1752 research outputs found
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Mobile Apps for the Management of Gastrointestinal Diseases: Systematic Search and Evaluation Within App Stores
No full textBackground: Gastrointestinal diseases are associated with substantial cost in health care. In times of the COVID-19 pandemic and further digitalization of gastrointestinal tract health care, mobile health apps could complement routine health care. Many gastrointestinal health care apps are already available in the app stores, but the quality, data protection, and reliability often remain unclear. Objective: This systematic review aimed to evaluate the quality characteristics as well as the privacy and security measures of mobile health apps for the management of gastrointestinal diseases. Methods: A web crawler systematically searched for mobile health apps with a focus on gastrointestinal diseases. The identified mobile health apps were evaluated using the Mobile Application Rating Scale (MARS). Furthermore, app characteristics, data protection, and security measures were collected. Classic user star rating was correlated with overall mobile health app quality. Results: The overall quality of the mobile health apps (N=109) was moderate (mean 2.90, SD 0.52; on a scale ranging from 1 to 5). The quality of the subscales ranged from low (mean 1.89, SD 0.66) to good (mean 4.08, SD 0.57). The security of data transfer was ensured only by 11 (10.1%) mobile health apps. None of the mobile health apps had an evidence base. The user star rating did not correlate with the MARS overall score or with the individual subdimensions of the MARS (all P\textgreater.05). Conclusions: Mobile health apps might have a positive impact on diagnosis, therapy, and patient guidance in gastroenterology in the future. We conclude that, to date, data security and proof of efficacy are not yet given in currently available mobile health apps
Evaluating Sensor Data in the Context of Mobile Crowdsensing
Full text linkWith the recent rise of the Internet of Things the prevalence of mobile sensors in our daily life experienced a huge surge. Mobile crowdsensing (MCS) is a new emerging paradigm that realizes the utility and ubiquity of smartphones and more precisely their incorporated smart sensors. By using the mobile phones and data of ordinary citizens, many problems have to be solved when designing an MCS-application. What data is needed in order to obtain the wanted results? Should the calculations be executed locally or on a server? How can the quality of data be improved? How can the data best be evaluated? These problems are addressed by the design of a streamlined approach of how to create an MCS-application while having all these problems in mind. In order to design this approach, an exhaustive literature research on existing MCS-applications was done and to validate this approach a new application was designed with its help. The procedure of designing and implementing this application went smoothly and thus shows the applicability of the approach
Evaluation and Comparison of Existing Applications and Scientific Publications to Acquire Guidelines for mHealth Applications
No full textDie Bedeutung von mHealth Applikationen, als auch deren Anzahl und Ausführungen nimmt in mobilen Anwendungen zu. Diese erfüllen oft unterschiedliche Qualitätsstandards im Bereich Datenschutz, als auch im Zweck und Nutzen. Aber gerade in einem Bereich, welcher mit teils empfindlichen Gesundheitsdaten umgeht und es um die Gesundheit von Menschen geht, muss unbedingt der Schutz der Nutzer garantiert werden. Daher untersucht diese Arbeit Richtlinien für mHealth Applikationen, welche eingehalten werden sollten. Und gibt einen Überblick über aktuelle Anwendungen. Es werden zuerst wichtige Grundlagen erklärt und auf unterschiedliche medizinische Standards eingegangen, die für das Verständnis der Arbeit wichtig sind. Dann werden ähnliche Arbeiten analysiert und schließlich mit ausgewählten Kriterien Apps aus dem iOS App Store untersucht, um letztendlich sinnvolle Richtlinien für mHealth Applikationen zu finden. Die Ergebnisse zeigen, warum und wie wichtig es ist, dass es vereinheitlichte Standards gibt, um die Daten der Nutzer zu schützen und ihnen sinnvolle mHealth Applikationen angeboten werden, welche mehr Nutzen als Schaden anrichten. Die Arbeit schlägt fünf herausgearbeiteten Kategorien mit den dreizehn Unterkriterien vor. Diese können als Leitlinie verwendet werden, um mHealth Apps besser beurteilen zu können
Enhancing ProMoEE and DyVProMo with Additional Features to Foster Empirical Studies in the Context of Process Models Comprehension
Full text linkBusiness Process Management (BPM) has become an important factor on management level for enterprises, as it offers the opportunity to increase productivity and lower cost. This has led to a wide use of BPM techniques in the industry, offering the ability to describe processes, improve and automate them or respond to changes quickly. In order to visually represent processes, notations are used. One
of the most common is Business Process Model and Notation (BPMN), which is capable of displaying interconnected activities along with resources and other information.
