Decision Support in Healthcare Supply Chain Management and Pharmaceutical Inventory Control

This exploratory research examines the pharmaceutical inventory control practices of a local area hospital and demonstrates the utility of two alternative quantitative approaches. Pharmaceuticals represent a large cost factor for most hospitals due to the significant costs of these products and the storage and control requirements. The hospital stores drugs in the Central Pharmacy and at various Care Units (CUs) throughout the hospital and employs advanced technology to manage inventory and automate the ordering processes at these local storage units. This research examines current hospital policies, employs quantitative methods to improve upon these practices, and provides a decision support tool that allows managers to quickly understand operational, tactical, and strategic implications of changes in the formulary (pharmaceutical product mix available in hospital). This decision support tool affords managers the opportunity to improve management practices and the capacity to support negotiations with stakeholders on issues related to the formulary

Conducting Social Cognition Research in IS: A Methodology for Eliciting and Analyzing Social Representations

This paper presents a methodology for socio-cognitive research based on the theory of social representations. Elements of the methodology include:1) data elicitation through free word association; 2) content analysis/coding to identify key concepts in the social representation; 3) analysis of the structure of the representation using analysis of similarity and core/periphery analysis; 4) correspondence analysis to place the concepts on a perceptual space; and 5) interpretation of the social representation. The methodology is demonstrated in use through a study examining early sense-making about electronic health records (EHRs). Analysis of qualitative survey data from 190 students identified 22 concepts forming the social representation. Merits of the methodology are discussed, including its potential value for investigations based on technology frames of reference (TFR), the social construction of technology (SCOT) and organizing visions for IT innovations

Building Legitimacy for IT Innovations: The Case of Computerized Physician Order Entry Systems

Research on IT innovations has largely relied on economic-rationalistic models and focused on individuals or organizations as the unit of analysis. The intent of this paper is to advance an alternative research agenda that explores the institutional underpinnings of IT innovation diffusion at the inter-organizational level. Through a multi-stage research study, we examine the legitimation function of organizing visions for IT innovations and develop a taxonomy of legitimation strategies employed by the proponents of an IT innovation. We first built a preliminary theoretical framework that synthesizes key arguments on legitimacy drawn from the organization theory and IS literatures. Next, we conducted an exploratory case study of institutional entrepreneurship surrounding computerized physician order entry (CPOE) systems. We examined the discursive actions of CPOE vendors by content analyzing 165 press releases issued between 1998 and 2006. We then combined the findings of the literature analysis and the case study to create a taxonomy of discursive strategies for building IT innovation legitimacy. A post-hoc analysis of the case study data reveals a number of interesting patterns in the CPOE vendors’ use of the legitimation strategies and helps us formulate a set of research questions to guide future investigations. The work reported in this paper lays a foundation for a deeper understanding of the role of legitimacy and legitimation in shaping diffusion of IT innovations. It also contributes to the conceptual and methodological elaboration of the organizing vision framework

An Investigation in to Virtual World Adoption

Virtual worlds are emerging in importance as more multinational firms are investing heavily in these emerging communities. Although much excitement has been built up around the idea of virtual worlds, a gap exists between those who sign up and those who engage in the virtual world. Our analysis of the gap between those who initiate an action and have signed up to join a virtual world and those who follow through and ultimately engage the community on a regular basis derives from a lack of adoption. Through the use of a subject matter expert study, we identified 35 factors to explain adoption, which then explain through the use of seven psychological theories. After discussing and integrating these seven factors, we test our model through a test of 223 new users of Second Life. The results from our empirical test of these seven theories are presented, and we conclude by discussing the theoretical and practical implications of understanding virtual world adoption

A test of the Extended Technology Acceptance Model for understanding the Internet adoption behavior of physicians

Thesis (Ph. D.)--University of Hawaii at Manoa, 2002.Includes bibliographical references (leaves 168-180).Mode of access: World Wide Web.Also available by subscription via World Wide Webxv, 180 leaves, bound ill. 29 cmInformation technology (IT) has become pervasive in the healthcare industry. Many view the Internet as a strategic healthcare tool. The Medical Records Institute suggests that Internet-based health applications (IHA), for example, electronic health records, e-prescribing, and mobile health are the goals of most healthcare organizations (2002). The use of the Internet for electronic medical records, e-billing and patient scheduling can enable the health care industry to reduce its inefficiencies and errors in care delivery (HlMSS/IBM Leadership Survey, 2000). While the use of IT in healthcare has increased tremendously, key players, specifically physicians still have not fully embraced the valuable resource of the Internet. Despite the purported advantages of lT investments in healthcare many doctors do not widely use Internet-based health applications in their clinical practices. Physicians often misunderstand the functions and full potential of the Internet (Wang & Song, 1997). Health & Health Care 20 I0 report that less than 5% of physicians use computers to record all clinical information for an average patient. The present study examined physicians' intentions to adopt Internet-based health applications for use in their clinical practices. This research reports on the test-retest reliability of the extended Technology Acceptance Model-TAM2 (Venkatesh & Davis, 2000). Data were collected from a survey of pediatricians to evaluate the effectiveness and appropriateness of the model in the medical environment. Results from the study indicate that TAM2 is appropriate but not completely applicable to the unique characteristic of physicians. The test-retest indicated reliable results with the exception of the result demonstrability construct. The results of multiple regression analyses indicated that perceived ease of use was not significant in predicting physicians' behavioral intentions in this study. As theorized the primary predictor variable perceived usefulness was a strong determinant of intention to use. Results indicate that physicians tend to be pragmatic in their IT acceptance decisions. Physicians focus more on the technology's usefulness rather than its ease of use. This dissertation discusses the implications, limitations and presents possible explanations for the inconsistencies within the extended technology acceptance model when it is applied to a professional group not commonly examined in IS research

Wiley-Patton et al. Understanding Healthcare Professionals ’ Adoption & Use of IT ABSTRACT Understanding Healthcare Professionals’ Adoption and Use of IT

To reduce injury and death caused by medical errors, healthcare organization must integrate information systems with clinical processes. This research in progress seeks to understand the adoption behaviors of healthcare professionals while developing a healthcare specific IT adoption model to help foster IT acceptance and clinical systems integration