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Hygiene. Public health. Protection --- Oncology. Neoplasms --- Mathematical statistics --- Epidemiology --- Neoplasms --- Registries. --- Cancer --- -Cancers --- Carcinoma --- Malignancy (Cancer) --- Malignant tumors --- Tumors --- Parish Registers --- Population Register --- Parish Register --- Population Registers --- Register, Parish --- Register, Population --- Registers, Parish --- Registers, Population --- Registry --- prevention & control. --- Prevention --- Prevention. --- Reporting. --- -prevention & control. --- Reporting --- prevention & control --- Kanker. Voorkoming. --- Cancer. Enregistrement. --- Cancer. Prévention. --- Kanker. Registratie. --- Registries --- Routinely Collected Health Data

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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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Medical informatics --- Medicine --- Medical informatics. --- Research --- Data processing --- Data processing. --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Health Workforce --- healthcare delivery --- public health policy --- data management --- health data --- health ethics --- Medical Informatics --- Computer Science, Medical --- Health Informatics --- Health Information Technology --- Informatics, Clinical --- Informatics, Medical --- Information Science, Medical --- Clinical Informatics --- Medical Computer Science --- Medical Information Science --- Health Information Technologies --- Informatics, Health --- Information Technology, Health --- Medical Computer Sciences --- Medical Information Sciences --- Science, Medical Computer --- Technology, Health Information --- Computational Biology --- Biomedical Technology --- American Recovery and Reinvestment Act

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Community Psychiatry. --- Community Mental Health Services. --- Hospitals, Psychiatric. --- Registries. --- Community mental health services --- -Mental health clinics --- Alternatives to psychiatric hospitalization --- Community health services --- Community psychiatry --- Mental health services --- Parish Registers --- Population Register --- Parish Register --- Population Registers --- Register, Parish --- Register, Population --- Registers, Parish --- Registers, Population --- Registry --- Hospitals, Mental --- Mental Institutions --- Psychiatric Hospitals --- Mental Hospitals --- Hospital, Mental --- Hospital, Psychiatric --- Institution, Mental --- Institutions, Mental --- Mental Hospital --- Mental Institution --- Psychiatric Hospital --- Assertive Community Treatment --- Health Services, Community Mental --- Services, Community Mental Health --- Services, Mental Health Community --- Mental Health Services, Community --- Community Treatment, Assertive --- Treatment, Assertive Community --- Psychiatry, Community --- Social Psychiatry --- Psychiatry, Social --- London. --- COMMUNITY --- PSYCHIATRY --- Registries --- MENTAL HEALTH SERVICES, London --- COMMUNITY, case studies --- -London. --- Psychiatric Hospitals. --- MENTAL HEALTH SERVICES, London. --- COMMUNITY, case studies. --- Community --- Psychiatry --- Psychiatric hospitals. --- Mental health services, london. --- Community, case studies. --- Community Mental Health Services --- Community Psychiatry --- Hospitals, Psychiatric --- Mental health clinics --- Routinely Collected Health Data

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Over the past few decades, modern information technology has made a significant impact on people’s daily lives worldwide. In the field of health care and prevention, there has been a progressing penetration of assistive health services such as personal health records, supporting apps for chronic diseases, or preventive cardiological monitoring. In 2020, the range of personal health services appeared to be almost unmanageable, accompanied by a multitude of different data formats and technical interfaces. The exchange of health-related data between different healthcare providers or platforms may therefore be difficult or even impossible. In addition, health professionals are increasingly confronted with medical data that were not acquired by themselves, but by an algorithmic “black box”. Even further, externally recorded data tend to be incompatible with the data models of classical healthcare information systems.From the individual’s perspective, digital services allow for the monitoring of their own health status. However, such services can also overwhelm their users, especially elderly people, with too many features or barely comprehensible information. It therefore seems highly relevant to examine whether such “always at hand” services exceed the digital literacy levels of average citizens.In this context, this reprint presents innovative, health-related applications or services emphasizing the role of user-centered information technology, with a special focus on one of the aforementioned aspects.

fever --- FeverApp --- ecological momentary assessment --- user behavior --- sociodemographic characteristics --- registry --- guidelines --- feasibility --- usability --- routine health information system --- health management information system --- health system performance --- machine learning --- digital health --- registry analysis --- ClinicalTrials.gov --- device regulation --- new information technology --- Technology Acceptance Model (TAM) --- institution --- institutionalism --- digital informatics --- human–computer interaction --- personal health informatics --- consumer health data --- consumer health information --- self-tracking --- quantified self --- mHealth apps --- telemonitoring --- telemedicine --- telecardiology --- cardiology --- wearable --- sensors --- consumer health devices --- cardiovascular disease --- heart failure --- atrial fibrillation --- mental health --- psychiatry --- psychiatric record --- psychiatric notes --- patient accessible electronic health record --- PAEHR --- open notes --- policies --- COVID-19 --- technology acceptance --- user survey --- wearable health monitor --- ECG patch --- personal electronic health records --- technology adoption --- endogenous motivations --- health information privacy concern --- mixed-methods --- ePA --- online review helpfulness --- signaling theory --- sentiment analysis --- physician rating websites --- consumer decision-making --- health information technology --- information exchange --- hospital --- market