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PubMed Journals Articles About "Implementing Culture Driven Data Analytics Approach Support Tech" RSS

13:55 EDT 19th June 2018 | BioPortfolio

Implementing Culture Driven Data Analytics Approach Support Tech PubMed articles on BioPortfolio. Our PubMed references draw on over 21 million records from the medical literature. Here you can see the latest Implementing Culture Driven Data Analytics Approach Support Tech articles that have been published worldwide.

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Showing "Implementing Culture Driven Data Analytics Approach Support Tech" PubMed Articles 1–25 of 43,000+

Finding treatment-resistant depression in real-world data: How a data-driven approach compares with expert-based heuristics.

Depression that does not respond to antidepressants is treatment-resistant depression (TRD). TRD definitions include assessments of treatment response, dose and duration, and implementing these definitions in claims databases can be challenging. We built a data-driven TRD definition and evaluated its performance.


Clinical judgement in the era of big data and predictive analytics.

Clinical judgement is a central and longstanding issue in the philosophy of medicine which has generated significant interest over the past few decades. In this article, we explore different approaches to clinical judgement articulated in the literature, focusing in particular on data-driven, mathematical approaches which we contrast with narrative, virtue-based approaches to clinical reasoning. We discuss the tension between these different clinical epistemologies and further explore the implications of bi...

Big Data Analytics in Medicine and Healthcare.

This paper surveys big data with highlighting the big data analytics in medicine and healthcare. Big data characteristics: value, volume, velocity, variety, veracity and variability are described. Big data analytics in medicine and healthcare covers integration and analysis of large amount of complex heterogeneous data such as various - omics data (genomics, epigenomics, transcriptomics, proteomics, metabolomics, interactomics, pharmacogenomics, diseasomics), biomedical data and electronic health records da...


A visual analytics approach for pattern-recognition in patient-generated data.

To develop and test a visual analytics tool to help clinicians identify systematic and clinically meaningful patterns in patient-generated data (PGD) while decreasing perceived information overload.

Special Issue on Profit-Driven Analytics.

Profit-Based Model Selection for Customer Retention Using Individual Customer Lifetime Values.

The goal of customer retention campaigns, by design, is to add value and enhance the operational efficiency of businesses. For organizations that strive to retain their customers in saturated, and sometimes fast moving, markets such as the telecommunication and banking industries, implementing customer churn prediction models that perform well and in accordance with the business goals is vital. The expected maximum profit (EMP) measure is tailored toward this problem by taking into account the costs and ben...

Open University Learning Analytics dataset.

Learning Analytics focuses on the collection and analysis of learners' data to improve their learning experience by providing informed guidance and to optimise learning materials. To support the research in this area we have developed a dataset, containing data from courses presented at the Open University (OU). What makes the dataset unique is the fact that it contains demographic data together with aggregated clickstream data of students' interactions in the Virtual Learning Environment (VLE). This enable...

Using Data Analytics as Evidentiary Support for Financial Outcome Success in Nurse-Led Population-Based Clinics.

Achieving the highest quality in health care requires organizations to develop clinical improvements that result in measurable outcomes for success. The purpose of this article is to demonstrate an example of clinical quality improvement through the use of data analytics to generate evidence for financial return on investment in two nurse-led, population-based clinics.

Inter-subject phase synchronization for exploratory analysis of task-fMRI.

Analysis of task-based fMRI data is conventionally carried out using a hypothesis-driven approach, where blood-oxygen-level dependent (BOLD) time courses are correlated with a hypothesized temporal structure. In some experimental designs, this temporal structure can be difficult to define. In other cases, experimenters may wish to take a more exploratory, data-driven approach to detecting task-driven BOLD activity. In this study, we demonstrate the efficiency and power of an inter-subject synchronization ap...

Platform for Automated Real-Time High Performance Analytics on Medical Image Data.

Biomedical data are quickly growing in volume and in variety, providing clinicians an opportunity for better clinical decision support. Here, we demonstrate a robust platform that uses software automation and high performance computing (HPC) resources to achieve real-time analytics of clinical data, specifically magnetic resonance imaging (MRI) data. We used the Agave application programming interface to facilitate communication, data transfer, and job control between an MRI scanner and an off-site HPC reso...

The use of model based recursive partitioning as an analytic tool in child welfare.

Child welfare agencies are tasked with investigating allegations of child maltreatment and intervening when necessary. Researchers are turning to the field of predictive analytics to optimize data analysis and data-driven decision making. To demonstrate the utility of statistical algorithms that preceded the current predictive analytics, we used Model Based (MOB) recursive partitioning, a variant of regression analysis known as decision trees, on a dataset of cases and controls with a binary outcome of seri...

Opening the Black Box: Understanding the Science Behind Big Data and Predictive Analytics.

Big data, smart data, predictive analytics, and other similar terms are ubiquitous in the lay and scientific literature. However, despite the frequency of usage, these terms are often poorly understood, and evidence of their disruption to clinical care is hard to find. This article aims to address these issues by first defining and elucidating the term big data, exploring the ways in which modern medical data, both inside and outside the electronic medical record, meet the established definitions of big dat...

BIG DATA ANALYTICS AND PRECISION ANIMAL AGRICULTURE SYMPOSIUM: Data to decisions.

Big data are frequently used in many facets of business and agronomy to enhance knowledge needed to improve operational decisions. Livestock operations collect data of sufficient quantity to perform predictive analytics. Predictive analytics can be defined as a methodology and suite of data evaluation techniques to generate a prediction for specific target outcomes. The objective of this manuscript is to describe the process of using big data and the predictive analytic framework to create tools to drive de...

