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Advanced robotics as a support in healthcare organizational response: A COVID-19 pandemic case study.
Bartosiak, Marcin; Bonelli, Gianni; Maffioli, Lorenzo Stefano; Palaoro, Ugo; Dentali, Francesco; Poggialini, Giovanni; Pagliarin, Federica; Denicolai, Stefano; Previtali, Pietro.
  • Bartosiak M; 19001University of Pavia, Pavia, Italy.
  • Bonelli G; ASST dei Sette Laghi, Varese, Italy.
  • Maffioli LS; ASST dei Sette Laghi, Varese, Italy.
  • Palaoro U; ASST dei Sette Laghi, Varese, Italy.
  • Dentali F; ASST dei Sette Laghi, Varese, Italy.
  • Poggialini G; ASST dei Sette Laghi, Varese, Italy.
  • Pagliarin F; ASST dei Sette Laghi, Varese, Italy.
  • Denicolai S; 19001University of Pavia, Pavia, Italy.
  • Previtali P; 19001University of Pavia, Pavia, Italy.
Healthc Manage Forum ; 35(1): 11-16, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1571651
ABSTRACT
The use of robotics is becoming widespread in healthcare. However, little is known about how robotics can affect the relationship with patients during an emergency or how it impacts clinicians in their organization and work. As a hospital responding to the consequences of the COVID-19 pandemic "ASST dei Sette Laghi" (A7L) in Varese, Italy, had to react quickly to protect its staff from infection while coping with high budgetary pressure as prices of Personal Protection Equipment (PPE) increased rapidly. In response, it introduced six semi-autonomous robots to mediate interactions between staff and patients. Thanks to the cooperation of multiple departments, A7L implemented the solution in less than 10 weeks. It reduced risks to staff and outlay for PPE. However, the characteristics of the robots affected staff's perceptions. This case study reviews critical issues faced by A7L in introducing these devices and recommendations for the path forward.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Robotics / COVID-19 Type of study: Case report / Prognostic study Limits: Humans Language: English Journal: Healthc Manage Forum Journal subject: Hospitals / Health Services Year: 2022 Document Type: Article Affiliation country: 08404704211042467

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Robotics / COVID-19 Type of study: Case report / Prognostic study Limits: Humans Language: English Journal: Healthc Manage Forum Journal subject: Hospitals / Health Services Year: 2022 Document Type: Article Affiliation country: 08404704211042467