PubMed Journals Articles About "Health Connections Initiative Highlights Intersection Data Analytics Improving" RSS

03:57 EDT 18th March 2018 | BioPortfolio

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Showing "Health Connections Initiative highlights intersection data analytics improving" PubMed Articles 1–25 of 44,000+

A glossary for big data in population and public health: discussion and commentary on terminology and research methods.

The volume and velocity of data are growing rapidly and big data analytics are being applied to these data in many fields. Population and public health researchers may be unfamiliar with the terminology and statistical methods used in big data. This creates a barrier to the application of big data analytics. The purpose of this glossary is to define terms used in big data and big data analytics and to contextualise these terms. We define the five Vs of big data and provide definitions and distinctions for d...

Using predictive analytics and big data to optimize pharmaceutical outcomes.

The steps involved, the resources needed, and the challenges associated with applying predictive analytics in healthcare are described, with a review of successful applications of predictive analytics in implementing population health management interventions that target medication-related patient outcomes.

Utilizing Actionable Data Analytics to Support Patient Navigation Enrollment and Retention Within Federally Qualified Health Centers.

Emergency departments (EDs) have become the primary source of care for increasing number of patients, leading to treatment of nonemergent cases, which divert resources from true emergency situations and represent poor cost-effectiveness for treating such cases. There is evidence that suggests that patient navigation (PN) integrated into the ED and other case management techniques can help reduce the number of primary care-related ED visits and these navigation programs are more cost-effective than the ED vi...

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...

Healthy competition drives success in results-based aid: Lessons from the Salud Mesoamérica Initiative.

The Salud Mesoamérica Initiative (SMI) is a three-operation strategy, and is a pioneer in the world of results-based aid (RBA) in terms of the success it has achieved in improving health system inputs following its initial operation. This success in meeting pre-defined targets is rare in the world of financial assistance for health. We investigated the influential aspects of SMI that could have contributed to its effectiveness in improving health systems, with the aim of providing international donors, bil...

Collaborative Visual Analytics: A Health Analytics Approach to Injury Prevention.

Background: Accurate understanding of complex health data is critical in order to deal with wicked health problems and make timely decisions. Wicked problems refer to ill-structured and dynamic problems that combine multidimensional elements, which often preclude the conventional problem solving approach. This pilot study introduces visual analytics (VA) methods to multi-stakeholder decision-making sessions about child injury prevention; Methods: Inspired by the Delphi method, we introduced a novel methodol...

Using Technology to Support Data Analytics: A Chief Nursing Officer Accountability Scorecard.

Accountability for health system improvement is a requirement for nursing leadership in practice. However, to be accountable for organizational goals, nurse leaders need the tools to identify gaps in their microsystems of care. The purpose of this article was to provide a case study example of chief nursing officer (CNO) leadership in using a technology solution to develop a CNO accountability scorecard. This project highlights the HQ Essential for data analytics using an innovative technological approach t...

Towards Implementation of OMOP in a German University Hospital Consortium.

 In 2015, the German Federal Ministry of Education and Research initiated a large data integration and data sharing research initiative to improve the reuse of data from patient care and translational research. The Observational Medical Outcomes Partnership (OMOP) common data model and the Observational Health Data Sciences and Informatics (OHDSI) tools could be used as a core element in this initiative for harmonizing the terminologies used as well as facilitating the federation of research analyses acro...

Conceptual data sampling for breast cancer histology image classification.

Data analytics have become increasingly complicated as the amount of data has increased. One technique that is used to enable data analytics in large datasets is data sampling, in which a portion of the data is selected to preserve the data characteristics for use in data analytics. In this paper, we introduce a novel data sampling technique that is rooted in formal concept analysis theory. This technique is used to create samples reliant on the data distribution across a set of binary patterns. The propose...

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.

Big Data Analytic, Big Step for Patient Management and Care in Puerto Rico.

This letter provides an overview of the application of big data in health care system to improve quality of care, including predictive modelling for risk and resource use, precision medicine and clinical decision support, quality of care and performance measurement, public health and research applications, among others. The author delineates the tremendous potential for big data analytics and discuss how it can be successfully implemented in clinical practice, as an important component of a learning health-...

Disparities in Preconception Health Indicators - 
Behavioral Risk Factor Surveillance System, 2013-2015, and Pregnancy Risk Assessment Monitoring System, 2013-2014.

