCS as clinical procedure codification system, has been a significant challenge and involved large resources. In addition, it created new barriers for integrated access to legacy medical procedure data (frequently ICD-9 coded) with current data (frequently ICD-10-PCS coded). This work proposes a solution based on extending ICD-10-PCS with a subgroup of ICD-9-CM concepts to facilitate such integrated access...
February 2019: International Journal of Medical Informatics
Flory L Nkoy, Michelle G Hofmann, Bryan L Stone, Justin Poll, Lauren Clark, Bernhard A Fassl, Nancy A Murphy
Background Children with medical complexity (CMC) are a growing population of medically fragile children with unique healthcare needs, who have recurrent emergency department (ED) and hospital admissions due to frequent acute escalations of their chronic conditions. Mobile health (mHealth) tools have been suggested to support CMC home monitoring and prevent admissions. No mHealth tool has ever been developed for CMC and challenges exist. Objective To: 1) assess information needs for operationalizing CMC home monitoring, and 2) determine technology design functionalities needed for building a mHealth application for CMC...
February 2019: International Journal of Medical Informatics
Robert James Lucero, David S Lindberg, Elizabeth A Fehlberg, Ragnhildur I Bjarnadottir, Yin Li, Jeannie P Cimiotti, Marsha Crane, Mattia Prosperi
BACKGROUND AND PURPOSE: Electronic health record (EHR) data provides opportunities for new approaches to identify risk factors associated with iatrogenic conditions, such as hospital-acquired falls. There is a critical need to validate and translate prediction models that support fall prevention clinical decision-making in hospitals. The purpose of this study was to explore a combined data-driven and practice-based approach to identify risk factors associated with falls. PROCEDURES: We conducted an observational case-control study of EHR data from January 1, 2013 to October 31, 2013 from 14 medical-surgical units of a tertiary referral teaching hospital...
February 2019: International Journal of Medical Informatics
Franco van Wyk, Anahita Khojandi, Akram Mohammed, Edmon Begoli, Robert L Davis, Rishikesan Kamaleswaran
PURPOSE: Sepsis is a life-threatening condition with high mortality rates and expensive treatment costs. To improve short- and long-term outcomes, it is critical to detect at-risk sepsis patients at an early stage. METHODS: A data-set consisting of high-frequency physiological data from 1161 critically ill patients was analyzed. 377 patients had developed sepsis, and had data at least 3 h prior to the onset of sepsis. A random forest classifier was trained to discriminate between sepsis and non-sepsis patients in real-time using a total of 132 features extracted from a moving time-window...
February 2019: International Journal of Medical Informatics
Patrizia Vizza, Giuseppe Tradigo, Domenico Mirarchi, Roberto Bruno Bossio, Nicola Lombardo, Gennarina Arabia, Aldo Quattrone, Pierangelo Veltri
BACKGROUND AND OBJECTIVE: Neurodegenerative diseases are disorders that affect neurons in the brain resulting in a debilitating condition and progressive degeneration of nerve cells. These diseases involve different aspects among which speech impairment. Vocal signal analysis is used to evaluate this impairment and to discriminate normal from pathological voices. MATERIALS AND METHODS: In this paper, two methods of vocal signal analysis have been proposed to evaluate an anomalous condition in human speech, known as dysarthria, useful to compare pathological and healthy voices...
February 2019: International Journal of Medical Informatics
Melissa Beauchemin, Melissa Gradilla, Dawon Baik, Hwayoung Cho, Rebecca Schnall
PURPOSE: Adherence to antiretroviral therapy is essential to HIV management and sustaining viral suppression. Despite simplified regimens, adherence remains difficult for certain persons living with HIV (PLWH). There is evidence to support the use of mHealth apps for effective self-management in PLWH; however, a medication adherence app with real-time monitoring for this population has not been developed and rigorously evaluated by PLWH. We developed a mHealth app (WiseApp) for HIV self-management to help PLWH self-manage their health...
February 2019: International Journal of Medical Informatics
Chenyu Shi, Joost M Meijer, Jiapan Guo, George Azzopardi, Gilles F H Diercksr, Enno Schmidt, Detlef Zillikens, Marcel F Jonkman, Nicolai Petkov
Direct immunofluorescence (DIF) microscopy of a skin biopsy is used by physicians and pathologists to diagnose autoimmune bullous dermatoses (AIBD). This technique is the reference standard for diagnosis of AIBD, which is used worldwide in medical laboratories. For diagnosis of subepidermal AIBD (sAIBD), two different types of serrated pattern of immunodepositions can be recognized from DIF images, namely n- and u-serrated patterns. The n-serrated pattern is typically found in the most common sAIBD bullous pemphigoid...
February 2019: International Journal of Medical Informatics
Rezvan Rahimi, Hamid Moghaddasi, Khadijeh Arjmandi Rafsanjani, Gholamreza Bahoush, Alireza Kazemi
OBJECTIVE: To carry out a systematic review of studies assessing the effects of chemotherapy prescription clinical decision-support systems (CDSSs) on the chemotherapy process. METHODS: Articles published in English before May 1, 2017 and indexed in the PubMed and Embase databases were reviewed systematically. Studies that focused on the effects of chemotherapy prescription CDSSs on the chemotherapy process were included in this research and reviewed. RESULTS: 2283 articles were retrieved, of which 37 met the inclusion criteria...
February 2019: International Journal of Medical Informatics
Giovanni Dimauro, Giorgio Ciprandi, Francesca Deperte, Francesco Girardi, Enrico Ladisa, Sergio Latrofa, Matteo Gelardi
BACKGROUND: In recent years, cytological observations in the Rhinology field are being increasingly utilized. This development has taken place over the last two decades and has proven to be fundamental in defining new nosological entities and in driving changes in the previous classification of rhinitis. The simplicity of the technique and its low invasiveness make nasal cytology a practical diagnostic tool for all rhino-allergology services. Furthermore, since it allows the monitoring of responses to treatment, this method plays an important role in guiding a more effective and less expensive diagnostic program...
February 2019: International Journal of Medical Informatics
Hannele Hyppönen, Sonja Lumme, Jarmo Reponen, Jukka Vänskä, Johanna Kaipio, Tarja Heponiemi, Tinja Lääveri
INTRODUCTION: Timely, complete and accurate patient data is needed in care decisions along the continuum of care. To access patient data from other organizations, there are three types of regional health information exchange systems (RHIS) in use In Finland. Some regions use multiple RHISs while others do not have a RHIS available. The recently introduced National Patient Data Repository (Kanta) is increasingly used for health information exchange (HIE). OBJECTIVES: The purpose of this study was to assess usage of paper, RHISs and Kanta by context in 2017; evolution of paper use over the years; and predictors of paper use in 2017 among Finnish physicians for HIE system development...
February 2019: International Journal of Medical Informatics
Lou Ann Scarton, Liqin Wang, Halil Kilicoglu, Margaret Jahries, Guilherme Del Fiol
OBJECTIVE: There is a significant consumer demand for complementary and alternative medicine (CAM) therapies as possible alternatives to drugs in the treatment and prevention of chronic diseases. Expanding controlled vocabularies to include CAM treatment relations could help meet those needs by facilitating information retrieval from the published literature. The purpose of this study is to design and evaluate two methods to semi-automatically extract CAM treatment-related semantic predications (subject-predicate-object triplets) from the biomedical literature using the Semantic Medline database (SemMedDB)...
January 2019: International Journal of Medical Informatics
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