A process model that does not accurately represent the real world may lead to a reduction in above benefits. Therefore, enterprises have an interest in skilled experts creating high quality process models. In reality a lot of untrained personnel is involved in the modeling process. Hence, there is interest in efficient ways of helping novices to understand modeling languages. That is why research on the
comprehension of process models is being conducted. One area of research is the addition of constructs to the existing notation. In particular, the coloring of modeling
elements can help to distinguish and recognize them more easily. In this thesis two pre-existing applications dealing with the assistance of conducting research on modeling comprehension are fostered. One is an application to dynamically change the displayed model elements to reduce complexity or providing help with model element names through the addition of annotations. It is fostered
by expanding its functionality to dynamically add predefined colors to the model elements, providing another way of supporting understanding. The other is a survey
platform with the ability to create questionnaires including the functionality to view and edit process models. Hence, it aims at the conduction of empirical research on
model comprehension. It is improved in its Maintainability, usability and Applicability. Moreover, the first application is fully integrated into the second one, providing
the ability to use it for surveys in questionnaires
Design and Implementation of a Smart Notification Platform
No full textIn modern mobile applications, notifications are the preferred way to engage users. Although notifications are used by most Android apps, there doesn’t seem to exist an open source solution to push them, as alternative to Google’s Firebase Cloud Messaging (FCM). Android has introduced multiple optimisation features over the last decade, making it difficult for other systems to provide such a service. However, the strong dependence of Android apps on FCM imply the necessity for an alternative option to push notifications. The thesis provides a solution in the form of a smart notification platform. It proposes a message platform’s architecture that uses channels to deliver notifications to the devices. Additionally, the platform offers predictions on opportune moments to engage the user. In order to send notifications at any time a consistent connection between the device and the platform is required. The implemented prototype explores the feasibility of a consistent connection despite Android’s optimisations. It provides capabilities to push notifications onto the user’s mobile device and further relay the notifications to designated end-user apps. A connection handling mechanism that ensures the device stays connected was developed, considering the possible device states and optimisations. Furthermore, multiple possibilities to post incoming notifications on behalf of a client app are featured. The found solutions and encountered problems developing this prototype are discussed. Since the app of the platform has to circumvents battery optimisations, multiple aspects are considered ensuring that the battery lifetime isn’t impacted. A field test with 12 participants shows that the prototype provides a reliable delivery of notifications. For compatible devices a message delay of less than 4 seconds in 74 % and 1 minute in 95 % of the sent out notifications was achieved. The thesis discusses the causes of the delays and the compatibility problems caused by additional optimisations added by some manufacturer
Help for insomnia from the app store? A standardized rating of mobile health applications claiming to target insomnia
Full text linkA large number of mobile health applications claiming to target insomnia are available in commercial app stores. However, limited information on the quality of these mobile health applications exists. The present study aimed to systematically search the European Google Play and Apple App Store for mobile health applications targeting insomnia, and evaluate the quality, content, evidence base and potential therapeutic benefit. Eligible mobile health applications were evaluated by two independent reviewers using the Mobile Application Rating Scale-German, which ranges from 1 – inadequate to 5 – excellent. Of 2236 identified mobile health applications, 53 were included in this study. Most mobile health applications (68%) had a moderate overall quality. Concerning the four main subscales of the Mobile Application Rating Scale-German, functionality was rated highest (M = 4.01, SD = 0.52), followed by information quality (M = 3.49, SD = 0.72), aesthetics (M = 3.31, SD = 1.04) and engagement (M = 3.02, SD = 1.03). While scientific evidence was identified for 10 mobile health applications (19%), only one study employed a randomized controlled design. Fifty mobile health applications featured sleep hygiene/psychoeducation (94%), 27 cognitive therapy (51%), 26 relaxation methods (49%), 24 stimulus control (45%), 16 sleep restriction (30%) and 24 sleep diaries (45%). Mobile health applications may have the potential to improve the care of insomnia. Yet, data on the effectiveness of mobile health applications are scarce, and this study indicates a large variance in the quality of the mobile health applications. Thus, independent information platforms are needed to provide healthcare seekers and providers with reliable information on the quality and content of mobile health applications
