Big data analytics in healthcare: promise and potential
Аналитика больших данных в здравоохранении: перспективы и потенциал
2014-02-07
SCID: 54.1/5q8ef9bp
Discuss with AI
architectural frameworkbig data analyticshealthcare analyticshealthcare outcomeslarge data sets
Figures from the paper
Abstract (AI)
OBJECTIVE: To describe the promise and potential of big data analytics in healthcare. METHODS: The paper describes the nascent field of big data analytics in healthcare, discusses the benefits, outlines an architectural framework and methodology, describes examples reported in the literature, briefly discusses the challenges, and offers conclusions. RESULTS: The paper provides a broad overview of big data analytics for healthcare researchers and practitioners. CONCLUSIONS: Big data analytics in healthcare is evolving into a promising field for providing insight from very large data sets and improving outcomes while reducing costs. Its potential is great; however there remain challenges to overcome.
Key Findings
1
Big data analytics is an emerging healthcare field capable of extracting insights from very large datasets.
2
Despite substantial promise, important technical and practical challenges remain unresolved.
3
Healthcare big data analytics has potential to improve patient and healthcare outcomes while reducing costs.
4
The paper outlines an architectural framework and methodology for applying big data analytics in healthcare.
5
The paper provides a broad overview of benefits and applications for healthcare researchers and practitioners.
Research Object
Big data analytics in healthcare
Research Subject
the promise, potential, benefits, challenges, and implications for improving healthcare outcomes and reducing costs
Publication Details
Publication Date
2014-02-07
Journal
Publisher
ISSN
Open access PDF
Access Type
Author Information
Download PDF
Subscribe to digest