TY - JOUR
T1 - Big data analytics
T2 - Understanding its capabilities and potential benefits for healthcare organizations
AU - Wang, Yichuan
AU - Kung, Lee Ann
AU - Byrd, Terry Anthony
N1 - Publisher Copyright: © 2016 Elsevier Inc.
PY - 2018/1
Y1 - 2018/1
N2 - To date, health care industry has not fully grasped the potential benefits to be gained from big data analytics. While the constantly growing body of academic research on big data analytics is mostly technology oriented, a better understanding of the strategic implications of big data is urgently needed. To address this lack, this study examines the historical development, architectural design and component functionalities of big data analytics. From content analysis of 26 big data implementation cases in healthcare, we were able to identify five big data analytics capabilities: analytical capability for patterns of care, unstructured data analytical capability, decision support capability, predictive capability, and traceability. We also mapped the benefits driven by big data analytics in terms of information technology (IT) infrastructure, operational, organizational, managerial and strategic areas. In addition, we recommend five strategies for healthcare organizations that are considering to adopt big data analytics technologies. Our findings will help healthcare organizations understand the big data analytics capabilities and potential benefits and support them seeking to formulate more effective data-driven analytics strategies.
AB - To date, health care industry has not fully grasped the potential benefits to be gained from big data analytics. While the constantly growing body of academic research on big data analytics is mostly technology oriented, a better understanding of the strategic implications of big data is urgently needed. To address this lack, this study examines the historical development, architectural design and component functionalities of big data analytics. From content analysis of 26 big data implementation cases in healthcare, we were able to identify five big data analytics capabilities: analytical capability for patterns of care, unstructured data analytical capability, decision support capability, predictive capability, and traceability. We also mapped the benefits driven by big data analytics in terms of information technology (IT) infrastructure, operational, organizational, managerial and strategic areas. In addition, we recommend five strategies for healthcare organizations that are considering to adopt big data analytics technologies. Our findings will help healthcare organizations understand the big data analytics capabilities and potential benefits and support them seeking to formulate more effective data-driven analytics strategies.
UR - http://www.scopus.com/inward/record.url?scp=84975781055&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84975781055&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/j.techfore.2015.12.019
DO - https://doi.org/10.1016/j.techfore.2015.12.019
M3 - Article
SN - 0040-1625
VL - 126
SP - 3
EP - 13
JO - Technological Forecasting and Social Change
JF - Technological Forecasting and Social Change
ER -