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.  

This textbook comprehensively covers the latest state-of-the-art methods and applications of artificial intelligence (AI) in medicine, placing these developments into a historical context. Factors that assist or hinder a particular technique to improve patient care from a cognitive informatics perspective are identified and relevant methods and clinical applications in areas including translational bioinformatics and precision medicine are discussed. This approach enables the reader to attain an accurate understanding of the strengths and limitations of these emerging technologies and how they relate to the approaches and systems that preceded them.

With topics covered including knowledge-based systems, clinical cognition, machine learning and natural language processing, Intelligent Systems in Medicine and Health: The Role of AI details a range of the latest AI tools and technologies within medicine. Suggested additional readings and review questions reinforce the key points covered and ensure readers can further develop their knowledge. This makes it an indispensable resource for all those seeking up-to-date information on the topic of AI in medicine, and one that provides a sound basis for the development of graduate and undergraduate course materials.

This thoroughly updated edition reports on the current state of human computer interaction (HCI) in biomedicine and healthcare, focusing on the cognitive underpinnings of human interactions with people and technology. With health information technologies becoming increasingly vital tools for the practice of clinical medicine, this book draws from key theories, models and evaluation frameworks, and their application in biomedical contexts to apply this to current research in HCI. However, numerous challenges remain in order to fully realize their potential as instruments for advancing clinical care and enhancing patient safety.

There is a general consensus that health IT has not realized its potential as a tool to facilitate clinical decision-making, the coordination of care and improvements in patient safety. Embracing sound principles of iterative design can yield significant dividends. It can also enhance practitioner’s abilities to meet “meaningful use” requirements. The purpose of the book is two-fold: to address key gaps on the applicability of theories, models and evaluation frameworks of HCI and human factors for research in biomedical informatics. It highlights the state of the art, drawing from the current research in HCI. It also serves as a graduate level textbook highlighting key topics in HCI relevant for biomedical informatics, computer science and social science students working in the healthcare domain. 

Cognitive Informatics for Biomedicine: Human Computer Interaction in Healthcare is indispensable to those who want to ensure that the systems they build, and the interactive environments that they promote, will reflect the rigor and dedication to human-computer interaction principles that will ultimately enhance both the user’s experience and the quality and safety of the care that is offered to patients. It is an essential reference to all who are interested in the application of these new techniques within healthcare, from students of informatics through to clinicians, informatics researchers and developers of health IT looking to incorporate them into their day-to-day workflow.

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.

This important new volume presents recent research in healthcare information technology and analytics.  Individual chapters look at such issues as the impact of technology failure on electronic prescribing behavior in primary care; attitudes toward electronic health records; a latent growth modeling approach to understanding lifestyle decisions based on patient historical data; designing an integrated surgical care delivery system using axiomatic design and petri net modeling; and failure in a dynamic decision environment, particularly in treating patients with a chronic disease.

Other chapters look at such topics as the impact of information technology integration in integrated delivery systems; operations and supply chain control for inventory management in a health system pharmacy; decision-theoretic assistants based on contextual gesture recognition; evaluating emergency response medical information systems; clinical decision support in critical care; virtual worlds in healthcare; and natural language processing for understanding contraceptive use at the VA.

As health care is moving toward a team effort with patients as partners, this book provides guidance on the optimized use of health information and supporting technologies, and how people think and make decisions that affect their health and wellbeing. It focuses on investigations of how general public understand health information, assess risky behaviors, make healthcare decisions, and how they use health information technologies.

e-health technologies have opened up new horizons for promoting increased self-reliance in patients. Although information technologies are now in widespread use, there is often a disparity between the scientific and technological knowledge underlying health care practices and the cultural beliefs, mental models, and cognitive representations of illness and disease. Misconceptions based on inaccurate perceptions and mental models, and flawed prior beliefs could lead to miscommunication as well as to erroneous decisions about individuals’ own health or the health of their family members.

Cognitive Informatics in Health and Biomedicine: Understanding and Modeling Health Behaviors presents state of the art research in cognitive informatics for assessing the impact of patient behaviour. It is designed to assist all involved at the intersection of the health care institution and the patient and covers contributions from recognized researchers and leaders in the field.

