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BMC Medical Informatics and Decision Making

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https://www.readbyqxmd.com/read/29334962/developing-a-tablet-computer-based-application-app-to-measure-self-reported-alcohol-consumption-in-indigenous-australians
#1
K S Kylie Lee, Scott Wilson, Jimmy Perry, Robin Room, Sarah Callinan, Robert Assan, Noel Hayman, Tanya Chikritzhs, Dennis Gray, Edward Wilkes, Peter Jack GradDipIndigH, Katherine M Conigrave
BACKGROUND: The challenges of assessing alcohol consumption can be greater in Indigenous communities where there may be culturally distinct approaches to communication, sharing of drinking containers and episodic patterns of drinking. This paper discusses the processes used to develop a tablet computer-based application ('App') to collect a detailed assessment of drinking patterns in Indigenous Australians. The key features of the resulting App are described. METHODS: An iterative consultation process was used (instead of one-off focus groups), with Indigenous cultural experts and clinical experts...
January 15, 2018: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29329532/functionality-of-hospital-information-systems-results-from-a-survey-of-quality-directors-at-turkish-hospitals
#2
Mehmet Saluvan, Al Ozonoff
BACKGROUND: We aimed to determine availability of core Hospital Information Systems (HIS) functions implemented in Turkish hospitals and the perceived importance of these functions on quality and patient safety. METHODS: We surveyed quality directors (QDs) at civilian hospitals in the nation of Turkey. Data were collected via web survey using an instrument with 50 items describing core functionality of HIS. We calculated mean availability of each function, mean and median values of perceived impact on quality, and we investigated the relationship between availability and perceived importance...
January 12, 2018: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29329530/design-and-evaluation-of-a-mobile-application-to-assist-the-self-monitoring-of-the-chronic-kidney-disease-in-developing-countries
#3
Alvaro Sobrinho, Leandro Dias da Silva, Angelo Perkusich, Maria Eliete Pinheiro, Paulo Cunha
BACKGROUND: The chronic kidney disease (CKD) is a worldwide critical problem, especially in developing countries. CKD patients usually begin their treatment in advanced stages, which requires dialysis and kidney transplantation, and consequently, affects mortality rates. This issue is faced by a mobile health (mHealth) application (app) that aims to assist the early diagnosis and self-monitoring of the disease progression. METHODS: A user-centered design (UCD) approach involving health professionals (nurse and nephrologists) and target users guided the development process of the app between 2012 and 2016...
January 12, 2018: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29325548/a-pre-post-study-testing-a-lung-cancer-screening-decision-aid-in-primary-care
#4
Daniel S Reuland, Laura Cubillos, Alison T Brenner, Russell P Harris, Bailey Minish, Michael P Pignone
BACKGROUND: The United States Preventive Services Task Force (USPSTF) issued recommendations for older, heavy lifetime smokers to complete annual low-dose computed tomography (LDCT) scans of the chest as screening for lung cancer. The USPSTF recommends and the Centers for Medicare and Medicaid Services require shared decision making using a decision aid for lung cancer screening with annual LDCT. Little is known about how decision aids affect screening knowledge, preferences, and behavior...
January 12, 2018: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29325563/healthcare-information-systems-the-cognitive-challenge
#5
Gavan Lintern, Al Motavalli
BACKGROUND: Healthcare work is, to a considerable extent, cognitive. Subsequently, the analysis and the design of supporting technology must be sensitive to the cognitive and adaptive demands of the work and to the cognitive strategies employed by healthcare practitioners. Despite the vital role that cognition plays in healthcare work, current technocentric design approaches for healthcare technology do not account for it, failing to observe it during analysis and failing to develop support for it during design...
January 11, 2018: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29325555/the-readiness-of-hospital-pharmacists-in-kuwait-to-practise-evidence-based-medicine-a-cross-sectional-study
#6
Ali Jasem Buabbas, Fatemah Mohammad Alsaleh, Hamza Mohamad Al-Shawaf, Ali Abdullah, Abdullah Almajran
BACKGROUND: The evolving role of pharmacists in providing pharmaceutical care, as part of the healthcare team, challenges them to acquire up-to-date knowledge of medicines to make the best clinical decisions. The volume of medical literature is on the increase, and it is important to utilise these resources to optimise patients' therapeutic outcomes. This study aimed at assessing the readiness of government hospital pharmacists in practising evidence-based medicine (EBM) in Kuwait in regards to their attitude, knowledge and skills, as well as the perceived barriers and facilitators...
January 11, 2018: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29304788/analyzing-hidden-populations-online-topic-emotion-and-social-network-of-hiv-related-users-in-the-largest-chinese-online-community
#7
Chuchu Liu, Xin Lu
BACKGROUND: Traditional survey methods are limited in the study of hidden populations due to the hard to access properties, including lack of a sampling frame, sensitivity issue, reporting error, small sample size, etc. The rapid increase of online communities, of which members interact with others via the Internet, have generated large amounts of data, offering new opportunities for understanding hidden populations with unprecedented sample sizes and richness of information. In this study, we try to understand the multidimensional characteristics of a hidden population by analyzing the massive data generated in the online community...
