journal
MENU ▼
Read by QxMD icon Read
search

BMC Medical Informatics and Decision Making

journal
https://www.readbyqxmd.com/read/28806954/-usability-of-data-integration-and-visualization-software-for-multidisciplinary-pediatric-intensive-care-a-human-factors-approach-to-assessing-technology
#1
Ying Ling Lin, Anne-Marie Guerguerian, Jessica Tomasi, Peter Laussen, Patricia Trbovich
BACKGROUND: Intensive care clinicians use several sources of data in order to inform decision-making. We set out to evaluate a new interactive data integration platform called T3™ made available for pediatric intensive care. Three primary functions are supported: tracking of physiologic signals, displaying trajectory, and triggering decisions, by highlighting data or estimating risk of patient instability. We designed a human factors study to identify interface usability issues, to measure ease of use, and to describe interface features that may enable or hinder clinical tasks...
August 14, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28806953/a-fast-healthcare-interoperability-resources-fhir-layer-implemented-over-i2b2
#2
Abdelali Boussadi, Eric Zapletal
BACKGROUND: Standards and technical specifications have been developed to define how the information contained in Electronic Health Records (EHRs) should be structured, semantically described, and communicated. Current trends rely on differentiating the representation of data instances from the definition of clinical information models. The dual model approach, which combines a reference model (RM) and a clinical information model (CIM), sets in practice this software design pattern. The most recent initiative, proposed by HL7, is called Fast Health Interoperability Resources (FHIR)...
August 14, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28806936/enhancement-of-hepatitis-virus-immunoassay-outcome-predictions-in-imbalanced-routine-pathology-data-by-data-balancing-and-feature-selection-before-the-application-of-support-vector-machines
#3
Alice M Richardson, Brett A Lidbury
BACKGROUND: Data mining techniques such as support vector machines (SVMs) have been successfully used to predict outcomes for complex problems, including for human health. Much health data is imbalanced, with many more controls than positive cases. METHODS: The impact of three balancing methods and one feature selection method is explored, to assess the ability of SVMs to classify imbalanced diagnostic pathology data associated with the laboratory diagnosis of hepatitis B (HBV) and hepatitis C (HCV) infections...
August 14, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28797295/exploring-differences-in-the-use-of-the-statin-choice-decision-aid-and-diabetes-medication-choice-decision-aid-in-primary-care
#4
Aimee Yu Ballard, Maya Kessler, Marianne Scheitel, Victor M Montori, Rajeev Chaudhry
BACKGROUND: Shared decision making is essential to patient centered care, but can be difficult for busy clinicians to implement into practice. Tools have been developed to aid in shared decision making and embedded in electronic medical records (EMRs) to facilitate use. This study was undertaken to explore the patterns of use and barriers and facilitators to use of two decision aids, the Statin Choice Decision Aid (SCDA) and the Diabetes Medication Choice Decision Aid (DMCDA), in primary care practices where the decision aids are embedded in the EMR...
August 10, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28797293/health-care-providers-perceptions-of-use-and-influence-of-clinical-decision-support-reminders-qualitative-study-following-a-randomized-trial-to-improve-hpv-vaccination-rates
#5
Brian E Dixon, Monica L Kasting, Shannon Wilson, Amit Kulkarni, Gregory D Zimet, Stephen M Downs
BACKGROUND: Human Papillomavirus (HPV) leads to serious health issues and remains the most common sexually transmitted infection. Despite availability of effective vaccines, HPV vaccination rates are suboptimal. Furthermore, providers recommend the HPV vaccine less than half the time for eligible patients. Prior informatics research has demonstrated the effectiveness of computer-based clinical decision support (CDS) in changing provider behavior, especially in the area of preventative services...
August 10, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28789686/developing-a-cardiovascular-disease-risk-factor-annotated-corpus-of-chinese-electronic-medical-records
#6
Jia Su, Bin He, Yi Guan, Jingchi Jiang, Jinfeng Yang
BACKGROUND: Cardiovascular disease (CVD) has become the leading cause of death in China, and most of the cases can be prevented by controlling risk factors. The goal of this study was to build a corpus of CVD risk factor annotations based on Chinese electronic medical records (CEMRs). This corpus is intended to be used to develop a risk factor information extraction system that, in turn, can be applied as a foundation for the further study of the progress of risk factors and CVD. RESULTS: We designed a light annotation task to capture CVD risk factors with indicators, temporal attributes and assertions that were explicitly or implicitly displayed in the records...
August 8, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28784115/routine-health-information-system-utilization-and-factors-associated-thereof-among-health-workers-at-government-health-institutions-in-east-gojjam-zone-northwest-ethiopia
#7
Atsede Mazengia Shiferaw, Dessalegn Tegabu Zegeye, Solomon Assefa, Melaku Kindie Yenit
BACKGROUND: Using reliable information from routine health information systems over time is an important aid to improving health outcomes, tackling disparities, enhancing efficiency, and encouraging innovation. In Ethiopia, routine health information utilization for enhancing performance is poor among health workers, especially at the peripheral levels of health facilities. Therefore, this study aimed to assess routine health information system utilization and associated factors among health workers at government health institutions in East Gojjam Zone, Northwest Ethiopia...
