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Confidentiality --- Data Management --- Patient Generated Health Data --- ethics --- legislation & jurisprudence

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Quatrième de couverture : "Outre une gouvernance adaptée, la recherche de la valeur est au coeur de l'évolution des systèmes de santé et de leurs performances. Ces dernières demandent une meilleure utilisation des technologies du numérique intégrées dans des systèmes d'information interopérables, cohérents et évolutifs qui permettent de lutter contre la fragmentation des pratiques. Les systèmes actuels doivent évoluer pour permettre de fiabiliser les processus métiers ainsi que la réutilisation des ressources que constituent les données pour la recherche d'une meilleure coordination des professionnels, de l'amélioration de la continuité des soins, de l'évolution des pratiques et de la recherche en santé. Traitement des données en santé illustre l'approche conceptuelle des systèmes d'information qui, par l'usage de terminologies adaptées et pérennes, doivent assurer l'interopérabilité sémantique, condition nécessaire au couplage des données et des connaissances établies par la recherche, et utilisées dans les processus métiers. **L'auteur** Marius Fieschi, titulaire d'un doctorat en médecine, est professeur honoraire d'informatique médicale à l'université d'Aix-Marseille. Sa recherche a porté sur l'aide à la décision médicale, les applications de l'intelligence artificielle et les systèmes d'information en santé. Il est l'auteur de plusieurs ouvrages d'informatique médicale."

Health Information Systems --- Electronic Data Processing --- Patient Generated Health Data --- Medical Informatics

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Digital health has undergone an astounding transformation since the beginning of the COVID-19 pandemic. Almost all fields of medicine have adopted digital technologies to deliver patient care. Rapid advances in artificial intelligence, Big Data, augmented reality, Internet of Medical Things, connected devices, robotics, and algorithms will revolutionize digital health in almost all fields of medicine in the future. With the widespread use of smartphones, downloadable or internet-based applications (apps) will play a major role in the diagnosis of diseases, and monitoring and management of patients. However, the implementation of digital health is not without challenges and concerns. These include security and privacy of patient data, lack of a universal legal and regulatory framework, accountability, data ownership, and health inequity, among others. Despite these challenges and concerns, it is undeniable that digital health has revolutionized patient care and will continue to do so. The chapters of this open access book are examples of such revolution, challenges, and concerns. A multidisciplinary team of clinicians and researchers provide a balanced discussion of the benefits and challenges of digital health in ophthalmology, oncology, chronic obstructive respiratory diseases, transfusion medicine, stroke, opioid crisis, and the care of elderly. Also, there are chapters addressing the concerns of health inequity, and the risks and security of patient-generated data. This is a timely open access book not only for clinicians, but also for everyone who is interested in transformation of health care to digital health care.

MBPC --- Electronic Patient-Generated Health Data; Cancer Risk Prediction Models; Federated Databases; Electronic Health Records; Digital Health for the Opioid Crisis; NIH Funding; Telehealth in Ophthalmology; Promote Healthy Aging in Older People; Japan’s Challenges and Perspective; Explainable Decisions of Artificial Intelligence Models; Prediction of Functional Outcomes of Ischemic Stroke Patients; GER-e-TEC Study; Geriatric Risk Remote Monitoring; Artificial Intelligence in Transfusion Medicine; Digital Health Equity; Telemedicine in Obstructive Chronic Respiratory Diseases

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Digital health has undergone an astounding transformation since the beginning of the COVID-19 pandemic. Almost all fields of medicine have adopted digital technologies to deliver patient care. Rapid advances in artificial intelligence, Big Data, augmented reality, Internet of Medical Things, connected devices, robotics, and algorithms will revolutionize digital health in almost all fields of medicine in the future. With the widespread use of smartphones, downloadable or internet-based applications (apps) will play a major role in the diagnosis of diseases, and monitoring and management of patients. However, the implementation of digital health is not without challenges and concerns. These include security and privacy of patient data, lack of a universal legal and regulatory framework, accountability, data ownership, and health inequity, among others. Despite these challenges and concerns, it is undeniable that digital health has revolutionized patient care and will continue to do so. The chapters of this open access book are examples of such revolution, challenges, and concerns. A multidisciplinary team of clinicians and researchers provide a balanced discussion of the benefits and challenges of digital health in ophthalmology, oncology, chronic obstructive respiratory diseases, transfusion medicine, stroke, opioid crisis, and the care of elderly. Also, there are chapters addressing the concerns of health inequity, and the risks and security of patient-generated data. This is a timely open access book not only for clinicians, but also for everyone who is interested in transformation of health care to digital health care.

Electronic Patient-Generated Health Data; Cancer Risk Prediction Models; Federated Databases; Electronic Health Records; Digital Health for the Opioid Crisis; NIH Funding; Telehealth in Ophthalmology; Promote Healthy Aging in Older People; Japan’s Challenges and Perspective; Explainable Decisions of Artificial Intelligence Models; Prediction of Functional Outcomes of Ischemic Stroke Patients; GER-e-TEC Study; Geriatric Risk Remote Monitoring; Artificial Intelligence in Transfusion Medicine; Digital Health Equity; Telemedicine in Obstructive Chronic Respiratory Diseases

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This book guides clinicians in critically evaluating and embracing well-designed and validated technologies that have the potential to transform the access, affordability, and accountability of mental healthcare. The reader will become aware of the practical applications of technology in mental health as well as research supporting information technology tools and policy debates. Each chapter contains either examples or scenarios that are relevant to the current practice of mental health care. Mental Health Practice in a Digital World: A Clinicians Guide is a key resource for current and future mental health clinicians who wish to become familiar with technology innovations and how they impact and improve clinical care. It contains chapters written by policy makers, application developers, scientists, and executives that have led or supported the use of technologies in real world practice.

Medicine & Public Health. --- Health Informatics. --- Psychiatry. --- Medicine. --- Medical records --- Médecine --- Dossiers médicaux --- Psychiatrie --- Data processing. --- Informatique --- Clinical psychology -- Practice. --- Mental health services -- Information technology. --- Public health -- Data processing. --- Medicine --- Health & Biological Sciences --- Medical & Biomedical Informatics --- Mental health services --- Public health --- Information services. --- Information technology. --- Data collection services --- Information brokers --- Information centers --- Information science service organizations --- Information service providers --- Providers of information services --- Community health --- Health services --- Hygiene, Public --- Hygiene, Social --- Public health services --- Public hygiene --- Sanitary affairs --- Social hygiene --- Behavioral health care --- Mental health care --- Psychiatric care --- Psychiatric services --- Health informatics. --- Health --- Human services --- Biosecurity --- Health literacy --- Medicine, Preventive --- National health services --- Sanitation --- Medical care --- Information retrieval --- Information science --- Documentation --- Research --- Medicine and psychology --- Mental health --- Psychology, Pathological --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Clinical informatics --- Health informatics --- Medical information science --- Data processing