scholarly journals A review of big data in health care: challenges and opportunities

2014 ◽  
pp. 13 ◽  
Author(s):  
Susan White
Author(s):  
Abhishek Bajpai ◽  
Dr. Sanjiv Sharma

As the Volume of the data produced is increasing day by day in our society, the exploration of big data in healthcare is increasing at an unprecedented rate. Now days, Big data is very popular buzzword concept in the various areas. This paper provide an effort is made to established that even the healthcare industries are stepping into big data pool to take all advantages from its various advanced tools and technologies. This paper provides the review of various research disciplines made in health care realm using big data approaches and methodologies. Big data methodologies can be used for the healthcare data analytics (which consist 4 V’s) which provide the better decision to accelerate the business profit and customer affection, acquire a better understanding of market behaviours and trends and to provide E-Health services using Digital imaging and communication in Medicine (DICOM).Big data Techniques like Map Reduce, Machine learning can be applied to develop system for early diagnosis of disease, i.e. analysis of the chronic disease like- heart disease, diabetes and stroke. The analysis on the data is performed using big data analytics framework Hadoop. Hadoop framework is used to process large data sets Further the paper present the various Big data tools , challenges and opportunities and various hurdles followed by the conclusion.                                      


2016 ◽  
Vol 4 (4) ◽  
pp. e38 ◽  
Author(s):  
Clemens Scott Kruse ◽  
Rishi Goswamy ◽  
Yesha Raval ◽  
Sarah Marawi

Author(s):  
Meet Hire ◽  
Mayur Gavande ◽  
Krupit Chovatiya ◽  
Aditya Tekale ◽  
Mr. Pritesh Patel ◽  
...  

Big data analytics offers promise in many business sectors, and health care is looking at big data to provide answers to many age-related issues, particularly dementia and chronic disease management. The purpose of this review was to summarize the challenges faced by big data analytics and the opportunities that big data opens in health care. The top challenges were issues of data structure, security, data standardization, storage and transfers, and managerial skills such as data governance. The top opportunities revealed were quality improvement, population management and health, early detection of disease, data quality, structure, and accessibility, improved decision making, and cost reduction.


Author(s):  
Philip Habel ◽  
Yannis Theocharis

In the last decade, big data, and social media in particular, have seen increased popularity among citizens, organizations, politicians, and other elites—which in turn has created new and promising avenues for scholars studying long-standing questions of communication flows and influence. Studies of social media play a prominent role in our evolving understanding of the supply and demand sides of the political process, including the novel strategies adopted by elites to persuade and mobilize publics, as well as the ways in which citizens react, interact with elites and others, and utilize platforms to persuade audiences. While recognizing some challenges, this chapter speaks to the myriad of opportunities that social media data afford for evaluating questions of mobilization and persuasion, ultimately bringing us closer to a more complete understanding Lasswell’s (1948) famous maxim: “who, says what, in which channel, to whom, [and] with what effect.”


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
H Hilderink

Abstract The four-year Public Health Foresight Study (VTV) provides insight into the most important societal challenges for public health and health care in the Netherlands. The seventh edition of the Dutch Public Health Foresight study was published in 2018, with an update in 2020. In this update a business-as-usual or Trend Scenario was developed using 2018 as a base year. In the trend scenario demographic and epidemiological projections have been used to depict the future trends regarding ageing, health, disease, health behaviors, health expenditures and health inequalities. Next, these trends are used to identify the most important future challenges and opportunities for public health. In the 2020 update, special attentions is given to climate change and the local living environment and their impacts and interaction with public health outcomes. Trends in lifestyle-related lifestyle show both positive (smoking prevalence) and negative (overweight prevalence) future developments. Dementia will be the leading cause of mortality and disease burden in 2040 by far. Health care expenditures will double by 2040, with cancers showing the most rapid growth of all disease groups. The insights of this study are directly used as input for the National Health Policy Memorandum and for the National Prevention Accord.


2021 ◽  
pp. 074391562199903
Author(s):  
Praveen K. Kopalle ◽  
Donald R. Lehmann

This paper highlights some benefits to and issues with the application of big data and analytics, with emphasis on its role in health care. It considers both its effectiveness/value (i.e., how it can be used) and concerns about its use related to privacy and acceptance by individuals (i.e., how it should be used)


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