January 5, 2018: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29301576/predicting-7-day-30-day-and-60-day-all-cause-unplanned-readmission-a-case-study-of-a-sydney-hospital
#8
Yashar Maali, Oscar Perez-Concha, Enrico Coiera, David Roffe, Richard O Day, Blanca Gallego
BACKGROUND: The identification of patients at high risk of unplanned readmission is an important component of discharge planning strategies aimed at preventing unwanted returns to hospital. The aim of this study was to investigate the factors associated with unplanned readmission in a Sydney hospital. We developed and compared validated readmission risk scores using routinely collected hospital data to predict 7-day, 30-day and 60-day all-cause unplanned readmission. METHODS: A combination of gradient boosted tree algorithms for variable selection and logistic regression models was used to build and validate readmission risk scores using medical records from 62,235 live discharges from a metropolitan hospital in Sydney, Australia...
January 4, 2018: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29284477/disparities-in-the-use-of-mobile-phone-for-seeking-childbirth-services-among-women-in-the-urban-areas-bangladesh-urban-health-survey
#9
Ghose Bishwajit, Md Rakibul Hoque, Sanni Yaya
BACKGROUND: In Bangladesh, similar to its other South Asian counterparts, shortage of health workers along with inadequate infrastructure constitute some of the major obstacles for the equitable provision of reproductive healthcare services, particularly among the marginalized and underserved neighbourhoods. However, given the rapidly expanding broadband communication and mobile phone market in the country, the application of eHealth and mHealth technologies offer a window of opportunities to minimise the impact of socioeconomic barriers and promote the utilization of maternal healthcare services thereby...
December 29, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29282068/advancing-beyond-the-system-telemedicine-nurses-clinical-reasoning-using-a-computerised-decision-support-system-for-patients-with-copd-an-ethnographic-study
#10
Tina Lien Barken, Elin Thygesen, Ulrika Söderhamn
BACKGROUND: Telemedicine is changing traditional nursing care, and entails nurses performing advanced and complex care within a new clinical environment, and monitoring patients at a distance. Telemedicine practice requires complex disease management, advocating that the nurses' reasoning and decision-making processes are supported. Computerised decision support systems are being used increasingly to assist reasoning and decision-making in different situations. However, little research has focused on the clinical reasoning of nurses using a computerised decision support system in a telemedicine setting...
December 28, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29282048/exploring-factors-associated-with-the-uneven-utilization-of-telemedicine-in-norway-a-mixed-methods-study
#11
H Alami, M P Gagnon, R Wootton, J P Fortin, P Zanaboni
BACKGROUND: Norway has a long history of using telemedicine, especially for geographical reasons. Despite the availability of promising telemedicine applications and the implementation of national initiatives and policies, the sustainability and scaling-up of telemedicine in the health system is still far from accomplished. The main objective of this study was to explore and identify the multi-level (micro, meso and macro) factors affecting telemedicine utilization in Norway. METHODS: We used a mixed methods approach...
December 28, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29273040/multiple-constraints-compromise-decision-making-about-implantable-medical-devices-for-individual-patients-qualitative-interviews-with-physicians
#12
Anna R Gagliardi, Ariel Ducey, Pascale Lehoux, Thomas Turgeon, Jeremy Kolbunik, Sue Ross, Patricia Trbovich, Anthony Easty, Chaim Bell, David R Urbach
BACKGROUND: Little research has examined how physicians choose medical devices for treating individual patients to reveal if interventions are needed to support decision-making and reduce device-associated morbidity and mortality. This study explored factors that influence choice of implantable device from among available options. METHODS: A descriptive qualitative approach was used. Physicians who implant orthopedic and cardiovascular devices were identified in publicly available directories and web sites...
December 22, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29273037/economic-and-organizational-impact-of-a-clinical-decision-support-system-on-laboratory-test-ordering
#13
Elena Bellodi, Emidia Vagnoni, Barbara Bonvento, Evelina Lamma
BACKGROUND: We studied the impact of a clinical decision support system (CDSS) implemented in a few wards of two Italian health care organizations on the ordering of redundant laboratory tests under different perspectives: (1) analysis of the volume of tests, (2) cost analysis, (3) end-user satisfaction before and after the installation of the CDSS. METHODS: (1) and (2) were performed by comparing the ordering of laboratory tests between an intervention group of wards where a CDSS was in use and a second (control) group where a CDSS was not in use; data were compared during a 3-month period before (2014) and a 3-month period after (2015) CDSS installation...
