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Learning by reflection is one of the core processes for improving work performance. We provide a novel approach for reflective learning support by transferring and adapting practices from the Quantified Self to workplace settings. This book contributes with an integrated model for technical support of reflective learning, mobile and web-based applications designed for quantifying and gathering data in the workplace, and empirical insights from thirteen studies in three different use cases.

Arbeitsumfeld --- Self-Tracking --- self-tracking --- Anwendungenreflective learning --- Quantified Self --- workplace --- Reflektierendes Lernen --- applications

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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.

Medicine --- 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 --- 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