Design and evaluation of a mobile application to assist the self-monitoring of the chronic kidney disease in developing countries.

abstract：BACKGROUND:Methods for linking real-world healthcare data often use a latent class model, where the latent, or unknown, class is the true match status of candidate record-pairs. This commonly used model assumes that agreement patterns among multiple fields within a latent class are independent. When this assumption is ...

journal_title：BMC medical informatics and decision making

authors： Daggy JK,Xu H,Hui SL,Gamache RE,Grannis SJ

更新日期：2013-08-30 00:00:00

abstract：:In this editorial, we first summarize the 2018 International Conference on Intelligent Biology and Medicine (ICIBM 2018) that was held on June 10-12, 2018 in Los Angeles, California, USA, and then briefly introduce the six research articles included in this supplement issue. At ICIBM 2018, a special theme of Medical I...

journal_title：BMC medical informatics and decision making

authors： Zhang Y,Tao C,Gong Y,Wang K,Zhao Z

更新日期：2019-01-31 00:00:00

abstract：BACKGROUND:Prior studies demonstrate the suitability of natural language processing (NLP) for identifying pneumonia in chest radiograph (CXR) reports, however, few evaluate this approach in intensive care unit (ICU) patients. METHODS:From a total of 194,615 ICU reports, we empirically developed a lexicon to categorize...

journal_title：BMC medical informatics and decision making

authors： Liu V,Clark MP,Mendoza M,Saket R,Gardner MN,Turk BJ,Escobar GJ

更新日期：2013-08-15 00:00:00

abstract：BACKGROUND:Healthcare providers generate a huge amount of biomedical data stored in either legacy system (paper-based) format or electronic medical records (EMR) around the world, which are collectively referred to as big biomedical data (BBD). To realize the promise of BBD for clinical use and research, it is an essen...

journal_title：BMC medical informatics and decision making

authors： Luo L,Li L,Hu J,Wang X,Hou B,Zhang T,Zhao LP

更新日期：2016-08-30 00:00:00

abstract：BACKGROUND:Machine learning is a branch of Artificial Intelligence that is concerned with the design and development of algorithms, and it enables today's computers to have the property of learning. Machine learning is gradually growing and becoming a critical approach in many domains such as health, education, and bus...

journal_title：BMC medical informatics and decision making

authors： Alloghani M,Aljaaf A,Hussain A,Baker T,Mustafina J,Al-Jumeily D,Khalaf M

更新日期：2019-12-12 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:Antimicrobial prophylaxis is an evidence-proven strategy for reducing procedure-related infections; however, measuring this key quality metric typically requires manual review, due to the way antimicrobial prophylaxis is documented in the electronic medical record (EMR). Our objective was to electronically m...

journal_title：BMC medical informatics and decision making

authors： Mull HJ,Stolzmann K,Kalver E,Shin MH,Schweizer ML,Asundi A,Mehta P,Stanislawski M,Branch-Elliman W

更新日期：2020-01-30 00:00:00

abstract：BACKGROUND:Evidence-based information available at the point of care improves patient care outcomes. Online knowledge bases can increase the application of evidence-based medicine and influence patient outcome data which may be captured in quality registries. The aim of this study was to explore the effect of use of an...

journal_title：BMC medical informatics and decision making

authors： Gerdesköld C,Toth-Pal E,Wårdh I,Nilsson GH,Nager A

更新日期：2020-11-16 00:00:00

abstract：BACKGROUND:Most hospitals keep and update their paper-based medical records after introducing an electronic medical record or a hospital information system (HIS). This case report describes a HIS in a hospital where the paper-based medical records are scanned and eliminated. To evaluate the HIS comprehensively, the per...

journal_title：BMC medical informatics and decision making

authors： Laerum H,Karlsen TH,Faxvaag A

更新日期：2004-10-16 00:00:00

abstract：BACKGROUND:The widespread use of electronic health records (EHRs) has generated massive clinical data storage. Association rules mining is a feasible technique to convert this large amount of data into usable knowledge for clinical decision making, research or billing. We present a data driven method to create a knowle...

journal_title：BMC medical informatics and decision making

authors： Séverac F,Sauleau EA,Meyer N,Lefèvre H,Nisand G,Jay N

更新日期：2015-04-15 00:00:00

abstract：BACKGROUND:The increasing use of common data elements (CDEs) in numerous research projects and clinical applications has made it imperative to create an effective classification scheme for the efficient management of these data elements. We applied high-level integrative modeling of entire clinical documents from real-...

journal_title：BMC medical informatics and decision making

authors： Kim HH,Park YR,Lee KH,Song YS,Kim JH

更新日期：2019-08-20 00:00:00

abstract：BACKGROUND:The maturity and usage of wireless technology has influenced health services, and this has raised expectations from users that healthcare services will become more affordable due to technology growth. There is increasing evidence to justify this expectation, as telehealth is becoming more and more prevalent ...

journal_title：BMC medical informatics and decision making

authors： Gururajan R,Hafeez-Baig A

更新日期：2014-12-23 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:The Personal Patient Profile-Prostate (P3P), a web-based decision aid, was demonstrated to reduce decisional conflict in English-speaking men with localized prostate cancer early after initial diagnosis. The purpose of this study was to explore and enhance usability and cultural appropriateness of a Spanish ...

