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Redefining supplier selection in healthcare sector: a novel framework for supplier classification.
J Health Organ Manag
January 2025
Amrita School of Business - Amritapuri Kollam Campus, Kollam, India.
Purpose: This paper aims to delve into the critical aspect of supplier selection in the healthcare sector, emphasizing the significance of strategic sourcing in enhancing operational efficiency and quality of services. The primary aim is to develop a comprehensive framework for supplier evaluation that aligns with the unique requirements of hospitals, ultimately improving procurement processes and patient care outcomes.
Design/methodology/approach: The study leverages the renowned Carter's 7 C model as a foundational framework for supplier assessment, supplemented by insights gathered from interviews with experts in the New Product Introduction, Purchasing and Procurement departments of a leading hospital in India.
Integrating Retinal Segmentation Metrics with Machine Learning for Predictions from Mouse SD-OCT Scans.
Curr Eye Res
January 2025
Department of Ophthalmology, Edward S. Harkness Eye Institute, Columbia University, Vagelos College of Physicians and Surgeons, New York, NY, USA.
Purpose: This study aimed to initially test whether machine learning approaches could categorically predict two simple biological features, mouse age and mouse species, using the retinal segmentation metrics.
Methods: The retinal layer thickness data obtained from C57BL/6 and DBA/2J mice were processed for machine learning after segmenting mouse retinal SD-OCT scans. Twenty-two models were trained to predict the mouse groups.
Using Classifiers To Predict Catalyst Design for Polyketone Microstructure.
J Am Chem Soc
January 2025
Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, California 90095, United States.
We applied a classifier method to predict palladium catalysts for the formation of nonalternating polyketones via the copolymerization of CO and ethylene; current examples are limited to using phosphine sulfonate and diphosphazane monoxide supporting ligands. With the reported workflow, we discovered two new classes of palladium complexes capable of achieving the synthesis of nonalternating polyketones with a lower CO content than those made by known palladium catalysts. Our results show that we doubled the number of classes of palladium compounds that can catalyze the formation of this type of polymer.
View Article and Find Full Text PDFCost-Utility Analysis of LifeVest® in Post-Myocardial Infarction Patients at Risk of Sudden Cardiac Death in England.
Pharmacoecon Open
January 2025
Optimax Access Ltd, Kenneth Dibben House, Enterprise Rd, Chilworth, Southampton University Science Park, Southampton, UK.
Background: Patients with a left ventricular ejection fraction ≤ 35% are at increased risk of sudden cardiac death (SCD) within the first months after a myocardial infarction (MI). The wearable cardioverter defibrillator (WCD) is an established, safe and effective solution which can protect patients from SCD during the first months after an MI, when the risk of SCD is at its peak. This study aimed to evaluate the cost-effectiveness of WCD combined with guideline-directed medical therapy (GDMT) compared to GDMT alone, after MI in the English National Health Service (NHS).
View Article and Find Full Text PDFEfficiency and safety comparison between 20,000 and 10,000 cuts per minute vitrectomy using a 27G cutter in rhegmatogenous retinal detachment: a prospective randomized controlled study.
Jpn J Ophthalmol
January 2025
Department of Ophthalmology, Eye center, China Medical University Hospital, Taichung City, Taiwan.
Purpose: To compare the efficac and safety of a dual-blade 20,000 cuts per minute (cpm) vitrectomy probe with a single-blade 10,000 cpm probe for primary rhegmatogenous retinal detachment (RRD).
Study Design: Prospective, randomized controlled clinical trial.
Methods: Evaluations were conducted preoperatively, intraoperatively, and at three months postoperatively.
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