Integration and standardization of laboratories throughout a medical system can increase the efficiency and effectiveness of laboratory operations. This task is challenging in most health-care systems, as no central governance exists to compel laboratories to standardize and integrate. We describe the initial collaborative efforts to integrate and standardize the laboratories of the Mayo Foundation, which includes more than 60 laboratories of different sizes in diverse locations. The goals and objectives of the group formed to develop this initiative--the Centralized Laboratory Purchasing Group--its origin, and lessons learned are described. Similar initiatives by other academic medical centers and community health-care systems to integrate and standardize their laboratories are discussed. Successful standardization and integration increases the value of the laboratory to the larger health-care system by demonstrating accountability, efficiency, and effectiveness, and can result in considerable cost savings to the entire health-care system.
Download full-text PDF |
Source |
---|
Alzheimers Dement
December 2024
Université de Moncton, Moncton, NB, Canada.
Background: Integrating technology in the cognitive assessment process could help with dementia care and management (Astell et al., 2019). The aim of this research was to assess the sensitivity and specificity, as well as establish regression-based norms, for the digital version of the Neurocognitive Frailty Index (NFI, Pakzad et al.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Music and Health Science Research Collaboratory, University of Toronto, ON, Canada.
Background: The dual-cyclical relationship between language and cognition, encapsulated in linguistic relativity, underscores the reciprocal influence of thoughts on communication and vice-versa. This study explores the intricate changes in pragmatics, a fundamental aspect of human communication, during the aging process, considering changes in sensory abilities, cognition, and language.
Method: Sixty participants, aged ≥50 years with a minimum of five years of formal education, were included, excluding those with neurological or psychological illnesses.
Alzheimers Dement
December 2024
Neurology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.
Background: Integrating blood biomarker testing for Alzheimer's Disease (AD) into clinical practice has the potential to transform AD care by enabling broadly accessible and accurate diagnosis, more precise prognostication, and timely initiation of disease-modifying therapy. While there are several scientific challenges to implementing blood biomarkers (e.g.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center at San Antonio, San Antonio, TX, USA.
Background: In recent years, brain banks have become a valuable resource for examining the molecular underpinnings of various neurological and psychological disorders such as Alzheimer's disease and Parkinson's disease; however, the availability of brain tissue has significantly declined. Proper collection, preparation, and preservation of post-mortem autopsy tissue are essential for optimal downstream brain tissue distribution and experimentation. Collaborations between brain banks through larger networks such as NeuroBioBank with centralized sample request mechanisms promote tissue distribution where brain donations are disproportionately lower.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Infovital, Envigado, Colombia.
Background: Currently, the diagnosis of Alzheimer's disease dementia (ADD) is determined based on clinical criteria, as well as specific imaging and cerebrospinal fluid (CSF) biomarker profiles. However, healthcare professionals face a variety of challenges that hinder their application, such as the interpretation and integration or large amounts of data derived from neuropsychological assessment, the importance attributed to each source of information and the impact of unknown variables, among others. Therefore, this research focuses on the development of a computerized diagnostic tool based on Artificial Intelligence (AI), to strengthen the capacity of healthcare professionals in the identification and diagnosis of ADD.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!