EURISWEB--Web-based epidemiological surveillance of antibiotic-resistant pneumococci in day care centers.

abstract：BACKGROUND:Many healthcare databases have been routinely collected over the past decades, to support clinical practice and administrative services. However, their secondary use for research is often hindered by restricted governance rules. Furthermore, health research studies typically involve many participants with co...

journal_title：BMC medical informatics and decision making

authors： Almeida JR,Gini R,Roberto G,Rijnbeek P,Oliveira JL

更新日期：2019-07-02 00:00:00

abstract：BACKGROUND:Simulation applications on operations management in hospitals are frequently published and claim to support decision-making on operations management subjects. However, the reported implementation rates of recommendations are low and the actual impact of the changes recommended by the modeler has hardly been ...

journal_title：BMC medical informatics and decision making

authors： van Lent WA,Vanberkel P,van Harten WH

更新日期：2012-03-14 00:00:00

abstract：BACKGROUND:Patients with a prolonged intensive care unit (ICU) length of stay account for a disproportionate amount of resource use. Early identification of patients at risk for a prolonged length of stay can lead to quality enhancements that reduce ICU stay. This study developed and validated a model that identifies p...

journal_title：BMC medical informatics and decision making

authors： Kramer AA,Zimmerman JE

更新日期：2010-05-13 00:00:00

abstract：BACKGROUND:Diagnosis of neuromuscular diseases in primary care is often challenging. Rare diseases such as Pompe disease are easily overlooked by the general practitioner. We therefore aimed to develop a diagnostic support tool using patient-oriented questions and combined data mining algorithms recognizing answer patt...

journal_title：BMC medical informatics and decision making

authors： Grigull L,Lechner W,Petri S,Kollewe K,Dengler R,Mehmecke S,Schumacher U,Lücke T,Schneider-Gold C,Köhler C,Güttsches AK,Kortum X,Klawonn F

更新日期：2016-03-08 00:00:00

abstract：BACKGROUND:Large healthcare databases, with their ability to collect many variables from daily medical practice, greatly enable health services research. These longitudinal databases provide large cohorts and longitudinal time frames, allowing for highly pragmatic assessment of healthcare delivery. The purpose of this ...

journal_title：BMC medical informatics and decision making

authors： Rhon DI,Clewley D,Young JL,Sissel CD,Cook CE

更新日期：2018-01-31 00:00:00

abstract：BACKGROUND:Chronic diseases affect millions of children worldwide leading to substantial disease burden to the children and their families as well as escalating health care costs. The increasing trend in the prevalence of complex pediatric chronic diseases requires innovative and optimal delivery of care. Biomedical in...

journal_title：BMC medical informatics and decision making

authors： Moeinedin F,Moineddin R,Jadad AR,Hamid JS,To T,Beyene J

更新日期：2009-05-05 00:00:00

abstract：BACKGROUND:This study implemented and evaluated a point-of-care, wireless Internet access using smart phones for information retrieval during daily clinical rounds and academic activities of internal medicine residents in a community hospital. We did the project to assess the feasibility of using smart phones as an alt...

journal_title：BMC medical informatics and decision making

authors： León SA,Fontelo P,Green L,Ackerman M,Liu F

更新日期：2007-02-21 00:00:00

abstract：BACKGROUND:Identifying implausible clinical observations (e.g., laboratory test and vital sign values) in Electronic Health Record (EHR) data using rule-based procedures is challenging. Anomaly/outlier detection methods can be applied as an alternative algorithmic approach to flagging such implausible values in EHRs. ...

journal_title：BMC medical informatics and decision making

authors： Estiri H,Klann JG,Murphy SN

更新日期：2019-07-23 00:00:00

abstract：BACKGROUND:The global age-adjusted mortality rate related to atrial fibrillation (AF) registered a rapid growth in the last four decades, i.e., from 0.8 to 1.6 and 0.9 to 1.7 per 100,000 for men and women during 1990-2010, respectively. In this context, this study uses convolutional neural networks for classifying (dia...

journal_title：BMC medical informatics and decision making

authors： Lee KS,Jung S,Gil Y,Son HS

更新日期：2019-10-29 00:00:00

abstract：BACKGROUND:The storage and distribution of electrocardiogram data is based on different formats. There is a need to promote the development of standards for their exchange and analysis. Such models should be platform-/ system- and application-independent, flexible and open to every member of the scientific community. ...

