scholarly journals Big data, ethics, and regulations: Implications for consent in the learning health system

2018 ◽  
Vol 45 (10) ◽  
pp. e845-e847 ◽  
Author(s):  
Kayte Spector-Bagdady ◽  
Reshma Jagsi
Processes ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. 613 ◽  
Author(s):  
Rafael Carnicero ◽  
David Rojas ◽  
Ignacio Elicegui ◽  
Javier Carnicero

This article identifies the main challenges of the National Health Service of Spain and proposes its transformation into a Learning Health System. For this purpose, the main indicators and reports published by the Spanish Ministries of Health and Finance, Organization for Economic Co-operation and Development (OECD) and World Health Organization (WHO) were reviewed. The Learning Health System proposal is based on some sections of an unpublished report, written by two of the authors under request of the Ministry of Health of Spain on Big Data for the National Health System. The main challenges identified are the rising old age dependency ratio; health expenditure pressures and the likely increase of out-of-pocket expenditure; drug expenditures, both retail and consumed in hospitals; waiting lists for surgery; potentially preventable hospital admissions; and the use of electronic health record (EHR) data to fulfil national health information and research objectives. To improve its efficacy, efficiency, and quality, the National Health Service of Spain should be transformed into a Learning Health System. Information and communication technologies (IT) enablers are a fundamental tool to address the complexity and vastness of health data as well as the urgency that clinical and management decisions require. Big Data solutions are a perfect match for that problem in health systems.


2016 ◽  
Vol 6 (9) ◽  
Author(s):  
Edward Abraham ◽  
◽  
Carlos Blanco ◽  
Celeste Castillo Lee ◽  
Jennifer B. Christian ◽  
...  

Author(s):  
Julia M. Puaschunder
Keyword(s):  
Big Data ◽  

2021 ◽  
Author(s):  
Jennie David ◽  
Catalina Berenblum Tobi ◽  
Samantha Kennedy ◽  
Alexander Jofriet ◽  
Madeleine Huwe ◽  
...  

2018 ◽  
Vol 38 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Wenhong Chen ◽  
Anabel Quan-Haase

The hype around big data does not seem to abate nor do the scandals. Privacy breaches in the collection, use, and sharing of big data have affected all the major tech players, be it Facebook, Google, Apple, or Uber, and go beyond the corporate world including governments, municipalities, and educational and health institutions. What has come to light is that enabled by the rapid growth of social media and mobile apps, various stakeholders collect and use large amounts of data, disregarding the ethics and politics. As big data touch on many realms of daily life and have profound impacts in the social world, the scrutiny around big data practice becomes increasingly relevant. This special issue investigates the ethics and politics of big data using a wide range of theoretical and methodological approaches. Together, the articles provide new understandings of the many dimensions of big data ethics and politics, showing it is important to understand and increase awareness of the biases and limitations inherent in big data analysis and practices.


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