@inproceedings{ecea822cac6448a48a2616a55d3d1ff9,
title = "Anomaly detection in sequential health care data using higher-order network representation",
abstract = "The ever-increasing use of information technology (IT) in health care presents new challenges to patient care. Information errors arising from the use of Health IT and their implications on care delivery and patient outcomes have been widely reported. Information errors can lead to changes in clinical decisions, care processes, and care outcomes, among others. An altered care process, for example, could interrupt the sequence of care, which could lead to changes in care decisions and/or changes in care outcomes. We define interruptions in the care process as anomalies in the care sequence. In this paper, we present a new approach based on the higher-order network (HON) representation to detect anomalies in sequential health care data using electronic health records. The results show that there are higher-order dependencies in health care data; and that the use of HON representation is more effective than the first-order network representation for detecting anomalies in sequential health care data.",
keywords = "Electronic health records, Higher-order dependency, Process improvement, Process monitoring, System reliability",
author = "Haoran Niu and Omitaomu, {Olufemi A.} and Qing Cao and Ozgur Ozmen and Klasky, {Hilda B.} and Olama, {Mohammed M.} and Pullum, {Laura L.} and Teja Kuruganti and Merry Ward and Angela Laurio and Scott, {Jean M.} and Frank Drews and Nebeker, {Jonathan R.}",
note = "Publisher Copyright: {\textcopyright} Proceedings of the 2020 IISE Annual. All Rights Reserved.; 2020 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2020 ; Conference date: 01-11-2020 Through 03-11-2020",
year = "2020",
language = "English",
series = "Proceedings of the 2020 IISE Annual Conference",
publisher = "Institute of Industrial and Systems Engineers, IISE",
pages = "813--818",
editor = "L. Cromarty and R. Shirwaiker and P. Wang",
booktitle = "Proceedings of the 2020 IISE Annual Conference",
}