Publications by authors named "Ronny Mans"

In the hospital setting, a small percentage of recurrent frequent patients contribute to a disproportional amount of healthcare resource utilization. Moreover, in many of these cases, patient outcomes can be greatly improved by reducing re-occurring visits, especially when they are associated with substance abuse, mental health, and medical factors that could be improved by social-behavioral interventions, outpatient or preventative care. Additionally, health care costs can be reduced significantly with fewer preventable recurrent visits.

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Article Synopsis
  • - Process mining techniques analyze business processes using execution data, particularly in healthcare to evaluate diagnostic, treatment, and organizational workflows.
  • - Despite the vast data generated in hospitals, rigorous adoption of process mining is limited to specific case studies, pointing to a lack of systematic integration in healthcare settings.
  • - The Process-Oriented Data Science in Healthcare Alliance aims to enhance research and application of process mining in healthcare by addressing unique challenges, such as process variability and patient focus.
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Objectives: The primary objective of this clinical study was to assess the patients' perception of the difference between an analogue impression approach on the one hand and an intra-oral scan (IO scan) on the other when restoring implants in the non-aesthetic zone. A second objective was to analyse the difference in time needed to perform these two procedures.

Materials And Methods: Thirty consecutive patients who had received 41 implants (Straumann tissue level) in the non-aesthetic zone in an implant-based referral practice setting in the Netherlands.

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In a competitive health-care market, hospitals have to focus on ways to streamline their processes in order to deliver high quality care while at the same time reducing costs. To accomplish this goal, hospital managers need a thorough understanding of the actual processes. Diffusion of Information and Communication Technology tools within hospitals, such as electronic clinical charts, computerized guidelines and, more generally, decision support systems, make huge collections of data available, not only for data analysis, but also for process analysis.

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