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

10:48 EDT 18th October 2017 | BioPortfolio

Health Connections Initiative Highlights Intersection Data Analytics Improving PubMed articles on BioPortfolio. Our PubMed references draw on over 21 million records from the medical literature. Here you can see the latest Health Connections Initiative Highlights Intersection Data Analytics Improving articles that have been published worldwide.

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Showing "Health Connections Initiative highlights intersection data analytics improving" PubMed Articles 1–25 of 43,000+

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...


Big Data Analytics in Chemical Engineering.

Big data analytics is the journey to turn data into insights for more informed business and operational decisions. As the chemical engineering community is collecting more data (volume) from different sources (variety), this journey becomes more challenging in terms of using the right data and the right tools (analytics) to make the right decisions in real time (velocity). This article highlights recent big data advancements in five industries, including chemicals, energy, semiconductors, pharmaceuticals, a...

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...

Bringing Big Data to the Forefront of Healthcare Delivery: The Experience of Carolinas HealthCare System.

The use of big data to transform care delivery is rapidly becoming a reality. To deliver on the promise of value-based care, providers must know the key drivers of wellness at the patient and community levels, as well as understand resource constraints and opportunities to improve efficiency in the health-care system itself. Data are the linchpin. By gathering the right data and finding innovative ways to glean knowledge, we can improve clinical care, advance the health of our communities, improve the lives...

Improving the Health of the United States With a "Winnable Battles" Initiative.

Bringing Big Data to the Forefront of Healthcare Delivery: The Experience of Carolinas HealthCare System.

The use of big data to transform care delivery is rapidly becoming a reality. To deliver on the promise of value-based care, providers must know the key drivers of wellness at the patient and community levels, as well as understand resource constraints and opportunities to improve efficiency in the healthcare system itself. Data are the linchpin. By gathering the right data and finding innovative ways to glean knowledge, we can improve clinical care, advance the health of our communities, improve the lives ...

Building Capacity Among Laity: A Faith-Based Health Ministry Initiative.

A systematic review of topic-specific faith-based health programs determined that health outcomes can be improved though faith-based health interventions. A university research team, in partnership with the Kansas United Methodist Church and a United Methodist philanthropy, facilitated planning and development of a statewide initiative to increase the capacity of laity-led health ministry teams. The purpose of this paper is to describe the processes utilized to design and implement an initiative to increase...

Correction: Improving the standards-based management: recognition initiative to provide high-quality, equitable maternal health services in Malawi. An implementation research protocol.

[This corrects the article DOI: 10.1136/bmjgh-2015-000022.].

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...

Ethics and Subsequent Use of Electronic Health Record Data.

The digital health landscape in the United States is evolving and electronic health record data hold great promise for improving health and health equity. Like many scientific and technological advances in health and medicine, there exists an exciting narrative about what we can do with the new technology, as well as reflection about what we should do with it based on what we value. Ethical reflections about the use of EHR data for research and quality improvement have considered the important issues of pri...

Bundle Payment Program Initiative: Roles of a Nurse Navigator and Home Health Professionals.

With the passage of the Affordable Care Act, The Centers for Medicare and Medicaid (CMS) introduced a new value-based payment model, the Bundle Payment Care Initiative. The CMS Innovation (Innovation Center) authorized hospitals to participate in a pilot to test innovative payment and service delivery models that have a potential to reduce Medicare expenditures while maintaining or improving the quality of care for beneficiaries. A hospital-based home care agency, Abington Jefferson Health Home Care Departm...

Implementation of a Health Indicator Monitoring System in an Assertive Community Treatment Team at a Community Outpatient Behavioral Health Organization.

Persons with severe mental illness have increased risk for medical co-morbidities and early mortality. The purpose of this project was to implement a health indicator monitoring system for an Assertive Community Treatment team and to utilize this system to generate referrals to appropriate medical providers. The system established utilized Substance Abuse and Mental Health Services Administration (SAMSHA) recommended health indicators and pre-post data analysis to assess the effectiveness of the initiative....

Redesigning School Nursing Education in New Jersey to Address the Challenges and Opportunities of Population Health.

School health is a specialty practice of nursing positioned at the intersection of public health and population health. This article discusses the redesign of a program's curriculum with the hope of advancing and elevating the practice of school nursing. The redesign is based on NASN's Framework for 21st Century School Nursing Practice and is the result of a New Jersey Nursing Initiative grant awarded to a trio of adjunct faculty from Rutgers University Camden in July 2016.

The Role of Teamwork in the Analysis of Big Data: A Study of Visual Analytics and Box Office Prediction.

Historically, domains such as business intelligence would require a single analyst to engage with data, develop a model, answer operational questions, and predict future behaviors. However, as the problems and domains become more complex, organizations are employing teams of analysts to explore and model data to generate knowledge. Furthermore, given the rapid increase in data collection, organizations are struggling to develop practices for intelligence analysis in the era of big data. Currently, a variety...

Priming the Pump for Big Data at Sentara Healthcare.

Today's healthcare organizations are facing significant demands with respect to managing population health, demonstrating value, and accepting risk for clinical outcomes across the continuum of care. The patient's environment outside the walls of the hospital and physician's office-and outside the electronic health record (EHR)-has a substantial impact on clinical care outcomes. The use of big data is key to understanding factors that affect the patient's health status and enhancing clinicians' ability to a...

Big Data Analytics for Genomic Medicine.

Genomic medicine attempts to build individualized strategies for diagnostic or therapeutic decision-making by utilizing patients' genomic information. Big Data analytics uncovers hidden patterns, unknown correlations, and other insights through examining large-scale various data sets. While integration and manipulation of diverse genomic data and comprehensive electronic health records (EHRs) on a Big Data infrastructure exhibit challenges, they also provide a feasible opportunity to develop an efficient an...

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.

Community health worker perspectives on a new primary health care initiative in the Eastern Cape of South Africa.

In 2010, South Africa's National Department of Health launched a national primary health care (PHC) initiative to strengthen health promotion, disease prevention, and early disease detection. The strategy, called Re-engineering Primary Health Care (rPHC), aims to provide a preventive and health-promoting community-based PHC model. A key component of rPHC is the use of community-based outreach teams staffed by generalist community health workers (CHWs).

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.

South Asian Health. From Research to Practice and Policy: An Overview.

The US South Asian population has grown tremendously, and is now over 2.5 million. South Asians often face tremendous cultural, socioeconomic, linguistic and structural obstacles to good health, and face staggering cardiovascular disease (CVD) and cancer risk. Coupled with this is a paucity of detailed data on the population's unique CVD and cancer risk profiles, etiologic mechanisms, and effective interventions to address South Asian health disparities. This data gap compelled an initiative to develop more...

Evaluation of the performance of national health systems in 2004-2011: An analysis of 173 countries.

In an effort to improve health service delivery and achieve better health outcomes, the World Health Organization (WHO) has called for improved efficiency of health care systems to better use the available funding. This study aims to examine the efficiency of national health systems using longitudinal country-level data. Data on health spending per capita, infant mortality rate (IMR), under 5 mortality rate (U5MR), and life expectancy (LE) were collected from or imputed for 173 countries from 2004 through 2...

Improving data workflow systems with cloud services and use of open data for bioinformatics research.

Data workflow systems (DWFSs) enable bioinformatics researchers to combine components for data access and data analytics, and to share the final data analytics approach with their collaborators. Increasingly, such systems have to cope with large-scale data, such as full genomes (about 200 GB each), public fact repositories (about 100 TB of data) and 3D imaging data at even larger scales. As moving the data becomes cumbersome, the DWFS needs to embed its processes into a cloud infrastructure, where the da...


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