The 'big data' revolution in healthcare: Accelerating value and innovation

By Peter Groves, Basel Kayyali, D. Knott, S. Kuiken. 2016

537 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/056d86a6599429db18a31ec04d037589295e9028

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Citations in the corpus

Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations (2018, background): “Healthcarerelated data such as activity and cost data, clinical data, pharmaceutical R&D data, patient behavior and sentiment data are commonly collected in real time or near real time from payers, healthcare services, pharmaceutical companies, consumers and stakeholders outside healthcare (Groves e”
The use of Big Data Analytics in healthcare (2022, background): “In addition, advanced analytical tools allow to analyze data from all possible sources and conduct cross-analyses to provide better data insights [26].”
Big healthcare data: preserving security and privacy (2018, background): “Based on the results, it may reassess the medicines prices and market access terms [9].”
Big data privacy: a technological perspective and review (2016, background): “In healthcare, several factors provide the necessary impetus to harness the power of big data [59].”
Disease Prediction by Machine Learning Over Big Data From Healthcare Communities (2017, background): “I. INTRODUCTION According to a report by McKinsey [1], 50% of Americans have one or more chronic diseases, and 80% of American medical care fee is spent on chronic disease treatment.”
DeepCare: A Deep Dynamic Memory Model for Predictive Medicine (2016, background): “It is expected that EMRs in hospital help improve treatment quality and reduce healthcare costs [19].”
A Survey on Big Data Market: Pricing, Trading and Protection (2018, background): “As an example, based on sufficient information, manufacturers are able to maximally match the requirements for many different consumers with product differentiation, and service providers are able to refine their service plans to improve and target their services to their customers [85].”
Artificial Intelligence in Surgery: Promises and Perils (2018, background): “savings between $300 and $450 billion annually in the United alone, 65 there is great economic incentive to incorporate AI and data into multiple elements of our healthcare system.”
Artificial intelligence and innovation management: A review, framework, and research agenda✰ (2021, background): “However, AI can provide instrumental assistance beyond the scope of humans (Groves et al., 2013; Wamba et al., 2017).”
Big data analytics in supply chain management between 2010 and 2016: Insights to industries (2018, background): “Groves et al. (2013) defined several values from big data application in healthcare: there are right living, right care, right provider, right value and right innovation.”