August 7, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28774329/feature-selection-through-validation-and-un-censoring-of-endovascular-repair-survival-data-for-predicting-the-risk-of-re-intervention
#8
Omneya Attallah, Alan Karthikesalingam, Peter J E Holt, Matthew M Thompson, Rob Sayers, Matthew J Bown, Eddie C Choke, Xianghong Ma
BACKGROUND: Feature selection (FS) process is essential in the medical area as it reduces the effort and time needed for physicians to measure unnecessary features. Choosing useful variables is a difficult task with the presence of censoring which is the unique characteristic in survival analysis. Most survival FS methods depend on Cox's proportional hazard model; however, machine learning techniques (MLT) are preferred but not commonly used due to censoring. Techniques that have been proposed to adopt MLT to perform FS with survival data cannot be used with the high level of censoring...
August 3, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28768511/german-dentists-websites-on-periodontitis-have-low-quality-of-information
#9
Falk Schwendicke, Jörg Stange, Claudia Stange, Christian Graetz
BACKGROUND: The internet is an increasingly relevant source of health information. We aimed to assess the quality of German dentists' websites on periodontitis, hypothesizing that it was significantly associated with a number of practice-specific parameters. METHODS: We searched four electronic search engines and included pages which were freely accessible, posted by a dental practice in Germany, and mentioned periodontal disease/therapy. Websites were assessed for (1) technical and functional aspects, (2) generic quality and risk of bias, (3) disease-specific information...
August 2, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28764766/physicians-pharmacogenomics-information-needs-and-seeking-behavior-a-study-with-case-vignettes
#10
Bret S E Heale, Aly Khalifa, Bryan L Stone, Scott Nelson, Guilherme Del Fiol
BACKGROUND: Genetic testing, especially in pharmacogenomics, can have a major impact on patient care. However, most physicians do not feel that they have sufficient knowledge to apply pharmacogenomics to patient care. Online information resources can help address this gap. We investigated physicians' pharmacogenomics information needs and information-seeking behavior, in order to guide the design of pharmacogenomics information resources that effectively meet clinical information needs...
August 1, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28764688/developing-a-patient-decision-aid-for-the-treatment-of-women-with-early-stage-breast-cancer-the-struggle-between-simplicity-and-complexity
#11
W Savelberg, T van der Weijden, L Boersma, M Smidt, C Willekens, A Moser
BACKGROUND: A patient decision aid (PtDA) can support shared decision making (SDM) in preference-sensitive care, with more than one clinically applicable treatment option. The development of a PtDA is a complex process, involving several steps, such as designing, developing and testing the draft with all the stakeholders, known as alpha testing. This is followed by testing in 'real life' situations, known as beta testing, and then finalising the definite version. Our aim was developing and alpha testing a PtDA for primary treatment of early stage breast cancer, ensuring that the tool is considered relevant, valid and feasible by patients and professionals...
August 1, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28724368/utilizing-patient-data-from-the-veterans-administration-electronic-health-record-to-support-web-based-clinical-decision-support-informatics-challenges-and-issues-from-three-clinical-domains
#12
Nallakkandi Rajeevan, Kristina M Niehoff, Peter Charpentier, Forrest L Levin, Amy Justice, Cynthia A Brandt, Terri R Fried, Perry L Miller
BACKGROUND: The US Veterans Administration (VA) has developed a robust and mature computational infrastructure in support of its electronic health record (EHR). Web technology offers a powerful set of tools for structuring clinical decision support (CDS) around clinical care. This paper describes informatics challenges and design issues that were confronted in the process of building three Web-based CDS systems in the context of the VA EHR. METHODS: Over the course of several years, we implemented three Web-based CDS systems that extract patient data from the VA EHR environment to provide patient-specific CDS...
July 19, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28724366/predicting-progression-of-mild-cognitive-impairment-to-dementia-using-neuropsychological-data-a-supervised-learning-approach-using-time-windows
#13
Telma Pereira, Luís Lemos, Sandra Cardoso, Dina Silva, Ana Rodrigues, Isabel Santana, Alexandre de Mendonça, Manuela Guerreiro, Sara C Madeira
BACKGROUND: Predicting progression from a stage of Mild Cognitive Impairment to dementia is a major pursuit in current research. It is broadly accepted that cognition declines with a continuum between MCI and dementia. As such, cohorts of MCI patients are usually heterogeneous, containing patients at different stages of the neurodegenerative process. This hampers the prognostic task. Nevertheless, when learning prognostic models, most studies use the entire cohort of MCI patients regardless of their disease stages...
