Journal ArticleJ Am Med Inform Assoc · February 16, 2024
OBJECTIVE: The complexity and rapid pace of development of algorithmic technologies pose challenges for their regulation and oversight in healthcare settings. We sought to improve our institution's approach to evaluation and governance of algorithmic techn ...
Full textLink to itemCite
ConferenceCirculation · November 7, 2023
Background:
Literature supports improved patient outcomes with dedicated resources for rapid response to patient deterioration in inpatient settings. However, studies of the association of centralized ...
Full textCite
Journal ArticleCirc Heart Fail · February 2023
BACKGROUND: Guideline-directed medical therapy (GDMT) for heart failure with reduced ejection fraction (HFrEF) improves clinical outcomes and quality of life. Optimizing GDMT in the hospital is associated with greater long-term use in HFrEF. This study aim ...
Full textLink to itemCite
Journal ArticleClin Infect Dis · August 31, 2022
BACKGROUND: The impact of the US Centers for Medicare & Medicaid Services (CMS) Severe Sepsis and Septic Shock: Management Bundle (SEP-1) core measure on overall antibacterial utilization is unknown. METHODS: We performed a retrospective multicenter longit ...
Full textLink to itemCite
Journal ArticleJ Am Med Inform Assoc · August 16, 2022
Artificial intelligence/machine learning models are being rapidly developed and used in clinical practice. However, many models are deployed without a clear understanding of clinical or operational impact and frequently lack monitoring plans that can detec ...
Full textOpen AccessLink to itemCite
Journal ArticleACI Open · January 2022
Abstract
Objective Several risk scores have been developed and tested on coronavirus disease 2019 (COVID-19) patients to predict clinical decompensation. We aimed to compare an institutional, automated, custom-bui ...
Full textOpen AccessCite
Journal ArticleJ Am Coll Cardiol · November 16, 2021
Sodium-glucose cotransporter-2 inhibitor therapy is well suited for initiation during the heart failure hospitalization, owing to clinical benefits that accrue rapidly within days to weeks, a strong safety and tolerability profile, minimal to no effects on ...
Full textLink to itemCite
Journal ArticleJ Healthc Qual · November 2021
This retrospective, cross-sectional study of U.S. hospitals in Medicare's Inpatient Quality Reporting Program aimed to determine whether variation in Sepsis/Septic Shock (Bundle SEP-1) compliance is linked to hospital size and measures of safety and operat ...
Full textLink to itemCite
Journal ArticleJ Med Internet Res · November 19, 2020
BACKGROUND: Machine learning models have the potential to improve diagnostic accuracy and management of acute conditions. Despite growing efforts to evaluate and validate such models, little is known about how to best translate and implement these products ...
Full textLink to itemCite
Journal ArticleJMIR Med Inform · July 15, 2020
BACKGROUND: Successful integrations of machine learning into routine clinical care are exceedingly rare, and barriers to its adoption are poorly characterized in the literature. OBJECTIVE: This study aims to report a quality improvement effort to integrate ...
Full textLink to itemCite
Journal Article · July 10, 2020
BACKGROUNDMachine learning models have the potential to improve diagnostic accuracy and management of acute conditions. Despite growing efforts to evaluate and validate such models, littl ...
Full textCite
Journal ArticleJAMIA Open · July 2020
OBJECTIVE: Determine if deep learning detects sepsis earlier and more accurately than other models. To evaluate model performance using implementation-oriented metrics that simulate clinical practice. MATERIALS AND METHODS: We trained internally and tempor ...
Full textOpen AccessLink to itemCite
ConferenceFat 2020 Proceedings of the 2020 Conference on Fairness Accountability and Transparency · January 27, 2020
Machine learning technologies are increasingly developed for use in healthcare. While research communities have focused on creating state-of-the-art models, there has been less focus on real world implementation and the associated challenges to fairness, t ...
Full textCite
Journal ArticleJAMA Netw Open · February 1, 2019
IMPORTANCE: Sepsis is present in many hospitalizations that culminate in death. The contribution of sepsis to these deaths, and the extent to which they are preventable, is unknown. OBJECTIVE: To estimate the prevalence, underlying causes, and preventabili ...
Full textLink to itemCite
Journal ArticleCrit Care Med · January 2019
OBJECTIVES: Previous studies have looked at National Early Warning Score performance in predicting in-hospital deterioration and death, but data are lacking with respect to patient outcomes following implementation of National Early Warning Score. We sough ...
Full textLink to itemCite
Journal ArticleCrit Care Med · October 2018
OBJECTIVES: Many septic patients receive care that fails the Centers for Medicare and Medicaid Services' SEP-1 measure, but it is unclear whether this reflects meaningful lapses in care, differences in clinical characteristics, or excessive rigidity of the ...
Full textLink to itemCite
Journal ArticleInfect Control Hosp Epidemiol · August 2018
We compared sepsis "time zero" and Centers for Medicare and Medicaid Services (CMS) SEP-1 pass rates among 3 abstractors in 3 hospitals. Abstractors agreed on time zero in 29 of 80 (36%) cases. Perceived pass rates ranged from 9 of 80 cases (11%) to 19 of ...
Full textLink to itemCite
Journal ArticleJAMA · February 9, 2005
CONTEXT: Recent trials have found that ximelagatran and warfarin are equally effective in stroke prevention for patients with atrial fibrillation. Because ximelagatran can be taken in a fixed, oral dose without international normalized ratio monitoring and ...
Full textLink to itemCite
Journal ArticleJ Comp Neurol · February 17, 2003
Neuritic plaques are one of the stereotypical hallmarks of Alzheimer's disease (AD) pathology. These structures are composed of extracellular accumulations of fibrillar forms of the amyloid-beta peptide (Abeta), a variety of other plaque-associated protein ...
Full textLink to itemCite