Automated extraction of Biomarker information from pathology reports.

abstract：BACKGROUND:Longitudinal, patient-centered care represents a challenge for general practitioners (GPs), and in this context, reminder systems can offer targeted support. This study aimed to identify details of such reminders: (1) contents of care addressed, (2) their mode of display in the electronic health record (EHR)...

journal_title：BMC medical informatics and decision making

authors： Kersting C,Weltermann B

更新日期：2016-11-24 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:In recent years, a significant change has taken place in the health care delivery systems due to the availability of smartphones and mobile software applications. The use of mobile technology can help to reduce a number of barriers for mental health care such as providers' workload, lack of qualified personn...

journal_title：BMC medical informatics and decision making

authors： Pokhrel P,Karmacharya R,Taylor Salisbury T,Carswell K,Kohrt BA,Jordans MJD,Lempp H,Thornicroft G,Luitel NP

更新日期：2021-01-19 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:Cost effectiveness research is emerging in the chronic kidney disease (CKD) research field. Especially, an individual-level state transition model (microsimulation) is widely used for these researches. Some researchers set CKD grades as discrete health states, and the transition probabilities between these s...

journal_title：BMC medical informatics and decision making

authors： Hiragi S,Tamura H,Goto R,Kuroda T

更新日期：2018-11-09 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:In this study we implemented and developed state-of-the-art machine learning (ML) and natural language processing (NLP) technologies and built a computerized algorithm for medication reconciliation. Our specific aims are: (1) to develop a computerized algorithm for medication discrepancy detection between pa...

journal_title：BMC medical informatics and decision making

authors： Li Q,Spooner SA,Kaiser M,Lingren N,Robbins J,Lingren T,Tang H,Solti I,Ni Y

更新日期：2015-05-06 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 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: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:Data mining can be utilized to automate analysis of substantial amounts of data produced in many organizations. However, data mining produces large numbers of rules and patterns, many of which are not useful. Existing methods for pruning uninteresting patterns have only begun to automate the knowledge acquis...

journal_title：BMC medical informatics and decision making

authors： Siadaty MS,Knaus WA

更新日期：2006-03-07 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:Feedback from service users will provide insight into opportunities for improvement so that performance can be optimised. In the context of a formative evaluation referring clinician and patient satisfaction with a teleneurophysiology service was examined during a 20 week pilot period. METHODS:Questionnaire...

journal_title：BMC medical informatics and decision making

authors： Breen P,Murphy K,Browne G,Molloy F,Reid V,Doherty C,Delanty N,Connolly S,Fitzsimons M

更新日期：2010-09-15 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：INTRODUCTION:While early diagnostic decision support systems were built around knowledge bases, more recent systems employ machine learning to consume large amounts of health data. We argue curated knowledge bases will remain an important component of future diagnostic decision support systems by providing ground truth...

journal_title：BMC medical informatics and decision making

authors： Müller L,Gangadharaiah R,Klein SC,Perry J,Bernstein G,Nurkse D,Wailes D,Graham R,El-Kareh R,Mehta S,Vinterbo SA,Aronoff-Spencer E

更新日期：2019-04-27 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:Whether early detection and treatment of prostate cancer (PCa) will reduce disease-related mortality remains uncertain. As a result, tools are needed to facilitate informed decision making. While there have been several decision aids (DAs) developed and tested, very few have included an exercise to help men ...

journal_title：BMC medical informatics and decision making

authors： Dorfman CS,Williams RM,Kassan EC,Red SN,Dawson DL,Tuong W,Parker ER,Ohene-Frempong J,Davis KM,Krist AH,Woolf SH,Schwartz MD,Fishman MB,Cole C,Taylor KL

更新日期：2010-03-03 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: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: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:Clear communication about the possible outcomes of proposed medical interventions is an integral part of medical care. Despite its importance, there have been few studies comparing different formats for presenting probabilistic information to patients, especially when small probabilities are involved. The pu...

journal_title：BMC medical informatics and decision making

authors： Dolan JG,Iadarola S

更新日期：2008-04-10 00:00:00

abstract：BACKGROUND:CDSS (computerized decision support system) for medical diagnostics have been studied for long. This study was undertaken to investigate how different preferences of Learning Styles (LS) of psychiatrists might affect acceptance, use and perceived usefulness of a CDSS for diagnostics in psychiatry. METHODS:4...

journal_title：BMC medical informatics and decision making

authors： Bergman LG,Fors UG

更新日期：2005-01-07 00:00:00

abstract：BACKGROUND:Particularly in the context of severe diseases like cancer, many patients wish to include caregivers in the planning of treatment and care. Many caregivers like to be involved but feel insufficiently enabled. This study aimed at providing insight into patients' and caregivers' perspectives on caregivers' rol...

journal_title：BMC medical informatics and decision making

authors： Weis A,Pohlmann S,Poss-Doering R,Strauss B,Ullrich C,Hofmann H,Ose D,Winkler EC,Szecsenyi J,Wensing M

更新日期：2020-07-13 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:Prostate cancer (PCa) represents a significant healthcare problem. The critical clinical question is the need for a biopsy. Accurate risk stratification of patients before a biopsy can allow for individualised risk stratification thus improving clinical decision making. This study aims to build a risk calcul...

journal_title：BMC medical informatics and decision making

authors： Jalali A,Foley RW,Maweni RM,Murphy K,Lundon DJ,Lynch T,Power R,O'Brien F,O'Malley KJ,Galvin DJ,Durkan GC,Murphy TB,Watson RW

更新日期：2020-07-03 00:00:00

abstract：BACKGROUND:PubMed is the main access to medical literature on the Internet. In order to enhance the performance of its information retrieval tools, primarily non-indexed citations, the authors propose a method: expanding users' queries using Unified Medical Language System' (UMLS) synonyms i.e. all the terms gathered u...

journal_title：BMC medical informatics and decision making

authors： Griffon N,Chebil W,Rollin L,Kerdelhue G,Thirion B,Gehanno JF,Darmoni SJ

更新日期：2012-02-29 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: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:Efficient planning of hospital bed usage is a necessary condition to minimize the hospital costs. In the presented work we deal with the problem of occupancy forecasting in the scale of several months, with a focus on personnel's holiday planning. METHODS:We construct a model based on a set of recursive neu...

journal_title：BMC medical informatics and decision making

authors： Kutafina E,Bechtold I,Kabino K,Jonas SM

更新日期：2019-03-07 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