The potential value of rapid,cloud-enabled onsite testing for the diagnosis of rheumatoid arthritis in the United States

Abstract

Aims: Improvements in information technology have granted the recent development of rapid, cloud-enabled, onsite laboratory testing for rheumatoid arthritis (RA). This study aims to quantify the value to payers of such technologies.

Materials and methods: To calculate the value of rapid, cloud-enabled, onsite laboratory testing to diagnose RA relative to traditional, centralized laboratory testing, an Excel-based decision tree model was created that simulated potential cost-savings to payers who cover routine evaluations of RA patients in the US. First, a conceptual framework was created to identify the value components of rapid, cloud-enabled onsite testing. Second, value associated with patient time savings, savings on visit fees, change in treatment costs, and QALY improvements was measured, leveraging existing literature and information from an observational study. Lastly, these value components were combined to estimate the total incremental value accruing to payers per patient-year relative to centralized laboratory testing.

Results: Rapid, cloud-enabled, onsite testing is estimated to save one office and 1.81 laboratory visits during the evaluation period for the average patient. Results from an observational study found that rapid, cloud-enabled testing increased the likelihood of completing diagnostic orders from 84.5% to 97%, resulting in an increased probability of early treatment (3.5 percentage points) with disease-modifying anti-rheumatic drugs among patients eligible for treatment. The combined total value was $5,648 per evaluated patient-year. This value is primarily attributed to health benefits of early treatment ($5,048), fewer visit payments ($459), and patient time savings due to fewer office ($216) and laboratory visits ($255).

Limitations and conclusions: Data on the impact of rapid, cloud-enabled, onsite testing on patient health, care delivery, and clinical decision-making is scarce. More robust real-world data would confirm the validity of our model. Rapid, cloud-enabled, onsite testing has the potential to generate significant value to payers.     

Information Technology Professionals’ Perceived Organizational Values and Managerial Ethics: An Empirical Study

This paper summarizes the results of an analysis of empirical data on ethical attitudes of professionals and managers in relation to organizational core values in the Information Technology (IT) industry. This study investigates the association between key organizational values as independent variables and the ethical attitudes of IT managers as dependent variables. The study also delves into differences among IT non-managerial professionals, mid-level managers, and upper-level managers in their ethical attitudes and perceptions. Research results indicated that IT professionals from mechanistic organizations were much more likely to report – compared to those from organic organizations – that managers in their corporate environment engage in behaviors considered unethical and that successful managers were more unethical relative to unsuccessful managers. There were significant differences between the upper-level managers and the mid-level managers and between the mid-level managers and the IT non-managerial professionals on certain key ethical issues. This paper discusses the conceptual framework, hypotheses, research methodology, data analysis, implications of the findings, and suggested areas of further research. K. Gregory Jin, D.B.A, is Professor of the MIS Department, Ancell School of Business, Western, Connecticut State University. He has published numerous conference papers, chapters, and articles in such areas as MIS professional ideology and ethics, communication and control, behavioral issues in information systems development, role of IT and human factors in business process reengineering, service learning in database design, systems theory, MIS participant action research strategy, and political factors in IT management. He has more than twenty years of MIS administrative and professional experiences. He holds a D.B.A. in Information Technology Management from George Washington University. He is a member of the Association of Information Technology Professionals and a former member of DSI. Ronald G. Drozdenko, Ph.D., is Professor and Chair of the Marketing Department, Ancell School of Business, Western Connecticut State University. He is also the founding Director of the Center for Business Research at the Ancell School. Dr. Drozdenko has co-directed more than 100 proprietary research projects since 1978 for the marketing and research and development departments of several corporations, including major multinationals. These projects were in the areas of strategic planning, marketing research, product development, direct marketing, and marketing database analysis. Dr. Drozdenko co-authored Optimal Database Marketing: Strategy, Development and Data Mining and also has published professional and academic articles and book chapters. He holds a Ph.D. in Experimental Psychology from the University of Missouri and is a member of the American Marketing Association, the Society for Consumer Psychology, and the Academy of Marketing Sciences. Richard A. Bassett, D.P.S, is an Associate Professor of Management Information Systems at Western Connecticut State University. He was founder and CEO of Bassett Computer Systems, Inc. for 17 years where he was involved with the design and implementation of information systems for hundreds for small and midsized businesses. He has authored several papers and articles in such areas as web-design as a web-master, web-based course design, the security threats and concerns faced by telecommuters, minimal steps required to secure a Local Area Network and the technology decision challenges which growing companies face. He is actively involved with technology endeavors of numerous nonprofit organizations including: The Children’s Center, Bridges of Milford, North Haven Rotary, Communicare, and the Amber Alert System. He holds a D.P.S. in Computing from Pace University.     

Das organisationspsychologische Fairness-Konstrukt im Marketing

Zusammenfassung  Wir geben einen überblick, wie Fairness als zentrales sozial- und organisationspsychologisches Konstrukt in der aktuellen Marketingforschung rezipiert wird. In der Konstruktgeschichte haben sich vier Dimensionen von Fairness (distributive, prozedurale, informationale, interpersonale) ausdifferenziert. In einer bibliometrischen Analyse strukturieren wir den gegenw?rtigen Fairnessdiskurs im Marketing. Anhand von 205 internationalen Zeitschriftenartikeln identifizieren wir vier relevante Themenkomplexe: Beschwerdemanagement, Preisfairness, intraorganisationale Fairness im Marketing-Kontext sowie Fairness und Vertrauen in Gesch?ftsbeziehungen. Diese Subdiskurse verdeutlichen, auf welchen Themengebieten die Marketingforschung durch Rezeption des Fairness-Konstrukts bereits bereichert wurde. Zugleich lassen sie aber weitere Differenzierungsm?glichkeiten erkennen.

Innovation, embeddedness and policy: evidence from life sciences in three UK regions

This paper draws upon a survey of the life science and biotechnology regions of Oxford, Central Scotland and South West England to examine the innovation and embeddedness traits of the regions. The insights into the compositional weaknesses and strengths of the regions suggest opportunities and threats for the future development of the UK's life sciences and biotechnology. The discussion moves forward debates on biotechnology, regional innovation, regional economic development and policy by posing research questions relating to the gap of knowledge of two under-researched regions, the need for a differentiated view of regions and a public policy approach tailored towards them, as well as the prospects of 'engineering' high-tech regions. Some of the highlighted policy challenges are common to the three regions, while others are region-specific and reflect the variations of regional make-up and stage of development.     

Evolutionäre Algorithmen im Marketing

Evolutionary algorithms (EA) are search heuristics, which simulate the basic principles of biological evolution and by reenacting the evolutionary mutation and selection processes, find optimum solutions in a predefined environment. In this article we examine the current state of research on EA in fields related to marketing and discuss potential applications in marketing research. Based on a bibliographic network and factor analysis, we identify nine focus areas in current research, most of which are in the operations research area. In particular, interactive EA hitherto have hardly ever been used in marketing research. In consumer surveys they can be linked to elements of classical market research in order to design products that provide consumers with maximum benefit from their viewpoint. Thanks to their model-free approach, evolutionary algorithms offer an alternative to conjoint analyses.