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Through the overview of studies on social representations of forced migrants (socio-cultural level of analysis), the purpose of this paper is to highlight how the variables implicated at the macro levels of analysis may affect the way social and health workers relate to and care for forced migrants (inter-personal level of analysis), as well as the settlement process of forced migrants and their identity reconstruction during the post-migration period.

The narrative review analyses empirical studies from peer-reviewed journals in the field of social psychology that address forced migration. Indeed, the framework used for analysing this literature is the interplay within different levels of analysis, as proposed by Willem Doise’s (1982) using the socio-psychological approach.

Psychosocial factors play influential roles on structuring the way natives health and social professionals relate with forced migrants: among others, needs related to possible traumatising processes are attributed to forced migrants by natives providers. Therefore, identity negotiation process in the forced migration shows a tendency of migrants to reshape the definition of the self within those narrative boundaries that would ensure the protection by the law and that reinforce the social representation of the “medicalised” victim.

The review would represent a possibility to reflect around dynamics created by the complex interplay within different social actors that contact during the settlement process of forced migrants inside host societies.

The primary objective of this paper is to show a systematic and methodological approach for the digitalization of critical clinical pathways (CPs) within the healthcare domain.

The methodology entails the integration of service design (SD) and action research (AR) methodologies, characterized by iterative phases that systematically alternate between action and reflective processes, fostering cycles of change and learning. Within this framework, stakeholders are engaged through semi-structured interviews, while the existing and envisioned processes are delineated and represented using BPMN 2.0. These methodological steps emphasize the development of an autonomous, patient-centric web application alongside the implementation of an adaptable and patient-oriented scheduling system. Also, business processes simulation is employed to measure key performance indicators of processes and test for potential improvements. This method is implemented in the context of the CP addressing transient loss of consciousness (TLOC), within a publicly funded hospital setting.

The methodology integrating SD and AR enables the detection of pivotal bottlenecks within diagnostic CPs and proposes optimal corrective measures to ensure uninterrupted patient care, all the while advancing the digitalization of diagnostic CP management. This study contributes to theoretical discussions by emphasizing the criticality of process optimization, the transformative potential of digitalization in healthcare and the paramount importance of user-centric design principles, and offers valuable insights into healthcare management implications.

The study’s relevance lies in its ability to enhance healthcare practices without necessitating disruptive and resource-intensive process overhauls. This pragmatic approach aligns with the imperative for healthcare organizations to improve their operations efficiently and cost-effectively, making the study’s findings relevant.