Anesthesiologists' role in value-based perioperative care and healthcare transformation
A Mahajan, SA Esper, DJ Cole, LA Fleisher - Anesthesiology, 2021 - pubs.asahq.org
Health care is undergoing major transformation with a shift from fee-for-service care to fee-
for-value. The advent of new care delivery and payment models is serving as a driver for …
for-value. The advent of new care delivery and payment models is serving as a driver for …
Impact of enhanced recovery after surgery and opioid-free anesthesia on opioid prescriptions at discharge from the hospital: a historical-prospective study
BACKGROUND: The United States is in the midst of an opioid epidemic, and opioid use
disorder often begins with a prescription for acute pain. The perioperative period represents …
disorder often begins with a prescription for acute pain. The perioperative period represents …
Development and validation of a deep neural network model for prediction of postoperative in-hospital mortality
Abstract Editor's Perspective What We Already Know about This Topic Robust predictions
are required to compare perioperative mortality among hospitals Deep neural network …
are required to compare perioperative mortality among hospitals Deep neural network …
Development, implementation, and evaluation of a telemedicine preoperative evaluation initiative at a major academic medical center
BACKGROUND: With health care practice consolidation, the increasing geographic scope of
health care systems, and the advancement of mobile telecommunications, there is …
health care systems, and the advancement of mobile telecommunications, there is …
Anesthesia information management systems
Anesthesia information management systems (AIMS) have evolved from simple, automated
intraoperative record keepers in a select few institutions to widely adopted, sophisticated …
intraoperative record keepers in a select few institutions to widely adopted, sophisticated …
An automated machine learning-based model predicts postoperative mortality using readily-extractable preoperative electronic health record data
Background Rapid, preoperative identification of patients with the highest risk for medical
complications is necessary to ensure that limited infrastructure and human resources are …
complications is necessary to ensure that limited infrastructure and human resources are …
Methylation risk scores are associated with a collection of phenotypes within electronic health record systems
Inference of clinical phenotypes is a fundamental task in precision medicine, and has
therefore been heavily investigated in recent years in the context of electronic health records …
therefore been heavily investigated in recent years in the context of electronic health records …
TOAST: improving reference-free cell composition estimation by cross-cell type differential analysis
In the analysis of high-throughput data from complex samples, cell composition is an
important factor that needs to be accounted for. Except for a limited number of tissues with …
important factor that needs to be accounted for. Except for a limited number of tissues with …
Development and validation of a deep neural network model to predict postoperative mortality, acute kidney injury, and reintubation using a single feature set
During the perioperative period patients often suffer complications, including acute kidney
injury (AKI), reintubation, and mortality. In order to effectively prevent these complications …
injury (AKI), reintubation, and mortality. In order to effectively prevent these complications …
Development and validation of an interpretable neural network for prediction of postoperative in-hospital mortality
While deep neural networks (DNNs) and other machine learning models often have higher
accuracy than simpler models like logistic regression (LR), they are often considered to be …
accuracy than simpler models like logistic regression (LR), they are often considered to be …