Cargando…

Predicting inpatient pharmacy order interventions using provider action data

OBJECTIVE: The widespread deployment of electronic health records (EHRs) has introduced new sources of error and inefficiencies to the process of ordering medications in the hospital setting. Existing work identifies orders that require pharmacy intervention by comparing them to a patient’s medical...

Descripción completa

Detalles Bibliográficos
Autores principales:	Balestra, Martina, Chen, Ji, Iturrate, Eduardo, Aphinyanaphongs, Yindalon, Nov, Oded
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2021
Materias:	Research and Applications
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8490931/ https://www.ncbi.nlm.nih.gov/pubmed/34617009 http://dx.doi.org/10.1093/jamiaopen/ooab083

Ejemplares similares

Estimating real-world performance of a predictive model: a case-study in predicting mortality
por: Major, Vincent J, et al.
Publicado: (2020)

Predicting inpatient clinical order patterns with probabilistic topic models vs conventional order sets
por: Chen, Jonathan H, et al.
Publicado: (2017)

Telemedicine and healthcare disparities: a cohort study in a large healthcare system in New York City during COVID-19
por: Chunara, Rumi, et al.
Publicado: (2020)

Development, implementation, and prospective validation of a model to predict 60-day end-of-life in hospitalized adults upon admission at three sites
por: Major, Vincent J., et al.
Publicado: (2020)

The Impact of Telemedicine on Physicians’ After-hours Electronic Health Record “Work Outside Work” During the COVID-19 Pandemic: Retrospective Cohort Study
por: Lawrence, Katharine, et al.
Publicado: (2022)

Marketing and US Food and Drug Administration Clearance of Artificial Intelligence and Machine Learning Enabled Software in and as Medical Devices: A Systematic Review
por: Clark, Phoebe, et al.
Publicado: (2023)

Impact of computerized provider order entry (CPOE) on length of stay and mortality
por: Lyons, Ann M, et al.
Publicado: (2017)

Reduction in medication errors in hospitals due to adoption of computerized provider order entry systems
por: Radley, David C, et al.
Publicado: (2013)

4320 Acral, Head and Neck Melanoma Subtype Classification Performance Using A Convolutional Neural Network (CNN) Trained On a Public Dataset
por: Shah, Payal, et al.
Publicado: (2020)

Open-Source Clinical Machine Learning Models: Critical Appraisal of Feasibility, Advantages, and Challenges
por: Harish, Keerthi B, et al.
Publicado: (2022)

Social Annotation Valence: The Impact on Online Informed Consent Beliefs and Behavior
por: Balestra, Martina, et al.
Publicado: (2016)

Preferences and patterns of response to public health advice during the COVID-19 pandemic
por: Nov, Oded, et al.
Publicado: (2021)

Using electronic health record data to develop inpatient mortality predictive model: Acute Laboratory Risk of Mortality Score (ALaRMS)
por: Tabak, Ying P, et al.
Publicado: (2014)

Development, Implementation, and Evaluation of a Personalized Machine Learning Algorithm for Clinical Decision Support: Case Study With Shingles Vaccination
por: Chen, Ji, et al.
Publicado: (2020)

Framework for identifying drug repurposing candidates from observational healthcare data
por: Ozery-Flato, Michal, et al.
Publicado: (2020)

Transmitting and processing electronic prescriptions: experiences of physician practices and pharmacies
por: Grossman, Joy M, et al.
Publicado: (2011)

The fifth vital sign? Nurse worry predicts inpatient deterioration within 24 hours
por: Romero-Brufau, Santiago, et al.
Publicado: (2019)

OEFinder: a user interface to identify and visualize ordering effects in single-cell RNA-seq data
por: Leng, Ning, et al.
Publicado: (2016)

Orders of Magnitude Extension of the Effective Dynamic Range of TDC-Based TOFMS Data Through Maximum Likelihood Estimation
por: Ipsen, Andreas, et al.
Publicado: (2014)

Health informatics interventions to minimize out-of-pocket medication costs for patients: what providers want
por: Kiessling, Karalyn A, et al.
Publicado: (2022)

OnD-CRF: predicting order and disorder in proteins conditional random fields
por: Wang, Lixiao, et al.
Publicado: (2008)

Predicting childhood obesity using electronic health records and publicly available data
por: Hammond, Robert, et al.
Publicado: (2019)

A secure protocol for protecting the identity of providers when disclosing data for disease surveillance
por: El Emam, Khaled, et al.
Publicado: (2011)

Correction: Predicting childhood obesity using electronic health records and publicly available data
por: Hammond, Robert, et al.
Publicado: (2019)

RCSB PDB Mobile: iOS and Android mobile apps to provide data access and visualization to the RCSB Protein Data Bank
por: Quinn, Gregory B., et al.
Publicado: (2015)

OpenFDA: an innovative platform providing access to a wealth of FDA’s publicly available data
por: Kass-Hout, Taha A, et al.
Publicado: (2016)

Informing the Design of Direct-to-Consumer Interactive Personal Genomics Reports
por: Shaer, Orit, et al.
Publicado: (2015)

Development of a “meta-model” to address missing data, predict patient-specific cancer survival and provide a foundation for clinical decision support
por: Baron, Jason M, et al.
Publicado: (2020)

Usability challenges with electronic health records (EHRs) during prerounding on pediatric inpatients
por: Alami, Jawad, et al.
Publicado: (2022)

Rapid Deployment of Inpatient Telemedicine In Response to COVID-19 Across Three Health Systems
por: Vilendrer, Stacie, et al.
Publicado: (2020)

Evaluation of an approach to clinical decision support for preventing inpatient falls: a pragmatic trial
por: Cho, Insook, et al.
Publicado: (2023)

HyperGraphs.jl: representing higher-order relationships in Julia
por: Diaz, Léo P M, et al.
Publicado: (2022)

Innovating to enhance clinical data management using non-commercial and open source solutions across a multi-center network supporting inpatient pediatric care and research in Kenya
por: Tuti, Timothy, et al.
Publicado: (2016)

Using voice to create inpatient progress notes: effects on note timeliness, quality, and physician satisfaction
por: Payne, Thomas H, et al.
Publicado: (2018)

ClinicNet: machine learning for personalized clinical order set recommendations
por: Wang, Jonathan X, et al.
Publicado: (2020)

VPOT: A Customizable Variant Prioritization Ordering Tool for Annotated Variants
por: Ip, Eddie, et al.
Publicado: (2019)

A 3D printing approach toward targeted intervention in telerehabilitation
por: Barak Ventura, Roni, et al.
Publicado: (2020)

Japanese EMRs and IT in Medicine: Expansion, Integration, and Reuse of Data
por: Takabayashi, Katsuhiko, et al.
Publicado: (2011)

Leveraging Devices, Data and Discovery for Smarter Healthcare in Japan
por: Sawa, Tomohiro
Publicado: (2011)

Estimating the information gap between emergency department records of community medication compared to on-line access to the community-based pharmacy records
por: Tamblyn, Robyn, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_plm0uhrignhe7sml7vcg9apt8c