Comments on John D. Keen and James E. Keen, What is the point: will screening mammography save my life? BMC Medical Informatics and Decision Making, 2009.

abstract：BACKGROUND:The Personal Patient Profile-Prostate (P3P) is a web-based decision support system for men newly diagnosed with localized prostate cancer that has demonstrated efficacy in reducing decisional conflict. Our objective was to estimate willingness-to-pay (WTP) for men's decisional preparation activities. METHOD...

journal_title：BMC medical informatics and decision making

authors： Wilson LS,Blonquist TM,Hong F,Halpenny B,Wolpin S,Chang P,Filson CP,Master VA,Sanda MG,Chien GW,Jones RA,Krupski TL,Berry DL

更新日期：2019-01-09 00:00:00

abstract：BACKGROUND:Microcontact datasets gathered automatically by electronic devices have the potential augment the study of the spread of contagious disease by providing detailed representations of the study population's contact dynamics. However, the impact of data collection experimental design on the subsequent simulation...

journal_title：BMC medical informatics and decision making

authors： Hashemian M,Qian W,Stanley KG,Osgood ND

更新日期：2012-11-15 00:00:00

abstract：BACKGROUND:Systematic review (SR) of randomized controlled trials (RCT) is the gold standard for informing treatment choice. Decision analyses (DA) also play an important role in informing health care decisions. It is unknown how often the results of DA and matching SR of RCTs are in concordance. We assessed whether th...

journal_title：BMC medical informatics and decision making

authors： Mhaskar RS,Wao H,Mahony H,Kumar A,Djulbegovic B

更新日期：2014-07-15 00:00:00

abstract：BACKGROUND:The purpose of this study was to assess the impact of accessing primary care records on unscheduled care. Unscheduled care is typically delivered in hospital Emergency Departments. Studies published to December 2014 reporting on primary care record access during unscheduled care were retrieved. RESULTS:Twen...

journal_title：BMC medical informatics and decision making

authors： Bowden T,Coiera E

更新日期：2017-09-22 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:Routine Health Information Systems (RHIS) of low-income countries function below the globally expected standard, characterised by the production and use of poor-quality data, or the non-use of good quality data for informed decision making. This has negatively influenced the health service delivery and uptak...

journal_title：BMC medical informatics and decision making

authors： Nguefack-Tsague G,Tamfon BB,Ngnie-Teta I,Ngoufack MN,Keugoung B,Bataliack SM,Bilounga Ndongo C

更新日期：2020-12-17 00:00:00

abstract：BACKGROUND:Adverse drug events (ADEs) often occur as a result of drug-drug interactions (DDIs). The use of data mining for detecting effects of drug combinations on ADE has attracted growing attention and interest, however, most studies focused on analyzing pairwise DDIs. Recent efforts have been made to explore the di...

journal_title：BMC medical informatics and decision making

authors： Yao X,Tsang T,Sun Q,Quinney S,Zhang P,Ning X,Li L,Shen L

更新日期：2020-03-18 00:00:00

abstract：BACKGROUND:Shared decision-making (SDM) is considered a key component of high quality cancer care and may be supported by patient decision aids (PtDAs). Many patients, however, face multiple social disadvantages that may influence their ability to fully participate in SDM or to use PtDAs; additionally, these social dis...

journal_title：BMC medical informatics and decision making

authors： Enard KR,Dolan Mullen P,Kamath GR,Dixon NM,Volk RJ

更新日期：2016-06-06 00:00:00

abstract：BACKGROUND:Applying evidence is one of the most challenging steps of evidence-based clinical practice. Healthcare professionals have difficulty interpreting evidence and translating it to patients. Decision boxes are summaries of the most important benefits and harms of diagnostic, therapeutic, and preventive health in...

journal_title：BMC medical informatics and decision making

authors： Giguere A,Legare F,Grad R,Pluye P,Rousseau F,Haynes RB,Cauchon M,Labrecque M

更新日期：2011-03-09 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:Following the completion of treatment and as they enter the follow-up phase, breast cancer patients (BCPs) often recount feeling 'lost in transition', and are left with many questions concerning how their ongoing care and monitoring for recurrence will be managed. Family physicians (FPs) also frequently repo...

journal_title：BMC medical informatics and decision making

authors： Haq R,Heus L,Baker NA,Dastur D,Leung FH,Leung E,Li B,Vu K,Parsons JA

更新日期：2013-07-25 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:Congestive heart failure is one of the most common reasons those aged 65 and over are hospitalized in the United States, which has caused a considerable economic burden. The precise prediction of hospitalization caused by congestive heart failure in the near future could prevent possible hospitalization, opt...

journal_title：BMC medical informatics and decision making

authors： Yang T,Yang Y,Jia Y,Li X

更新日期：2019-01-31 00:00:00

abstract：BACKGROUND:Medication events in clinical settings are significant threats to patient safety. Analyzing and learning from the medication event reports is an important way to prevent the recurrence of these events. Currently, the analysis of medication event reports is ineffective and requires heavy workloads for clinici...

journal_title：BMC medical informatics and decision making

authors： Zhou S,Kang H,Yao B,Gong Y

更新日期：2018-12-07 00:00:00

abstract：BACKGROUND:Patients undergoing heart surgery continue to be the largest demand on blood transfusions. The need for transfusion is based on the risk of complications due to poor cell oxygenation, however large transfusions are associated with increased morbidity and risk of mortality in heart surgery patients. The aim o...