A programmatic approach to address increasing HIV diagnoses among Hispanic/Latino MSM, 2010-2014.

From 2010 to 2015, young (13-24 years) Hispanic/Latino gay, bisexual and other men who have sex with men (MSM) experienced the largest increase (18%) in numbers of HIV diagnoses among all racial/ethnic groups. In 2016, the Centers for Disease Control and Prevention (CDC) assembled a team of scientists and public health analysts to develop a programmatic approach for addressing the increasing HIV diagnosis among Hispanic/Latino MSM. The team used a data driven review process, i.e., comprehensive review of ...

Why Aren't Our Digital Solutions Working for Everyone?

The article explores a digital injustice that is occurring across the country: that digital solutions intended to increase health care access and quality often neglect those that need them most. It further shows that when it comes to digital innovation, health care professionals and technology companies rarely have any incentives to focus on underserved populations. Nevertheless, we argue that the technologies that are leaving these communities behind are the same ones that can best support them. The key is...

"You got to love rosin: Solventless dabs, pure, clean, natural medicine." Exploring Twitter data on emerging trends in Rosin Tech marijuana concentrates.

"Rosin tech" is an emerging solventless method consisting in applying moderate heat and constant pressure on marijuana flowers to prepare marijuana concentrates referred to as "rosin." This paper explores rosin concentrate-related Twitter data to describe tweet content and analyze differences in rosin-related tweeting across states with varying cannabis legal statuses.

Publisher Correction: ERK-mediated phosphorylation regulates SOX10 sumoylation and targets expression in mutant BRAF melanoma.

In the original version of this Article, financial support was not fully acknowledged. The PDF and HTML versions of the Article have now been corrected to include the following: The National Basic Research Program (2015CB553602 to J.L.), the National Natural Science Foundation of China (31570777, 91649106, 31770917 to J.L.) and Tianjin Applied Basic and Frontier Tech Major Project (12JCZDJC34400 to J.L.) and Tianjin Higher Education Sci-Tech Development Project (20112D05 to J.L.).

Dark and Bright-Two Sides of Family-Centered Care in the NICU: A Qualitative Study.

Nurses in the Neonatal Intensive Care Unit (NICU) have an important role in implementing family-centered care (FCC). The aim of the study was to explore the lived experiences of NICU nurses on implementing FCC. An interpretative phenomenological study was conducted and 11 employed nurses were interviewed from April 2015 to February 2016. The data were analyzed through the Diekelmann, Allen, and Tanner approach. Four main themes of "strain to achieve stability," "bewildered by taking multiple roles," "accept...

Ongoing Evaluation of Clinical Ethics Consultations as a Form of Continuous Quality Improvement.

Ongoing evaluation of a clinical ethics consultation service (ECS) allows for continuous quality improvement, a process-based, data-driven approach for improving the quality of a service. Evaluations by stakeholders involved in a consultation can provide real-time feedback about what is working well and what might need to be improved. Although numerous authors have previously presented data from research studies on the effectiveness of clinical ethics consultation, few ECSs routinely send evaluations as an ...

How health leaders can benefit from predictive analytics.

Predictive analytics can support a better integrated health system providing continuous, coordinated, and comprehensive person-centred care to those who could benefit most. In addition to dollars saved, using a predictive model in healthcare can generate opportunities for meaningful improvements in efficiency, productivity, costs, and better population health with targeted interventions toward patients at risk.

Genetic programming based models in plant tissue culture: An addendum to traditional statistical approach.

In this paper, we compared the efficacy of observation based modeling approach using a genetic algorithm with the regular statistical analysis as an alternative methodology in plant research. Preliminary experimental data on in vitro rooting was taken for this study with an aim to understand the effect of charcoal and naphthalene acetic acid (NAA) on successful rooting and also to optimize the two variables for maximum result. Observation-based modelling, as well as traditional approach, could identify NAA ...

Developing the organisational culture in a healthcare setting.

This article aims to define organisational culture and explain why it is important to patients, carers and those working in healthcare environments. Organisational culture is not a new concept and the literature on the subject is well-established. However, because of the changing dynamics of the NHS, there has been a shift away from 'what' the NHS stands for, often relating to its history and rituals, to 'who' it functions for, including how healthcare professionals such as nurses can develop and drive the ...

Implementing an organised cervical screening programme in the Republic of Moldova-Stakeholder identification and engagement.

Successfully implementing cervical screening programmes requires them to be adapted to the local context and have broad stakeholder support. This can be achieved by actively engaging local stakeholders in planning as well as implementing the programmes. The Moldovan government started implementing an organised cervical screening programme in 2010 with the first step being stakeholder identification and engagement.

Improving Performance Measures With Perioperative Analytics.

Perioperative nurses and leadership teams across the country strive to improve outcomes, increase operational efficiency, and achieve performance improvement on key measures in the perioperative department. In today's changing health care environment, which involves increasing pressure to do more with less, it is essential for perioperative leaders to understand analytics and how to use analytics to identify, plan, and implement improvement initiatives that will provide the greatest value. This article exam...

Data-driven gating in PET: Influence of respiratory signal noise on motion resolution.

Data-driven gating (DDG) approaches for positron emission tomography (PET) are interesting alternatives to conventional hardware-based gating methods. In DDG, the measured PET data themselves are utilized to calculate a respiratory signal that is subsequently used for gating purposes. The success of gating is then highly dependent on the statistical quality of the PET data. In this study we investigate how this quality determines signal noise and thus motion resolution in clinical PET scans using a center-o...


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