How 5G wireless (and concomitant technologies) will revolutionize healthcare?

The need to have equitable access to quality healthcare is enshrined in the United Nations (UN) Sustainable Development Goals (SDGs), which defines the developmental agenda of the UN for the next 15 years. In particular, the third SDG focuses on the need to “ensure healthy lives and promote well-being for all at all ages”. In this paper, we build the case that 5G wireless technology, along with concomitant emerging technologies (such as IoT, big data, artificial intelligence and machine learning), will transform global healthcare systems in the near future. Our optimism around 5G-enabled healthcare stems from a confluence of significant technical pushes that are already at play: apart from the availability of high-throughput low-latency wireless connectivity, other significant factors include the democratization of computing through cloud computing; the democratization of Artificial Intelligence (AI) and cognitive computing (e.g., IBM Watson); and the commoditization of data through crowdsourcing and digital exhaust. These technologies together can finally crack a dysfunctional healthcare system that has largely been impervious to technological innovations. We highlight the persistent deficiencies of the current healthcare system and then demonstrate how the 5G-enabled healthcare revolution can fix these deficiencies. We also highlight open technical research challenges, and potential pitfalls, that may hinder the development of such a 5G-enabled health revolution

Wi-Fi Enabled Healthcare

Focusing on its recent proliferation in hospital systems, Wi-Fi Enabled Healthcare explains how Wi-Fi is transforming clinical work flows and infusing new life into the types of mobile devices being implemented in hospitals. Drawing on first-hand experiences from one of the largest healthcare systems in the United States, it covers the key areas associated with wireless network design, security, and support. Reporting on cutting-edge developments and emerging standards in Wi-Fi technologies, the book explores security implications for each device type. It covers real-time location services and emerging trends in cloud-based wireless architecture. It also outlines several options and design consideration for employee wireless coverage, voice over wireless (including smart phones), mobile medical devices, and wireless guest services. This book presents authoritative insight into the challenges that exist in adding Wi-Fi within a healthcare setting. It explores several solutions in each space along with design considerations and pros and cons. It also supplies an in-depth look at voice over wireless, mobile medical devices, and wireless guest services. The authors provide readers with the technical knowhow required to ensure their systems provide the reliable, end-to-end communications necessary to surmount today’s challenges and capitalize on new opportunities. The shared experience and lessons learned provide essential guidance for large and small healthcare organizations in the United States and around the world. This book is an ideal reference for network design engineers and high-level hospital executives that are thinking about adding or improving upon Wi-Fi in their hospitals or hospital systems

A behaviour changing syringe : making invisible risk, visible to deter the reuse of syringes in a curative context

Medical devices are a core component of health systems, and thus required for achieving universal health coverage, and have been recognized as indispensable for health care provision in the World Health As-sembly resolution, on health technologies (WHA60.29) in 2007. These health technologies are required in screening, prevention, diagnosis, treatment, rehabilitation and palliative care, but their safe use, rational selection, assessment, effective regulation and innovation remain a very complicated challenge in all set-tings, due to the enormous diversity, lack of availability, quality, safety, appropriateness and affordability, particularly in low-resource settings. Therefore, even if important awareness has been raised in the last few years, patients still lack access to priority medical devices and thus much work has to be done by health professionals, governments, academia and industry, among many others. Following the resolution of 2007, the priority medical devices report and the success of the First WHO Global Forum on Medical Devices in Thailand in 2010, WHO became highly committed to the important work related to medical devices. New WHO tools and publications were developed and disseminated to increase awareness in the field in ministries of health, industry and academia. Several workshops and continuous capacity building in various countries and regions led to a high demand from medical device stakeholders, for a second global forum that would follow-up and expand on the topics and recommenda-tions presented previously. Accordingly, in August 2013, WHO determined to convene a Second Global Forum on Medical Devices to take place in Geneva, Switzerland, on 22-24 November 2013. The objectives of the Forum were to: (i) define methods of increasing access to priority medical devices under the Universal Health Coverage initiative; (ii) share evidence on best practices in health technology assessment, management and regulation of medical devices; (iii) demonstrate the development and use of appropriate and innovative technologies that respond to global health priorities; and (iv) present the outcomes of the implementation of the World Health Assembly resolution on health technologies (WHA60.29) and the status of actions resulting from the First Global Forum on Medical Devices..

