The Effect Of Big Data On Public Health By Government Of India

There is no doubt in that technology has multifaceted benefits but, at the same time, it has forced mankind to feel insecure. Every industry depends upon the data of the customers and the health industry is no more an exception here. The data of each patient is shared to facilitate health itself and for more rigorous and authentic research. Hence, protecting patient data is very important. It is so important that in 1996, the federal government introduced the Health Insurance

Another strategy would involve utilizing data from existing public sources to assess the health and safety needs of the people of Utah County. The main elements of the collected data would involve the identification of the key health indicators and the corresponding risk factors. I would also collect information related to the impact of the social, economic and the environment on the health status of Utah inhabitants. The key sources of data for the assessment of needs of Utah populations would include US census bureau, healthy people 2020, environment public health tracking program, department of mental health and substance abuse and Utah hospital discharge database. Other sources of information for the need assessment would include the indicator based information system indicator for the public health department and Utah’s healthcare access survey (Niederdeppe, Bu, Borah, Kindig & Robert, 2008). I

The advantages of the use of secondary data in needs assessment, design and implementation of intervention measures, and policy changes are numerous. Secondary data are less expensive, this implies that time, money and other resources are saved (Healey & Zimmerman, 2010). My focus for this discussion is Case Study 2, which addressed the health needs assessment of the Waupaca County. Waupaca County, Wisconsin is a rural community of over 50,000 residents (Gilmore, 2012). Given that, it is a popular tourist location, and the survey given had a clause of “do not complete if you are not a city resident”, there exists a chance that all data obtained by primary sources might not be without errors, as tourists might erroneously fill out the survey. Consequently, the secondary method I will apply to collection of data is the use of the American Fact Finder from the United States Census Bureau (n.d.).

New York City Department of Health and Mental Hygiene. (2006). Community Health Profiles: South Shore Staten Island. Retrieved from http://www.nyc.gov/html/doh/downloads/pdf/data/2006chp-504.pdf

With the growing ability of organizations to capture and analyze large batches of data, there are ever-increasing possibilities for the development of healthcare studies utilizing Big Data’s promise of advancement in data processing. These tools can benefit the field of healthcare by treating data as an asset to be managed, as well as providing new insights into genomic development of large populations that were previously not fathomable. The health care industry is one sector of the economy where data analysis presents great opportunities for improvement in the quality of services provided, but with these possibilities come great challenges in collecting, utilizing, and education the next generation of data stewards, and the NIH is sure to look to global models for data quality in carrying out their new directive.

I have chosen to focus my paper on the city of Hartford Connecticut. Identifying the right data source to obtain information is very important for managing and targeting the right population in the disease management process. Information can be found in many places, but finding credible sources is very important to assess the community and compare to the nationwide problems.

Krieger, N., Chen, J. T., Waterman, P. D., Rehkopf, D. H., & Subramanian, S. V. (2005). Painting a Truer Picture of US Socioeconomic and Racial/Ethnic Health Inequalities: The Public Health Disparities Geocoding Project. American Journal Of Public Health, 95(2), 312.

An additional component of healthcare is data. This is important because this allows health professionals to gather and analyze information to complete the task at hand the best way possible. This would allow doctors and nurses to be able to treat patients the most efficient way while trying to keep cost relatively low at the same time. Moreover, if the health

1) Big Data in Health Care via EHR: - Big data in healthcare comprises of 4 major components: - a) Volume of Data b) Variety of Data c) Velocity of Data flow and d) Veracity of Data. Big Data represents the tools, processes and procedures

After I read “The Challenge: Moyen Sante Medical Sente, Chapter 7,” I learned how big data and data warehouses had caused a positive impact on health informatics. These impacts have reduced hospital readmissions, which has been a big setback for hospitals and healthcare organizations. The analytics system has caused health care systems to transform their health care system as they improve their information technology. Moreover, this may help advance the awareness of practitioner’s psychological decisions making especially towards data sources. As Ana and Ima showed a sign of agreement regarding the improve of their MSMC healthcare system in the future, Sarah provided a short video that intended to help answer the questions they were seek, such

Also, ‘big data’ analytics and aggregated patient data may be able to alert providers to larger health trends such as potential outbreaks and which flu strains are prominent during each flu season.

Today, it seems as if everyone is connected through his or her own cell phone. With this they create data and information, intentionally or not using them. This information can be collected from applications, text messaging, and simple just walking around with a cell phone connected. This data may be analyzed computationally to reveal patterns, trends, and other association relating to human behavior. The creation and use of this data is what today’s society puts under the large umbrella of big data. This paper discusses the ethics of collection practices and use of big data.

Big data is an interesting concept, in which people use data to analyze trends, patterns, and associations and make use of these revelations to predict outcomes. You are using data every day that is being recorded to identify people’s desires and requests, and more specifically your desires and requests. Big data is used in retail, government, healthcare, car companies, and education, basically everywhere. Big data can allow for great advancements and prevention in all aspects of life, more specifically in healthcare. Big data is important to healthcare, because it can allow professionals to identify who has a greater risk of a disease and thus allows early detection and prevention. It allows tracking which medicine is more effective than the other. It allows for healthcare providers to have better records and accuracy in each and every patient. Big data is important to healthcare and here is why.

As we know, for delivering good qualitative service in healthcare industry, data plays an important role. So it’s necessary to understand the fact that the big data must be used in a right way to make health service industries successful. For managing and analysing the big data it’s important to have a good knowledge about the healthcare data complexity, framework, technologies for “big data analytics in healthcare industries”.

The work introduces the definition of public health informatics and highlights the various ways that the field has developed. The specific challenges that the field faces has also been emphasized. The latter stages of the report exemplify the concerns that have emerged and the possible future of the field.