当前位置： SCI文献检索 > JOURNAL OF BIOMEDICAL INFORMATICS期刊下所有文献 > Scenario-based design: a method for connecting information system design with public health operations and emergency management.

Scenario-based design: a method for connecting information system design with public health operations and emergency management.

Abstract：

UNLABELLED:Responding to public health emergencies requires rapid and accurate assessment of workforce availability under adverse and changing circumstances. However, public health information systems to support resource management during both routine and emergency operations are currently lacking. We applied scenario-based design as an approach to engage public health practitioners in the creation and validation of an information design to support routine and emergency public health activities. METHODS:Using semi-structured interviews we identified the information needs and activities of senior public health managers of a large municipal health department during routine and emergency operations. RESULTS:Interview analysis identified 25 information needs for public health operations management. The identified information needs were used in conjunction with scenario-based design to create 25 scenarios of use and a public health manager persona. Scenarios of use and persona were validated and modified based on follow-up surveys with study participants. Scenarios were used to test and gain feedback on a pilot information system. CONCLUSION:The method of scenario-based design was applied to represent the resource management needs of senior-level public health managers under routine and disaster settings. Scenario-based design can be a useful tool for engaging public health practitioners in the design process and to validate an information system design.

journal_name

J Biomed Inform

journal_title

Journal of biomedical informatics

authors

Reeder B,Turner AM

doi

10.1016/j.jbi.2011.07.004

subject

Has Abstract

pub_date

2011-12-01 00:00:00

pages

978-88

issue

6

eissn

1532-0464

issn

1532-0480

pii

S1532-0464(11)00122-5

journal_volume

44

pub_type

杂志文章

相关文献

JOURNAL OF BIOMEDICAL INFORMATICS文献大全
  • Methodological variations in lagged regression for detecting physiologic drug effects in EHR data.

    abstract：:We studied how lagged linear regression can be used to detect the physiologic effects of drugs from data in the electronic health record (EHR). We systematically examined the effect of methodological variations ((i) time series construction, (ii) temporal parameterization, (iii) intra-subject normalization, (iv) diffe...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2018.08.014

    authors： Levine ME,Albers DJ,Hripcsak G

    更新日期：2018-10-01 00:00:00

  • The use of logic relationships to model colon cancer gene expression networks with mRNA microarray data.

    abstract：:The ultimate goal of genomics research is to describe the network of molecules and interactions that govern all biological functions and disease processes in cells. Nonlinear interactions among genes in terms of their logic relationships play a key role for deciphering the networks of molecules that underlie cellular ...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2007.11.006

    authors： Ruan X,Wang J,Li H,Perozzi RE,Perozzi EF

    更新日期：2008-08-01 00:00:00

  • Enhancing reuse of structured eligibility criteria and supporting their relaxation.

    abstract：:Patient recruitment is one of the most important barriers to successful completion of clinical trials and thus to obtaining evidence about new methods for prevention, diagnostics and treatment. The reason is that recruitment is effort consuming. It requires the identification of candidate patients for the trial (the p...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2015.05.005

    authors： Milian K,Hoekstra R,Bucur A,Ten Teije A,van Harmelen F,Paulissen J

    更新日期：2015-08-01 00:00:00

  • Multi-step ahead meningitis case forecasting based on decomposition and multi-objective optimization methods.

    abstract：:Epidemiological time series forecasting plays an important role in health public systems, due to its ability to allow managers to develop strategic planning to avoid possible epidemics. In this paper, a hybrid learning framework is developed to forecast multi-step-ahead (one, two, and three-month-ahead) meningitis cas...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2020.103575

    authors： Ribeiro MHDM,Mariani VC,Coelho LDS

    更新日期：2020-11-01 00:00:00

  • Algorithms for rapid outbreak detection: a research synthesis.

