当前位置： SCI文献检索 > JOURNAL OF BIOMEDICAL INFORMATICS期刊下所有文献 > Towards an on-demand peer feedback system for a clinical knowledge base: a case study with order sets.

Towards an on-demand peer feedback system for a clinical knowledge base: a case study with order sets.

Abstract：

OBJECTIVE:We have developed an automated knowledge base peer feedback system as part of an effort to facilitate the creation and refinement of sound clinical knowledge content within an enterprise-wide knowledge base. The program collects clinical data stored in our Clinical Data Repository during usage of a physician order entry program. It analyzes usage patterns of order sets relative to their templates and creates a report detailing the usage patterns of the order set template. This report includes a set of suggested modifications to the template. DESIGN:A quantitative analysis was performed to assess the validity of the program's suggested order set template modifications. MEASUREMENTS:We collected and de-identified 2951 instances of POE-based orders. Our program then identified and generated feedback reports for thirty different order set templates from this data set. These reports contained 500 suggested modifications. Five order set authors were then asked to 'accept' or 'reject' each suggestion contained in his/her respective order set templates. They were also asked to categorize their rationale for doing so ('clinical relevance' or 'user convenience'). RESULTS:In total, 62% (309/500) suggestions were accepted by clinical content authors. Of these, authors accepted 32% (36/114) of the suggested additions, 74% (123/167) of the suggested pre-selections, 76% (16/25) of the suggested de-selections, and 68% (131/194) of the suggested changes in combo box order. CONCLUSION:Overall, the feedback system generated suggestions that were deemed highly acceptable among order set authors. Future refinements and enhancements to the software will add to its utility.

journal_name

J Biomed Inform

journal_title

Journal of biomedical informatics

authors

Hulse NC,Del Fiol G,Bradshaw RL,Roemer LK,Rocha RA

doi

10.1016/j.jbi.2007.05.006

subject

Has Abstract

pub_date

2008-02-01 00:00:00

pages

152-64

issue

1

eissn

1532-0464

issn

1532-0480

pii

S1532-0464(07)00047-0

journal_volume

41

pub_type

杂志文章

相关文献

JOURNAL OF BIOMEDICAL INFORMATICS文献大全
  • Patient empowerment for cancer patients through a novel ICT infrastructure.

    abstract：:As a result of recent advances in cancer research and "precision medicine" approaches, i.e. the idea of treating each patient with the right drug at the right time, more and more cancer patients are being cured, or might have to cope with a life with cancer. For many people, cancer survival today means living with a c...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2019.103342

    authors： Kondylakis H,Bucur A,Crico C,Dong F,Graf N,Hoffman S,Koumakis L,Manenti A,Marias K,Mazzocco K,Pravettoni G,Renzi C,Schera F,Triberti S,Tsiknakis M,Kiefer S

    更新日期：2020-01-01 00:00:00

  • Security and privacy in electronic health records: a systematic literature review.

    abstract：OBJECTIVE:To report the results of a systematic literature review concerning the security and privacy of electronic health record (EHR) systems. DATA SOURCES:Original articles written in English found in MEDLINE, ACM Digital Library, Wiley InterScience, IEEE Digital Library, Science@Direct, MetaPress, ERIC, CINAHL and...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章,评审

    doi：10.1016/j.jbi.2012.12.003

    authors： Fernández-Alemán JL,Señor IC,Lozoya PÁ,Toval A

    更新日期：2013-06-01 00:00:00

  • Computing with evidence Part II: An evidential approach to predicting metabolic drug-drug interactions.

    abstract：:We describe a novel experiment that we conducted with the Drug Interaction Knowledge-base (DIKB) to determine which combinations of evidence enable a rule-based theory of metabolic drug-drug interactions to make the most optimal set of predictions. The focus of the experiment was a group of 16 drugs including six memb...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2009.05.010

    authors： Boyce R,Collins C,Horn J,Kalet I

    更新日期：2009-12-01 00:00:00

  • Computer mediated reality technologies: A conceptual framework and survey of the state of the art in healthcare intervention systems.

    abstract：INTRODUCTION:The trend of an ageing and growing world population, particularly in developed countries, is expected to continue for decades to come causing an increase in demand for healthcare resources and services. Consequently, demand is growing faster than rises in funding. The UK government, in partnership with the...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章,评审

    doi：10.1016/j.jbi.2019.103102

    authors： Ibrahim Z,Money AG

    更新日期：2019-02-01 00:00:00

  • HBLAST: Parallelised sequence similarity--A Hadoop MapReducable basic local alignment search tool.

    abstract：:The recent exponential growth of genomic databases has resulted in the common task of sequence alignment becoming one of the major bottlenecks in the field of computational biology. It is typical for these large datasets and complex computations to require cost prohibitive High Performance Computing (HPC) to function....

