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Artificial intelligence-enhanced care pathway planning and scheduling system: content validity asses...

Artificial intelligence-enhanced care pathway planning and scheduling system: content validity asses...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_585924f5029a4afabf0e39150355838c

Artificial intelligence-enhanced care pathway planning and scheduling system: content validity assessment of required functionalities

About this item

Full title

Artificial intelligence-enhanced care pathway planning and scheduling system: content validity assessment of required functionalities

Publisher

England: BioMed Central Ltd

Journal title

BMC health services research, 2022-12, Vol.22 (1), p.1513-9, Article 1513

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Artificial intelligence (AI) and machine learning are transforming the optimization of clinical and patient workflows in healthcare. There is a need for research to specify clinical requirements for AI-enhanced care pathway planning and scheduling systems to improve human-AI interaction in machine learning applications. The aim of this study was to...

Alternative Titles

Full title

Artificial intelligence-enhanced care pathway planning and scheduling system: content validity assessment of required functionalities

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_585924f5029a4afabf0e39150355838c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_585924f5029a4afabf0e39150355838c

Other Identifiers

ISSN

1472-6963

E-ISSN

1472-6963

DOI

10.1186/s12913-022-08780-y

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