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Real-world Implementation of an eHealth System Based on Artificial Intelligence Designed to Predict...

Real-world Implementation of an eHealth System Based on Artificial Intelligence Designed to Predict...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5813b868244741939b844fa4b6109715

Real-world Implementation of an eHealth System Based on Artificial Intelligence Designed to Predict and Reduce Emergency Department Visits by Older Adults: Pragmatic Trial

About this item

Full title

Real-world Implementation of an eHealth System Based on Artificial Intelligence Designed to Predict and Reduce Emergency Department Visits by Older Adults: Pragmatic Trial

Publisher

Toronto: Journal of Medical Internet Research

Journal title

Journal of medical Internet research, 2022-09, Vol.24 (9), p.e40387-e40387

Language

English

Formats

Publication information

Publisher

Toronto: Journal of Medical Internet Research

More information

Scope and Contents

Contents

Frail older people use emergency services extensively, and digital systems that monitor health remotely could be useful in reducing these visits by earlier detection of worsening health conditions. We aimed to implement a system that produces alerts when the machine learning algorithm identifies a short-term risk for an emergency department (ED) vi...

Alternative Titles

Full title

Real-world Implementation of an eHealth System Based on Artificial Intelligence Designed to Predict and Reduce Emergency Department Visits by Older Adults: Pragmatic Trial

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_5813b868244741939b844fa4b6109715

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5813b868244741939b844fa4b6109715

Other Identifiers

ISSN

1438-8871,1439-4456

E-ISSN

1438-8871

DOI

10.2196/40387

How to access this item