National health insurance programs in the United States.
Published in Chapter:
Big Data: Its Implications on Healthcare and Future Steps
Shannon Wai Yi Yee (University of California – Davis, USA), Carolina Gutierrez (University of California – Los Angeles, USA), Caroline Narae Park (University of California – Davis, USA), Danny Lee (University of California – Berkeley, USA), and Scott Lee (University of California – Berkeley, USA)
Copyright: © 2020
|Pages: 18
DOI: 10.4018/978-1-7998-0047-7.ch005
Abstract
In the last three decades, big data has been applied to diverse fields, such as the government, international development, and education. It is only now that the US healthcare system has begun to explore its under-utilized data. Big data is not only referencing the quantity, but also the complexity, diversity, and relativity of the information. This information may be analyzed to reveal patterns, trends, and associations that may be applicable to the healthcare field. This information can be gathered through sources, such as EHRs, IRIS registry, and MIPS. Recognizing patterns would aid in predicting preventative measures for an increased holistic and personalized patient care. Although big data proves to have endless beneficial applications, it can bring into question the ownership of this information. Additionally, big data poses a risk for security breaches, and thus, precautionary measures will also be discussed. Ultimately, the emergence of big data creates an exhilarating frontier for healthcare with its unlimited possibilities.