journal_title：BMC medical informatics and decision making

authors： Berry DL,Halpenny B,Bosco JLF,Bruyere J Jr,Sanda MG

更新日期：2015-07-24 00:00:00

abstract：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, fu...

journal_title：BMC medical informatics and decision making

authors： Song H,Chen L,Gao R,Bogdan IIM,Yang J,Wang S,Dong W,Quan W,Dang W,Yu X

更新日期：2017-12-20 00:00:00

abstract：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 accurate...

journal_title：BMC medical informatics and decision making

authors： Zhang Z,Yang X,Tan C,Guo W,Chen G

更新日期：2017-12-20 00:00:00

abstract：BACKGROUND:Robust, programmatically accessible biomedical information services that syntactically and semantically interoperate with other resources are challenging to construct. Such systems require the adoption of common information models, data representations and terminology standards as well as documented applicat...

journal_title：BMC medical informatics and decision making

authors： Phillips J,Chilukuri R,Fragoso G,Warzel D,Covitz PA

更新日期：2006-01-06 00:00:00

abstract：BACKGROUND:Cognitive aids are increasingly recommended in clinical practice, yet little is known about the attitudes of physicians towards these tools. METHODS:We employed a qualitative, descriptive design to explore physician attitudes towards cognitive aids in pediatric intensive care units (PICUs). Semi-structured ...

journal_title：BMC medical informatics and decision making

authors： Weiss MJ,Kramer C,Tremblay S,Côté L

更新日期：2016-05-21 00:00:00

abstract：BACKGROUND:Healthcare and social care environments are increasingly confronted with older persons with long-term care needs. Consequently, the need for integrated and coordinated assessment systems increases. In Belgium, feasibility studies have been conducted on the implementation and use of interRAI instruments offer...

journal_title：BMC medical informatics and decision making

authors： Vanneste D,Vermeulen B,Declercq A

更新日期：2013-11-27 00:00:00

abstract：BACKGROUND:Better understanding of clinical reasoning could reduce diagnostic error linked to 8% of adverse medical events and 30% of malpractice cases. To a greater extent than the evidence-based movement, the clinical reasoning literature asserts the importance of practitioner intuition—unconscious elements of diagno...

journal_title：BMC medical informatics and decision making

authors： Seidel BM,Campbell S,Bell E

更新日期：2015-03-21 00:00:00

abstract：BACKGROUND:The usefulness of syndromic surveillance for early outbreak detection depends in part on effective statistical aberration detection. However, few published studies have compared different detection algorithms on identical data. In the largest simulation study conducted to date, we compared the performance of...

journal_title：BMC medical informatics and decision making

authors： Jackson ML,Baer A,Painter I,Duchin J

更新日期：2007-03-01 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：:This paper by John D. Keen and James E. Keen addresses a thorny subject. The numerical findings and commentaries in their paper will be disturbing to some readers and seem to defy logic and well established viewpoints. It may well generate angry letters to the editor. However such numerical analysis and reporting incl...

journal_title：BMC medical informatics and decision making

authors： Retsky M

更新日期：2009-04-02 00:00:00

abstract：BACKGROUND:Nowadays more and more clinical guidelines for health care professionals are being developed. However, this does not automatically mean that these guidelines are actually implemented. The aim of this meta-review is twofold: firstly, to gain a better understanding of which factors affect the implementation of...

journal_title：BMC medical informatics and decision making

authors： Francke AL,Smit MC,de Veer AJ,Mistiaen P

更新日期：2008-09-12 00:00:00

abstract：:To answer the need for the rigorous protection of biomedical data, we organized the Critical Assessment of Data Privacy and Protection initiative as a community effort to evaluate privacy-preserving dissemination techniques for biomedical data. We focused on the challenge of sharing aggregate human genomic data (e.g.,...

journal_title：BMC medical informatics and decision making

authors： Jiang X,Zhao Y,Wang X,Malin B,Wang S,Ohno-Machado L,Tang H

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:The Variome corpus, a small collection of published articles about inherited colorectal cancer, includes annotations of 11 entity types and 13 relation types related to the curation of the relationship between genetic variation and disease. Due to the richness of these annotations, the corpus provides a good...

journal_title：BMC medical informatics and decision making

authors： Verspoor KM,Heo GE,Kang KY,Song M

更新日期：2016-07-18 00:00:00

abstract：BACKGROUND:Clinical vignettes are often used to elicit information about health conditions in research studies. This review summarizes the components of clinical vignettes describing Alzheimer's disease (AD) or other dementias. The purpose is to provide recommendations for the development of standardized vignettes that...

journal_title：BMC medical informatics and decision making

authors： Randhawa H,Jiwa A,Oremus M

更新日期：2015-07-15 00:00:00

abstract：BACKGROUND:In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a secure information system to manage data from a target goal of 16,000 subjects who needed to be followed for at least one year. With previous experience in the devel...

journal_title：BMC medical informatics and decision making

authors： Fraser HS,Thomas D,Tomaylla J,Garcia N,Lecca L,Murray M,Becerra MC

更新日期：2012-11-07 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