Name
Abstract | ||
|---|---|---|
In the context of health and social care, it is important to provide assistance to individuals in their own home by coordinating the activities of several actors. The coordination of processes of different organizations is a complex task which requires continuous attention. Process mining techniques have been widely used to discover hidden information useful to understand the behaviour of a single process. Thanks to the spread of Internet of Things (IoT), this complex activity can benefit also from the huge amount of data collected for other purposes. In this paper we propose techniques for exploiting the information available in the environment, considering several sources of information to analyse the interconnections of business processes. We apply the proposed approach to a health-care scenario enriched with IoT devices. The proposed techniques allow the discovery of interconnections between processes and external factors which have an impact on them. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ISC2.2016.7580760 | 2016 IEEE International Smart Cities Conference (ISC2) |
Keywords | Field | DocType |
interconnecting processes,health care scenario,social care,process mining techniques,hidden information,single process behaviour,Internet-of-Things,data collection,business processes,IoT devices,external factors | Health care,Business process,Computer science,Internet of Things,Knowledge management,Process mining | Conference |
ISBN | Citations | PageRank |
978-1-5090-1847-5 | 1 | 0.35 |
References | Authors | |
18 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Monica Vitali | 1 | 64 | 11.82 |
| Barbara Pernici | 2 | 3401 | 488.75 |