    abstract：:The threat of bioterrorism has stimulated interest in enhancing public health surveillance to detect disease outbreaks more rapidly than is currently possible. To advance research on improving the timeliness of outbreak detection, the Defense Advanced Research Project Agency sponsored the Bio-event Advanced Leading In...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2004.11.007

    authors： Buckeridge DL,Burkom H,Campbell M,Hogan WR,Moore AW

    更新日期：2005-04-01 00:00:00

  • Evaluation of relational and NoSQL database architectures to manage genomic annotations.

    abstract：:While the adoption of next generation sequencing has rapidly expanded, the informatics infrastructure used to manage the data generated by this technology has not kept pace. Historically, relational databases have provided much of the framework for data storage and retrieval. Newer technologies based on NoSQL architec...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2016.10.015

    authors： Schulz WL,Nelson BG,Felker DK,Durant TJS,Torres R

    更新日期：2016-12-01 00:00:00

  • A multivariate time series approach to modeling and forecasting demand in the emergency department.

    abstract：STUDY OBJECTIVE:The goals of this investigation were to study the temporal relationships between the demands for key resources in the emergency department (ED) and the inpatient hospital, and to develop multivariate forecasting models. METHODS:Hourly data were collected from three diverse hospitals for the year 2006. ...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2008.05.003

    authors： Jones SS,Evans RS,Allen TL,Thomas A,Haug PJ,Welch SJ,Snow GL

    更新日期：2009-02-01 00:00:00

  • Induction of comprehensible models for gene expression datasets by subgroup discovery methodology.

    abstract：:Finding disease markers (classifiers) from gene expression data by machine learning algorithms is characterized by a high risk of overfitting the data due the abundance of attributes (simultaneously measured gene expression values) and shortage of available examples (observations). To avoid this pitfall and achieve pr...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2004.07.007

    authors： Gamberger D,Lavrac N,Zelezný F,Tolar J

    更新日期：2004-08-01 00:00:00

  • Intradialytic blood pressure pattern recognition based on density peak clustering.

    abstract：:End-stage renal disease (ESRD) is the final stage of chronic kidney disease (CKD) and requires hemodialysis (HD) for survival. Intradialytic blood pressure (IBP) measurements are necessary to ensure patient safety during HD treatments and have critical clinical and prognostic significance. Studies on IBP measurements,...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2018.05.013

    authors： Wang F,Zhou JY,Tian Y,Wang Y,Zhang P,Chen JH,Li JS

    更新日期：2018-07-01 00:00:00

  • Personal discovery in diabetes self-management: Discovering cause and effect using self-monitoring data.

    abstract：OBJECTIVE:To outline new design directions for informatics solutions that facilitate personal discovery with self-monitoring data. We investigate this question in the context of chronic disease self-management with the focus on type 2 diabetes. MATERIALS AND METHODS:We conducted an observational qualitative study of d...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2017.09.013

    authors： Mamykina L,Heitkemper EM,Smaldone AM,Kukafka R,Cole-Lewis HJ,Davidson PG,Mynatt ED,Cassells A,Tobin JN,Hripcsak G

    更新日期：2017-12-01 00:00:00

  • Heterogeneous database integration in biomedicine.

    abstract：:The rapid expansion of biomedical knowledge, reduction in computing costs, and spread of internet access have created an ocean of electronic data. The decentralized nature of our scientific community and healthcare system, however, has resulted in a patchwork of diverse, or heterogeneous, database implementations, mak...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1006/jbin.2001.1024

    authors： Sujansky W

    更新日期：2001-08-01 00:00:00

  • Game-based interventions for neuropsychological assessment, training and rehabilitation: Which game-elements to use? A systematic review.

    abstract：:Game-based interventions (GBI) have been used to promote health-related outcomes, including cognitive functions. Criteria for game-elements (GE) selection are insufficiently characterized in terms of their adequacy to patients' clinical conditions or targeted cognitive outcomes. This study aimed to identify GE applied...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2019.103287

    authors： Ferreira-Brito F,Fialho M,Virgolino A,Neves I,Miranda AC,Sousa-Santos N,Caneiras C,Carriço L,Verdelho A,Santos O

    更新日期：2019-10-01 00:00:00

  • Cognitive simulators for medical education and training.