Patient Adoption of Smart Cards

This paper adapts the Unified Theory of Acceptance and Use Technology Model (UTAUT) to assess the factors impacting the adoption of smart cards in Medicaid Health Home context. We contribute to the theory by including three constructs specific to smart card and health devices: (i) concern for error, (ii) sickness orientation (iii) concern for data security. Utilizing a survey design we collected responses from 116 participants who are ethnic minorities, enrolled in a Medicaid Health Home program or from a high-risk population. We developed a conceptual model and an instrument to measure the patient’s likelihood to use the smart card. The concern for error, social influence and sickness orientation significantly impact the likelihood to use the smart card. Our results show that patients are more concerned about prevention of errors as compared to security breaches

Transactions of 2015 International Conference on Health Information Technology Advancement Vol.3, No. 1

The Third International Conference on Health Information Technology Advancement Kalamazoo, Michigan, October 30-31, 2015 Conference Chair Bernard Han, Ph.D., HIT Pro Department of Business Information Systems Haworth College of Business Western Michigan University Kalamazoo, MI 49008 Transactions Editor Dr. Huei Lee, Professor Department of Computer Information Systems Eastern Michigan University Ypsilanti, MI 48197 Volume 3, No. 1 Hosted by The Center for Health Information Technology Advancement, WM

Health IT Legislation in the United States: Guidelines for IS Researchers

In this tutorial, I review the most pressing legal issues that health information systems (IS) professionals face and how health information technology (IT) legislation drive them. The issues I discuss include the confidentiality and security of electronic protected health information, meaningful use of health IT, health information exchanges, and information governance. I also provide directions for future research

The Second International Conference on Health Information Technology Advancement

TABLE OF CONTENTS I. Message from the Conference Co-Chairs B. Han and S. Falan …………………………....….……………. 5 II. Message from the Transactions Editor H. Lee …...………..………….......………….……….………….... 7 III. Referred Papers A. Emerging Health Information Technology and Applications The Role of Mobile Technology in Enhancing the Use of Personal Health Records Mohamed Abouzahra and Joseph Tan………………….……………. 9 Mobile Health Information Technology and Patient Care: Methods, Themes, and Research Gaps Bahae Samhan, Majid Dadgar, and K. D. Joshi…………..…. 18 A Balanced Perspective to Perioperative Process Management Jim Ryan, Barbara Doster, Sandra Daily, and Carmen Lewis…..….…………… 30 The Impact of Big Data on the Healthcare Information Systems Kuo Lane Chen and Huei Lee………….…………… 43 B. Health Care Communication, Literacy, and Patient Care Quality Digital Illness Narratives: A New Form of Health Communication Jofen Han and Jo Wiley…..….……..…. 47 Relationships, Caring, and Near Misses: Michael’s Story Sharie Falan and Bernard Han……………….…..…. 53 What is Your Informatics Skills Level? -- The Reliability of an Informatics Competency Measurement Tool Xiaomeng Sun and Sharie Falan.….….….….….….…. 61 C. Health Information Standardization and Interoperability Standardization Needs for Effective Interoperability Marilyn Skrocki…………………….…….………….… 76 Data Interoperability and Information Security in Healthcare Reid Berryman, Nathan Yost, Nicholas Dunn, and Christopher Edwards.…. 84 Michigan Health Information Network (MiHIN) Shared Services vs. the HIE Shared Services in Other States Devon O’Toole, Sean O’Toole, and Logan Steely…..……….…… 94 D. Health information Security and Regulation A Threat Table Based Approach to Telemedicine Security John C. Pendergrass, Karen Heart, C. Ranganathan, and V.N. Venkatakrishnan …. 104 Managing Government Regulatory Requirements for Security and Privacy Using Existing Standard Models Gregory Schymik and Dan Shoemaker…….…….….….… 112 Challenges of Mobile Healthcare Application Security Alan Rea………………………….……………. 118 E. Healthcare Management and Administration Analytical Methods for Planning and Scheduling Daily Work in Inpatient Care Settings: Opportunities for Research and Practice Laila Cure….….……………..….….….….… 121 Predictive Modeling in Post-reform Marketplace Wu-Chyuan Gau, Andrew France, Maria E. Moutinho, Carl D. Smith, and Morgan C. Wang…………...…. 131 A Study on Generic Prescription Substitution Policy as a Cost Containment Approach for Michigan’s Medicaid System Khandaker Nayeemul Islam…….…...……...………………….… 140 F. Health Information Technology Quality Assessment and Medical Service Delivery Theoretical, Methodological and Practical Challenges in Designing Formative Evaluations of Personal eHealth Tools Michael S. Dohan and Joseph Tan……………….……. 150 The Principles of Good Health Care in the U.S. in the 2010s Andrew Targowski…………………….……. 161 Health Information Technology in American Medicine: A Historical Perspective Kenneth A. Fisher………………….……. 171 G. Health Information Technology and Medical Practice Monitoring and Assisting Maternity-Infant Care in Rural Areas (MAMICare) Juan C. Lavariega, Gustavo Córdova, Lorena G Gómez, Alfonso Avila….… 175 An Empirical Study of Home Healthcare Robots Adoption Using the UTUAT Model Ahmad Alaiad, Lina Zhou, and Gunes Koru.…………………….….………. 185 HDQM2: Healthcare Data Quality Maturity Model Javier Mauricio Pinto-Valverde, Miguel Ángel Pérez-Guardado, Lorena Gomez-Martinez, Martha Corrales-Estrada, and Juan Carlos Lavariega-Jarquín.… 199 IV. A List of Reviewers …………………………..…….………………………208 V. WMU – IT Forum 2014 Call for Papers …..…….…………………20