Ecological Momentary Assessment (EMA), Mobile Crowdsensing (MCS), and their Combination: A Systematic Review and Analysis
No full textWith mobile devices having become a central part of our daily life, the question arises how we can use smartphones and wearable devices to resolve issues we face. Therefore, researchers used smartphones to assess their subjects’ state remotely in form of an ecological momentary assessment (EMA). To collect a larger amount of data or understand their subjects more deeply the researchers can not only use their subjects’ inputs but also a sensor adjacent to them as part of Mobile Crowd Sensing (MCS) approach. In the context of this master thesis we therefore explore how researches adopted the topic of MCS in the context of EMA through a systematic literature review. We found that most studies do not use the additional information provided by sensors in their study design. Additionally, studies showed similar characteristics regarding the assessment strategy with many of them being focused on self-assessments. As a result we identified potential opportunities to diversify our knowledge regarding the adoption of EMA and MCS
Konzeption und Realisierung eines UI-& UX-Konzeptes für eine Monitoring-App
No full textMit einer stetig wachsenden Anzahl von Apps für mobile Geräte ist die Nachfrage nach qualitativ hochwertigen Anwendungen ebenfalls gestiegen. Ein Qualitätsmerkmal ist ein Benutzerfreundliches und ästhetisch ansprechendes User-Interface. Das Largescale mobile Application Monitoring Platform Projekte (LAMP) des Instituts für Datenbanken und Informationssysteme (DBIS) der Universität befasst sich mit der Analyse von mHealth Anwendungen. Im Rahmen dieser Arbeit wird ein UI-&UX-Konzept für die Monitoring-App von LAMP konzipiert und realisiert. Dazu wurden die Gesetze aus dem Buch Laws of UX von Jon Yablonski und Grundlagen des Material Design von Google als Richtlinien für das neue User-Interface der Design Monitoring-App vom LAMP Projekt genutzt. Anschließend wurde das UI-/UX-Konzept mit Hilfe von Android Studio implementiert
Generic Concept for Integrating Voice Assistance Into Smart Therapeutic Interventions
Full text linkTherapeutic Interventions (TIs) play an important role in modern medical and psychological treatments, but their integration into the digital world still shows deficits, e.g., in the integration of the auditory interface. Initiatives to integrate this interface into existing Internet- and Mobile-Based Inter- ventions (IMIs) are largely focused on a small group of Voice Assistants (VAs) and their specific capabilities. To mitigate these drawbacks, the presented concept seamlessly integrates arbitrary VAs into the treatment process of TIs. To this end, an architecture - including a discussion of relevant requirements - is presented that, on the one hand, uses VAs as the only point of contact with patients and, on the other hand, provides a comprehensive web- based backend for Healthcare Providers (HCPs). Based on the architecture, a proof-of-concept implementation using Amazon Alexa is presented. Finally, it is discussed that the scenario addressed and the solution presented have great potential, but still need a lot of work and technical consideration
Virtual-Mall – Entwurf einer automatisierten Lösung zum Bau von Click & Collect Shopping-Portalen
No full textDa der Online-Handel stetig zunimmt, bedeutet das auch, dass sich das Kaufverhalten
der Gesellschaft in Richtung digitales Einkaufen verändert. Vor allem, während
der COVID-19-Pandemie erhielt der Online-Handel einen großen Schub. Dieser
stetige Anstieg wirkt sich negativ auf den stationären Handel aus, denn dadurch
verringern sich die Umsätze bei Einzelhändlern ohne Online-Angebot. Wenn dieser
Prozess in dieser Geschwindigkeit voranschreitet, könnte sich schon bald das
Ladensterben in deutschen Innenstädten und dadurch die resultierende Verringerung
der Innenstadtbesucher durchsetzen. Um dieser Problematik entgegenzuwirken
sind Alternativen gefragt, die den regionalen Handel effizient und schnell in die
Digitalisierung einbinden.
In dieser Arbeit wird die Virtual-Mall entwickelt, eine Anwendung, die Städten und
Organisationen eine maximal automatisierte Lösung zur Bereitstellung von Click
& Collect Marktplätzen zur Verfügung stellt. Dadurch wären Kunden in der Lage
regionale Produkte, die der Einzelhandel stationär anbietet, auch in einem „Virtuellen
Schaufenster“ einzukaufen und diese anschließend per Click & Collect selbst
abzuholen. Dabei wäre der Kunde nicht auf den Versand angewiesen, wurde den
regionalen Handel stärken und zusätzlich eine gute Nachhaltigkeitsarbeit leisten.
Diese Arbeit befasst sich dabei vorrangig mit dem Backend, also mit der Konfigurierung,
der Individualisierung und der dahinter liegenden IaC-Lösung zur Bereitstellung
des eigentlichen Portals. Dabei wird ein MVP (Minimum Viable Product) auf
Basis von GCP (Google Cloud Platform) und Kubernetes realisiert