Duke Surgery Research Central: an open-source Web application for the improvement of compliance with research regulation.

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: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 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:In order to better help doctors make decision in the clinical setting, research is necessary to connect electronic health record (EHR) with the biomedical literature. Pseudo Relevance Feedback (PRF) is a kind of classical query modification technique that has shown to be effective in many retrieval models an...

journal_title：BMC medical informatics and decision making

authors： Pan M,Zhang Y,Zhu Q,Sun B,He T,Jiang X

更新日期：2019-12-12 00:00:00

abstract：BACKGROUND:In the complex domain of medical decision making, reasoning under uncertainty can benefit from supporting tools. Automated decision support tools often build upon mathematical models, such as Bayesian networks. These networks require probabilities which often have to be assessed by experts in the domain of a...

journal_title：BMC medical informatics and decision making

authors： Witteman CL,Renooij S,Koele P

更新日期：2007-06-11 00:00:00

abstract：BACKGROUND:The Kentucky Cancer Registry (KCR) is a central cancer registry for the state of Kentucky that receives data about incident cancer cases from all healthcare facilities in the state within 6 months of diagnosis. Similar to all other U.S. and Canadian cancer registries, KCR uses a data dictionary provided by t...

journal_title：BMC medical informatics and decision making

authors： Tao S,Zeng N,Hands I,Hurt-Mueller J,Durbin EB,Cui L,Zhang GQ

更新日期：2020-12-15 00:00:00

abstract：BACKGROUND:Mandates abound to share publicly-funded research data for reuse, while data platforms continue to emerge to facilitate such reuse. Birth cohorts (BC) involve longitudinal designs, significant sample sizes and rich and deep datasets. Data sharing benefits include more analyses, greater research complexity, i...

journal_title：BMC medical informatics and decision making

authors： Manhas KP,Dodd SX,Page S,Letourneau N,Adair CE,Cui X,Tough SC

更新日期：2018-11-12 00:00:00

abstract：:After publication of this supplement article [1], it is requested the grant ID in the Funding section should be corrected from NSF grant IIS-7811367 to NSF grant IIS-1902617. ...

journal_title：BMC medical informatics and decision making

authors： Ning X,Zhang C,Wang K,Zhao Z,Mathé E

更新日期：2020-04-28 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: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: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: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: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: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:Quantitative electroencephalogram (EEG) is one neuroimaging technique that has been shown to differentiate patients with major depressive disorder (MDD) and non-depressed healthy volunteers (HV) at the group-level, but its diagnostic potential for detecting differences at the individual level has yet to be r...

journal_title：BMC medical informatics and decision making

authors： Mohammadi M,Al-Azab F,Raahemi B,Richards G,Jaworska N,Smith D,de la Salle S,Blier P,Knott V

更新日期：2015-12-23 00:00:00

abstract：BACKGROUND:Electronic medical records (EMRs) contain a variety of valuable medical concepts and relations. The ability to recognize relations between medical concepts described in EMRs enables the automatic processing of clinical texts, resulting in an improved quality of health-related data analysis. Driven by the 201...

journal_title：BMC medical informatics and decision making

authors： Zhang Z,Zhou T,Zhang Y,Pang Y

更新日期：2019-04-09 00:00:00

abstract：BACKGROUND:A large body of work in the clinical guidelines field has identified requirements for guideline systems, but there are formidable challenges in translating such requirements into production-quality systems that can be used in routine patient care. Detailed analysis of requirements from an implementation pers...

journal_title：BMC medical informatics and decision making

authors： Shah H,Allard RD,Enberg R,Krishnan G,Williams P,Nadkarni PM

更新日期：2012-03-09 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: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: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: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:Clinical data synthesis aims at generating realistic data for healthcare research, system implementation and training. It protects patient confidentiality, deepens our understanding of the complexity in healthcare, and is a promising tool for situations where real world data is difficult to obtain or unneces...

journal_title：BMC medical informatics and decision making

authors： Chen J,Chun D,Patel M,Chiang E,James J

更新日期：2019-03-14 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:The necessity to translate eligibility criteria from free text into decision rules that are compatible with data from the electronic health record (EHR) constitutes the main challenge when developing and deploying clinical trial recruitment support systems. Recruitment decisions based on case-based reasoning...

journal_title：BMC medical informatics and decision making

authors： Köpcke F,Lubgan D,Fietkau R,Scholler A,Nau C,Stürzl M,Croner R,Prokosch HU,Toddenroth D

更新日期：2013-12-09 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: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:A variety of multimodal treatment options are available for colorectal cancer and many patients want to be involved in decisions about their therapies. However, their desire for autonomy is limited by lack of disease-specific knowledge. Visual aids may be helpful tools to present complex data in an easy-to-u...

journal_title：BMC medical informatics and decision making

authors： Hofmann S,Vetter J,Wachter C,Henne-Bruns D,Porzsolt F,Kornmann M

更新日期：2012-10-23 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:Comparing outcomes between hospitals requires consideration of patient factors that could account for any observed differences. Adjusting for comorbid conditions is common when studying outcomes following cancer surgery, and a commonly used measure is the Charlson comorbidity index. Other measures of patient...

journal_title：BMC medical informatics and decision making

authors： Dobbins TA,Badgery-Parker T,Currow DC,Young JM

更新日期：2015-07-15 00:00:00

abstract：BACKGROUND:The use of routine hospital data for understanding patterns of adverse outcomes has been limited in the past by the fact that pre-existing and post-admission conditions have been indistinguishable. The use of a 'Present on Admission' (or POA) indicator to distinguish pre-existing or co-morbid conditions from...

journal_title：BMC medical informatics and decision making

authors： Jackson TJ,Michel JL,Roberts R,Shepheard J,Cheng D,Rust J,Perry C

更新日期：2009-12-01 00:00:00