The data collected in the clinical registries or by data reuse require some modifications in order to suit the research needs. Several common operations are frequently applied to select relevant patients across the cohort, combine data from multiple sources, add new variables if needed and create unique tables depending on the research purpose. We carried out a qualitative survey by conducting semi-structured interviews with 7 experts in data reuse and proposed a standard workflow for health data management. We implemented a R tutorial based on a synthetic data set using Jupyter Notebook for a better understanding of the data management workflow.
The French Professional Suicidal Helpline 3114 was launched on October 1st, 2021. The objective of this study was to implement automated reports of the activity of the suicidal helpline. We developed automated reports and presentations with Rmarkdown. Two formats were developed, national reports to present for a funding agency and regional reports for each calling center. These reports fulfill a critical need to adjust call distribution patterns, identify problems, adjust communication across the territory and ensure that 3114 is delivering the service it is supposed to provide.
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