Management of personalised guideline-driven care plans addressing the needs of multi-morbidity via clinical decision support services

Ertürkmen, Gökçe Banu Laleci; Yuksel, Mustafa; Sarigul, Bunyamin; Lindman, Pontus; Chen, Rong; Zhao, Lei; Bouaud, Jacques; Lilja, Mikael; Manuel, Esteban de; Verdoy, Dolores; Blas, Antonio De; Marguerie, Christopher; Klein, Gunnar O.; Keung, Sarah Niukyun Lim Choi; Arvanitis, Theodoros N.

doi:10.5334/ijic.s2132

Int J Integr Care

2018

DOI: 10.5334/ijic.s2132

|View full text |Cite

Management of personalised guideline-driven care plans addressing the needs of multi-morbidity via clinical decision support services

Gökçe Banu Laleci Ertürkmen¹,

Mustafa Yuksel²,

Bunyamin Sarigul³

et al.

Abstract: Management of personalised guideline-driven care plans addressing the needs of multi-morbidity via clinical decision support services 18 th

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Book1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Clinical Decision Support Systems for Diabetes Care: Evidence and Development between 2017 and Present

Zhang¹,

Jiang²,

Ozanich³

2023

Biomedical Engineering

View full text Add to dashboard Cite

The clinical decision support systems (CDSs) for diabetes have improved significantly over the years. Multiple factors serve as driving forces for the uptake of CDSs. Newer technologies, initiatives, government mandates, and a competitive environment collectively facilitate advancement in diabetes care. This book chapter summarizes global CDSs development in recent years. Our review of the past few years’ publications on CDSs for diabetes shows that the United States is leading the world in technology development and clinical evidence generation. Developing countries worldwide are catching up in CDSs development and standards of patient care. Though most CDSs and published studies are on diabetes diagnosis, treatment, and management, a small portion of the research is devoted to prediabetes and type I diabetes. Increased efforts worldwide have been devoted to artificial intelligence and machine learning in diabetes care.

show abstract

Clinical Decision Support Systems for Diabetes Care: Evidence and Development between 2017 and Present

Zhang¹,

Jiang²,

Ozanich³

2023

Biomedical Engineering

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Management of personalised guideline-driven care plans addressing the needs of multi-morbidity via clinical decision support services

Abstract: Management of personalised guideline-driven care plans addressing the needs of multi-morbidity via clinical decision support services 18 th

Cited by 1 publication

References 0 publications

Clinical Decision Support Systems for Diabetes Care: Evidence and Development between 2017 and Present

Clinical Decision Support Systems for Diabetes Care: Evidence and Development between 2017 and Present

Contact Info

Product

Resources

About