Unlike other developed countries, the US healthcare system is largely privatized and highly competitive. This dynamic stifles effective information sharing, while the need for prompt and accurate evidence-based decision making has become crucial. Crises, like the COVID-19 pandemic, elevate the importance of quality decision making and exacerbate issues associated with the lack of a cohesive system to share information. Competitive intelligence (CI) is a discipline that encourages gathering, analyzing, and sharing information throughout a firm in order to develop and sustain competitive advantage. CI could be considered a precursor in establishing a learning organization (LO). Although CI research has focused on its process and value, little is found in the literature on how to integrate CI into an organization; this is particularly true in healthcare. A conceptual model is proposed to build and integrate a CI function and culture within a healthcare organization to encourage effective information sharing and knowledge development. In turn, this can provide a mechanism to create a learning health system (LHS). Although the model was developed specifically for US healthcare, it offers application to healthcare in other countries as well as most any industry.
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http://dx.doi.org/10.1177/09514848211065470 | DOI Listing |
Pharmaceuticals (Basel)
January 2025
Research Center of Transport Protein for Medical Innovation, Department of Physiology, Faculty of Science, Mahidol University, Ratchathewi, Bangkok 10400, Thailand.
: Pinocembrin is a promising drug candidate for treating ischemic stroke. The interaction of pinocembrin with drug transporters and drug-metabolizing enzymes is not fully revealed. The present study aims to evaluate the interaction potential of pinocembrin with cytochrome P450 (CYP450: CYP2B6, CYP2C9, and CYP2C19) and drug transporters including organic anion transporters (OAT1 and OAT3), organic cation transporters (OCT1 and OCT2), multidrug and toxin extrusion (MATE1 and MATE2, P-glycoprotein (P-gp), and breast cancer resistance protein (BCRP).
View Article and Find Full Text PDFMaterials (Basel)
January 2025
School of Materials Science and Engineering, Henan University of Science and Technology, Luoyang 471023, China.
In response to the intensifying competition in the mold market and the increasingly stringent specifications of die forgings, the existing 55NiCrMoV7 (MES 1 steel) material can no longer meet the elevated demands of customers. Consequently, this study systematically optimizes the alloy composition of MES 1 steel by precisely adjusting the molybdenum (Mo) and vanadium (V) contents. The primary objective is to significantly enhance the microstructure and thermal-mechanical fatigue performance of the steel, thereby developing a high-performance, long-life hot working die steel designated as MES 2 steel.
View Article and Find Full Text PDFMaterials (Basel)
January 2025
Centre for Advanced Manufacturing Technologies (CAMT/FPC), Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Łukasiewicza 5 St., 50-370 Wroclaw, Poland.
In the era of Industry 4.0, additive manufacturing (AM) technology plays a crucial role in optimizing production processes, especially for small- and medium-sized enterprises (SMEs) striving to enhance competitiveness. Selecting the appropriate material for AM is a complex process that requires considering numerous technical, economic, and environmental criteria.
View Article and Find Full Text PDFMicromachines (Basel)
December 2024
GREMAN UMR 7347 CNRS, Université de Tours, INSA Centre Val de Loire, 3 Rue de la Chocolaterie, 41000 Blois, France.
Multilayer piezoelectric stacks, which are multiple layers of piezoelectric materials placed on top of each other, are widely used to achieve precise linear movement and high-force generation. In this paper, a dynamic stiffness (DS) method for the dynamic vibration analysis of multilayer piezoelectric stacks is presented. First, the general solutions for all physical quantities of the three vibration contributions (i.
View Article and Find Full Text PDFAnimals (Basel)
January 2025
School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China.
Conflicts between humans and animals in agricultural and settlement areas have recently increased, resulting in significant resource loss and risks to human and animal lives. This growing issue presents a global challenge. This paper addresses the detection and identification of offending animals, particularly in obscured or blurry nighttime images.
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