    abstract：:Simulators for honing procedural skills (such as surgical skills and central venous catheter placement) have proven to be valuable tools for medical educators and students. While such simulations represent an effective paradigm in surgical education, there is an opportunity to add a layer of cognitive exercises to the...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2009.02.008

    authors： Kahol K,Vankipuram M,Smith ML

    更新日期：2009-08-01 00:00:00

  • Vaidurya: a multiple-ontology, concept-based, context-sensitive clinical-guideline search engine.

    abstract：:We designed and implemented a generic search engine (Vaidurya), as part of our Digital clinical-Guideline Library (DeGeL) framework. Two search methods were implemented in addition to full-text search: (1) concept-based search, which relies on pre-indexing the guidelines in a clinically meaningful fashion, and (2) con...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2008.07.003

    authors： Moskovitch R,Shahar Y

    更新日期：2009-02-01 00:00:00

  • In defense of the Desiderata.

    abstract：:A 1998 paper that delineated desirable characteristics, or desiderata for controlled medical terminologies attempted to summarize emerging consensus regarding structural issues of such terminologies. Among the Desiderata was a call for terminologies to be "concept oriented." Since then, research has trended toward the...

    journal_title：Journal of biomedical informatics

    pub_type： 评论,杂志文章

    doi：10.1016/j.jbi.2005.11.008

    authors： Cimino JJ

    更新日期：2006-06-01 00:00:00

  • Spectral-dynamic representation of DNA sequences.

    abstract：:A graphical representation of DNA sequences in which the distribution of a particular base B=A,C,G,T is represented by a set of discrete lines has been formulated. The methodology of this approach has been borrowed from two areas of physics: spectroscopy and dynamics. Consequently, the set of discrete lines is referre...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2017.06.001

    authors： Bielińska-Wąż D,Wąż P

    更新日期：2017-08-01 00:00:00

  • Knowledge-based personalized search engine for the Web-based Human Musculoskeletal System Resources (HMSR) in biomechanics.

    abstract：:Human musculoskeletal system resources of the human body are valuable for the learning and medical purposes. Internet-based information from conventional search engines such as Google or Yahoo cannot response to the need of useful, accurate, reliable and good-quality human musculoskeletal resources related to medical ...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2012.11.001

    authors： Dao TT,Hoang TN,Ta XH,Tho MC

    更新日期：2013-02-01 00:00:00

  • Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corpora.

    abstract：OBJECTIVE:The goal of this study is to investigate entity recognition within Electronic Health Records (EHRs) focusing on Spanish and Swedish. Of particular importance is a robust representation of the entities. In our case, we utilized unsupervised methods to generate such representations. METHODS:The significance of...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2017.05.009

    authors： Pérez A,Weegar R,Casillas A,Gojenola K,Oronoz M,Dalianis H

    更新日期：2017-07-01 00:00:00

  • Comparison of orthogonal NLP methods for clinical phenotyping and assessment of bone scan utilization among prostate cancer patients.

    abstract：OBJECTIVE:Clinical care guidelines recommend that newly diagnosed prostate cancer patients at high risk for metastatic spread receive a bone scan prior to treatment and that low risk patients not receive it. The objective was to develop an automated pipeline to interrogate heterogeneous data to evaluate the use of bone...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2019.103184

    authors： Coquet J,Bozkurt S,Kan KM,Ferrari MK,Blayney DW,Brooks JD,Hernandez-Boussard T

    更新日期：2019-06-01 00:00:00

  • A survey on literature based discovery approaches in biomedical domain.

    abstract：:Literature Based Discovery (LBD) refers to the problem of inferring new and interesting knowledge by logically connecting independent fragments of information units through explicit or implicit means. This area of research, which incorporates techniques from Natural Language Processing (NLP), Information Retrieval and...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章,评审

    doi：10.1016/j.jbi.2019.103141

    authors： Gopalakrishnan V,Jha K,Jin W,Zhang A

    更新日期：2019-05-01 00:00:00

  • Prediction of clinical risks by analysis of preclinical and clinical adverse events.

