Visual AIDS for multimodal treatment options to support decision making of patients with colorectal cancer.

abstract：BACKGROUND:Using Monte Carlo simulations, we compare different methods (maximizing Youden index, maximizing mutual information, and logistic regression) for their ability to determine optimum binary cut-off thresholds for a ratio-scaled diagnostic test variable. Special attention is given to the stability and precision...

journal_title：BMC medical informatics and decision making

authors： Reibnegger G,Schrabmair W

更新日期：2014-11-25 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:Little research has examined how physicians choose medical devices for treating individual patients to reveal if interventions are needed to support decision-making and reduce device-associated morbidity and mortality. This study explored factors that influence choice of implantable device from among availab...

journal_title：BMC medical informatics and decision making

authors： Gagliardi AR,Ducey A,Lehoux P,Turgeon T,Kolbunik J,Ross S,Trbovich P,Easty A,Bell C,Urbach DR

更新日期：2017-12-22 00:00:00

abstract：BACKGROUND:Electronic health records provide access to an unprecedented amount of clinical data for research that can accelerate the development of effective medical practices. However it is important to protect patient confidentiality, as many medical conditions are stigmatized and disclosure could result in personal ...

journal_title：BMC medical informatics and decision making

authors： Morse RE,Nadkarni P,Schoenfeld DA,Finkelstein DM

更新日期：2011-11-10 00:00:00

abstract：BACKGROUND:Hospitals have increasingly realized that wholesale adoption of electronic medical records (EMR) may introduce differential tangible/intangible benefits to them, including improved quality-of-care, reduced medical errors, reduced costs, and allowable instant access to relevant patient information by healthca...

journal_title：BMC medical informatics and decision making

authors： Kuo KM,Chen YC,Talley PC,Huang CH

更新日期：2018-12-18 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:Clinical text classification is an fundamental problem in medical natural language processing. Existing studies have cocnventionally focused on rules or knowledge sources-based feature engineering, but only a limited number of studies have exploited effective representation learning capability of deep learni...

journal_title：BMC medical informatics and decision making

authors： Yao L,Mao C,Luo Y

更新日期：2019-04-04 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:Evaluation is a challenging but necessary part of the development cycle of clinical information systems like the electronic medical records (EMR) system. It is believed that such evaluations should include multiple perspectives, be comparative and employ both qualitative and quantitative methods. Self-admini...

journal_title：BMC medical informatics and decision making

authors： Laerum H,Faxvaag A

更新日期：2004-02-09 00:00:00

abstract：BACKGROUND:Prior studies have demonstrated that cardiorespiratory fitness (CRF) is a strong marker of cardiovascular health. Machine learning (ML) can enhance the prediction of outcomes through classification techniques that classify the data into predetermined categories. The aim of this study is to present an evaluat...

journal_title：BMC medical informatics and decision making

authors： Sakr S,Elshawi R,Ahmed AM,Qureshi WT,Brawner CA,Keteyian SJ,Blaha MJ,Al-Mallah MH

更新日期：2017-12-19 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: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:Health numeracy is an important factor in how well people make decisions based on medical risk information. However, in many countries, including Japan, numeracy studies have been limited. METHODS:To fill this gap, we evaluated health numeracy levels in a sample of Japanese adults by translating two well-kn...

journal_title：BMC medical informatics and decision making

authors： Okamoto M,Kyutoku Y,Sawada M,Clowney L,Watanabe E,Dan I,Kawamoto K

更新日期：2012-09-11 00:00:00

abstract：BACKGROUND:We developed Supportive care Prioritization, Assessment and Recommendations for Kids (SPARK), a web-based application designed to facilitate symptom screening by children receiving cancer treatments and access to supportive care clinical practice guidelines primarily by healthcare providers. The objective wa...

journal_title：BMC medical informatics and decision making

authors： Cook S,Vettese E,Soman D,Hyslop S,Kuczynski S,Spiegler B,Davis H,Duong N,Ou Wai S,Golabek R,Golabek P,Antoszek-Rallo A,Schechter T,Lee Dupuis L,Sung L

更新日期：2019-01-10 00:00:00

abstract：BACKGROUND:Community-acquired pneumonia (CAP) is one of the leading causes of morbidity and mortality in the USA. Our objective was to assess the predictive value on critical illness and disposition of a sequential Bayesian Model that integrates Lactate and procalcitonin (PCT) for pneumonia. METHODS:Sensitivity and sp...

journal_title：BMC medical informatics and decision making

authors： Baez AA,Cochon L,Nicolas JM

更新日期：2019-12-30 00:00:00

abstract：BACKGROUND:The development and validation of automated electronic medical record (EMR) search strategies are important for establishing the timing of mechanical ventilation initiation in the intensive care unit (ICU).Thus, we sought to develop and validate an automated EMR search algorithm (strategy) for time zero, the...

journal_title：BMC medical informatics and decision making

authors： Smischney NJ,Velagapudi VM,Onigkeit JA,Pickering BW,Herasevich V,Kashyap R

更新日期：2014-06-25 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:User satisfaction with PACS is considered as one of the important criteria for assessing success in using PACS. The objective of this study was to determine the level of user satisfaction with PACS and to compare its functional features with traditional film-based systems. METHODS:This study was conducted i...

