The Italian National Register of infants with congenital hypothyroidism: twenty years of surveillance and study of congenital hypothyroidism

All the Italian Centres in charge of screening, diagnosis, and follow-up of infants with congenital hypothyroidism participate in the Italian National Registry of affected infants, which performs the nationwide surveillance of the disease. It was established in 1987 as a program of the Health Ministry and is coordinated by the Istituto Superiore di Sanità. The early diagnosis performed by the nationwide newborn screening programme, the prompt treatment and the appropriate clinical management of the patients carried out by the Follow-up Centres, and the surveillance of the disease performed by the National Register of infants with congenital hypothyroidism are the components of an integrated approach to the disease which has been successfully established in our country

Multi-dimensional performance analysis and monitoring using integrated performance spectra

In process mining, basic descriptive statistics over observed events of event logs or streams, projected onto a process model, are typically used for performance analysis. The so-called performance spectrum is used for the fine-grained description of process performance over time, additionally revealing phenomena related to the behavior of multiple cases together. The performance spectrum computed from traces aligned with a process model allows performance analysis of processes with concurrency. However, performance spectra are used to describe performance only along the case level, leaving performance analysis and monitoring of other process dimensions out of scope. This paper presents an approach and tool combining a synchronous proclet system with a performance spectrum for multi-dimensional performance real-time monitoring and post-mortem analysis. While the tool is a proof-of-concept implementation, designed for analysis of the control-flow, resource and queue dimensions of logistic processes, the presented concepts are general

Rethinking the Input for Process Mining : Insights from the XES Survey and Workshop

Although the popularity and adoption of process mining techniques grew rapidly in recent years, a large portion of effort invested in process mining initiatives is still consumed by event data extraction and transformation rather than process analysis. The IEEE Task Force on Process Mining conducted a study focused on the challenges faced during event data preparation (from source data to event log). This paper presents findings from the online survey with 289 participants spanning the roles of practitioners, researchers, software vendors, and end-users. These findings were presented at the XES 2.0 workshop co-located with the 3rd International Conference on Process Mining. The workshop also hosted presentations from various stakeholder groups and a discussion panel on the future of XES and the input needed for process mining. This paper summarises the main findings of both the survey and the workshop. These outcomes help us to accelerate and improve the standardisation process, hopefully leading to a new standard widely adopted by both academia and industry.</p