Results 171 to 180 of about 178,986 (267)

Correction: Understanding and mitigating medication errors associated with patient harm in adult intensive care units: a scoping review. [PDF]

Intensive Care Med
Puxty K, van Mol M, Martin Delgado MC, Darmon M, Ferrer R, Galazzi A, Kondi E, Russell L, Sancho E, Ostermann M, Azoulay E, Bourne RS.   +11 more
europepmc   +1 more source

The Most Frequent Errors and Error Causes in Intravenous Medication Administration

Katja Klepac, Magdalena Turniški, Martina Smrekar, Sanja Ledinski, Snježana Čukljek   +4 more
openalex   +1 more source

ISMP Medication Error Report Analysis - Leucovorin-Levoleucovorin Mix-Up; Two Error-Reduction Principles, One Change; Syringe Pull-Back Method of Verifying IV Admixtures is Unreliable; Fleet Enema Saline is not Just Saline; ISMP Processes Health it Error Reports

, 2013
Michael R. Cohen, Judy L. Smetzer
openalex   +2 more sources

ICU‐EEG Pattern Detection by a Convolutional Neural Network

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring due to the high risk of seizures and rhythmic and periodic patterns (RPPs). However, interpreting cEEG in real time is resource‐intensive and heavily relies on specialized expertise, which is not always available.
Giulio Degano, Hervé Quintard, Andreas Kleinschmidt, Nikita Francini, Oana E. Sarbu, Pia De Stefano   +5 more
wiley   +1 more source

Paediatric Emergency Nurses' Perception of Medication Errors: A Qualitative Study. [PDF]

Nurs Rep
Collado-González B, Fernández-López I, Urtubia-Herrera V, Palmar-Santos AM, García-Perea E, Navarta-Sánchez MV.   +5 more
europepmc   +1 more source

Why is measuring the effects of information technology on medication errors so difficult? [PDF]

, 2019
Johanna Westbrook, Valentina Lichtner
openalex   +1 more source

Functional Connectivity Associations With Markers of Disease Progression in GRN Pathogenic Variant Carriers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autosomal dominant progranulin (GRN) pathogenic variants are a genetic cause of frontotemporal lobar degeneration. Though clinical trials for GRN‐related therapies are underway, there is an unmet need for biomarkers that can predict symptom onset and track disease progression.
Taru M. Flagan, Stephanie A. Chu, Suvi Häkkinen, Liwen Zhang, David McFall, Jonathan D. Rohrer, Jesse A. Brown, Alex J. Lee, Kristen Fernhoff, Lorenzo Pasquini, Katherine P. Rankin, Maria Luisa Mandelli, Maria Luisa Gorno‐Tempini, Jennifer S. Yokoyama, Virginia E. Sturm, Brian Appleby, Bradford C. Dickerson, Kimiko Domoto‐Reilly, Tatiana Foroud, Daniel H. Geschwind, Nupur Ghoshal, Neill R. Graff‐Radford, Ging‐Yuek Robin Hsiung, Eric J. Huang, Edward Huey, Kejal Kantarci, Irene Litvan, Ian R. Mackenzie, Mario F. Mendez, Chiadi U. Onyike, Leonard Petrucelli, Eliana Marisa Ramos, Erik D. Roberson, Julio C. Rojas, Maria Carmela Tartaglia, Arthur W. Toga, Sandra Weintraub, Leah K. Forsberg, Hilary W. Heuer, Brad F. Boeve, Adam L. Boxer, Howard J. Rosen, Bruce L. Miller, Fermin Moreno, William W. Seeley, Suzee E. Lee, on behalf of the ALLFTD Consortium   +46 more
wiley   +1 more source

481 Can a Gentamicin Specific Chart Reduce Neonatal Medication Errors? [PDF]

, 2010
Christopher Flannigan, Sarah J. Kilpatrick, Jean Redpath, M Hogan   +3 more
openalex   +1 more source

Genetic Modifiers of Parkinson's Disease: A Case–Control Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the associations of LRRK2 p.G2019S, GBA1 p.N409S, polygenic risk scores (PRS), and APOE E4 on PD penetrance, risk, and symptoms. Methods We conducted a US‐based observational case–control study using data from the 23andMe Inc. and Fox Insight Genetic Substudy (FIGS) databases.
Matthew J. Kmiecik, Michael V. Holmes, Pierre Fontanillas, Giulietta M. Riboldi, Ruth B. Schneider, Jingchunzi Shi, Anna Guan, Susana Tat, Steven Micheletti, Keaton Stagaman, Josh Gottesman, David A. Hinds, Joyce Y. Tung, 23andMe Research Team, Stella Aslibekyan, Lucy Norcliffe‐Kaufmann   +15 more
wiley   +1 more source

Detecting clinical medication errors with AI enabled wearable cameras. [PDF]

NPJ Digit Med
Chan J, Nsumba S, Wortsman M, Dave A, Schmidt L, Gollakota S, Michaelsen K.   +6 more
europepmc   +1 more source