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A growing, aging population; the rise to epidemic proportions of various chronic diseases; competing, often overlapping medical technologies; and of course, skyrocketing costs compounded by waste and inefficiency - these are just a few of the multifarious challenges currently facing healthcare delivery. An unexpected source of solutions is being imported from the manufacturing sector: lean thinking. "Lean Principles for Healthcare" presents a conceptual framework, management principles, and practical tools for professionals tasked with designing and implementing modern, streamlined healthcare systems or overhauling faulty ones. Focusing on core components such as knowledge management, e-health, patient-centeredness, and collaborative care, chapters illustrate lean concepts in action across specialties (as diverse as nursing, urology, and emergency care) and around the globe. Extended case examples show health systems responding to consumer needs and provider realities with equal efficiency and effectiveness, and improved quality and patient outcomes. Further, contributors tackle the gamut of technological, medical, cultural, and business issues --

The Healthcare Knowledge Management Primer explores and explains the nature of essential KM (knowledge management) principles in healtcare settings in an introductory and easy to understand fashion. Accessibility and usability in this manner will be of use to both students and professionals wishing to learn more about the key aspects of the KM field as it pertains to effecting superior healthcare delivery

"This book provides comprehensive coverage of all areas (people, process, and technology) necessary to become a knowledge-based enterprise. It presents several frameworks facilitating the implementation of a KM initiative and its ongoing management so that pertinent knowledge and information are always available to the decision maker, and so the organization may always enjoy a sustainable competitive advantage" - Provided by publisher

Successful adoption and implementation of Mobile Health applications (mHealth) has been the subject of extensive research as can be evidenced by the large body of research literature on this topic. However, the fit and viability perspective issues have been less widely studied, perhaps because of the difficulty and complexity of healthcare services and delivery factors and their studies. In today's global business environment this remains a key issue and critical success factor. Hence, this paper explains how challenging the mHealth application implementation success is for organizations government and patients. Furthermore, it is also very important to assess a fit and viability of mHealth application implementations in diverse environment. By drawing upon multiple streams of theory building, a framework, from the Fit-Viability Model (FVM) perspective, is developed. The framework provides important and valuable guiding principles for the decisions on adoption and deployment of mHealth applications. Grounded on the fit-viability framework, the paper advocates the use of a multi-case study approach to examine the success or failure of mHealth applications adoption and implementation. Managers and researchers can use the developed framework to identify the fit and viability of mHealth applications implementations to increase the possibility of success.

Knowledge management systems are predominant in both theory and practice. However, are the same systems discussed in theory actualized in practice? By comparing and contrasting knowledge management systems in theory and practice, this paper demonstrates that they are indeed dissimilar. In theory, they have both subjective and objective components. In practice, only the objective component appears to be actualized; hence, these systems in practice are essentially organizational memory systems at best and not knowledge management systems at all. By unravelling the mystique of knowledge management systems, this paper exposes a fundamental anomaly. Further, an apparent void currently in practice is highlighted; namely, the lack of the subjective component of knowledge management systems in practice. They are being heralded as key systems that are vital for organizations to survive and thrive in the intense competitive environment of the information age. Surely then, a system that in practice supports not only the objective component, but also the subjective component of knowledge management, would indeed be a truly powerful system.

The Australian government has invested heavily in the national e-health solution; namely, initially, the PCEHR, now MyHealth Record. A critical success factor is concerned with the perception and expectations of health service providers regarding the MyHealth Record. Further, it is important to understand the effect of the MyHealth Record on the patient-provider relationship, quality of care, and service providers' views toward data security and confidentiality. The primary goal of this pilot study is to understand the health service providers' perceptions and expectations; and thereby, predict the likely sustainability of the MyHealth Record. This has important implications in general as all OECD countries' transition to large-scale e-health solutions.

The Australian government has invested heavily in the national e-health solution; namely, initially the PCEHR now MyHealth Record. A critical success factor is concerned with patients' perceptions and expectations of this solution. Further, it is important to understand the effect of the MyHealth Record on the patient-provider relationship, quality of care, and user's views toward data security and confidentiality. The primary goal of this paper is to shed light on users perceptions and expectations and thus to predict the sustainability of the MyHealth Record. This has important implications in general as all OECD countries transition to large scale e-health solutions.

Intro -- Dedication -- Foreword -- Preface -- Contents -- Part I: Research Design and Methodologies -- Chapter 1: Design Science Research Opportunities in Health Care -- 1.1 Design Science Research Concepts -- 1.2 Healthcare Challenges and Design Science Research -- 1.3 A Survey of Recent DSR Projects in Health Care -- 1.3.1 Medical Systems -- 1.3.2 Clinical Protocols -- 1.3.3 Medical Devices -- 1.3.4 Electronic Medical Records (EMRs) -- 1.3.5 Healthcare Data Analytics -- 1.3.6 Healthcare Governance -- 1.3.7 Healthcare Delivery Services -- 1.3.8 Public Health and Preventive Care -- 1.3.9 Pharmaceutical Systems -- 1.3.10 Miscellaneous -- 1.4 Healthcare Case Vignettes -- 1.4.1 Vignette A: Sensors for Monitoring Blood Glucose -- 1.4.2 Vignette B: Calorie Cruncher -- 1.5 Discussion -- 1.6 Conclusions -- References -- Chapter 2: Using a Survey Methodology to Measure User Satisfaction with Clinical Information Systems -- 2.1 Introduction -- 2.2 Methods -- 2.3 Results -- 2.3.1 CIS User Satisfaction -- 2.3.2 Training and Technical Support Satisfaction -- 2.4 Discussion -- 2.5 Conclusion -- References -- Chapter 3: Application of Hermeneutics in Understanding New Emerging Technologies in Health Care: An Example from mHealth Case Study -- 3.1 Introduction -- 3.2 Hermeneutics -- 3.3 An Example of Hermeneutics in an mHealth Case Study Research -- 3.4 Conclusion -- References -- Chapter 4: IS/IT Governance in Health Care: An Integrative Model -- 4.1 Introduction -- 4.2 Literature Review -- 4.2.1 IS/IT Governance -- 4.2.2 Value and Business Value -- 4.3 Research Objective and Research Questions -- 4.4 Research Design and Methodology -- 4.4.1 Research Methodology -- 4.4.2 Research Strategy: Case Study -- 4.4.3 Data Collection and Analysis -- 4.5 Findings -- 4.5.1 The IS/IT Governance Structure in Place.