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Normalization of Risk in Primary Care: Revealing Latent Safety Threats Through Simple Digital Monitoring in Family
Adriana-Lavinia Cioca1,2, Marius Cioca3, Bogdan Mihai Neamtu4,5
1Department of Clinical Medicine, Faculty of Medicine, Lucian Blaga University of Sibiu, Sibiu, Romania.
Introduction:
Increasing workload, time pressure, and administrative demands in family medicine create conditions in which delays in routine preventive and monitoring activities may gradually become normalized. When such delays are no longer perceived as exceptional, they can evolve into latent safety threats that remain largely invisible in everyday clinical practice. This study explores whether a simple digital monitoring approach can support the visibility and management of normalized risk in a primary care setting.
Methods:
This exploratory, single-site, practice-based quality improvement initiative was conducted in a family medicine setting. A lightweight digital monitoring dashboard was used to track routine preventive and chronic care recommendations over time, based on commonly accepted follow-up intervals. Overdue actions were identified through comparison between expected timing and recorded completion, using routinely available clinical data integrated into everyday workflows.
Results:
At baseline, a small number of overdue recommendations (including at least one active delay distributed across multiple care domains) were identified, with a temporal pattern suggestive of accumulating latent risk. Following targeted clinical follow-up, a partial reduction in delays was observed, with improvement across care domains. In the final observation phase, all overdue recommendations were resolved (0 active delays), suggesting a transition toward a more stable and lower-risk operational state within the observed practice context.
Conclusion:
These findings suggest that simple, low-cost digital monitoring tools may help support the visibility and management of normalized risk in family medicine. By making routine delays visible, such approaches may enhance situational awareness and support timely clinical follow-up in resource-constrained primary care environments.
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