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Big Data and Health: From New Zealand to the UK Dr Fran DarlingtonPollock Geographic Data Science Lab | University of Liverpool Using big data to tackle inequalities in society: University of Auckland,
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Big data in health refers to the vast volumes of health-related data collected from various sources, including electronic health records, social media, wearable devices, and genomic sequencing. This data is analyzed to improve patient outcomes, enhance research, and optimize healthcare services.
Healthcare organizations, providers, researchers, and other stakeholders involved in the collection and use of health-related big data are required to file information related to big data and health, depending on their jurisdiction and specific regulations.
To fill out big data and health filings, entities must gather relevant data, ensure compliance with data privacy laws, and follow standardized reporting formats as provided by regulatory agencies or governing bodies.
The purpose of big data in health is to leverage large sets of health information for better decision-making, improved patient care, enhanced research capabilities, and effective public health interventions.
Entities must report information such as types of data collected, data sources, methodologies used for analysis, privacy measures in place, and outcomes or findings derived from the data.
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