journal_title：BMC medical informatics and decision making

authors： Wang H,Azuaje F,Jung B,Black N

更新日期：2003-05-07 00:00:00

abstract：BACKGROUND:This paper presents a conditional random fields (CRF) method that enables the capture of specific high-order label transition factors to improve clinical named entity recognition performance. Consecutive clinical entities in a sentence are usually separated from each other, and the textual descriptions in cl...

journal_title：BMC medical informatics and decision making

authors： Lee W,Choi J

更新日期：2019-07-15 00:00:00

abstract：BACKGROUND:Hand hygiene is one of the most effective attempts to control nosocomial infections, and it is an important measure to avoid the transmission of pathogens. However, the compliance of healthcare workers (HCWs) with hand washing is still poor worldwide. Herein, we aimed to determine the best hand hygiene prefe...

journal_title：BMC medical informatics and decision making

authors： Suner A,Oruc OE,Buke C,Ozkaya HD,Kitapcioglu G

更新日期：2017-08-31 00:00:00

abstract：BACKGROUND:Adopting mobile electronic medical record (MEMR) systems is expected to be one of the superior approaches for improving nurses' bedside and point of care services. However, nurses may use the functions for far fewer tasks than the MEMR supports. This may depend on their technological personality associated t...

journal_title：BMC medical informatics and decision making

authors： Kuo KM,Liu CF,Ma CC

更新日期：2013-08-12 00:00:00

abstract：BACKGROUND:Health Information Organizations (HIOs) are third party organizations that facilitate electronic health information exchange (HIE) between providers in a geographic area. Despite benefits from HIE, HIOs have struggled to form and subsequently gain broad provider participation. We sought to assess whether mar...

journal_title：BMC medical informatics and decision making

authors： Lin SC,Adler-Milstein J

更新日期：2018-05-08 00:00:00

abstract：BACKGROUND:Research on the development and functioning of technology platforms specifically for health applications in sub-Saharan Africa (SSA), is limited. The healthcare sector has also been resistant to platform adoption due to characteristics such as sensitive data and high cost of failure. A framework for the desi...

journal_title：BMC medical informatics and decision making

authors： Herman H,Grobbelaar SS,Pistorius C

更新日期：2020-03-12 00:00:00

abstract：BACKGROUND:Access to and use of digital technology are more common among people of more advantaged socioeconomic status. These differences might be due to lack of interest, not having physical access or having lower intentions to use this technology. By integrating the digital divide approach and the User Acceptance of...

journal_title：BMC medical informatics and decision making

authors： Paccoud I,Baumann M,Le Bihan E,Pétré B,Breinbauer M,Böhme P,Chauvel L,Leist AK

更新日期：2021-01-13 00:00:00

abstract：BACKGROUND:The District Health Information Software-2 (DHIS2) is widely used by countries for national-level aggregate reporting of health-data. To best leverage DHIS2 data for decision-making, countries need to ensure that data within their systems are of the highest quality. Comprehensive, systematic, and transparent...

journal_title：BMC medical informatics and decision making

authors： Gesicho MB,Were MC,Babic A

更新日期：2020-11-13 00:00:00

abstract：BACKGROUND:Text mining and natural language processing of clinical text, such as notes from electronic health records, requires specific consideration of the specialized characteristics of these texts. Deep learning methods could potentially mitigate domain specific challenges such as limited access to in-domain tools ...

journal_title：BMC medical informatics and decision making

authors： Weegar R,Pérez A,Casillas A,Oronoz M

更新日期：2019-12-23 00:00:00

abstract：BACKGROUND:Given an increased global prevalence of complementary and alternative medicine (CAM) use, healthcare providers commonly seek CAM-related health information online. Numerous online resources containing CAM-specific information exist, many of which are readily available/accessible, containing information share...

journal_title：BMC medical informatics and decision making

authors： Ng JY,Munford V,Thakar H

更新日期：2020-11-09 00:00:00

abstract：BACKGROUND:Approximately 20% of deaths in the US each year are attributable to smoking, yet current practices in the recording of this health risk in electronic health records (EHRs) have not led to discernable changes in health outcomes. Several groups have developed algorithms for extracting smoking behaviors from cl...

journal_title：BMC medical informatics and decision making

authors： Palmer EL,Higgins J,Hassanpour S,Sargent J,Robinson CM,Doherty JA,Onega T

