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. 2022 Sep 21:1-19.
doi: 10.1007/s12652-022-04388-6. Online ahead of print.

An ambient assisted living architecture for hospital at home coupled with a process-oriented perspective

Emilio Sulis  1 , Ilaria Angela Amantea  1 , Marco Aldinucci  1 , Guido Boella  1 , Renata Marinello  2 , Marco Grosso  2 , Paolo Platter  3 , Serena Ambrosini  4
Affiliations

An ambient assisted living architecture for hospital at home coupled with a process-oriented perspective

Emilio Sulis et al. J Ambient Intell Humaniz Comput. .

Abstract

The growing number of next-generation applications offers a relevant opportunity for healthcare services, generating an urgent need for architectures for systems integration. Moreover, the huge amount of stored information related to events can be explored by adopting a process-oriented perspective. This paper discusses an Ambient Assisted Living healthcare architecture to manage hospital home-care services. The proposed solution relies on adopting an event manager to integrate sources ranging from personal devices to web-based applications. Data are processed on a federated cloud platform offering computing infrastructure and storage resources to improve scientific research. In a second step, a business process analysis of telehealth and telemedicine applications is considered. An initial study explored the business process flow to capture the main sequences of tasks, activities, events. This step paves the way for the integration of process mining techniques to compliance monitoring in an AAL architecture framework.

Keywords: Business Process Management and Integration; Healthcare; Integration and modeling; Interoperability; Services Integration Framework; System architectures.

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Figures

Fig. 1
Fig. 1
The AAL general framework about Hospital at Home Services
Fig. 2
Fig. 2
The clinical trial manager platform (CLIP)
Fig. 3
Fig. 3
Data Ingestion framework to collect data from IoT solutions
Fig. 4
Fig. 4
Example of how the communication between systems works. This case shows a device for language rehabilitation post-stroke
Fig. 5
Fig. 5
A business process model of HHS admission in BPMN
Fig. 6
Fig. 6
A Direct-Follow Graph based on information collected by the AAL framework. In the diagram, rectangles are events occurred to service patients during their stay in the service’s care. Each label includes the ICD-9 code and the frequency of the corresponding procedure in the considered dataset. The color highlights the most frequent events. Arcs indicate the direction of the flows. The weight of the arc is the number of connections between the respective procedures
See this image and copyright information in PMC

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