A. Da Ros
5 Papers
A. Da Ros is an academic researcher. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 1, co-authored 3 publications.
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Papers
An Overview of Reviews: Organizational Change Management Architecture
TL;DR: In this paper , the authors provide an overview of the state-of-the-art organizational change taxonomy, focusing on nine thematic groups containing a total of 41 change variables, including strategic and behavioral change variables.
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Physiotherapy as part of primary health care, Italy
TL;DR: The Family and Community Physiotherapist (FPCP) model as discussed by the authors aims to incorporate rehabilitation services within primary health care in Tuscanyone, including general practitioners, physiatrists, and geriatricians.
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Methodologies for determining staffing needs in healthcare: systematic literature review
TL;DR: A systematic literature review to explore several approaches worldwide, examining a wide range of contextual variables, useful for the definition of an omni-comprehensive approach to staffing needs, finds innovative approaches based on algorithms which are adjusted by moderating key variables such as contextual factors, healthcare organisation models and professional attributes.
A comparative evaluation of organizational models of physiotherapy through measures reported by patients.
A. Da Ros,Francesca Pennucci,Giaele Moretti,Sabina De Rosis +3 more
TL;DR: This study compares traditional and fast-track physiotherapy models for total hip replacement patients, finding equivalent patient-reported outcomes but differing organizational characteristics, with the fast-track model offering shorter length of stay and reduced resource use.
Unlocking organizational change: a deep dive through a data triangulation in healthcare
TL;DR: This study aims to analyze organizational changes within the total hip replacement (THR) surgery pathway at multiple levels, including macro, meso and micro, to gauge the complexity of the change process and comprehend how multi-level decision-making influenced an unexpected shift.