-
Je něco špatně v tomto záznamu ?
Artificial Intelligence Can Improve Patient Management at the Time of a Pandemic: The Role of Voice Technology
T. Jadczyk, W. Wojakowski, M. Tendera, TD. Henry, G. Egnaczyk, S. Shreenivas
Jazyk angličtina Země Kanada
Typ dokumentu časopisecké články
NLK
Directory of Open Access Journals
od 1999
Free Medical Journals
od 1999
Freely Accessible Science Journals
od 1999
PubMed Central
od 1999
Europe PubMed Central
od 1999
ProQuest Central
od 2001-01-01
Open Access Digital Library
od 1999-01-01
Open Access Digital Library
od 1999-01-01
Medline Complete (EBSCOhost)
od 2005-02-24
Nursing & Allied Health Database (ProQuest)
od 2001-01-01
Health & Medicine (ProQuest)
od 2001-01-01
ROAD: Directory of Open Access Scholarly Resources
od 1999
PubMed
33999834
DOI
10.2196/22959
Knihovny.cz E-zdroje
- MeSH
- chronická nemoc terapie MeSH
- COVID-19 * MeSH
- hlas * MeSH
- komunikace * MeSH
- konziliární vyšetření a konzultace MeSH
- lidé MeSH
- mobilní telefon MeSH
- pandemie MeSH
- péče o pacienty v kritickém stavu metody MeSH
- poskytování zdravotní péče metody MeSH
- software pro rozpoznávání řeči * MeSH
- telemedicína metody MeSH
- třídění pacientů MeSH
- umělá inteligence * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
Artificial intelligence-driven voice technology deployed on mobile phones and smart speakers has the potential to improve patient management and organizational workflow. Voice chatbots have been already implemented in health care-leveraging innovative telehealth solutions during the COVID-19 pandemic. They allow for automatic acute care triaging and chronic disease management, including remote monitoring, preventive care, patient intake, and referral assistance. This paper focuses on the current clinical needs and applications of artificial intelligence-driven voice chatbots to drive operational effectiveness and improve patient experience and outcomes.
Department of Cardiology and Structural Heart Diseases Medical University of Silesia Katowice Poland
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc21018570
- 003
- CZ-PrNML
- 005
- 20210830100141.0
- 007
- ta
- 008
- 210728s2021 xxc f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.2196/22959 $2 doi
- 035 __
- $a (PubMed)33999834
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxc
- 100 1_
- $a Jadczyk, Tomasz $u Department of Cardiology and Structural Heart Diseases, Medical University of Silesia, Katowice, Poland $u Interventional Cardiac Electrophysiology Group, International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic
- 245 10
- $a Artificial Intelligence Can Improve Patient Management at the Time of a Pandemic: The Role of Voice Technology / $c T. Jadczyk, W. Wojakowski, M. Tendera, TD. Henry, G. Egnaczyk, S. Shreenivas
- 520 9_
- $a Artificial intelligence-driven voice technology deployed on mobile phones and smart speakers has the potential to improve patient management and organizational workflow. Voice chatbots have been already implemented in health care-leveraging innovative telehealth solutions during the COVID-19 pandemic. They allow for automatic acute care triaging and chronic disease management, including remote monitoring, preventive care, patient intake, and referral assistance. This paper focuses on the current clinical needs and applications of artificial intelligence-driven voice chatbots to drive operational effectiveness and improve patient experience and outcomes.
- 650 12
- $a umělá inteligence $7 D001185
- 650 12
- $a COVID-19 $7 D000086382
- 650 _2
- $a mobilní telefon $7 D040421
- 650 _2
- $a chronická nemoc $x terapie $7 D002908
- 650 12
- $a komunikace $7 D003142
- 650 _2
- $a péče o pacienty v kritickém stavu $x metody $7 D003422
- 650 _2
- $a poskytování zdravotní péče $x metody $7 D003695
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a pandemie $7 D058873
- 650 _2
- $a konziliární vyšetření a konzultace $7 D012017
- 650 12
- $a software pro rozpoznávání řeči $7 D049250
- 650 _2
- $a telemedicína $x metody $7 D017216
- 650 _2
- $a třídění pacientů $7 D014218
- 650 12
- $a hlas $7 D014831
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Wojakowski, Wojciech $u Department of Cardiology and Structural Heart Diseases, Medical University of Silesia, Katowice, Poland
- 700 1_
- $a Tendera, Michal $u Department of Cardiology and Structural Heart Diseases, Medical University of Silesia, Katowice, Poland
- 700 1_
- $a Henry, Timothy D $u The Carl and Edyth Lindner Center for Research and Education, The Christ Hospital, Cincinnati, OH, United States
- 700 1_
- $a Egnaczyk, Gregory $u The Carl and Edyth Lindner Center for Research and Education, The Christ Hospital, Cincinnati, OH, United States
- 700 1_
- $a Shreenivas, Satya $u The Carl and Edyth Lindner Center for Research and Education, The Christ Hospital, Cincinnati, OH, United States
- 773 0_
- $w MED00007388 $t Journal of medical Internet research $x 1438-8871 $g Roč. 23, č. 5 (2021), s. e22959
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/33999834 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y p $z 0
- 990 __
- $a 20210728 $b ABA008
- 991 __
- $a 20210830100141 $b ABA008
- 999 __
- $a ok $b bmc $g 1689612 $s 1139016
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2021 $b 23 $c 5 $d e22959 $e 20210525 $i 1438-8871 $m JMIR. Journal of medical internet research $n J Med Internat Res $x MED00007388
- LZP __
- $a Pubmed-20210728