Cargando…

A Quantitative Method for Assessment of Prescribing Patterns Using Electronic Health Records

BACKGROUND: Most available quality indicators for hospitals are represented by simple ratios or proportions, and are limited to specific events. A generalized method that can be applied to diverse clinical events has not been developed. The aim of this study was to develop a simple method of evaluat...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yoon, Dukyong, Park, Inwhee, Schuemie, Martijn J., Park, Man Young, Kim, Ju Han, Park, Rae Woong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2013
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3794932/ https://www.ncbi.nlm.nih.gov/pubmed/24130689 http://dx.doi.org/10.1371/journal.pone.0075214

Ejemplares similares

Conversion and Data Quality Assessment of Electronic Health Record Data at a Korean Tertiary Teaching Hospital to a Common Data Model for Distributed Network Research
por: Yoon, Dukyong, et al.
Publicado: (2016)

Association between Full Electronic Medical Record System Adoption and Drug Use: Antibiotics and Polypharmacy
por: Park, Young-Taek, et al.
Publicado: (2020)

Comparison of the Risk of Gastrointestinal Bleeding among Different Statin Exposures with Concomitant Administration of Warfarin: Electronic Health Record-Based Retrospective Cohort Study
por: Shin, Dahye, et al.
Publicado: (2016)

Standard-based comprehensive detection of adverse drug reaction signals from nursing statements and laboratory results in electronic health records
por: Lee, Suehyun, et al.
Publicado: (2017)

Extracting information from free-text electronic patient records to identify practice-based evidence of the performance of coronary stents
por: Kim, Yoon Seob, et al.
Publicado: (2017)

Can we predict when to start renal replacement therapy in patients with chronic kidney disease using 6 months of clinical data?
por: Lee, Min-Jeong, et al.
Publicado: (2018)

Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signals
por: Jeong, Eugene, et al.
Publicado: (2018)

Correction: Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signals
por: Jeong, Eugene, et al.
Publicado: (2019)

Characterization of Medication Trends for Chronic Kidney Disease: Mineral and Bone Disorder Treatment Using Electronic Health Record-Based Common Data Model
por: Han, Sungdam, et al.
Publicado: (2021)

ECG-ViEW II, a freely accessible electrocardiogram database
por: Kim, Young-Gun, et al.
Publicado: (2017)

Olmesartan is not associated with the risk of enteropathy: a Korean nationwide observational cohort study
por: You, Seng Chan, et al.
Publicado: (2019)

Monitoring prescribing patterns using regression and electronic health records
por: Backenroth, Daniel, et al.
Publicado: (2017)

Differentially co-expressed interacting protein pairs discriminate samples under distinct stages of HIV type 1 infection
por: Yoon, Dukyong, et al.
Publicado: (2011)

Evaluation of drug prescribing patterns and therapeutic drug monitoring practice using electronic medical records
por: Lee, Sangmi, et al.
Publicado: (2022)

System for Collecting Biosignal Data from Multiple Patient Monitoring Systems
por: Yoon, Dukyong, et al.
Publicado: (2017)

Repurpose terbutaline sulfate for amyotrophic lateral sclerosis using electronic medical records
por: Paik, Hyojung, et al.
Publicado: (2015)

Improving sensitivity of machine learning methods for automated case identification from free-text electronic medical records
por: Afzal, Zubair, et al.
Publicado: (2013)

Psychosis Relapse Prediction Leveraging Electronic Health Records Data and Natural Language Processing Enrichment Methods
por: Lee, Dong Yun, et al.
Publicado: (2022)

Prescribing, recording, and reporting electron beam therapy
por: International Commission on Radiation Units and Measurements. Bethesda
Publicado: (2004)

Risk of QT prolongation through drug interactions between hydroxychloroquine and concomitant drugs prescribed in real world practice
por: Choi, Byung Jin, et al.
Publicado: (2021)

Central and cerebral haemodynamic changes after antihypertensive therapy in ischaemic stroke patients: A double-blind randomised trial
por: Choi, Mun Hee, et al.
Publicado: (2018)

Development of a Risk Score for QT Prolongation in the Intensive Care Unit Using Time-Series Electrocardiogram Data and Electronic Medical Records
por: Kim, Tae Young, et al.
Publicado: (2021)

Statins and risk for new-onset diabetes mellitus: A real-world cohort study using a clinical research database
por: Yoon, Dukyong, et al.
Publicado: (2016)

Tailoring the electronic health record to reduce inappropriate prescribing
por: Mozer, Christine L., et al.
Publicado: (2022)

Channeling in the Use of Nonprescription Paracetamol and Ibuprofen in an Electronic Medical Records Database: Evidence and Implications
por: Weinstein, Rachel B., et al.
Publicado: (2017)

Generating and evaluating a propensity model using textual features from electronic medical records
por: Afzal, Zubair, et al.
Publicado: (2019)

Assessing the Validity of Electronic Medical Records for Identifying High Antibiotic Prescribers in Primary Care
por: McIsaac, Warren J., et al.
Publicado: (2023)

Construction of an Electrocardiogram Database Including 12 Lead Waveforms
por: Chung, Dahee, et al.
Publicado: (2018)

Factors Affecting the Prescribing Patterns of Antibiotics and Injections
por: Choi, Kyung-Hyun, et al.
Publicado: (2012)

Effect of an Electronic Health Record “Nudge” on Opioid Prescribing and Electronic Health Record Keystrokes in Ambulatory Care
por: Ancker, Jessica S., et al.
Publicado: (2020)

Patient Visits and Prescribing Patterns Associated with Rosacea in Korea: A Real-World Retrospective Study Based on Electronic Medical Records
por: Woo, Yu Ri, et al.
Publicado: (2022)

Standardization Is Necessary in the Methods to Assess the Value of Electronic Prescribing Systems
por: McMullin, S. Troy
Publicado: (2005)

Visual and Quantitative Analysis Methods of Respiratory Patterns for Respiratory Gated PET/CT
por: Son, Hye Joo, et al.
Publicado: (2016)

Assessment of an electronic patient record system on discharge prescribing errors in a Tertiary University Hospital
por: O’Shea, Michael Patrick, et al.
Publicado: (2021)

Associations of rest-activity patterns with amyloid burden, medial temporal lobe atrophy, and cognitive impairment
por: Roh, Hyun Woong, et al.
Publicado: (2020)

Impact of Electronic Health Record Systems on Prescribing Errors in Pediatric Clinics
por: Gildon, Brooke L., et al.
Publicado: (2019)

Quantitative assessment of Azumiobodo hoyamushi distribution in the tunic of soft tunic syndrome–affected ascidian Halocynthia roretzi using real-time polymerase chain reaction
por: Shin, Yun-Kyung, et al.
Publicado: (2014)

A Framework (SOCRATex) for Hierarchical Annotation of Unstructured Electronic Health Records and Integration Into a Standardized Medical Database: Development and Usability Study
por: Park, Jimyung, et al.
Publicado: (2021)

Impact of emergency hospital admissions on patterns of primary care prescribing: a retrospective cohort analysis of electronic records in England
por: Denholm, Rachel, et al.
Publicado: (2020)

Treatment Patterns of Type 2 Diabetes Assessed Using a Common Data Model Based on Electronic Health Records of 2000–2019
por: Lee, Kyung Ae, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_ua53bm42h4s8qcpsofqt2ps3kn