How to filtering false positives is a fundamental problem of IDS. Constructing alert classification model is one of efficient methods. However, the high cost of preparing training data and classification feature selection are key points in the problem. This paper gives a semi-supervised alert classification model which makes use of the power of semisupervised learning. Moreover, four classifica...

Errors in medication self-administration (MSA) lead to poor treatment adherence, increased hospitalizations and higher healthcare costs. These errors are particularly common when delivery involves devices such as inhalers or insulin pens. We present a contactless unobtrusive artificial intelligence (AI) framework that can detect monitor MSA by analyzing the wireless signals patient’s home, with...

Developing methods that can identify important patterns in complex large-scale temporal datasets is one of the key challenges in machine learning and data mining research. Our work focuses on the development of methods that can, based on past data, identify unusual patient-management actions in the Electronic Medical Record (EMR) of the current patient and raise alerts if such actions are encou...

1. Hunt, D.L., et al., Effects of computer-based clinical decision support systems on physician performance and patient outcomes. JAMA, 1998. 280(15): p. 13391346. 2. Kuperman, G.J., et al., Medication-related clinical decision support in computerized provider order entry systems: a review.JAMIA, 2007. 14(1): p. 29-40. 3. Phansalkar, S., et al., A review of human factors principles for the desi...

OBJECTIVE This study sought to explore the relationship of workarounds related to the implementation of an electronic medication administration record and medication safety practices in five Midwestern nursing homes. DESIGN As a part of a larger study, this qualitative evaluation was conducted to identify workarounds associated with the implementation of an electronic medication administratio...

In this paper we analyze the use of different types of statistical tests for the correlation of anomaly detection alerts. We show that the Granger Causality Test, one of the few proposals that can be extended to the anomaly detection domain, strongly depends on good choices of a parameter which proves to be both sensitive and difficult to estimate. We propose a different approach based on a set...

PURPOSE To highlight the potential errors that may occur with insulin use in the inpatient setting and to describe how pharmacists can be part of the solution by implementing practices that reduce the likelihood of insulin-related medication errors. SUMMARY Insulin is a drug with a low therapeutic index, and it bears a heightened risk of causing significant patient harm when used in error, ma...