journal_title：BMC medical informatics and decision making

authors： Simeone F,Franchi F,Cevenini G,Marullo A,Fossombroni V,Scolletta S,Biagioli B,Giomarelli P,Barbini P

更新日期：2011-06-21 00:00:00

abstract：BACKGROUND:Diagnostic accuracy might be improved by algorithms that searched patients' clinical notes in the electronic health record (EHR) for signs and symptoms of diseases such as multiple sclerosis (MS). The focus this study was to determine if patients with MS could be identified from their clinical notes prior to...

journal_title：BMC medical informatics and decision making

authors： Chase HS,Mitrani LR,Lu GG,Fulgieri DJ

更新日期：2017-02-28 00:00:00

abstract：BACKGROUND:Percutaneous coronary intervention (PCI) is the most commonly performed treatment for coronary atherosclerosis. It is associated with a higher incidence of repeat revascularization procedures compared to coronary artery bypass grafting surgery. Recent results indicate that PCI is only cost-effective for a su...

journal_title：BMC medical informatics and decision making

authors： Pölsterl S,Singh M,Katouzian A,Navab N,Kastrati A,Ladic L,Kamen A

更新日期：2015-02-14 00:00:00

abstract：BACKGROUND:Few researchers have examined the perceptions of physicians referring cases for angiography regarding the degree to which collaboration occurs during percutaneous coronary intervention (PCI) decision-making. We sought to determine perceptions of physicians concerning their involvement in PCI decisions in cas...

journal_title：BMC medical informatics and decision making

authors： Rahilly-Tierney CR,Nash IS

更新日期：2008-06-25 00:00:00

abstract：BACKGROUND:Large biomedical data sets have become increasingly important resources for medical researchers. Modern biomedical data sets are annotated with standard terms to describe the data and to support data linking between databases. The largest curated listing of biomedical terms is the the National Library of Med...

journal_title：BMC medical informatics and decision making

authors： Berman JJ

更新日期：2003-06-16 00:00:00

abstract：BACKGROUND:Mobile health has potential for promotion of self-management in patients with chronic diseases. This study was conducted to investigate smartphone usage in patients with type II diabetes and their intention to use it for self-management. METHODS:This cross-sectional study was conducted in 2018 with 176 pati...

journal_title：BMC medical informatics and decision making

authors： Rangraz Jeddi F,Nabovati E,Hamidi R,Sharif R

更新日期：2020-02-07 00:00:00

abstract：BACKGROUND:During the last decade, there has been an increase in studies describing use of mHealth, using smartphones with apps, in the healthcare system by a variety of populations. Despite this, few interventions including apps are targeting older people receiving home care. Developing mobile technology to its full p...

journal_title：BMC medical informatics and decision making

authors： Göransson C,Wengström Y,Hälleberg-Nyman M,Langius-Eklöf A,Ziegert K,Blomberg K

更新日期：2020-09-15 00:00:00

abstract：BACKGROUND:Cardiovascular diseases (CVDs) are difficult to diagnose early and have risk factors that are easy to overlook. Early prediction and personalization of treatment through the use of artificial intelligence (AI) may help clinicians and patients manage CVDs more effectively. However, to apply AI approaches to C...

journal_title：BMC medical informatics and decision making

authors： Ahn I,Na W,Kwon O,Yang DH,Park GM,Gwon H,Kang HJ,Jeong YU,Yoo J,Kim Y,Jun TJ,Kim YH

更新日期：2021-01-28 00:00:00

abstract：BACKGROUND:High levels of adherence to medications for HIV infection are essential for optimal clinical outcomes and to reduce viral transmission, but many patients do not achieve required levels. Clinician-delivered interventions can improve patients' adherence, but usually require substantial effort by trained indivi...

journal_title：BMC medical informatics and decision making

authors： Ownby RL,Waldrop-Valverde D,Jacobs RJ,Acevedo A,Caballero J

更新日期：2013-02-28 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：: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:Providers and policymakers are pursuing strategies to increase patient engagement in health care. Increasingly, online sections of medical records are viewable by patients though seldom are clinicians' visit notes included. We designed a one-year multi-site trial of online patient accessible office visit not...

journal_title：BMC medical informatics and decision making

authors： Leveille SG,Walker J,Ralston JD,Ross SE,Elmore JG,Delbanco T

更新日期：2012-04-13 00:00:00

abstract：BACKGROUND:Mobile phone technology has demonstrated the potential to improve health service delivery, but there is little guidance to inform decisions about acquiring and implementing mHealth technology at scale in health systems. Using the case of community-based health services (CBS) in South Africa, we apply a frame...

journal_title：BMC medical informatics and decision making

authors： Leon N,Schneider H,Daviaud E

更新日期：2012-11-05 00:00:00

abstract：BACKGROUND:Patient stratification is a critical task in clinical decision making since it can allow physicians to choose treatments in a personalized way. Given the increasing availability of electronic medical records (EMRs) with longitudinal data, one crucial problem is how to efficiently cluster the patients based o...

journal_title：BMC medical informatics and decision making

authors： Rama K,Canhão H,Carvalho AM,Vinga S

更新日期：2019-12-30 00:00:00

abstract：BACKGROUND:The linkage of records which refer to the same entity in separate data collections is a common requirement in public health and biomedical research. Traditionally, record linkage techniques have required that all the identifying data in which links are sought be revealed to at least one party, often a third ...

journal_title：BMC medical informatics and decision making

authors： Churches T,Christen P

更新日期：2004-06-28 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