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A Collaborative Platform for Management of Chronic Diseases via Guideline-Driven Individualized Care Plans

Authors :
Gokce B. Laleci Erturkmen
Mustafa Yuksel
Bunyamin Sarigul
Theodoros N. Arvanitis
Pontus Lindman
Rong Chen
Lei Zhao
Eric Sadou
Jacques Bouaud
Lamine Traore
Alper Teoman
Sarah N. Lim Choi Keung
George Despotou
Esteban de Manuel
Dolores Verdoy
Antonio de Blas
Nicolas Gonzalez
Mikael Lilja
Malte von Tottleben
Marie Beach
Christopher Marguerie
Gunnar O. Klein
Dipak Kalra
Source :
Computational and Structural Biotechnology Journal, Vol 17, Iss , Pp 869-885 (2019)
Publication Year :
2019
Publisher :
Elsevier, 2019.

Abstract

Older age is associated with an increased accumulation of multiple chronic conditions. The clinical management of patients suffering from multiple chronic conditions is very complex, disconnected and time-consuming with the traditional care settings. Integrated care is a means to address the growing demand for improved patient experience and health outcomes of multimorbid and long-term care patients. Care planning is a prevalent approach of integrated care, where the aim is to deliver more personalized and targeted care creating shared care plans by clearly articulating the role of each provider and patient in the care process. In this paper, we present a method and corresponding implementation of a semi-automatic care plan management tool, integrated with clinical decision support services which can seamlessly access and assess the electronic health records (EHRs) of the patient in comparison with evidence based clinical guidelines to suggest personalized recommendations for goals and interventions to be added to the individualized care plans. We also report the results of usability studies carried out in four pilot sites by patients and clinicians. Keywords: Integrated care, Chronic disease management, Clinical decision support systems, Evidence based clinical guidelines

Subjects

Subjects :
Biotechnology
TP248.13-248.65

Details

Language :
English
ISSN :
20010370
Volume :
17
Issue :
869-885
Database :
Directory of Open Access Journals
Journal :
Computational and Structural Biotechnology Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.273722f0545d4b48d49588359071d
Document Type :
article
Full Text :
https://doi.org/10.1016/j.csbj.2019.06.003