Creating value in health care through big data: opportunities and policy implications.

By Joachim Roski, G. Bo‐Linn, T. Andrews. Health Affairs, 2014

309 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results (2020, background): “For example, patients might be concerned about sharing their medical data, due to the risk that it will be shared with employers or used for future health insurance decision-making if their data are stored and accessed by multiple users, even when deidentiﬁed [5].”
Concurrence of big data analytics and healthcare: A systematic review (2018, background): “[31] Big data–that is, the sophisticated and rapid analysis of massive amounts of diverse Information”
A review of automatic selection methods for machine learning algorithms and hyper-parameter values (2016, background): “According to the current trend, the volume of healthcare data is expected to increase from 500 petabytes in 2012 to 25,000 petabytes by 2020 (Roski et al. 2014).”
Medical big data: promise and challenges (2017, background): “The potential value of medical big data has been demonstrated in: 1) the delivery of personalized medicine; 2) the use of clinical decision support systems such as automated analysis of medical images and the mining of medical literature; 3) tailoring diagnostic and treatment decisions and education”