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2015.01.008

    authors： O'Driscoll A,Belogrudov V,Carroll J,Kropp K,Walsh P,Ghazal P,Sleator RD

    更新日期：2015-04-01 00:00:00

  • A machine-learned knowledge discovery method for associating complex phenotypes with complex genotypes. Application to pain.

    abstract：BACKGROUND:The association of genotyping information with common traits is not satisfactorily solved. One of the most complex traits is pain and association studies have failed so far to provide reproducible predictions of pain phenotypes from genotypes in the general population despite a well-established genetic basis...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2013.07.010

    authors： Lötsch J,Ultsch A

    更新日期：2013-10-01 00:00:00

  • An image score inference system for RNAi genome-wide screening based on fuzzy mixture regression modeling.

    abstract：:With recent advances in fluorescence microscopy imaging techniques and methods of gene knock down by RNA interference (RNAi), genome-scale high-content screening (HCS) has emerged as a powerful approach to systematically identify all parts of complex biological processes. However, a critical barrier preventing fulfill...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2008.04.007

    authors： Wang J,Zhou X,Li F,Bradley PL,Chang SF,Perrimon N,Wong ST

    更新日期：2009-02-01 00:00:00

  • Developing, implementing, and evaluating decision support systems for shared decision making in patient care: a conceptual model and case illustration.

    abstract：:The importance of including patient preferences in decisions regarding their care has received increased emphasis over recent years. Medical informatics can play an important role in improving patient-centered care by developing decision support systems to support the inclusion of patient preferences in clinical decis...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/s1532-0464(03)00037-6

    authors： Ruland CM,Bakken S

    更新日期：2002-10-01 00:00:00

  • Evaluating warfarin dosing models on multiple datasets with a novel software framework and evolutionary optimisation.

    abstract：:Warfarin is an effective preventative treatment for arterial and venous thromboembolism, but requires individualised dosing due to its narrow therapeutic range and high individual variation. Many machine learning techniques have been demonstrated in this domain. This study evaluated the accuracy of the most promising ...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2020.103634

    authors： Truda G,Marais P

    更新日期：2021-01-01 00:00:00

  • The European cross-border health data exchange roadmap: Case study in the Italian setting.

    abstract：:Health data exchange is a major challenge due to the sensitive information and the privacy issues entailed. Considering the European context, in which health data must be exchanged between different European Union (EU) Member States, each having a different national regulatory framework as well as different national h...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2019.103183

    authors： Nalin M,Baroni I,Faiella G,Romano M,Matrisciano F,Gelenbe E,Martinez DM,Dumortier J,Natsiavas P,Votis K,Koutkias V,Tzovaras D,Clemente F

    更新日期：2019-06-01 00:00:00

  • Challenges in clinical natural language processing for automated disorder normalization.

    abstract：BACKGROUND:Identifying key variables such as disorders within the clinical narratives in electronic health records has wide-ranging applications within clinical practice and biomedical research. Previous research has demonstrated reduced performance of disorder named entity recognition (NER) and normalization (or groun...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2015.07.010

    authors： Leaman R,Khare R,Lu Z

    更新日期：2015-10-01 00:00:00

  • A genetic algorithm-support vector machine method with parameter optimization for selecting the tag SNPs.

    abstract：:SNPs (Single Nucleotide Polymorphisms) include millions of changes in human genome, and therefore, are promising tools for disease-gene association studies. However, this kind of studies is constrained by the high expense of genotyping millions of SNPs. For this reason, it is required to obtain a suitable subset of SN...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2012.12.002

    authors： Ilhan I,Tezel G

    更新日期：2013-04-01 00:00:00

  • A cascaded approach for Chinese clinical text de-identification with less annotation effort.