July 19, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28720103/an-information-and-communication-technology-based-centralized-clinical-trial-to-determine-the-efficacy-and-safety-of-insulin-dose-adjustment-education-based-on-a-smartphone-personal-health-record-application-a-randomized-controlled-trial
#14
Gyuri Kim, Ji Cheol Bae, Byoung Kee Yi, Kyu Yeon Hur, Dong Kyung Chang, Moon-Kyu Lee, Jae Hyeon Kim, Sang-Man Jin
BACKGROUND: A Personal Health Record (PHR) is an online application that allows patients to access, manage, and share their health data. PHRs not only enhance shared decision making with healthcare providers, but also enable remote monitoring and at-home-collection of detailed data. The benefits of PHRs can be maximized in insulin dose adjustment for patients starting or intensifying insulin regimens, as frequent self-monitoring of glucose, self-adjustment of insulin dose, and precise at-home data collection during the visit-to-visit period are important for glycemic control...
July 18, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28716074/evaluation-of-record-linkage-of-two-large-administrative-databases-in-a-middle-income-country-stillbirths-and-notifications-of-dengue-during-pregnancy-in-brazil
#15
Enny S Paixão, Katie Harron, Kleydson Andrade, Maria Glória Teixeira, Rosemeire L Fiaccone, Maria da Conceição N Costa, Laura C Rodrigues
BACKGROUND: Due to the increasing availability of individual-level information across different electronic datasets, record linkage has become an efficient and important research tool. High quality linkage is essential for producing robust results. The objective of this study was to describe the process of preparing and linking national Brazilian datasets, and to compare the accuracy of different linkage methods for assessing the risk of stillbirth due to dengue in pregnancy. METHODS: We linked mothers and stillbirths in two routinely collected datasets from Brazil for 2009-2010: for dengue in pregnancy, notifications of infectious diseases (SINAN); for stillbirths, mortality (SIM)...
July 17, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28709453/validation-of-multisource-electronic-health-record-data-an-application-to-blood-transfusion-data
#16
Loan R van Hoeven, Martine C de Bruijne, Peter F Kemper, Maria M W Koopman, Jan M M Rondeel, Anja Leyte, Hendrik Koffijberg, Mart P Janssen, Kit C B Roes
BACKGROUND: Although data from electronic health records (EHR) are often used for research purposes, systematic validation of these data prior to their use is not standard practice. Existing validation frameworks discuss validity concepts without translating these into practical implementation steps or addressing the potential influence of linking multiple sources. Therefore we developed a practical approach for validating routinely collected data from multiple sources and to apply it to a blood transfusion data warehouse to evaluate the usability in practice...
July 14, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28693548/using-a-linked-database-for-epidemiology-across-the-primary-and-secondary-care-divide-acute-kidney-injury
#17
M Johnson, H Hounkpatin, S Fraser, D Culliford, M Uniacke, P Roderick
BACKGROUND: NHS England has mandated the use in hospital laboratories of an automated early warning algorithm to create a consistent method for the detection of acute kidney injury (AKI). It generates an 'alert' based on changes in serum creatinine level to notify attending clinicians of a possible incident case of the condition, and to provide an assessment of its severity. We aimed to explore the feasibility of secondary data analysis to reproduce the algorithm outside of the hospital laboratory, and to describe the epidemiology of AKI across primary and secondary care within a region...
July 11, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28693480/utility-preserving-anonymization-for-health-data-publishing
#18
Hyukki Lee, Soohyung Kim, Jong Wook Kim, Yon Dohn Chung
BACKGROUND: Publishing raw electronic health records (EHRs) may be considered as a breach of the privacy of individuals because they usually contain sensitive information. A common practice for the privacy-preserving data publishing is to anonymize the data before publishing, and thus satisfy privacy models such as k-anonymity. Among various anonymization techniques, generalization is the most commonly used in medical/health data processing. Generalization inevitably causes information loss, and thus, various methods have been proposed to reduce information loss...
July 11, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28693472/hospital-staffs-perceptions-of-an-electronic-program-to-engage-patients-in-nutrition-care-at-the-bedside-a-qualitative-study
#19
Shelley Roberts, Andrea Marshall, Wendy Chaboyer
BACKGROUND: Advancements in technology are enabling patients to participate in their health care through self-monitoring and self-management of diet, exercise and chronic disease. Technologies allowing patients to participate in hospital care are still emerging but show promise. Our team is developing a program by which hospitalised patients can participate in their nutrition care. This study explores hospital staffs' perceptions of using this technology to engage patients in their care...
July 11, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28693559/medical-diagnosis-as-a-linguistic-game
#20
Peter Fritz, Andreas Kleinhans, Florian Kuisle, Patricius Albu, Christine Fritz-Kuisle, Mark Dominik Alscher
BACKGROUND: We present a formalized medical knowledge system using a linguistic approach combined with a semantic net. METHOD: Diseases are defined and coded by natural linguistic terms and linked via a complex network of attributes, categories, classes, lists and other semantic conditions. RESULTS: We have isolated more than 4600 disease entities (termed pathosoms using a made-up word) with more than 100.000 attributes sets (termed pathophemes using a made-up word) and a semantic net with more than 140...
July 10, 2017: BMC Medical Informatics and Decision Making
journal
journal
39212
1
2
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"