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BMC Medical Informatics and Decision Making

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https://www.readbyqxmd.com/read/28645285/completeness-and-timeliness-of-notifiable-disease-reporting-a-comparison-of-laboratory-and-provider-reports-submitted-to-a-large-county-health-department
#1
Brian E Dixon, Zuoyi Zhang, Patrick T S Lai, Uzay Kirbiyik, Jennifer Williams, Rebecca Hills, Debra Revere, P Joseph Gibson, Shaun J Grannis
BACKGROUND: Most public health agencies expect reporting of diseases to be initiated by hospital, laboratory or clinic staff even though so-called passive approaches are known to be burdensome for reporters and produce incomplete as well as delayed reports, which can hinder assessment of disease and delay recognition of outbreaks. In this study, we analyze patterns of reporting as well as data completeness and timeliness for traditional, passive reporting of notifiable disease by two distinct sources of information: hospital and clinic staff versus clinical laboratory staff...
June 23, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28645280/erratum-to-multiscalar-cellular-automaton-simulates-in-vivo-tumour-stroma-patterns-calibrated-from-in-vitro-assay-data
#2
J A Delgado-SanMartin, J I Hare, E J Davies, J W T Yates
No abstract text is available yet for this article.
June 23, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28623916/using-record-linkage-to-validate-notification-and-laboratory-data-for-a-more-accurate-assessment-of-notifiable-infectious-diseases
#3
Faye J Lim, Christopher C Blyth, Avram Levy, Parveen Fathima, Nicholas de Klerk, Carolien Giele, Hannah C Moore
BACKGROUND: Infectious disease burden is commonly assessed using notification data. Using retrospective record linkage in Western Australia, we described how well notification data captures laboratory detections of influenza, pertussis and invasive pneumococcal disease (IPD). METHODS: We linked data from the Western Australian Notifiable Infectious Diseases Database (WANIDD) and the PathWest Laboratory Database (PathWest) pertaining to the Triple I birth cohort, born in Western Australia in 1996-2012...
June 17, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28606174/using-multiclass-classification-to-automate-the-identification-of-patient-safety-incident-reports-by-type-and-severity
#4
Ying Wang, Enrico Coiera, William Runciman, Farah Magrabi
BACKGROUND: Approximately 10% of admissions to acute-care hospitals are associated with an adverse event. Analysis of incident reports helps to understand how and why incidents occur and can inform policy and practice for safer care. Unfortunately our capacity to monitor and respond to incident reports in a timely manner is limited by the sheer volumes of data collected. In this study, we aim to evaluate the feasibility of using multiclass classification to automate the identification of patient safety incidents in hospitals...
June 12, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28606080/the-challenges-of-emerging-hiss-in-bridging-the-communication-gaps-among-physicians-and-nurses-in-china-an-interview-study
#5
Dong Wen, Xingting Zhang, Jie Wan, Jing Fu, Jianbo Lei
BACKGROUND: To explore the current situation, existing problems and possible causes of said problems with regards to physician-nurse communication under an environment of increasingly widespread usage of Hospital Information Systems and to seek out new potential strategies in information technology to improve physician-nurse communication. METHODS: Semi-structured interviews were conducted with 20 physicians and nurses in five leading tertiary grade A hospitals in Beijing, China (two physicians and two nurses in each hospital)...
June 12, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28595638/evaluating-privacy-preserving-record-linkage-using-cryptographic-long-term-keys-and-multibit-trees-on-large-medical-datasets
#6
Adrian P Brown, Christian Borgs, Sean M Randall, Rainer Schnell
BACKGROUND: Integrating medical data using databases from different sources by record linkage is a powerful technique increasingly used in medical research. Under many jurisdictions, unique personal identifiers needed for linking the records are unavailable. Since sensitive attributes, such as names, have to be used instead, privacy regulations usually demand encrypting these identifiers. The corresponding set of techniques for privacy-preserving record linkage (PPRL) has received widespread attention...
June 8, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28587608/integrating-clinical-decision-support-systems-for-pharmacogenomic-testing-into-clinical-routine-a-scoping-review-of-designs-of-user-system-interactions-in-recent-system-development
#7
Marc Hinderer, Martin Boeker, Sebastian A Wagner, Martin Lablans, Stephanie Newe, Jan L Hülsemann, Michael Neumaier, Harald Binder, Harald Renz, Till Acker, Hans-Ulrich Prokosch, Martin Sedlmayr
BACKGROUND: Pharmacogenomic clinical decision support systems (CDSS) have the potential to help overcome some of the barriers for translating pharmacogenomic knowledge into clinical routine. Before developing a prototype it is crucial for developers to know which pharmacogenomic CDSS features and user-system interactions have yet been developed, implemented and tested in previous pharmacogenomic CDSS efforts and if they have been successfully applied. We address this issue by providing an overview of the designs of user-system interactions of recently developed pharmacogenomic CDSS...
