Purpose: The development of recommendations for advancing automated i.v. medication compounding is described.
Summary: Managing the shift from manual to robotic compounding of i.v. therapies requires an awareness of how automation affects practice and how to best implement robotics into current practice. An international panel of pharmacy professionals, researchers, and technology leaders with experience in i.v. robotics collaborated during a two-day meeting in August 2014 to define a general set of principles to broaden the understanding of the fundamental elements of robotic compounding worldwide. Participants were divided into four working groups (technology and safety; drugs and products; personnel; and facilities and quality) to analyze specific aspects of robotic compounding practice. The four working groups produced an initial list of 92 statements. This list was condensed to 35 statements by consolidating similar and overlapping statements from the different work groups. Participants were surveyed again to assess agreement with the 35 statements and solicit additional clarification. Respondents expressed full agreement with 25 recommendations. Six statements received one or more "don't know" responses, with all other respondents in agreement. Four statements had a combination of "don't know" and "disagree" responses. A total of 32 comments were recorded in free-text fields, including requests for clarification and suggestions for rewording the statements.
Conclusion: An international panel of pharmacy professionals, researchers, and technology leaders with experience in i.v. robotics developed a set of 35 recommendations toward a better understanding of the role of automated i.v. compounding in hospital and health-system pharmacies worldwide.
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http://dx.doi.org/10.2146/ajhp151027 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Applied Mathematics Laboratory, Courant Institute of Mathematical Sciences, Department of Mathematics, New York University, New York, NY 10012.
Mechanical systems with moving points of contact-including rolling, sliding, and impacts-are common in engineering applications and everyday experiences. The challenges in analyzing such systems are compounded when an object dynamically explores the complex surface shape of a moving structure, as arises in familiar but poorly understood contexts such as hula hooping. We study this activity as a unique form of mechanical levitation against gravity and identify the conditions required for the stable suspension of an object rolling around a gyrating body.
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November 2024
Imperial College Healthcare NHS Trust, London, United Kingdom.
The integration of artificial intelligence (AI) into orthopaedic care has gained considerable interest in recent years, evidenced by the growing body of literature boasting wide-ranging applications across the perioperative setting. This includes automated diagnostic imaging, clinical decision-making tools, optimisation of implant design, robotic surgery, and remote patient monitoring. Collectively, these advances propose to enhance patient care and improve system efficiency.
View Article and Find Full Text PDFJ Pharm Technol
December 2024
College of Pharmacy, Union University, Jackson, TN, USA.
The ever-increasing complexity and demand for antineoplastic therapy necessitates innovative solutions to improve the accuracy and safety of drug preparation. To evaluate the utilization of an advanced robotic chemotherapy drug compounding system (APOTECAchemo) at a Community Cancer Center (CCC), examining accuracy, efficiency, and staff perceptions. This single-center, retrospective study evaluated the preparation of 7 intravenous (IV) antineoplastics at a CCC over a 1-year period.
View Article and Find Full Text PDFRestaurants are swiftly embracing automation to prepare food, experimenting with innovations from robotic arms for frying foods to pizza-making robots. While these advances promise to enhance efficiency and productivity, their impact on consumer psychology remains largely unexplored. We present four experiments that demonstrate how food service automation leads to negative downstream effects (i.
View Article and Find Full Text PDFISA Trans
December 2024
School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, PR China. Electronic address:
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