Date of Award

8-11-2017

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Applied Science

First Advisor

Ningning Wu

Abstract

The cost of Information Technology in the US per year is estimated at 1.7 trillion of dollars with an estimated 7.6 billion in healthcare (Hillestad, et al., 2005). While this seems to be a large investment that should produce substantial returns regarding quality care, patient safety, and improved healthcare, there appears to be a distrust of data between Information Technology (IT) and the medical industry/systems (Holden & Karsh, 2009), (Holden & Karsh, 2010). The distrust of the data that can arise from data shared between biomedical devices, IT systems can become evident when proper policies, and procedures are not in place. The assumption that all the data gathered via an interface or device will be of a quality nature to the receiving system is not necessarily correct. The issues that were researched include data quality and the problems that can arise from the implementation of new IT systems (Holden & Karsh, 2009). The research utilized a case study approach at various hospitals. The case studies were conducted using interviews, surveys and collecting existing data. The case studies used data that was generated pre-implementation of the projects and post- implementation. The settings (environment or culture) of the data collection can have a direct reflection on the end user's perspective (Shortliffe, 2005). By using both qualitative and quantitative data, a case study can examine both the processes and the outcome of distrust of data between IT and Clinical areas (Zainal, 2007). This research is important from the standpoint of integration/quality, in how a project is conducted and how it will benefit users in the future and hopefully with the development of an operational framework for integration and IQ (Vedvik, Faxvaag, & Tjora, 2009). Few studies are available for IT or medical staffs to study for improving projects (Amarasingham, Plantinga, Diener-West, Gaskin, & Powe, 2009) (Chaudhry, et al., 2006). The research that has been completed to this point suggests that research is being performed on interoperability of device and IT with most looking at patient outcomes but not on the data transfer quality (Directors, 2005) (Chaudhry, et al., 2006) (Amarasingham, Plantinga, Diener-West, Gaskin, & Powe, 2009).

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