Determining the feasibility of robotic courier medication delivery in a hospital setting

Kirschling, Thomas E.; Rough, Steve; Ludwig, Brad

doi:10.2146/ajhp080184

Cited by 19 publications

(10 citation statements)

References 6 publications

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“…Among the robotic tools that support the clinical staff in hospital environments for assistive applications, the following examples are found: Techi Buter (Techmetics Robotics, Santa Clara, USA), MiR100 (Mobile Industrial Robots, Odense, Denmark), TUG robot (Aethon, Pittsburgh, USA), RB-1 (Robotnik, Valencia, Spain), and Robotino (Festo, Esslingen am Neckar, Germany). Moreover, several studies have reported the use of these robots for logistic tasks, such as medication and food delivery (Kirschling et al, 2009 ; Takahashi et al, 2010 , 2012 ; Bloss, 2011 ; Sermeus et al, 2016 ), patients transportation (Hu et al, 2011 ), medical equipment transportation (Wang et al, 2009 ; Ilias et al, 2014 ), environmental monitoring (Cremer et al, 2016 ; Mahdy et al, 2018 ), among others.…”

Section: Robotics For Covid-19 Pandemicmentioning

confidence: 99%

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

et al. 2021

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Several challenges to guarantee medical care have been exposed during the current COVID-19 pandemic. Although the literature has shown some robotics applications to overcome the potential hazards and risks in hospital environments, the implementation of those developments is limited, and few studies measure the perception and the acceptance of clinicians. This work presents the design and implementation of several perception questionnaires to assess healthcare provider's level of acceptance and education toward robotics for COVID-19 control in clinic scenarios. Specifically, 41 healthcare professionals satisfactorily accomplished the surveys, exhibiting a low level of knowledge about robotics applications in this scenario. Likewise, the surveys revealed that the fear of being replaced by robots remains in the medical community. In the Colombian context, 82.9% of participants indicated a positive perception concerning the development and implementation of robotics in clinic environments. Finally, in general terms, the participants exhibited a positive attitude toward using robots and recommended them to be used in the current panorama.

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Section: Robotics For Covid-19 Pandemicmentioning

confidence: 99%

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

et al. 2021

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“…We focus on service robots with higher autonomy than tele-operated remote devices and that do not require a controlled environment or fixed installation in hospitals to deliver intangible, automated, or personalized services to humans; for instance, a logistics robot that can navigate autonomously in uncontrolled environments (e.g. crowded hallways or areas with many obstacles) to deliver meal trays, sterile supplies, blood samples, mail, and so on (Deery, 1997;Kirschling et al, 2009), or a care support robot that enables immobilized patients to retrieve objects from boxes and shelves or can lift them from their bed (Nejat et al, 2009). …”

Section: Definition and Scope Of Service Robotics In Healthcarementioning

confidence: 99%

Service robots in hospitals: new perspectives on niche evolution and technology affordances

Mettler

Sprenger

Winter

2017

European Journal of Information Systems

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Changing demands in society and the limited capabilities of health systems have paved the way for robots to move out of industrial contexts and enter more human-centered environments such as healthcare. We explore the shared beliefs and concerns of health workers on the introduction of autonomously operating service robots in hospitals or professional care facilities. By means of Qmethodology, a mixed research approach specifically designed for studying subjective thought patterns, we identify five potential end-user niches, each of which perceive different affordances and outcomes from using service robots in their working environment. Our findings allows for better understanding resistance and susceptibility of different users in a hospital and encourages managerial awareness of varying demands, needs, and surrounding conditions a service robot must contend with. We also discuss general insights into presenting the Q-methodology results and how an affordance-based view could inform the adoption, appropriation, and adaptation of emerging technologies.

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“…This applies both to the perspective of patients and older people, as well as to that of informal and professional caregivers. If the technical systems interfere with the social dynamics of a group or require additional effort, this can affect acceptance and lead to negative behaviour [11][12][13].…”

Section: Implementation Of Robotic Systems In Nursing Practicementioning

confidence: 99%

“…Kirschling et al [12] described spatial requirements, such as keeping corridors clear of obstacles, as a challenge when implementing robotic assistance systems in an acute inpatient setting. Before the technical systems can be used on the pilot station, the internal clinical requirements, e.g., fire protection, work safety and hygiene, must be met.…”

Section: Implementation Challengesmentioning

confidence: 99%

Study protocol for the implementation and evaluation of a digital-robotic-based intervention for nurses and patients in a hospital: a quantitative and qualitative triangulation based on the Medical Research Council (MRC) framework for developing and evaluating complex interventions

et al. 2022

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Background Nurses spend part of their working time on non-nursing tasks. Unnecessary walking distances and the assumption of service activities and other non-care-related tasks take up a lot of space, which reduces the time for direct patient care and demonstrably increases the dissatisfaction of the persons involved. The REsPonSe project aims to relieve nursing staff by using a smartphone app for communication in combination with an autonomous service robot to reduce walking distances and service activities. The technical systems are tested on a nuclear medicine ward and are intended to reduce the radiation exposure of the staff. The aim of this study is to test and evaluate the use and intervention of the technical systems, the acceptance of the users and the change in the utilisation of the nursing service. In addition to findings on usability and manageability, effects on nursing practice, as well as facilitating and inhibiting contextual factors for implementation, will be identified. Methods The Medical Research Council (MRC) Framework for Developing and Evaluating for Complex Interventions was chosen as the theoretical basis. The data collection in the Feasibility and Evaluation phase is a triangulation of quantitative and qualitative methods. Standardised observations are planned to collect data on non-care activities and walking distances, and a survey of utilisation by use of a questionnaire based on the NASA TLX. Qualitative individual interviews with patients and group discussions with nursing staff will be conducted. Statements on the subjective experiences, as well as the evaluation of the use of the digital-robotic system in the clinical setting, will be collected. The descriptive evaluation of the usage and retrieval data will provide information on duration, time, requests, and reduced contact times, as well as error and fault messages. Discussion The evaluation study will make it possible to represent a variety of perspectives from different interest groups. The results should contribute to the definition of implementation and evaluation criteria and facilitate the integration of digital-robotic assistance systems in nursing acute inpatient settings. Trial registration The trial was registered with the German Clinical Trials Register (DRKS) on 16.02.2022: DRKS00028127.

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Determining the feasibility of robotic courier medication delivery in a hospital setting

Abstract: A robotic courier medication delivery system was implemented but was not expanded beyond the two pilot units. Challenges of implementation included ongoing education on how to properly move the robotic courier and keeping the hallway clear of obstacles.

Cited by 19 publications

References 6 publications

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

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

Service robots in hospitals: new perspectives on niche evolution and technology affordances

Study protocol for the implementation and evaluation of a digital-robotic-based intervention for nurses and patients in a hospital: a quantitative and qualitative triangulation based on the Medical Research Council (MRC) framework for developing and evaluating complex interventions

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