Reengineering Clinical Workflow In The Digital And Ai Era

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Reengineering Clinical Workflow in the Digital and AI Era

This timely new edition addresses gaps in the understanding of how health information technology (IT) impacts clinical workflows and how this impact is central to the safe and effective delivery of care to patients. The research in this area has advanced substantially in the past few years since the publication of the first edition, marked by milestone events such as the widespread and matured use of health IT, particularly electronic health records, and a new wave of innovations stimulated by the clinical application of AI-enabled systems such as ambient documentation technologies. This book has been expanded to reflect these new developments in the field and features clearly structured chapters covering a wide range of topics, including aspects of clinical workflows relevant to both practitioners and patients, tools for recording clinical workflow data, and techniques for potentially redesigning health IT-enabled care coordination. Reengineering Clinical Workflow in the Digital and AI Era: Toward Safer and More Efficient Care enables readers to develop a deeper understanding of clinical workflows and how they can potentially be modified to facilitate greater efficiency and safety in care provision, offering a valuable resource for both biomedical and health informatics professionals and trainees.
Cognitive Informatics

This timely book addresses gaps in the understanding of how health information technology (IT) impacts on clinical workflows and 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.
Critical Perspectives on Technological Innovations in Healthcare

Author: Andreas Charalambous
language: en
Publisher: Springer Nature
Release Date: 2025-05-22
This new complementary volume to Developing and Utilising Digital Technology in Healthcare for Assessment and Monitoring extends well beyond what has been already covered, including AI, Machine Learning and Big Data in health care, data-informed care, tackling health inequalities in cancer care through technological solutions and the policy considerations of digital innovation. This book reflects the increasing influx of technological solutions in varying fields within the context of healthcare, which extend from prevention to early detection, treatment and survivorship. With an increasing number of supportive care needs being unmet, such technological solutions can bridge the gaps in how current care is being delivered. An aspect that previously has not received considerable attention is the cultural competence in healthcare AI and robotics, and a chapter dedicated to this topic offers ideas for developing technologies that are culturally competent. The book offers unique insights into the areas and ways in which these interventions (e.g. taking into consideration cultural aspects) can be incorporated in the care continuum empowering the end-user (healthcare professional and patient). The book draws on the experts’ current (and at times ongoing) research on these topics. The structure of the book provides multiple perspectives on the topic and makes it appealing to a multidisciplinary and multi-professional audience, with nurses as a primary target but also including clinicians, researchers, patients, technology experts and students. This approach fills a gap in this field not only by familiarizing the reader with a wide range of technological interventions in relation to their application in clinical practice, but also by emphasizing what the data-driven and need-orientated development of future interventions needs to take into consideration.