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Artificial Intelligence Can Improve Patient Management at the Time of a Pandemic: The Role of Voice Technology.
Jadczyk, Tomasz; Wojakowski, Wojciech; Tendera, Michal; Henry, Timothy D; Egnaczyk, Gregory; Shreenivas, Satya.
  • Jadczyk T; Department of Cardiology and Structural Heart Diseases, Medical University of Silesia, Katowice, Poland.
  • Wojakowski W; Interventional Cardiac Electrophysiology Group, International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic.
  • Tendera M; Department of Cardiology and Structural Heart Diseases, Medical University of Silesia, Katowice, Poland.
  • Henry TD; Department of Cardiology and Structural Heart Diseases, Medical University of Silesia, Katowice, Poland.
  • Egnaczyk G; The Carl and Edyth Lindner Center for Research and Education, The Christ Hospital, Cincinnati, OH, United States.
  • Shreenivas S; The Carl and Edyth Lindner Center for Research and Education, The Christ Hospital, Cincinnati, OH, United States.
J Med Internet Res ; 23(5): e22959, 2021 05 25.
Article in English | MEDLINE | ID: covidwho-1231299
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Voice / Artificial Intelligence / Telemedicine / Communication / Delivery of Health Care / Speech Recognition Software / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 22959

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Voice / Artificial Intelligence / Telemedicine / Communication / Delivery of Health Care / Speech Recognition Software / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 22959