    abstract：:This study examines the ability of nonclinical adverse event observations to predict human clinical adverse events observed in drug development programs. In addition it examines the relationship between nonclinical and clinical adverse event observations to drug withdrawal and proposes a model to predict drug withdraw...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2015.02.008

    authors： Clark M

    更新日期：2015-04-01 00:00:00

  • The Counterfactual χ-GAN: Finding comparable cohorts in observational health data.

    abstract：:Causal inference often relies on the counterfactual framework, which requires that treatment assignment is independent of the outcome, known as strong ignorability. Approaches to enforcing strong ignorability in causal analyses of observational data include weighting and matching methods. Effect estimates, such as the...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2020.103515

    authors： Averitt AJ,Vanitchanant N,Ranganath R,Perotte AJ

    更新日期：2020-09-01 00:00:00

  • Deep learning with wearable based heart rate variability for prediction of mental and general health.

    abstract：:The ubiquity and commoditisation of wearable biosensors (fitness bands) has led to a deluge of personal healthcare data, but with limited analytics typically fed back to the user. The feasibility of feeding back more complex, seemingly unrelated measures to users was investigated, by assessing whether increased levels...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2020.103610

    authors： Coutts LV,Plans D,Brown AW,Collomosse J

    更新日期：2020-12-01 00:00:00

  • A controlled greedy supervised approach for co-reference resolution on clinical text.

    abstract：:Identification of co-referent entity mentions inside text has significant importance for other natural language processing (NLP) tasks (e.g. event linking). However, this task, known as co-reference resolution, remains a complex problem, partly because of the confusion over different evaluation metrics and partly beca...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2013.03.007

    authors： Chowdhury MF,Zweigenbaum P

    更新日期：2013-06-01 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

  • An evaluation of clinical order patterns machine-learned from clinician cohorts stratified by patient mortality outcomes.

    abstract：OBJECTIVE:Evaluate the quality of clinical order practice patterns machine-learned from clinician cohorts stratified by patient mortality outcomes. MATERIALS AND METHODS:Inpatient electronic health records from 2010 to 2013 were extracted from a tertiary academic hospital. Clinicians (n = 1822) were stratified into lo...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2018.09.005

    authors： Wang JK,Hom J,Balasubramanian S,Schuler A,Shah NH,Goldstein MK,Baiocchi MTM,Chen JH

    更新日期：2018-10-01 00:00:00

  • Evaluating performance of early warning indices to predict physiological instabilities.

    abstract：:Patient monitoring algorithms that analyze multiple features from physiological signals can produce an index that serves as a predictive or prognostic measure for a specific critical health event or physiological instability. Classical detection metrics such as sensitivity and positive predictive value are often used ...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2017.09.008

    authors： Scully CG,Daluwatte C

    更新日期：2017-11-01 00:00:00

  • A Hidden Semi-Markov Model based approach for rehabilitation exercise assessment.

    abstract：:In this paper, a Hidden Semi-Markov Model (HSMM) based approach is proposed to evaluate and monitor body motion during a rehabilitation training program. The approach extracts clinically relevant motion features from skeleton joint trajectories, acquired by the RGB-D camera, and provides a score for the subject's perf...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2017.12.012

    authors： Capecci M,Ceravolo MG,Ferracuti F,Iarlori S,Kyrki V,Monteriù A,Romeo L,Verdini F

    更新日期：2018-02-01 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

  • R.A.P.I.D. (Root Aggregated Prioritized Information Display): A single screen display for efficient digital triaging of medical reports.

    abstract：OBJECTIVE:The timely acknowledgement of critical patient clinical reports is vital for the delivery of safe patient care. With current EHR systems, critical reports reside on different screens. This leads to treatment delays and inefficient work flows. As a remedy, the R.A.P.I.D. (Root Aggregated Prioritized Informatio...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章,随机对照试验

    doi：10.1016/j.jbi.2016.04.001

    authors： Ford JP,Huang L,Richards DS,Ambinder EP,Rosenberger JL

    更新日期：2016-06-01 00:00:00