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.  

This textbook comprehensively covers the latest state-of-the-art methods and applications of artificial intelligence (AI) in medicine, placing these developments into a historical context. Factors that assist or hinder a particular technique to improve patient care from a cognitive informatics perspective are identified and relevant methods and clinical applications in areas including translational bioinformatics and precision medicine are discussed. This approach enables the reader to attain an accurate understanding of the strengths and limitations of these emerging technologies and how they relate to the approaches and systems that preceded them.

With topics covered including knowledge-based systems, clinical cognition, machine learning and natural language processing, Intelligent Systems in Medicine and Health: The Role of AI details a range of the latest AI tools and technologies within medicine. Suggested additional readings and review questions reinforce the key points covered and ensure readers can further develop their knowledge. This makes it an indispensable resource for all those seeking up-to-date information on the topic of AI in medicine, and one that provides a sound basis for the development of graduate and undergraduate course materials.

This thoroughly updated edition reports on the current state of human computer interaction (HCI) in biomedicine and healthcare, focusing on the cognitive underpinnings of human interactions with people and technology. With health information technologies becoming increasingly vital tools for the practice of clinical medicine, this book draws from key theories, models and evaluation frameworks, and their application in biomedical contexts to apply this to current research in HCI. However, numerous challenges remain in order to fully realize their potential as instruments for advancing clinical care and enhancing patient safety.

There is a general consensus that health IT has not realized its potential as a tool to facilitate clinical decision-making, the coordination of care and improvements in patient safety. Embracing sound principles of iterative design can yield significant dividends. It can also enhance practitioner’s abilities to meet “meaningful use” requirements. The purpose of the book is two-fold: to address key gaps on the applicability of theories, models and evaluation frameworks of HCI and human factors for research in biomedical informatics. It highlights the state of the art, drawing from the current research in HCI. It also serves as a graduate level textbook highlighting key topics in HCI relevant for biomedical informatics, computer science and social science students working in the healthcare domain. 

Cognitive Informatics for Biomedicine: Human Computer Interaction in Healthcare is indispensable to those who want to ensure that the systems they build, and the interactive environments that they promote, will reflect the rigor and dedication to human-computer interaction principles that will ultimately enhance both the user’s experience and the quality and safety of the care that is offered to patients. It is an essential reference to all who are interested in the application of these new techniques within healthcare, from students of informatics through to clinicians, informatics researchers and developers of health IT looking to incorporate them into their day-to-day workflow.

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.

This important new volume presents recent research in healthcare information technology and analytics.  Individual chapters look at such issues as the impact of technology failure on electronic prescribing behavior in primary care; attitudes toward electronic health records; a latent growth modeling approach to understanding lifestyle decisions based on patient historical data; designing an integrated surgical care delivery system using axiomatic design and petri net modeling; and failure in a dynamic decision environment, particularly in treating patients with a chronic disease.

Other chapters look at such topics as the impact of information technology integration in integrated delivery systems; operations and supply chain control for inventory management in a health system pharmacy; decision-theoretic assistants based on contextual gesture recognition; evaluating emergency response medical information systems; clinical decision support in critical care; virtual worlds in healthcare; and natural language processing for understanding contraceptive use at the VA.

As health care is moving toward a team effort with patients as partners, this book provides guidance on the optimized use of health information and supporting technologies, and how people think and make decisions that affect their health and wellbeing. It focuses on investigations of how general public understand health information, assess risky behaviors, make healthcare decisions, and how they use health information technologies.

e-health technologies have opened up new horizons for promoting increased self-reliance in patients. Although information technologies are now in widespread use, there is often a disparity between the scientific and technological knowledge underlying health care practices and the cultural beliefs, mental models, and cognitive representations of illness and disease. Misconceptions based on inaccurate perceptions and mental models, and flawed prior beliefs could lead to miscommunication as well as to erroneous decisions about individuals’ own health or the health of their family members.

Cognitive Informatics in Health and Biomedicine: Understanding and Modeling Health Behaviors presents state of the art research in cognitive informatics for assessing the impact of patient behaviour. It is designed to assist all involved at the intersection of the health care institution and the patient and covers contributions from recognized researchers and leaders in the field.