Personal health data: A systematic mapping study
Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
Objective: The main objective of this study is to identify and address research gaps in literature regarding PHD. Method: This paper conducts a systematic mapping study to summarize the existing PHD approaches in literature and to organize the selected studies according to six classification criteria: publication source, publication year, research types, empirical types, contribution types and research topic.
Results: In total 79 papers have been included after fulfilling the inclusion criteria and have been classified accordingly. There is an increasing amount of attention that has been paid to PHD since 2014. The majority of papers is published in journals. The two main research types found were solution proposals and evaluation research. The majority of the selected papers were empirically evaluated. The main contribution types were methods and frameworks. Data privacy is the most frequently addressed topic in PHD literature, followed by data sharing.
Conclusions: The findings of this systematic mapping study have implications for both researchers who are planning new studies in PHD and for practitioners who are working in connected health and would like to have an overview on the existent studies on PHD research area.
- Personal health data, Systematic mapping study, Digital data, Data privacy and security, Data sharing