Racism in healthcare: a scoping review
Background Racism constitutes a barrier towards achieving equitable healthcare as
documented in research showing unequal processes of delivering, accessing, and receiving …
documented in research showing unequal processes of delivering, accessing, and receiving …
Eliminating explicit and implicit biases in health care: evidence and research needs
Health care providers hold negative explicit and implicit biases against marginalized groups
of people such as racial and ethnic minoritized populations. These biases permeate the …
of people such as racial and ethnic minoritized populations. These biases permeate the …
Guidelines on the Use of therapeutic apheresis in clinical practice–Evidence‐Based approach from the Writing Committee of the American Society for Apheresis: The …
L Connelly‐Smith, CR Alquist, NA Aqui… - Journal of clinical …, 2023 - Wiley Online Library
Abstract The American Society for Apheresis (ASFA) Journal of Clinical Apheresis (JCA)
Special Issue Writing Committee is charged with reviewing, updating, and categorizing …
Special Issue Writing Committee is charged with reviewing, updating, and categorizing …
Negative Patient Descriptors: Documenting Racial Bias In The Electronic Health Record: Study examines racial bias in the patient descriptors used in the electronic …
M Sun, T Oliwa, ME Peek, EL Tung - Health Affairs, 2022 - healthaffairs.org
Little is known about how racism and bias may be communicated in the medical record. This
study used machine learning to analyze electronic health records (EHRs) from an urban …
study used machine learning to analyze electronic health records (EHRs) from an urban …
Racial and ethnic differences in bystander CPR for witnessed cardiac arrest
RA Garcia, JA Spertus, S Girotra… - … England Journal of …, 2022 - Mass Medical Soc
Background Differences in the incidence of cardiopulmonary resuscitation (CPR) provided
by bystanders contribute to survival disparities among persons with out-of-hospital cardiac …
by bystanders contribute to survival disparities among persons with out-of-hospital cardiac …
The disproportionate impact of COVID-19 on racial and ethnic minorities in the United States
Abstract The coronavirus disease 2019 (COVID-19) pandemic has disproportionately
affected racial and ethnic minority groups, with high rates of death in African American …
affected racial and ethnic minority groups, with high rates of death in African American …
BiLSTM deep neural network model for imbalanced medical data of IoT systems
M Woźniak, M Wieczorek, J Siłka - Future Generation Computer Systems, 2023 - Elsevier
Health informatics is one of the most developed field in recent time. Computational
Intelligence is among the most influential factors that may help to improve patient oriented …
Intelligence is among the most influential factors that may help to improve patient oriented …
Effective strategies in ending weight stigma in healthcare
B Talumaa, A Brown, RL Batterham… - Obesity …, 2022 - Wiley Online Library
Weight stigma impacts negatively healthcare quality and hinders public health goals. The
aim of this review was to identify strategies for minimizing weight bias among healthcare …
aim of this review was to identify strategies for minimizing weight bias among healthcare …
Disparities in outcomes among COVID-19 patients in a large health care system in California: Study estimates the COVID-19 infection fatality rate at the US county …
As the novel coronavirus disease (COVID-19) pandemic spreads throughout the United
States, evidence is mounting that racial and ethnic minorities and socioeconomically …
States, evidence is mounting that racial and ethnic minorities and socioeconomically …
[HTML][HTML] Artificial intelligence, machine learning and deep learning: Potential resources for the infection clinician
AA Theodosiou, RC Read - Journal of Infection, 2023 - Elsevier
Background Artificial intelligence (AI), machine learning and deep learning (including
generative AI) are increasingly being investigated in the context of research and …
generative AI) are increasingly being investigated in the context of research and …