Preconception health is a broad term that encompasses the overall health of nonpregnant women during their reproductive years (defined here as aged 18-44 years). Improvement of both birth outcomes and the woman's health occurs when preconception health is optimized. Improving preconception health before and between pregnancies is critical for reducing maternal and infant mortality and pregnancy-related complications. The National Preconception Health and Health Care Initiative's Surveillance and Research wo...

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.

A systematic approach to analyze the social determinants of cardiovascular disease.

Cardiovascular diseases are the leading cause of human mortality worldwide. Among the many factors associated with the etiology, incidence, and evolution of such diseases; social and environmental issues constitute an important and often overlooked component. Understanding to a greater extent the scope to which such social determinants of cardiovascular diseases (SDCVD) occur as well as the connections among them would be useful for public health policy making. Here, we will explore the historical trends an...

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...

Quality Improvement in Anesthesiology - Leveraging Data and Analytics to Optimize Outcomes.

Quality improvement is at the heart of practice of anesthesiology. Objective data are critical for any quality improvement initiative; when possible, a combination of process, outcome, and balancing metrics should be evaluated to gauge the value of an intervention. Quality improvement is an ongoing process; iterative reevaluation of data is required to maintain interventions, ensure continued effectiveness, and continually improve. Dashboards can facilitate rapid analysis of data and drive decision making. ...

In this issue: Prerequisites for precision medicine are genomics, computerised medical record systems, and big data analytics.

The Public Health Community Platform, Electronic Case Reporting, and the Digital Bridge.

At the intersection of new technology advancements, ever-changing health policy, and fiscal constraints, public health agencies seek to leverage modern technical innovations and benefit from a more comprehensive and cooperative approach to transforming public health, health care, and other data into action. State health agencies recognized a way to advance population health was to integrate public health with clinical health data through electronic infectious disease case reporting. The Public Health Commun...

The Obesity Prevention Initiative: A Statewide Effort to Improve Child Health in Wisconsin.

Obesity rates have increased dramatically, especially among children and disadvantaged populations. Obesity is a complex issue, creating a compelling need for prevention efforts in communities to move from single isolated programs to comprehensive multisystem interventions. To address these issues, we have established a childhood Obesity Prevention Initiative (Initiative) for Wisconsin. This Initiative seeks to test community change frameworks that can support multisystem interventions and provide data for ...

Expanding collaborative care: integrating the role of dietitians and nutrition interventions in services for people with mental illness.

This article aims to draw mental health clinicians' attention to the connections between nutrition and mental health, and the roles that Accredited Practising Dietitians play in improving mental and physical health through dietary change.

Menopausal Hormone Therapy and Long-term All-Cause and Cause-Specific Mortality: The Women's Health Initiative Randomized Trials.

Health outcomes from the Women's Health Initiative Estrogen Plus Progestin and Estrogen-Alone Trials have been reported, but previous publications have generally not focused on all-cause and cause-specific mortality.

Examining the contributions of a community coalition in addressing urban health determinants.

Community coalitions facilitate changes in community outcomes and conditions by addressing issues and determinants of health and well-being. The purpose of the present study was to examine the process of a community coalition, the Ivanhoe Neighborhood Council (INC), in addressing community-prioritized urban health determinants aimed at improving living conditions in a neighborhood in Kansas City, Missouri. Using an empirical case study design, the implementation of the community change framework supported t...

Military Health System Transformation Implications on Health Information Technology Modernization.

With the recent passage of the National Defense Authorization Act for Fiscal Year 2017, Congress has triggered groundbreaking Military Health System organizational restructuring with the Defense Health Agency assuming responsibility for managing all hospitals and clinics owned by the Army, Navy, and Air Force. This is a major shift toward a modern value-based managed care system, which will require much greater military-civilian health care delivery integration to be in place by October 2018. Just before th...

A Call to Investigate the Relationship Between Education and Health Outcomes Using Big Data.

There exists an assumption that improving medical education will improve patient care. While seemingly logical, this premise has rarely been investigated. In this Invited Commentary, the authors propose the use of big data to test this assumption. The authors present a few example research studies linking education and patient care outcomes and argue that using big data may more easily facilitate the process needed to investigate this assumption. The authors also propose that collaboration is needed to link...

Radiographic knee osteoarthritis impacts multiple dimensions of health-related quality of life: data from the Osteoarthritis Initiative.

To estimate the multi-dimensional health impact of radiographic knee OA and quantify the overall health-related quality of life (HRQoL) burden, using a preference-based health utilities measure.

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