Sweta Sneha
Associate Professor, Information Systems & Director of MS in Healthcare Management and Informatics Program | Kennesaw State University
Kennesaw, GA, UNITED STATES
Sweta Sneha is an Assistant Professor at Kennesaw State University in the Department of Computer Science and Information Systems
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Biography
Sweta Sneha is an Assistant Professor at Kennesaw State University in the Department of Computer Science and Information Systems. She has a Bachelor of Science in Computer Science from University of Maryland, College Park and a PhD in Computer Information Systems from Georgia State University. Sweta's research interests center around a wide array of technical and behavioral challenges related to the emerging field of “E-Health,” which lies at the intersection of telecommunication, information technology, healthcare sector, and business. Her goal is to research, analyze, and recommend technical and/or behavioral solutions to meet the challenges associated with the spiraling healthcare expenses, the aging population, and the need to integrate/use technology in the practice and delivery of healthcare. Within the e-health umbrella she has conducted and published research in: (a) wireless network and enhanced decision support systems for innovative e-health services seeking to economize human/financial healthcare resources, (b) adoption, usage, and integration of emerging e-health services in the practice and delivery of healthcare by the healthcare professionals such as: Electronic Medical Records (EMR) and the corresponding performance improvement in the quality of patient care, and (c) organizational impact and process change associated with the integration and usage of e-health services by the healthcare sector. She has published several research papers in premier IS conferences and journals including AMCIS, HICSS, IEEE Broadmed, and IEEE Communications. She has also worked as an Information Technology (IT) Consultant within the Management Consulting Practice of PricewaterhouseCoopers, one of the leading IT and management consulting firms in the world.
Industry Expertise (3)
Education/Learning
Health and Wellness
Information Services
Areas of Expertise (6)
Enterprise Systems
Systems Analysis and Design
Healthcare Information Systems
Introduction to Information Systems
Decision Support Systems
Decision Sciences
Education (2)
Georgia State University: Ph.D., Computer Science and Information Systems 2008
University of Maryland, College Park: B.S., Computer Science and Decision Information Systems 2000
Links (1)
Recent Papers (3)
User profiles and personas in the design and development of consumer health technologies
International Journal of Medical Informatics
2013 “The graying of the globe” has resulted in exponential rise in health care expenses, over-worked health care professionals and a growing patient base suffering from multiple chronic diseases, one of which is diabetes. Consumer health technologies (CHT) are considered important catalysts for empowering health care consumers to take a proactive role in managing their health and related costs. Adoption rate and usability of such devices among the aging is far from being satisfactory. Past studies noted the motivation for adoption by the aging is dependent on the suitability/relevance, perceived usability and anticipated benefits associated with usage of technological innovation. Traditional information technology (IT) development adopts a systematic approach without necessarily using a specific user model that personalizes the system to the aging user groups. The aging patient population has unique needs arising from progressive deterioration in both physiological and psychological abilities. These needs are often ignored in the design, development, trial and adoption of consumer health products resulting in low adoption and usage.
A framework for enabling patient monitoring via mobile ad hoc network
Decision Support Systems
2013 A critical component of comprehensive patient monitoring is reliability in communication between the patients and the healthcare professionals without any time and location dependencies. Patient monitoring applications largely rely on infrastructure based wireless networks for signal transmission. However, infrastructure based wireless networks till date, suffer from unpredictable network coverage and have thus been attributed to the unpredictable communication reliability of patient monitoring applications. This research investigates an approach based on leveraging mobile ad hoc network to address the challenge of enhancing communication reliability in the context of patient monitoring. Mobile ad hoc network, formed among patient monitoring devices, has the potential of enhancing network coverage and enabling signal transmission from an area which has low or non-existent coverage from infrastructure based networks. In order to utilize mobile ad hoc network in the context of patient monitoring we propose (1) power management protocols that address the challenge of managing the low battery power of patient monitoring devices while maximizing communication reliability and (2) a framework that models the complex decision logic involved in leveraging mobile ad hoc network for diverse patient monitoring scenarios. Analytical evaluation of the proposed approach supports the premise that mobile ad hoc network formed among patient monitoring devices can enhance the reliability of signal transmission thereby improving the quality of patient monitoring applications. Technical and managerial implications of the research findings and the direction of future research are discussed.
Enabling ubiquitous patient monitoring: Model, decision protocols, opportunities and challenges
Decision Support Systems
2009 Healthcare costs in the US are approximately 15% of GNP and are anticipated to reach 17% of GNP in the near future. Management of chronic diseases via technology based ubiquitous patient monitoring services has been widely proposed as a viable option for economizing healthcare resources, and providing efficient, quality healthcare. The process of ubiquitous patient monitoring is information intensive, the information generated is not only fragmented but also spans multiple processes, artifacts, parameters, and decision criteria. The current study explores the complexities associated with the process of ubiquitous patient monitoring and the enabling technologies. The key contribution is a framework that captures the complex processes, the parameters involved, and the decision criteria for ubiquitous patient monitoring. The decision protocols and enabling technologies supporting the processes are detailed in the study along with the opportunities and challenges of ubiquitous patient monitoring. A conceptual model of ubiquitous patient monitoring is developed by leveraging the proposed framework and is validated by a usage scenario. Finally, the implications of future research and contributions of the current research are discussed.
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