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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

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This book presents a collection of papers revealing the impact of advanced computation and instrumentation on healthcare. It highlights the increasing global trend driving innovation for a new era of multifunctional technologies for personalized digital healthcare. Moreover, it highlights that contemporary research on healthcare is performed on a multidisciplinary basis comprising computational engineering, biomedicine, biomedical engineering, electronic engineering, and automation engineering, among other areas.

Medicine --- eHealth --- mHealth --- telemedicine --- telehealth --- social sciences --- bibliometrics --- telediagnostic --- project management --- funding --- IT infrastructure --- cross-border multiprofessional team --- European Union --- Interreg --- reporting --- quality control --- resident --- diagnostic error --- artificial intelligence --- healthcare AI --- deployment and scaling --- medical center --- critical factors --- stakeholders --- health information technology --- information sharing --- hospital costs --- poverty ratio --- concentration --- continuous glucose monitoring --- insulin pump --- continuous subcutaneous insulin infusion --- pediatric diabetes --- biomedical data --- medical imaging --- shared data --- massive databases --- AI-based healthcare solutions --- trueness --- 3D printing --- milling --- interim dental crown --- digital dentistry --- dental device --- data mining --- bio-signal analysis --- bio-signal repository --- execution engine --- bio-signal monitoring --- digital healthcare --- patient-centric --- blockchain --- federated learning --- coronavirus (COVID-19) --- pandemic management --- healthcare transformation --- public health strategies --- stroke detection --- portable head scanner --- low-intensity EM waves --- intrinsically safe --- low carbon footprint --- orthodontic treatment --- clear aligners --- smart application --- AI --- computerized learning --- behavior change techniques --- decision tree algorithm --- digital interventions --- mental health literacy --- audiovisual --- dentistry --- computer-controlled local anesthetic delivery --- ultrasounds --- chemomechanical caries removal --- modern technologies --- laser --- ozone --- healthcare --- emergency department --- patient flow --- simulation modeling --- agent-based modeling --- pandemic decision support --- additive manufacturing --- patient-centric dosage form

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book presents a collection of papers revealing the impact of advanced computation and instrumentation on healthcare. It highlights the increasing global trend driving innovation for a new era of multifunctional technologies for personalized digital healthcare. Moreover, it highlights that contemporary research on healthcare is performed on a multidisciplinary basis comprising computational engineering, biomedicine, biomedical engineering, electronic engineering, and automation engineering, among other areas.

Medicine --- eHealth --- mHealth --- telemedicine --- telehealth --- social sciences --- bibliometrics --- telediagnostic --- project management --- funding --- IT infrastructure --- cross-border multiprofessional team --- European Union --- Interreg --- reporting --- quality control --- resident --- diagnostic error --- artificial intelligence --- healthcare AI --- deployment and scaling --- medical center --- critical factors --- stakeholders --- health information technology --- information sharing --- hospital costs --- poverty ratio --- concentration --- continuous glucose monitoring --- insulin pump --- continuous subcutaneous insulin infusion --- pediatric diabetes --- biomedical data --- medical imaging --- shared data --- massive databases --- AI-based healthcare solutions --- trueness --- 3D printing --- milling --- interim dental crown --- digital dentistry --- dental device --- data mining --- bio-signal analysis --- bio-signal repository --- execution engine --- bio-signal monitoring --- digital healthcare --- patient-centric --- blockchain --- federated learning --- coronavirus (COVID-19) --- pandemic management --- healthcare transformation --- public health strategies --- stroke detection --- portable head scanner --- low-intensity EM waves --- intrinsically safe --- low carbon footprint --- orthodontic treatment --- clear aligners --- smart application --- AI --- computerized learning --- behavior change techniques --- decision tree algorithm --- digital interventions --- mental health literacy --- audiovisual --- dentistry --- computer-controlled local anesthetic delivery --- ultrasounds --- chemomechanical caries removal --- modern technologies --- laser --- ozone --- healthcare --- emergency department --- patient flow --- simulation modeling --- agent-based modeling --- pandemic decision support --- additive manufacturing --- patient-centric dosage form