New care pathways for supporting transitional care from hospitals to home using AI and personalized digital assistance

Transitional care may play a vital role in the sustainability of Europe's future healthcare system, offering solutions for relocating patient care from hospital to home, therefore addressing the growing demand for medical care as the population is ageing. Re-hospitalization for the same initial pathological cause is a recurrent problem among older adults with chronic conditions such as heart failure or chronic obstructive pulmonary disease. However, to be effective, it is nowadays essential to integrate into the transitional care process innovative Information and Communications Technology technologies to ensure that patients with comorbidities experience a smooth and coordinated transition from hospitals or care centers to home, thereby reducing the risk of rehospitalization. In this paper, we present an overview of the integration of Internet of Things, artificial intelligence, and digital assistance technologies with traditional care pathways to address the challenges and needs of healthcare systems in Europe. We identify the current gaps in transitional care and define the technology mapping to enhance the care pathways, aiming to improve patient outcomes, safety, and quality of life, avoiding hospital readmissions. Finally, we define the trial setup and evaluation methodology needed to provide clinical evidence that supports the positive impact of technology integration on patient care and discuss the potential effects on the healthcare system.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-05-25
DOI
https://doi.org/10.1038/s41598-025-03332-w
Citations
8
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
5.23

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

New care pathways for supporting transitional care from hospitals to home using AI and personalized digital assistance

Ancuta Nemes, Roberta Bevilacqua, Ionuț Anghel, Arnor Solberg et al.
8 citations
Scientific Reports
Artificial Intelligence in Healthcare and Education
5.23
article

New care pathways for supporting transitional care from hospitals to home using AI and personalized digital assistance

Ancuta Nemes, Roberta Bevilacqua, Ionuț Anghel, Arnor Solberg, Terje Grimstad, Lars Thomas Boye, Federico Barbarossa, Tudor Cioara, Riitta Hellman, Camilla Gabrielsen, Ovidiu Anchidin
article en
8 citations

Abstract

Transitional care may play a vital role in the sustainability of Europe's future healthcare system, offering solutions for relocating patient care from hospital to home, therefore addressing the growing demand for medical care as the population is ageing. Re-hospitalization for the same initial pathological cause is a recurrent problem among older adults with chronic conditions such as heart failure or chronic obstructive pulmonary disease. However, to be effective, it is nowadays essential to integrate into the transitional care process innovative Information and Communications Technology technologies to ensure that patients with comorbidities experience a smooth and coordinated transition from hospitals or care centers to home, thereby reducing the risk of rehospitalization. In this paper, we present an overview of the integration of Internet of Things, artificial intelligence, and digital assistance technologies with traditional care pathways to address the challenges and needs of healthcare systems in Europe. We identify the current gaps in transitional care and define the technology mapping to enhance the care pathways, aiming to improve patient outcomes, safety, and quality of life, avoiding hospital readmissions. Finally, we define the trial setup and evaluation methodology needed to provide clinical evidence that supports the positive impact of technology integration on patient care and discuss the potential effects on the healthcare system.

Scientific ReportsVol. 15(1)
Wilh. Wilhelmsen (Norway) (NO), Benteler (Norway) (NO), Romanian Institute of Science and Technology (RO), Istituto Nazionale di Riposo e Cura per Anziani (IT), Karde (Norway) (NO)
Ministerul Cercetării, Inovării şi Digitalizării, European Commission, Ministero della Salute, Norges Forskningsråd, Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii, Colegiul Consultativ pentru Cercetare-Dezvoltare şi Inovare
Openalex Percentile: Top 5%
Artificial Intelligence in Healthcare and Education
5.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.