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suck abstract from ncbi


10.1016/j.rceng.2021.01.007

http://scihub22266oqcxt.onion/10.1016/j.rceng.2021.01.007
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34172430!8214173!34172430
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suck abstract from ncbi

pmid34172430      Rev+Clin+Esp+(Barc) 2021 ; 221 (8): 464-467
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  • Usefulness and acceptance of telephone monitoring by a virtual assistant for patients with COVID-19 following discharge #MMPMID34172430
  • Garcia Bermudez I; Gonzalez Manso M; Sanchez Sanchez E; Rodriguez Hita A; Rubio Rubio M; Suarez Fernandez C
  • Rev Clin Esp (Barc) 2021[Oct]; 221 (8): 464-467 PMID34172430show ga
  • COVID-19 has placed a significant burden on the healthcare system, making it necessary to implement new tools that allow patients to be monitored remotely and guarantee quality and continuity of care. The usefulness and acceptance by patients of a virtual caregiver designed for follow-up in the month following hospital discharge for COVID-19 are evaluated. The virtual assistant, based on voice and artificial intelligence technology, made telephone calls at 48?h, seven days, 15 days, and 30 days after discharge and asked five questions about the patient's health. If the answer to any of the questions was affirmative, it generated an alert that was transferred to a healthcare professional One hundred patients were included in the project and 85 alerts were generated in 45 of the patients, most at one month after hospital discharge. The nursing staff resolved 94% of them by telephone. Patient satisfaction with the virtual caregiver was high.
  • |*COVID-19/therapy[MESH]
  • |*Remote Consultation[MESH]
  • |*Telephone[MESH]
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Aftercare/*methods[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Patient Discharge[MESH]
  • |Time Factors[MESH]


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