June 6, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28583127/cmost-an-open-source-framework-for-the-microsimulation-of-colorectal-cancer-screening-strategies
#8
Meher K Prakash, Brian Lang, Henriette Heinrich, Piero V Valli, Peter Bauerfeind, Amnon Sonnenberg, Niko Beerenwinkel, Benjamin Misselwitz
BACKGROUND: Colorectal cancer (CRC) is a leading cause of cancer-related mortality. CRC incidence and mortality can be reduced by several screening strategies, including colonoscopy, but randomized CRC prevention trials face significant obstacles such as the need for large study populations with long follow-up. Therefore, CRC screening strategies will likely be designed and optimized based on computer simulations. Several computational microsimulation tools have been reported for estimating efficiency and cost-effectiveness of CRC prevention...
June 5, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28577543/implementation-of-emental-health-care-viewpoints-from-key-informants-from-organizations-and-agencies-with-ehealth-mandates
#9
Lori Wozney, Amanda S Newton, Nicole D Gehring, Kathryn Bennett, Anna Huguet, Lisa Hartling, Michele P Dyson, Patrick McGrath
BACKGROUND: The use of technology such as computers, tablets, and smartphones to improve access to and the delivery of mental health care (eMental Health care) is growing worldwide. However, despite the rapidly expanding evidence base demonstrating the efficacy of eMental Health care, its implementation in clinical practice and health care systems remains fragmented. To date, no peer-reviewed, key-informant studies have reported on the perspectives of decision-makers concerned with whether and how to implement eMental Health care...
June 2, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28576145/the-impact-of-a-diagnostic-decision-support-system-on-the-consultation-perceptions-of-gps-and-patients
#10
Talya Porat, Brendan Delaney, Olga Kostopoulou
BACKGROUND: Clinical decision support systems (DSS) aimed at supporting diagnosis are not widely used. This is mainly due to usability issues and lack of integration into clinical work and the electronic health record (EHR). In this study we examined the usability and acceptability of a diagnostic DSS prototype integrated with the EHR and in comparison with the EHR alone. METHODS: Thirty-four General Practitioners (GPs) consulted with 6 standardised patients (SPs) using only their EHR system (baseline session); on another day, they consulted with 6 different but matched for difficulty SPs, using the EHR with the integrated DSS prototype (DSS session)...
June 2, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28558785/clinical-decisions-surrounding-genomic-and-proteomic-testing-among-united-states-veterans-treated-for-lung-cancer-within-the-veterans-health-administration
#11
Olga Efimova, Brygida Berse, Daniel W Denhalter, Scott L DuVall, Kelly K Filipski, Michael Icardi, Michael J Kelley, Julie A Lynch
BACKGROUND: Current clinical guidelines recommend epidermal growth factor receptor (EGFR) mutational testing in patients with metastatic non-small cell lung cancer (NSCLC) to predict the benefit of the tyrosine kinase inhibitor erlotinib as first-line treatment. Proteomic (VeriStrat) testing is recommended for patients with EGFR negative or unknown status when erlotinib is being considered. Departure from this clinical algorithm can increase costs and may result in worse outcomes. We examined EGFR and proteomic testing among patients with NSCLC within the Department of Veterans Affairs (VA)...
May 30, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28558757/multiscalar-cellular-automaton-simulates-in-vivo-tumour-stroma-patterns-calibrated-from-in-vitro-assay-data
#12
J A Delgado-SanMartin, J I Hare, E J Davies, J W T Yates
BACKGROUND: The tumour stroma -or tumour microenvironment- is an important constituent of solid cancers and it is thought to be one of the main obstacles to quantitative translation of drug activity between the preclinical and clinical phases of drug development. The tumour-stroma relationship has been described as being both pro- and antitumour in multiple studies. However, the causality of this complex biological relationship between the tumour and stroma has not yet been explored in a quantitative manner in complex tumour morphologies...
May 30, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28558687/bibliometric-analysis-of-worldwide-scientific-literature-in-mobile-health-2006-2016
#13
Waleed M Sweileh, Samah W Al-Jabi, Adham S AbuTaha, Sa'ed H Zyoud, Fathi M A Anayah, Ansam F Sawalha
BACKGROUND: The advancement of mobile technology had positively influenced healthcare services. An emerging subfield of mobile technology is mobile health (m-Health) in which mobile applications are used for health purposes. The aim of this study was to analyze and assess literature published in the field of m-Health. METHODS: SciVerse Scopus was used to retrieve literature in m-Health. The study period was set from 2006 to 2016. ArcGIS 10.1 was used to present geographical distribution of publications while VOSviewer was used for data visualization...