    abstract：:With rapid adoption of Electronic Health Records (EHR) in China, an increasing amount of clinical data has been available to support clinical research. Clinical data secondary use usually requires de-identification of personal information to protect patient privacy. Since manually de-identification of free clinical te...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2017.07.017

    authors： Jian Z,Guo X,Liu S,Ma H,Zhang S,Zhang R,Lei J

    更新日期：2017-09-01 00:00:00

  • Automatic signal extraction, prioritizing and filtering approaches in detecting post-marketing cardiovascular events associated with targeted cancer drugs from the FDA Adverse Event Reporting System (FAERS).

    abstract：OBJECTIVE:Targeted drugs dramatically improve the treatment outcomes in cancer patients; however, these innovative drugs are often associated with unexpectedly high cardiovascular toxicity. Currently, cardiovascular safety represents both a challenging issue for drug developers, regulators, researchers, and clinicians ...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2013.10.008

    authors： Xu R,Wang Q

    更新日期：2014-02-01 00:00:00

  • An unsupervised and customizable misspelling generator for mining noisy health-related text sources.

    abstract：BACKGROUND:Data collection and extraction from noisy text sources such as social media typically rely on keyword-based searching/listening. However, health-related terms are often misspelled in such noisy text sources due to their complex morphology, resulting in the exclusion of relevant data for studies. In this pape...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2018.11.007

    authors： Sarker A,Gonzalez-Hernandez G

    更新日期：2018-12-01 00:00:00

  • The REDCap consortium: Building an international community of software platform partners.

    abstract：:The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium shari...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2019.103208

    authors： Harris PA,Taylor R,Minor BL,Elliott V,Fernandez M,O'Neal L,McLeod L,Delacqua G,Delacqua F,Kirby J,Duda SN,REDCap Consortium.

    更新日期：2019-07-01 00:00:00

  • RedMed: Extending drug lexicons for social media applications.

    abstract：:Social media has been identified as a promising potential source of information for pharmacovigilance. The adoption of social media data has been hindered by the massive and noisy nature of the data. Initial attempts to use social media data have relied on exact text matches to drugs of interest, and therefore suffer ...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2019.103307

    authors： Lavertu A,Altman RB

    更新日期：2019-11-01 00:00:00

  • Modeling individual differences: A case study of the application of system identification for personalizing a physical activity intervention.

    abstract：BACKGROUND:Control systems engineering methods, particularly, system identification (system ID), offer an idiographic (i.e., person-specific) approach to develop dynamic models of physical activity (PA) that can be used to personalize interventions in a systematic, scalable way. The purpose of this work is to: (1) appl...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2018.01.010

    authors： Phatak SS,Freigoun MT,Martín CA,Rivera DE,Korinek EV,Adams MA,Buman MP,Klasnja P,Hekler EB

    更新日期：2018-03-01 00:00:00

  • On the reproducibility of results of pathway analysis in genome-wide expression studies of colorectal cancers.

    abstract：:One of the major problems in genomics and medicine is the identification of gene networks and pathways deregulated in complex and polygenic diseases, like cancer. In this paper, we address the problem of assessing the variability of results of pathways analysis identified in different and independent genome wide expre...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2009.09.005

    authors： Maglietta R,Distaso A,Piepoli A,Palumbo O,Carella M,D'Addabbo A,Mukherjee S,Ancona N

    更新日期：2010-06-01 00:00:00

  • Personal health information in research: Perceived risk, trustworthiness and opinions from patients attending a tertiary healthcare facility.

    abstract：BACKGROUND:Personal health information is a valuable resource to the advancement of research. In order to achieve a comprehensive reform of data infrastructure in Australia, both public engagement and building social trust is vital. In light of this, we conducted a study to explore the opinions, perceived risks and tru...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2019.103222

    authors： Krahe M,Milligan E,Reilly S

    更新日期：2019-07-01 00:00:00

  • Role of OpenEHR as an open source solution for the regional modelling of patient data in obstetrics.

    abstract：:This work investigates, whether openEHR with its reference model, archetypes and templates is suitable for the digital representation of demographic as well as clinical data. Moreover, it elaborates openEHR as a tool for modelling Hospital Information Systems on a regional level based on a national logical infrastruct...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2015.04.004

    authors： Pahl C,Zare M,Nilashi M,de Faria Borges MA,Weingaertner D,Detschew V,Supriyanto E,Ibrahim O

    更新日期：2015-06-01 00:00:00

  • Modelling and analysing the dynamics of disease progression from cross-sectional studies.