December 22, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29297393/substance-deposition-assessment-in-obstructed-pulmonary-system-through-numerical-characterization-of-airflow-and-inhaled-particles-attributes
#14
Antonios Lalas, Stavros Nousias, Dimitrios Kikidis, Aris Lalos, Gerasimos Arvanitis, Christos Sougles, Konstantinos Moustakas, Konstantinos Votis, Sylvia Verbanck, Omar Usmani, Dimitrios Tzovaras
BACKGROUND: Chronic obstructive pulmonary disease (COPD) and asthma are considered as the two most widespread obstructive lung diseases, whereas they affect more than 500 million people worldwide. Unfortunately, the requirement for detailed geometric models of the lungs in combination with the increased computational resources needed for the simulation of the breathing did not allow great progress to be made in the past for the better understanding of inflammatory diseases of the airways through detailed modelling approaches...
December 20, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29297330/surface-structure-feature-matching-algorithm-for-cardiac-motion-estimation
#15
Zhengrui Zhang, Xuan Yang, Cong Tan, Wei Guo, Guoliang Chen
BACKGROUND: Cardiac diseases represent the leading cause of sudden death worldwide. During the development of cardiac diseases, the left ventricle (LV) changes obviously in structure and function. LV motion estimation plays an important role for diagnosis and treatment of cardiac diseases. To estimate LV motion accurately for cine magnetic resonance (MR) cardiac images, we develop an algorithm by combining point set matching with surface structure features of myocardium. METHODS: The structure features of myocardial wall are described by estimating the normal directions of points locating on the myocardium contours using an approximation approach...
December 20, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29297324/subject-independent-emotion-recognition-based-on-physiological-signals-a-three-stage-decision-method
#16
Jing Chen, Bin Hu, Yue Wang, Philip Moore, Yongqiang Dai, Lei Feng, Zhijie Ding
BACKGROUND: Collaboration between humans and computers has become pervasive and ubiquitous, however current computer systems are limited in that they fail to address the emotional component. An accurate understanding of human emotions is necessary for these computers to trigger proper feedback. Among multiple emotional channels, physiological signals are synchronous with emotional responses; therefore, analyzing physiological changes is a recognized way to estimate human emotions. In this paper, a three-stage decision method is proposed to recognize four emotions based on physiological signals in the multi-subject context...
December 20, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29297321/a-multiple-distributed-representation-method-based-on-neural-network-for-biomedical-event-extraction
#17
Anran Wang, Jian Wang, Hongfei Lin, Jianhai Zhang, Zhihao Yang, Kan Xu
BACKGROUND: Biomedical event extraction is one of the most frontier domains in biomedical research. The two main subtasks of biomedical event extraction are trigger identification and arguments detection which can both be considered as classification problems. However, traditional state-of-the-art methods are based on support vector machine (SVM) with massive manually designed one-hot represented features, which require enormous work but lack semantic relation among words. METHODS: In this paper, we propose a multiple distributed representation method for biomedical event extraction...
December 20, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29297320/automatic-schizophrenic-discrimination-on-fnirs-by-using-complex-brain-network-analysis-and-svm
#18
Hong Song, Lei Chen, RuiQi Gao, Iordachescu Ilie Mihaita Bogdan, Jian Yang, Shuliang Wang, Wentian Dong, Wenxiang Quan, Weimin Dang, Xin Yu
BACKGROUND: Schizophrenia is a kind of serious mental illness. Due to the lack of an objective physiological data supporting and a unified data analysis method, doctors can only rely on the subjective experience of the data to distinguish normal people and patients, which easily lead to misdiagnosis. In recent years, functional Near-Infrared Spectroscopy (fNIRS) has been widely used in clinical diagnosis, it can get the hemoglobin concentration through the variation of optical intensity...
December 20, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29262809/using-medication-utilization-information-to-develop-an-asthma-severity-classification-model
#19
Tsung-Hsien Yu, Pin-Kuei Fu, Yu-Chi Tung
BACKGROUND: Claims data are currently widely used as source data in asthma studies. However, the insufficient information in claims data related to level of asthma severity may negatively impact study findings. The present study develops and validates an asthma severity classification model that uses medication utilization in Taiwan National Health Insurance claims data. METHODS: The National Health Insurance Research Database was used for the years 2006-2012 and included a total of 7221 patients newly diagnosed with asthma in 2007 for model development and in 2008 for model validation...
December 20, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29258594/monitoring-prescribing-patterns-using-regression-and-electronic-health-records
#20
Daniel Backenroth, Herbert S Chase, Ying Wei, Carol Friedman
BACKGROUND: It is beneficial for health care institutions to monitor physician prescribing patterns to ensure that high-quality and cost-effective care is being provided to patients. However, detecting treatment patterns within an institution is challenging, given that medications and conditions are often not explicitly linked in the health record. Here we demonstrate the use of statistical methods together with data from the electronic health care record (EHR) to analyze prescribing patterns at an institution...
December 19, 2017: BMC Medical Informatics and Decision Making
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