Title |
The application of Big Data in medicine: current implications and future directions
|
---|---|
Published in |
Journal of Interventional Cardiac Electrophysiology, January 2016
|
DOI | 10.1007/s10840-016-0104-y |
Pubmed ID | |
Authors |
Christopher Austin, Fred Kusumoto |
Abstract |
Since the mid 1980s, the world has experienced an unprecedented explosion in the capacity to produce, store, and communicate data, primarily in digital formats. Simultaneously, access to computing technologies in the form of the personal PC, smartphone, and other handheld devices has mirrored this growth. With these enhanced capabilities of data storage and rapid computation as well as real-time delivery of information via the internet, the average daily consumption of data by an individual has grown exponentially. Unbeknownst to many, Big Data has silently crept into our daily routines and, with continued development of cheap data storage and availability of smart devices both regionally and in developing countries, the influence of Big Data will continue to grow. This influence has also carried over to healthcare. This paper will provide an overview of Big Data, its benefits, potential pitfalls, and the projected impact on the future of medicine in general and cardiology in particular. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 2 | 33% |
India | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Scientists | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | <1% |
Unknown | 194 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 39 | 20% |
Researcher | 22 | 11% |
Student > Ph. D. Student | 20 | 10% |
Student > Bachelor | 19 | 10% |
Student > Doctoral Student | 11 | 6% |
Other | 34 | 17% |
Unknown | 50 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 35 | 18% |
Medicine and Dentistry | 28 | 14% |
Business, Management and Accounting | 14 | 7% |
Social Sciences | 10 | 5% |
Engineering | 10 | 5% |
Other | 38 | 19% |
Unknown | 60 | 31% |