    abstract：:Clinical trials are typically conducted over a population within a defined time period in order to illuminate certain characteristics of a health issue or disease process. These cross-sectional studies give us a 'snapshot' of this disease process over a large number of people but do not allow us to model the temporal ...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2012.11.003

    authors： Li Y,Swift S,Tucker A

    更新日期：2013-04-01 00:00:00

  • Quantifying semantic similarity of clinical evidence in the biomedical literature to facilitate related evidence synthesis.

    abstract：OBJECTIVE:Published clinical trials and high quality peer reviewed medical publications are considered as the main sources of evidence used for synthesizing systematic reviews or practicing Evidence Based Medicine (EBM). Finding all relevant published evidence for a particular medical case is a time and labour intensiv...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2019.103321

    authors： Hassanzadeh H,Nguyen A,Verspoor K

    更新日期：2019-12-01 00:00:00

  • Consensus and Meta-analysis regulatory networks for combining multiple microarray gene expression datasets.

    abstract：:Microarray data is a key source of experimental data for modelling gene regulatory interactions from expression levels. With the rapid increase of publicly available microarray data comes the opportunity to produce regulatory network models based on multiple datasets. Such models are potentially more robust with great...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章,meta分析

    doi：10.1016/j.jbi.2008.01.011

    authors： Steele E,Tucker A

    更新日期：2008-12-01 00:00:00

  • Toward analyzing and synthesizing previous research in early prediction of cardiac arrest using machine learning based on a multi-layered integrative framework.

    abstract：BACKGROUND:One of the significant problems in the field of healthcare is the low survival rate of people who have experienced sudden cardiac arrest. Early prediction of cardiac arrest can provide the time required for intervening and preventing its onset in order to reduce mortality. Traditional statistical methods hav...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2018.10.008

    authors： Layeghian Javan S,Sepehri MM,Aghajani H

    更新日期：2018-12-01 00:00:00

  • ReVeaLD: a user-driven domain-specific interactive search platform for biomedical research.

    abstract：:Bioinformatics research relies heavily on the ability to discover and correlate data from various sources. The specialization of life sciences over the past decade, coupled with an increasing number of biomedical datasets available through standardized interfaces, has created opportunities towards new methods in biome...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2013.10.001

    authors： Kamdar MR,Zeginis D,Hasnain A,Decker S,Deus HF

    更新日期：2014-02-01 00:00:00

  • Facilitating pre-operative assessment guidelines representation using SNOMED CT.

    abstract：OBJECTIVE:To investigate whether SNOMED CT covers the terms used in pre-operative assessment guidelines, and if necessary, how the measured content coverage can be improved. METHODS:Pre-operative assessment guidelines were retrieved from the websites of (inter)national anesthesia-related societies. The recommendations...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2010.07.009

    authors： Ahmadian L,Cornet R,de Keizer NF

    更新日期：2010-12-01 00:00:00

  • Knowledge-based automated planning system for StereoElectroEncephaloGraphy: A center-based scenario.

    abstract：:Surgical planning for StereoElectroEncephaloGraphy (SEEG) is a complex and patient specific task, where the experience and medical workflow of each institution may influence the final planning choices. To account for this variability, we developed a data-based Computer Assisted Planning (CAP) solution able to exploit ...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2020.103460

    authors： Scorza D,Rizzi M,De Momi E,Cortés C,Bertelsen Á,Cardinale F

    更新日期：2020-08-01 00:00:00

  • Matching patients to clinical trials using semantically enriched document representation.

    abstract：:Recruiting eligible patients for clinical trials is crucial for reliably answering specific questions about medical interventions and evaluation. However, clinical trial recruitment is a bottleneck in clinical research and drug development. Our goal is to provide an approach towards automating this manual and time-con...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2020.103406

    authors： Hassanzadeh H,Karimi S,Nguyen A

    更新日期：2020-05-01 00:00:00

  • Characterizing and optimizing human anticancer drug targets based on topological properties in the context of biological pathways.

    abstract：:One of the challenging problems in drug discovery is to identify the novel targets for drugs. Most of the traditional methods for drug targets optimization focused on identifying the particular families of "druggable targets", but ignored their topological properties based on the biological pathways. In this study, we...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2015.02.007

    authors： Zhang J,Wang Y,Shang D,Yu F,Liu W,Zhang Y,Feng C,Wang Q,Xu Y,Liu Y,Bai X,Li X,Li C

    更新日期：2015-04-01 00:00:00