首页|National University Health System Reports Findings in Robotics (An Assessment of an Inpatient Robotic Nurse Assistant: A Mixed-Method Study)

National University Health System Reports Findings in Robotics (An Assessment of an Inpatient Robotic Nurse Assistant: A Mixed-Method Study)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-New research on Robotics is the subjec t of a report. According to news reportingout of Singapore, Singapore, by NewsR x editors, research stated, "The worldwide nursing shortage hasled to the explo ration of using robotics to support care delivery and reduce nurses' workload. I n thisobservational, mixed-method study, we examined the implementation of a ro botic nurse assistant (RNA)in a hospital ward to support vital signs measuremen ts, medication, and item delivery."Financial support for this research came from National Robotics and Research Pro gramme Office.Our news journalists obtained a quote from the research from National University Health System,"Human-robot interaction was assessed in four domains: usability , social acceptance, user experience,and its societal impact. Patients in a gen eral medicine ward were recruited to participate in a one-timetrial with the RN A and a post-trial 75-question survey. Patients' interactions with the RNA were videorecorded for analysis including patients' behaviours, facial emotions, and visual attention. Focus groupdiscussions with nurses elicited their perception s of working with the RNA, areas for improvement, andscalability. Sixty-seven p atients aged 21-79 participated in the trial. Eight in 10 patients reported positive interactions with the RNA. When the RNA did not perform to expectations, on ly 25% of patientsattributed fault to the RNA. Video analysis sho wed patients at ease interacting with the RNA despitesome technical problems. N urses saw potential for the RNA taking over routine tasks. However, theywere sc eptical of real time savings and were concerned with the RNA's ability to work w ell with olderpatients. Patients and nurses suggested greater interactivity bet ween RNA and patients. Future studiesshould examine potential timesaving and wh ether time saved translated to nurses performing higher valueclinical tasks."

SingaporeSingaporeAsiaEmerging Tec hnologiesGeneticsHospitalsMachine LearningRoboticsRobots

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.31)