Modeling the Adoption of Identification Standards Within the Healthcare Supply Chain

The adoption of identification standards and its associated technology in the healthcare supply chain has been slow over the past twenty five years, despite the evidence of the benefits that can be achieved. The widespread use of identification standards in the form of barcode labeled medical products can contribute to the reduction of point of care errors and can increase the efficiency of healthcare supply chain related processes. This research is focused on the analysis of the adoption of identification standards in the healthcare supply chain with a particular focus on the healthcare provider adoption challenges. The research is divided into two phases. The first phase develops an extensive literature review on technology adoption with a particular focus on data standards. This adoption process is compared with the adoption of Electronic Health Records (EHR) and Electronic Data Interchange (EDI); main conclusions from the identification standards literature are presented, and a conceptual model to explain the identification-standards adoption process is proposed. The second phase proposes a model for identification standards adoption using a system dynamics modeling approach. The model builds on previous findings associated to the factors affecting identification standards adoption and relates the specific elements to the adoption rate via a causal loop diagram (CLD). The model is formulated in two stages. In the first stage, the Bass Diffusion Model (BDM) of technology adoption is adapted to simulate the adoption of identification standards supporting technologies. The second stage uses most of the factors defined in the CLD to develop a simulation model. A sensitivity analysis identifies relevant model parameters that facilitated the design of interventions to move the adoption process forward. Finally, the effects of some possible interventions are simulated using the validated model. The model provides an illustration of the use of system dynamics models and diffusion theory to understand an important policy problem reported in the literature and not yet solved. Also this research informs real world practitioners and the academic community on issues like the lack of data and other challenging aspects of empirical research that can be addressed with the proposed model and methodology

Improving Eye Care Delivery Through Data Sharing Technology

Preventable blindness has massive social, economic, and societal impacts around the world. The Armenian EyeCare Project (AECP) is addressing this through a network of regional and subspecialty ophthalmological clinics, but current data collection, storage and sharing methods are inadequate. With the organization’s input we conducted focused research to determine current state and best practices, and synthesized this information to develop recommendations and implementation plans for Electronic Medical Record and teleconsultation systems which would improve data sharing for better patient care