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- BookKai Zheng, Johanna Westbrook, Thomas G. Kannampallil, Vimla L. Patel, editors.Summary: This timely book addresses the gaps in the understanding of how health information technology (IT) impacts on clinical workflows and on how the effective implementation of these workflows are central to the safe and effective delivery of care to patients. It features clearly structured chapters covering a range of topics, including aspects of clinical workflows relevant to both practitioners and patients, tools for recording clinical workflow data techniques for potentially redesigning health IT enabled care coordination. Cognitive Informatics: Reengineering Clinical Workflow for More Efficient and Safer Care enables readers to develop a deeper understanding of clinical workflows and how these can potentially be modified to facilitate greater efficiency and safety in care provision, providing a valuable resource for both biomedical and health informatics professionals and trainees.
Contents:
Foreword
Section I Clinical Workflow and Health Information Technologies
Chapter 1 Clinical Workflow in the Health IT Era
Chapter 2 Cognitive Behavior and Clinical Workflows
Chapter 3 Unintended Adverse Consequences of Health IT Implementation: Workflow Issues and Their Cascading Effects
Section II The State of the Art of Workflow Research
Chapter 4 A Review of Clinical Workflow Studies and Methods
Chapter 5 A Workflow Perspective in Aviation
Chapter 6 Characterizing Collaborative Workflow and Health Information Technology
Chapter 7 Interruptions and Multitasking in Clinical Work: A Summary of the Evidence
Chapter 8 Reengineering Approaches for Learning Health Systems: Applications in Nursing Research to Learn from Safety Information Gaps and Workarounds to Overcome Electronic Health Record Silos
Chapter 9 Patient-Oriented Workflow Approach
Chapter 10 Workflow at the Edges of Care
Section III Research Methods for Studying Clinical Workflow
Chapter 11 Computer-based Tools for Recording Time and Motion Data for Assessing Clinical Workflow
Chapter 12 Understanding Clinical Workflow through Direct Continuous Observation: Addressing the Unique Statistical Challenges
Chapter 13 Clinical Workflow and Human Factors
Chapter 14 Automated Location Tracking in Clinical Environments: A Review of Systems and Impact on Workflow Analysis
Section VI Applications and Case Studies
Chapter 15 Examining the Relationship Between Health IT and Ambulatory Care Workflow Redesign
Chapter 16 Health IT-Enabled Care Coordination and Redesign in Ambulatory Care
Chapter 17 Turning "Night into Day": Challenges, Strategies, and Effectiveness of Re-engineering the Workflow to Enable Continuous Electronic ICU Collaboration between Australia and U.S.
Chapter 18 Encoding Clinical Pathways: A New Gap between Theory and Practice
Chapter 19 Cognitive Disconnect and Information Overload: Electronic Health Record Use for Rounding and Handover Communications in a Pediatric Intensive Care Unit
Chapter 20 Clinical Workflow: The Past, Present, and Future. - ArticleGotch FA.Clin Nephrol. 1978 Apr;9(4):144-55.Bioengineering research over the past 16 years has provided clear definition of the design parameters controlling solute transport in dialyzers and resulted in the present dialysis systems which have a broad range of solute transport and ultrafiltration properties with predictable performance. Research into the pathophysiology of uremia has further established the role of protein catabolism in pathogenesis and resulted in information indicating that endocrine metabolic, drug toxicity and immunologic pathogenetic mechanisms may also be operative in this complex syndrome. Average dialysis treatment time has decreased more than 50 percent over the last ten years, but to a considerable extent remains empirically determined. Progress in elucidation of the solute kinetic parameters controlling solute concentration during regular dialysis therapy (RDT) is reviewed and the critical role of mass balance in evaluation of this therapy is discussed. Progress in kinetic modeling to quantify RDT is reviewed, the limitations of current kinetic models are considered and anticipated requirements to develop improved model parameters outlined.