KPIs for Mobile Apps and Digital Data Management in Healthcare

Antolín-Prieto, Rebeca; Ruiz-Lacaci, Nuria; Reyes-Menéndez, Ana

doi:10.4018/978-1-7998-7263-4.ch011

Cited by 4 publications

(2 citation statements)

References 49 publications

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“…Finally, when designing mobile gamified exercise apps, managers should define a set of KPIs (key performance indicators), as this can help to examine the development and effectiveness of the apps (Antolín-Prieto et al, 2021;Reyes-Menendez et al, 2020). Thus, we encourage managers of gamified exercise apps to define KPIs to evaluate the gamification system and use this information to improve users' experience with the app or make improvements and adjustments.…”

Section: Practical Implicationsmentioning

confidence: 99%

The motivational power of mobile gamified exercise apps

Bitrián¹,

Buil²,

Catalán³

2023

cuadernosgestion

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This study analyses how gamification motivates users of gamified mobile exercise apps and enhances their health. Data from 276 Fitbit users were analysed using structural equation modelling. The findings showed that feelings of competence and autonomy arise when exercise apps include achievement and progression-oriented affordances, and that feelings of relatedness arise with social, immersion and achievement and progression-oriented affordances. They also revealed that exercise apps should satisfy the needs for competence and relatedness to develop individuals’ intrinsic motivation, which in turn leads to greater physical, mental and social health. These findings offer insights for managers in this industry.

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Section: Practical Implicationsmentioning

confidence: 99%

The motivational power of mobile gamified exercise apps

Bitrián¹,

Buil²,

Catalán³

2023

cuadernosgestion

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“…[ 41 ] as well as external data sources (laboratories, pharmacies, patient-reported data, biometric and other data received directly from patients, etc.). Additional data sources are increasingly available, such us data derived from Internet use (social media) and smart applications [ 42 , 43 , 44 , 45 ]. For the management and processing of these data, many healthcare sectors have adopted cloud computing.…”

Section: Introductionmentioning

confidence: 99%

Towards the Use of Big Data in Healthcare: A Literature Review

et al. 2022

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The interest in new and more advanced technological solutions is paving the way for the diffusion of innovative and revolutionary applications in healthcare organizations. The application of an artificial intelligence system to medical research has the potential to move toward highly advanced e-Health. This analysis aims to explore the main areas of application of big data in healthcare, as well as the restructuring of the technological infrastructure and the integration of traditional data analytical tools and techniques with an elaborate computational technology that is able to enhance and extract useful information for decision-making. We conducted a literature review using the Scopus database over the period 2010–2020. The article selection process involved five steps: the planning and identification of studies, the evaluation of articles, the extraction of results, the summary, and the dissemination of the audit results. We included 93 documents. Our results suggest that effective and patient-centered care cannot disregard the acquisition, management, and analysis of a huge volume and variety of health data. In this way, an immediate and more effective diagnosis could be possible while maximizing healthcare resources. Deriving the benefits associated with digitization and technological innovation, however, requires the restructuring of traditional operational and strategic processes, and the acquisition of new skills.

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