Literature DB >> 26116855

"Tele-rounding" with a remotely controlled mobile robot in the neonatal intensive care unit.

Arlene Garingo1, Philippe Friedlich2, Thomas Chavez2, Linda Tesoriero2, Shilpa Patil2, Paige Jackson2, Istvan Seri2.   

Abstract

OBJECTIVE: To investigate the feasibility of 'tele-rounding' in the neonatal intensive care.
METHODS: In this prospective study utilizing telemedicine technology in the NICU for daily patient bedside rounds ('tele-rounds'), twenty pairs of neonates were matched according to gestational age, diagnoses, and disease severity. One patient was cared for by the on-site NICU team lead by an on-site neonatologist. The other patient was cared for by the on-site team but led by an off-site neonatologist using a remote-controlled robot. Patient rounding data, clinical outcomes, length of stay, and hospital costs were compared between the two groups. Parents and staff were also surveyed about their satisfaction with telemedicine.
RESULTS: Except for one parameter, no significant differences in care or outcomes were found between patients cared for by either neonatologist. The exception was the time the off-site neonatologist spent on the patient encounter compared to the on-site neonatologist (median [interquartile range]), (5 minutes [5, 6] vs. 8 minutes [7, 10.5], p = 0.002). This difference was due primarily to time needed to operate and maneuver the robot or occasionally to slower or dropped connection to the Internet. There were positive perceptions of telemedicine among both parents and NICU staff.
CONCLUSION: As long as direct bedside care providers are available, remote-controlled, robotic telemedicine technology can be utilized by neonatologists to perform daily patient rounds in the neonatal intensive care unit.
© The Author(s) 2015.

Entities:  

Keywords:  Neonates; neonatal intensive care; remote controlled robot; telemedicine

Mesh:

Year:  2015        PMID: 26116855     DOI: 10.1177/1357633X15589478

Source DB:  PubMed          Journal:  J Telemed Telecare        ISSN: 1357-633X            Impact factor:   6.184


  7 in total

1.  Assessment of the Acceptability and Feasibility of Using Mobile Robotic Systems for Patient Evaluation.

Authors:  Peter R Chai; Farah Z Dadabhoy; Hen-Wei Huang; Jacqueline N Chu; Annie Feng; Hien M Le; Joy Collins; Marco da Silva; Marc Raibert; Chin Hur; Edward W Boyer; Giovanni Traverso
Journal:  JAMA Netw Open       Date:  2021-03-01

2.  Telerounding: A scoping review and implications for future healthcare practice.

Authors:  Andrew C Griggs; Crystal M Fausett; Richard J Simonson; Kimberly N Williams; Tiffany M Bisbey; Elizabeth H Lazzara; Joseph R Keebler; Deborah DiazGranados; Vimal K Mishra; Eric J Thomas; Eduardo Salas
Journal:  Hum Factors Healthc       Date:  2022-04-08

3.  Use of Robots in Critical Care: Systematic Review.

Authors:  Rachel Teng; Yichen Ding; Kay Choong See
Journal:  J Med Internet Res       Date:  2022-05-16       Impact factor: 7.076

4.  Expectations and Perceptions of Healthcare Professionals for Robot Deployment in Hospital Environments During the COVID-19 Pandemic.

Authors:  Sergio D Sierra Marín; Daniel Gomez-Vargas; Nathalia Céspedes; Marcela Múnera; Flavio Roberti; Patricio Barria; Subramanian Ramamoorthy; Marcelo Becker; Ricardo Carelli; Carlos A Cifuentes
Journal:  Front Robot AI       Date:  2021-06-02

5.  Using telehealth to support pediatricians in newborn care.

Authors:  Jennifer L Fang; John Chuo
Journal:  Curr Probl Pediatr Adolesc Health Care       Date:  2021-01-31

6.  Evaluation of Neonatal Services Provided in a Level II NICU Utilizing Hybrid Telemedicine: A Prospective Study.

Authors:  Abhishek Makkar; Mike McCoy; Gene Hallford; Arlen Foulks; Michael Anderson; Jennifer Milam; Marla Wehrer; Erica Doerfler; Edgardo Szyld
Journal:  Telemed J E Health       Date:  2019-11-01       Impact factor: 3.536

7.  Covid, AI, and Robotics-A Neurologist's Perspective.

Authors:  Syed Nizamuddin Ahmed
Journal:  Front Robot AI       Date:  2021-03-25
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.