更新日期：2019-07-25 00:00:00

abstract：BACKGROUND:Discharge planning is a care process that aims to secure the transfer of care for the patient at transition from home to the hospital and back home. Information exchange and collaboration between care providers are essential, but deficits are common. A wide range of initiatives to improve the discharge plann...

journal_title：BMC medical informatics and decision making

authors： Nordmark S,Zingmark K,Lindberg I

更新日期：2016-04-27 00:00:00

abstract：BACKGROUND:Identifying subtypes of complex diseases such as cancer is the very first step toward developing highly customized therapeutics on such diseases, as their origins significantly vary even with similar physiological characteristics. There have been many studies to recognize subtypes of various cancer based on ...

journal_title：BMC medical informatics and decision making

authors： Jung S

更新日期：2016-07-18 00:00:00

abstract：BACKGROUND:With wide applications of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS), statistical comparison of serum peptide profiles and management of patients information play ...

journal_title：BMC medical informatics and decision making

authors： Cao Y,Wang N,Ying X,Li A,Wang H,Zhang X,Li W

更新日期：2009-02-17 00:00:00

abstract：BACKGROUND:Technological support using e-health mobile applications (m-health) is a promising strategy to improve the adherence to healthy lifestyles in breast cancer survivors (excess in energy intake or low physical activity are determinants of the risk of recurrence, second cancers and cancer mortality). Moreover, c...

journal_title：BMC medical informatics and decision making

authors： Lozano-Lozano M,Martín-Martín L,Galiano-Castillo N,Álvarez-Salvago F,Cantarero-Villanueva I,Fernández-Lao C,Sánchez-Salado C,Arroyo-Morales M

更新日期：2016-11-25 00:00:00

abstract：BACKGROUND:The quantitative study of the publication output (bibliometrics) deeply influences how scientific work is perceived (bibliometric visibility). Recently, new bibliometric indices and databases have been established, which may change the visibility of disciplines, institutions and individuals. This study exami...

journal_title：BMC medical informatics and decision making

authors： Spreckelsen C,Deserno TM,Spitzer K

更新日期：2011-04-15 00:00:00

abstract：BACKGROUND:Emergency room reports pose specific challenges to natural language processing techniques. In this setting, violence episodes on women, elderly and children are often under-reported. Categorizing textual descriptions as containing violence-related injuries (V) vs. non-violence-related injuries (NV) is thus a...

journal_title：BMC medical informatics and decision making

authors： Mensa E,Colla D,Dalmasso M,Giustini M,Mamo C,Pitidis A,Radicioni DP

更新日期：2020-10-15 00:00:00

abstract：BACKGROUND:Although regulatory compliance in academic research is enforced by law to ensure high quality and safety to participants, its implementation is frequently hindered by cost and logistical barriers. In order to decrease these barriers, we have developed a Web-based application, Duke Surgery Research Central (D...

journal_title：BMC medical informatics and decision making

authors： Pietrobon R,Shah A,Kuo P,Harker M,McCready M,Butler C,Martins H,Moorman CT,Jacobs DO

更新日期：2006-07-27 00:00:00

abstract：BACKGROUND:Named entity recognition (NER) is an important task in clinical natural language processing (NLP) research. Machine learning (ML) based NER methods have shown good performance in recognizing entities in clinical text. Algorithms and features are two important factors that largely affect the performance of ML...

journal_title：BMC medical informatics and decision making

authors： Tang B,Cao H,Wu Y,Jiang M,Xu H

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:A UK Register of people with Multiple Sclerosis has been developed to address the need for an increased knowledge-base about MS. The Register is being populated via: a web-based portal; NHS neurology clinical systems; and administrative data sources. The data are de-identified and linked at the individual le...

journal_title：BMC medical informatics and decision making

authors： Ford DV,Jones KH,Middleton RM,Lockhart-Jones H,Maramba ID,Noble GJ,Osborne LA,Lyons RA

更新日期：2012-07-18 00:00:00

abstract：BACKGROUND:A major problem patients encounter when reading about health related issues is document interpretation, which limits reading comprehension and therefore negatively impacts health care. Currently, searching for medical definitions from an external source is time consuming, distracting, and negatively impacts ...

journal_title：BMC medical informatics and decision making

authors： Gradie PR,Litster M,Thomas R,Vyas J,Schiller MR

更新日期：2011-01-25 00:00:00