May 30, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28532470/health-care-professionals-attitudes-towards-evidence-based-medicine-in-the-workers-compensation-setting-a-cohort-study
#14
Nieke A Elbers, Robin Chase, Ashley Craig, Lyn Guy, Ian A Harris, James W Middleton, Michael K Nicholas, Trudy Rebbeck, John Walsh, Simon Willcock, Keri Lockwood, Ian D Cameron
BACKGROUND: Problems may arise during the approval process of treatment after a compensable work injury, which include excess paperwork, delays in approving services, disputes, and allegations of over-servicing. This is perceived as undesirable for injured people, health care professionals and claims managers, and costly to the health care system, compensation system, workplaces and society. Introducing an Evidence Based Medicine (EBM) decision tool in the workers' compensation system could provide a partial solution, by reducing uncertainty about effective treatment...
May 22, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28539126/knowledge-driven-binning-approach-for-rare-variant-association-analysis-application-to-neuroimaging-biomarkers-in-alzheimer-s-disease
#15
Dokyoon Kim, Anna O Basile, Lisa Bang, Emrin Horgusluoglu, Seunggeun Lee, Marylyn D Ritchie, Andrew J Saykin, Kwangsik Nho
BACKGROUND: Rapid advancement of next generation sequencing technologies such as whole genome sequencing (WGS) has facilitated the search for genetic factors that influence disease risk in the field of human genetics. To identify rare variants associated with human diseases or traits, an efficient genome-wide binning approach is needed. In this study we developed a novel biological knowledge-based binning approach for rare-variant association analysis and then applied the approach to structural neuroimaging endophenotypes related to late-onset Alzheimer's disease (LOAD)...
May 18, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28539124/disease-causality-extraction-based-on-lexical-semantics-and-document-clause-frequency-from-biomedical-literature
#16
Dong-Gi Lee, Hyunjung Shin
BACKGROUND: Recently, research on human disease network has succeeded and has become an aid in figuring out the relationship between various diseases. In most disease networks, however, the relationship between diseases has been simply represented as an association. This representation results in the difficulty of identifying prior diseases and their influence on posterior diseases. In this paper, we propose a causal disease network that implements disease causality through text mining on biomedical literature...
May 18, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28539122/an-inference-method-from-multi-layered-structure-of-biomedical-data
#17
Myungjun Kim, Yonghyun Nam, Hyunjung Shin
BACKGROUND: Biological system is a multi-layered structure of omics with genome, epigenome, transcriptome, metabolome, proteome, etc., and can be further stretched to clinical/medical layers such as diseasome, drugs, and symptoms. One advantage of omics is that we can figure out an unknown component or its trait by inferring from known omics components. The component can be inferred by the ones in the same level of omics or the ones in different levels. METHODS: To implement the inference process, an algorithm that can be applied to the multi-layered complex system is required...
May 18, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28539121/network-mirroring-for-drug-repositioning
#18
Sunghong Park, Dong-Gi Lee, Hyunjung Shin
BACKGROUND: Although drug discoveries can provide meaningful insights and significant enhancements in pharmaceutical field, the longevity and cost that it takes can be extensive where the success rate is low. In order to circumvent the problem, there has been increased interest in 'Drug Repositioning' where one searches for already approved drugs that have high potential of efficacy when applied to other diseases. To increase the success rate for drug repositioning, one considers stepwise screening and experiments based on biological reactions...
May 18, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28539116/modeling-long-term-human-activeness-using-recurrent-neural-networks-for-biometric-data
#19
Zae Myung Kim, Hyungrai Oh, Han-Gyu Kim, Chae-Gyun Lim, Kyo-Joong Oh, Ho-Jin Choi
BACKGROUND: With the invention of fitness trackers, it has been possible to continuously monitor a user's biometric data such as heart rates, number of footsteps taken, and amount of calories burned. This paper names the time series of these three types of biometric data, the user's "activeness", and investigates the feasibility in modeling and predicting the long-term activeness of the user. METHODS: The dataset used in this study consisted of several months of biometric time-series data gathered by seven users independently...
May 18, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28539115/quad-phased-data-mining-modeling-for-dementia-diagnosis
#20
Sunjoo Bang, Sangjoon Son, Hyunwoong Roh, Jihye Lee, Sungyun Bae, Kyungwon Lee, Changhyung Hong, Hyunjung Shin
BACKGROUND: The number of people with dementia is increasing along with people's ageing trend worldwide. Therefore, there are various researches to improve a dementia diagnosis process in the field of computer-aided diagnosis (CAD) technology. The most significant issue is that the evaluation processes by physician which is based on medical information for patients and questionnaire from their guardians are time consuming, subjective and prone to error. This problem can be solved by an overall data mining modeling, which subsidizes an intuitive decision of clinicians...
May 18, 2017: BMC Medical Informatics and Decision Making
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