Medicine and Health Sciences Commons^™

A Data-Driven Behavior Modeling And Analysis Framework For Diabetic Patients On Insulin Pumps, Sanjian Chen, Lu Feng, Michael Rickels, Amy Peleckis, Oleg Sokolsky, Insup Lee

Oleg Sokolsky

About 30%-40% of Type 1 Diabetes (T1D) patients in the United States use insulin pumps. Current insulin infusion systems require users to manually input meal carb count and approve or modify the system-suggested meal insulin dose. Users can give correction insulin boluses at any time. Since meal carbohydrates and insulin are the two main driving forces of the glucose physiology, the user-specific eating and pump-using behavior has a great impact on the quality of glycemic control.

In this paper, we propose an “Eat, Trust, and Correct” (ETC) framework to model the T1D insulin pump users’ behavior. We use machine learning …

Security Risk Management In Healthcare: A Case Study, Humayun Zafar

Humayun Zafar

We investigated the effectiveness of a security risk management program at a large healthcare institution. Using a survey, we explored how nine critical success factors : executive management support, organizational maturity, open communication, risk management stakeholders, team member empowerment, holistic view for an organization, security maintenance, corporate security strategy, and human resource development impacted SRM effectiveness.

Learning Objectives:

• Introduce the audience to security risk management in a healthcare setting.
• Explain the value of unstructured interviews in the healthcare context.
• Highlight potential for future research in this area.

Measurement Error In Performance Studies Of Health Information Technology: Lessons From The Management Literature, Adam Seth Litwin, Ariel Avgar, Peter Pronovost

Adam Seth Litwin

Just as researchers and clinicians struggle to pin down the benefits attendant to health information technology (IT), management scholars have long labored to identify the performance effects arising from new technologies and from other organizational innovations, namely the reorganization of work and the devolution of decision-making authority. This paper applies lessons from that literature to theorize the likely sources of measurement error that yield the weak statistical relationship between measures of health IT and various performance outcomes. In so doing, it complements the evaluation literature’s more conceptual examination of health IT’s limited performance impact. The paper focuses on seven issues, …

Explaining The Health Information Technology Paradox, Ariel Avgar, Adam Seth Litwin

Adam Seth Litwin

Excerpt] The substantial gap between the promise inherent in upgrading information systems in health care and the documented reality has baffled health care scholars. Why is a technology so clearly capable of creating efficiencies, increasing safety, and promoting greater information sharing and coordination across professionals failing to live up to expectations?