AIMC Topic: Medication Systems, Hospital
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AllergyMap: An Open Source Corpus of Allergy Mention Normalizations.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Allergy mention normalization is challenging because of the wide range of possible allergens including medications, foods, plants, animals, and consumer products. This paper describes the process of mapping free-text allergy information from an elect...
Factors influencing acceptance of robotics in hospital pharmacy: a longitudinal study using the Extended Technology Acceptance Model.
The International journal of pharmacy practice
May 19, 2020
OBJECTIVES: To explore factors influencing hospital pharmacy staff acceptance of a pharmacy robotic dispensing system during implementation and over time.
A drug identification model developed using deep learning technologies: experience of a medical center in Taiwan.
BMC health services research
Apr 15, 2020
BACKGROUND: Issuing of correct prescriptions is a foundation of patient safety. Medication errors represent one of the most important problems in health care, with 'look-alike and sound-alike' (LASA) being the lead error. Existing solutions to preven...
An Ambient Intelligence Framework for End-User Service Provisioning in a Hospital Pharmacy: a Case Study.
Journal of medical systems
Aug 19, 2015
End-user development is a new trend to provide tailored services to dynamic environments such as hospitals. These services not only facilitate daily work for pharmacy personnel but also improve self-care in elder people that are still related to hosp...
Evaluating the impact of an automated drug retrieval cabinet and robotic dispensing system in a large hospital central pharmacy.
American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
Dec 16, 2024
PURPOSE: To determine the impact of implementing 2 technologies in succession, the Carousel system and XR2 robot, in a hospital central pharmacy. The study examined the technologies' impact on workload shifted from fully human-involved, labor-intensi...
Reducing drug prescription errors and adverse drug events by application of a probabilistic, machine-learning based clinical decision support system in an inpatient setting.
Journal of the American Medical Informatics Association : JAMIA
Dec 1, 2019
BACKGROUND: Drug prescription errors are made, worldwide, on a daily basis, resulting in a high burden of morbidity and mortality. Existing rule-based systems for prevention of such errors are unsuccessful and associated with substantial burden of fa...
A centralized automated-dispensing system in a French teaching hospital: return on investment and quality improvement.
International journal for quality in health care : journal of the International Society for Quality in Health Care
Apr 1, 2019
OBJECTIVES: To evaluate the return on investment (ROI) and quality improvement after implementation of a centralized automated-dispensing system after 8 years of use.
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