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Commit Talks Patient Data Public Health PubMed articles on BioPortfolio. Our PubMed references draw on over 21 million records from the medical literature. Here you can see the latest Commit Talks Patient Data Public Health articles that have been published worldwide.
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Big Data is a diffuse term, which can be described as an approach to linking gigantic and often unstructured data sets. Big Data is used in many corporate areas. For Public Health (PH), however, Big Data is not a well-developed topic. In this article, Big Data is explained according to the intention of use, information efficiency, prediction and clustering. Using the example of application in science, patient care, equal opportunities and smart cities, typical challenges and open questions of Big Data for P...
Despite increasing international interest, there is a lack of evidence about the most efficient, effective and acceptable ways to implement patient and public involvement (PPI) in clinical trials.
Patient and public involvement (PPI) is recognized as an important component of high-quality health services research. PPI is integral to the Pre-hospital Outcomes for Evidence Based Evaluation (PhOEBE) programme. The PPI event described in detail in this article focusses on the process of involving patients and public representatives in identifying, prioritizing and refining a set of outcome measures that can be used to support ambulance service performance measurement.
Government public health expenditure data sets require time- and labor-intensive manipulation to summarize results that public health policy makers can use. Our objective was to compare the performances of machine-learning algorithms with manual classification of public health expenditures to determine if machines could provide a faster, cheaper alternative to manual classification.
Public health is what we do together as a society to ensure the conditions in which everyone can be healthy. Although many sectors play key roles, governmental public health is an essential component. Recent stressors on public health are driving many local governments to pioneer a new Public Health 3.0 model in which leaders serve as Chief Health Strategists, partnering across multiple sectors and leveraging data and resources to address social, environmental, and economic conditions that affect health and...
Approximately 25% of the public health workforce plans to retire by 2020. Succession planning is a core capability of the governmental public health enterprise; however, limited data are available regarding these efforts in state health agencies (SHAs).
Routine data collection efforts are a necessary, often underappreciated, component of nearly all cancer research and prevention efforts. Public health cancer surveillance data are crucial for identifying needs, planning interventions, directing public health resources, and evaluating the overall effectiveness of initiatives aimed at preventing or treating cancer and its negative health consequences. As the nation's health protection agency, the Centers for Disease Control and Prevention (CDC) provides resou...
Intensified and extensive data production and data storage are characteristics of contemporary western societies. Health data sharing is increasing with the growth of Information and Communication Technology (ICT) platforms devoted to the collection of personal health and genomic data. However, the sensitive and personal nature of health data poses ethical challenges when data is disclosed and shared even if for scientific research purposes.With this in mind, the Science and Values Working Group of the COST...
The National Institute for Health and Care Excellence (NICE) has an explicit mandate to include patient and public involvement in the appraisal of medicines to be available for funding on the NHS. NICE involves an appraisal committee who are required to take on board experiential evidence from patient experts alongside population-based evidence on clinical and cost-effectiveness when making a decision whether to fund a drug.
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...
It is important to record and measure public health impact, not least because they highlight the work of healthcare professionals, encourage continued investment in public health and demonstrate the value of public health services to commissioners.
We review the history and evolution of Project Public Health Ready and demonstrate why it is considered a best practice in public health preparedness planning. Previous articles on this program have described its impact on single health departments. We provide background information, review successes and challenges to date, and inform public health practitioners about a vetted tool for local public health planners to develop capacity and capability in all-hazards planning and response.
The ability to generate high-quality sequence data in a public health laboratory enables the identification of pathogenic strains, the determination of relatedness among outbreak strains, and the analysis of genetic information regarding virulence and antimicrobial-resistance genes. However, the analysis of whole-genome sequence data depends on bioinformatic analysis tools and processes. Many public health laboratories do not have the bioinformatic capabilities to analyze the data generated from sequencing ...
The Health and Social Care Act 2012 gave councils in England responsibility for improving the health of their populations. Public health teams were transferred from the National Health Service (NHS), accompanied by a ring-fenced public health grant. This study examines the changing role of these teams within local government.
Imported schistosomiasis is of significant public health importance and is likely to be underestimated since infection is often asymptomatic. We describe data from travellers residing in Scotland which includes a subset of group travellers from one of the largest Health Boards in Scotland.
Public health researchers, mental health clinicians, philosophers, and medical ethicists have questioned whether the public health benefits of large-scale anti-tobacco campaigns are justified in light of the potential for exacerbating stigma toward patients diagnosed with lung cancer. Although there is strong evidence for the public health benefits of anti-tobacco campaigns, there is a growing appreciation for the need to better attend to the unintended consequence of lung cancer stigma. We argue that there...
Opportunities for digital innovation in public health surveillance have never been greater. Social media data streams, Open Data initiatives, mHealth geotagged data, and the 'internet of things' are ripe for development. To embrace these opportunities we need to provide public health professionals with environments that support experimentation with new technology. Innovative practitioners will lead discovery, adaption, trialling and deployment of new technological solutions mostly developed outside their or...
Given challenges to recruiting nurses to public health and the growth in national policies focused on population health, it is crucial that public health agencies develop strategies to sustain this important group of employees. The objective of this study was to examine factors that influence nurses' decisions to work in public health agencies.
Public health workforce size and composition have been difficult to accurately determine because of the wide variety of methods used to define job title terms, occupational categories, and worker characteristics. In 2014, a preliminary consensus-based public health workforce taxonomy was published to standardize the manner in which workforce data are collected and analyzed by outlining uniform categories and terms. We summarize development of the taxonomy's 2017 iteration and provide guidelines for its impl...
Public health status of populations is multifactorial and besides other factors it is linked to war and conflict. Public health crisis can erupt when states go to war or are invaded; health security may be reduced for affected populations.
Clinical business intelligence tools such as clinical data warehouse enable health care organizations to objectively assess the disease management programs that affect the quality of patients' life and well-being in public. The purpose of these programs is to reduce disease occurrence, improve patient care, and decrease health care costs. Therefore, applying clinical data warehouse can be effective in generating useful information about aspects of patient care to facilitate budgeting, planning, research, pr...