Zobrazeno 1 - 10
of 63
pro vyhledávání: '"S A, Spooner"'
Autor:
Robert Siegel, Philip Khoury, S. Andrew Spooner, Kristin Stackpole, Nichole Allen, Shelley Kirk, Roohi Kharofa
Publikováno v:
Childhood Obesity.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a03f922961a1b9a049af41a0be7586f
https://doi.org/10.1089/chi.2022.0037
https://doi.org/10.1089/chi.2022.0037
Autor:
Danny T Y, Wu, P J, Van Camp, Abraham, Kim, Milan, Parikh, Lei, Liu, Monifa, Mahdi, Yizhao, Ni, S Andrew, Spooner
Publikováno v:
Studies in health technology and informatics. 290
Weight entry errors can cause significant patient harm in pediatrics due to pervasive weight-based dosing practices. While computerized algorithms can assist in error detection, they have not achieved high sensitivity and specificity to be further de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f8a470c43d9da2cbc64e575b13591f0c
https://pubmed.ncbi.nlm.nih.gov/35673069
https://pubmed.ncbi.nlm.nih.gov/35673069
Autor:
Danny T.Y. Wu, P.J. Van Camp, Abraham Kim, Milan Parikh, Lei Liu, Monifa Mahdi, Yizhao Ni, S. Andrew Spooner
Weight entry errors can cause significant patient harm in pediatrics due to pervasive weight-based dosing practices. While computerized algorithms can assist in error detection, they have not achieved high sensitivity and specificity to be further de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::425a32dd0f568b97a2920daa9b1e451d
https://doi.org/10.3233/shti220130
https://doi.org/10.3233/shti220130
Publikováno v:
AMIA Annu Symp Proc
Inaccurate body weight measures can cause critical safety events in clinical settings as well as hindering utilization of clinical data for retrospective research. This study focused on developing a machine learning-based automated weight abnormality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::dde3ac7614bc1c1de85651476b3d4c56
https://pubmed.ncbi.nlm.nih.gov/35308946
https://pubmed.ncbi.nlm.nih.gov/35308946
Autor:
Emrah Gecili, Thomas Minich, P. J. Van Camp, S. Andrew Spooner, Judith W. Dexheimer, Eric S. Kirkendall, Philip A. Hagedorn, Michal Kouril
Publikováno v:
Pediatric Emergency Care. 36:e417-e422
Frequently overridden alerts in the electronic health record can highlight alerts that may need revision. This method is a way of fine-tuning clinical decision support. We evaluated the feasibility of a complementary, yet different method that direct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac1c09d7aa42e905939fdaec3970f9ba
https://doi.org/10.1097/pec.0000000000001847
https://doi.org/10.1097/pec.0000000000001847
Publikováno v:
Studies in health technology and informatics. 264
Patient weights can be entered incorrectly into electronic health record (EHR) systems. These weight errors can cause significant patient harm especially in pediatrics where weight-based dosing is pervasively used. Determining weight errors through m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::d7c6612ef877ce26bc14ecd3e9edc7df
https://pubmed.ncbi.nlm.nih.gov/31438045
https://pubmed.ncbi.nlm.nih.gov/31438045
Publikováno v:
Appl Clin Inform
Objective This study attempts to characterize the inpatient communication network within a quaternary pediatric academic medical center by applying network analysis methods to secure text-messaging data. Methods We used network graphing and statistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fada58463d304ddc92203ab0f1f16fce
https://pubmed.ncbi.nlm.nih.gov/31242514
https://pubmed.ncbi.nlm.nih.gov/31242514
A Comparison of Existing Methods to Detect Weight Data Errors in a Pediatric Academic Medical Center
Autor:
Danny T Y, Wu, Karthikeyan, Meganathan, Matthew, Newcomb, Yizhao, Ni, Judith W, Dexheimer, Eric S, Kirkendall, S Andrew, Spooner
Publikováno v:
AMIA ... Annual Symposium proceedings. AMIA Symposium. 2018
Dosing errors due to erroneous body weight entry can be mitigated through algorithms designed to detect anomalies in weight patterns. To prepare for the development of a new algorithm for weight-entry error detection, we compared methods for detectin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::ade832710b2b51429189453ae22bfff0
https://pubmed.ncbi.nlm.nih.gov/30815152
https://pubmed.ncbi.nlm.nih.gov/30815152
Autor:
Thomas Minich, Judith W. Dexheimer, Joshua D Courter, Rahul Damania, Eric S. Kirkendall, Michal Kouril, S. Andrew Spooner, Philip A. Hagedorn, Dan Li, Rhonda D. Szczesniak
Publikováno v:
Journal of the American Medical Informatics Association. 24:295-302
Objectives: Electronic trigger detection tools hold promise to reduce Adverse drug event (ADEs) through efficiencies of scale and real-time reporting. We hypothesized that such a tool could automatically detect medication dosing errors as well as man
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a8e287aebfb0256cd9d2b0755782ed3
https://doi.org/10.1093/jamia/ocw086
https://doi.org/10.1093/jamia/ocw086
Autor:
S. Andrew Spooner, Joshua D Courter, Eric S. Kirkendall, Thomas Minich, Philip A. Hagedorn, Judith W. Dexheimer, Michal Kouril
Publikováno v:
JAMA pediatrics. 171(4)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::056c2853f45ceac1e6740c3fbf90e787
https://pubmed.ncbi.nlm.nih.gov/28152133
https://pubmed.ncbi.nlm.nih.gov/28152133