journal_title：BMC medical informatics and decision making

authors： Abbasi R,Sadeqi Jabali M,Khajouei R,Tadayon H

更新日期：2020-08-05 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:Patient-reported Outcomes (PROs) capturing e.g., quality of life, fatigue, depression, medication side-effects or disease symptoms, have become important outcome parameters in medical research and daily clinical practice. Electronic PRO data capture (ePRO) with software packages to administer questionnaires,...

journal_title：BMC medical informatics and decision making

authors： Holzner B,Giesinger JM,Pinggera J,Zugal S,Schöpf F,Oberguggenberger AS,Gamper EM,Zabernigg A,Weber B,Rumpold G

更新日期：2012-11-09 00:00:00

abstract：BACKGROUND:The ability to report complete, accurate and timely data by HIV care providers and other entities is a key aspect in monitoring trends in HIV prevention, treatment and care, hence contributing to its eradication. In many low-middle-income-countries (LMICs), aggregate HIV data reporting is done through the Di...

journal_title：BMC medical informatics and decision making

authors： Gesicho MB,Were MC,Babic A

更新日期：2021-01-06 00:00:00

abstract：BACKGROUND:SNOMED CT is being increasingly adopted as the standard clinical terminology for health care applications. Existing clinical applications that use legacy interface terminology need to migrate to the preferred SNOMED CT standard. In this paper, we describe our experience and methodology for mapping concepts f...

journal_title：BMC medical informatics and decision making

authors： Wade G,Rosenbloom ST

更新日期：2008-10-27 00:00:00

abstract：BACKGROUND:Automated reporting of estimated glomerular filtration rate (eGFR) is a recent advance in laboratory information technology (IT) that generates a measure of kidney function with chemistry laboratory results to aid early detection of chronic kidney disease (CKD). Because accurate diagnosis of CKD is critical ...

journal_title：BMC medical informatics and decision making

authors： Hall RK,Wang V,Jackson GL,Hammill BG,Maciejewski ML,Yano EM,Svetkey LP,Patel UD

更新日期：2012-07-12 00:00:00

abstract：BACKGROUND:Computer simulation studies of the emergency department (ED) are often patient driven and consider the physician as a human resource whose primary activity is interacting directly with the patient. In many EDs, physicians supervise delegates such as residents, physician assistants and nurse practitioners eac...

journal_title：BMC medical informatics and decision making

authors： Lim ME,Worster A,Goeree R,Tarride JÉ

更新日期：2013-05-22 00:00:00

abstract：BACKGROUND:Cancer-related fatigue is a distressing symptom experienced by many after cancer treatment. An exploratory randomised controlled trial was conducted to test proof of concept of RESTORE: a web-based tool to enhance self-efficacy to manage cancer-related fatigue. This paper reports findings from a qualitative ...

journal_title：BMC medical informatics and decision making

authors： Myall M,May CR,Grimmett C,May CM,Calman L,Richardson A,Foster CL

更新日期：2015-11-14 00:00:00

abstract：BACKGROUND:Although fecal hemoglobin concentration (f-Hb) was highly associated with the risk of colorectal neoplasms, current studies on this subject are hampered by skewedness of the data and the ordinal property of f-Hb has not been well studied yet. Our aim was to develop a quantile-based method to estimate adjuste...

journal_title：BMC medical informatics and decision making

authors： Peng SM,Chiu HM,Jen HH,Hsu CY,Chen SL,Chiu SY,Yen AM,Fann JC,Lee YC,Chen HH

更新日期：2019-05-02 00:00:00

abstract：BACKGROUND:We describe the results of cognitive interviews to refine the "Making Choices©" Decision Aid (DA) for shared decision-making (SDM) about stress testing in patients with stable coronary artery disease (CAD). METHODS:We conducted a systematic development process to design a DA consistent with International Pa...

journal_title：BMC medical informatics and decision making

authors： Kelly-Blake K,Clark S,Dontje K,Olomu A,Henry RC,Rovner DR,Rothert ML,Holmes-Rovner M

更新日期：2014-02-13 00:00:00

abstract：BACKGROUND:Multimorbidity is common and associated with poor clinical outcomes and high health care costs. Administrative data are a promising tool for studying the epidemiology of multimorbidity. Our goal was to derive and apply a new scheme for using administrative data to identify the presence of chronic conditions ...

journal_title：BMC medical informatics and decision making

authors： Tonelli M,Wiebe N,Fortin M,Guthrie B,Hemmelgarn BR,James MT,Klarenbach SW,Lewanczuk R,Manns BJ,Ronksley P,Sargious P,Straus S,Quan H,Alberta Kidney Disease Network.

更新日期：2015-04-17 00:00:00

abstract：BACKGROUND:Numerous types of digital health interventions (DHIs) are available to patients and the public but many factors affect their ability to engage and enrol in them. This systematic review aims to identify and synthesise the qualitative literature on barriers and facilitators to engagement and recruitment to DHI...

journal_title：BMC medical informatics and decision making

authors： O'Connor S,Hanlon P,O'Donnell CA,Garcia S,Glanville J,Mair FS

更新日期：2016-09-15 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