TY - GEN
T1 - Using the work system theory to bring big data analytics to the inpatient point of care
AU - Heart, Tsipi
AU - Ben-Assuli, Ofir
AU - Shlomo, Nir
N1 - Publisher Copyright:
© International Conference on Information Systems 2018, ICIS 2018.All rights reserved.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Big data analytic tools can significantly improve clinical decisions, yet they are difficult to use at the point of care. A big data tool should show strong predictive power to be useful at the point of care, as well as harmoniously integrate within the clinical processes. In this paper we report on a prediction tool for CHF patients' readmission or death, and show its strength. We chose the WST and the WSLC as the theory underlying the design and implementation processes aimed at bringing such a tool to the point of care. In future research, we will further improve our prediction tool by adding classification algorithms, and elaborate on relationships among the WST elements, for the WS to be in harmony. We hypothesize that the methods employed for the tool development and the lessons derived from the WST adaptation would be generalizable to similar medical clinics.
AB - Big data analytic tools can significantly improve clinical decisions, yet they are difficult to use at the point of care. A big data tool should show strong predictive power to be useful at the point of care, as well as harmoniously integrate within the clinical processes. In this paper we report on a prediction tool for CHF patients' readmission or death, and show its strength. We chose the WST and the WSLC as the theory underlying the design and implementation processes aimed at bringing such a tool to the point of care. In future research, we will further improve our prediction tool by adding classification algorithms, and elaborate on relationships among the WST elements, for the WS to be in harmony. We hypothesize that the methods employed for the tool development and the lessons derived from the WST adaptation would be generalizable to similar medical clinics.
KW - Congestive heart failure
KW - Data analytics
KW - Predictive analytics
KW - Work system theory
UR - http://www.scopus.com/inward/record.url?scp=85062555046&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85062555046
T3 - International Conference on Information Systems 2018, ICIS 2018
BT - International Conference on Information Systems 2018, ICIS 2018
PB - Association for Information Systems
T2 - 39th International Conference on Information Systems, ICIS 2018
Y2 - 13 December 2018 through 16 December 2018
ER -