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Evaluation of Drug-Induced Liver Injury Developed During Hospitalization Using Electronic Health Record (EHR)-Based Algorithm

Kang Y, Kim SH, Park SY, Park BY, Lee JH, An J, Won HK, Song WJ, Kwon HS, Cho YS, Moon HB, Shim JH, Yang MS, Kim TB

PURPOSE: The incidence of drug-induced liver injury (DILI) has been increasing; however, few algorithms are available to identify DILI in electronic health records (EHRs). We aimed to identify and evaluate...
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Active Pharmacovigilance of Drug-Induced Liver Injury Using Electronic Health Records

Kim SH

No abstract available.
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Association between Full Electronic Medical Record System Adoption and Drug Use: Antibiotics and Polypharmacy

Park YT, Kim D, Park RW, Atalag K, Kwon IH, Yoon D, Choi M

OBJECTIVES: We investigated associations between full Electronic Medical Record (EMR) system adoption and drug use in healthcare organizations (HCOs) to explore whether EMR system features such as electronic prescribing, medicines...
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Application of Blockchain to Maintaining Patient Records in Electronic Health Record for Enhanced Privacy, Scalability, and Availability

Tith D, Lee JS, Suzuki H, Wijesundara WMAB, Taira N, Obi T, Ohyama N

OBJECTIVES: Electronic Health Record (EHR) systems are increasingly used as an effective method to share patients' records among different hospitals. However, it is still a challenge to access scattered patient...
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Data Mining in Spine Surgery: Leveraging Electronic Health Records for Machine Learning and Clinical Research

Staartjes , Stienen MN

No abstract available.
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Applications of Machine Learning Using Electronic Medical Records in Spine Surgery

Schwartz J, Gao M, Geng EA, Mody KS, Mikhail CM, Cho SK

Developments in machine learning in recent years have precipitated a surge in research on the applications of artificial intelligence within medicine. Machine learning algorithms are beginning to impact medicine broadly,...
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Integrating Genetic Data into Electronic Health Records: Medical Geneticists' Perspectives

Ayatollahi H, Hosseini S, Hemmat M

OBJECTIVES: Genetic disorders are the main causes of many other diseases. Integrating genetic data into Electronic Health Records (EHRs) can facilitate the management of genetic information and care of patients...
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Development and Evaluation of Electronic Health Record Data-Driven Predictive Models for Pressure Ulcers

Park SK, Park HA, Hwang H

PURPOSE: The purpose of this study was to develop predictive models for pressure ulcer incidence using electronic health record (EHR) data and to compare their predictive validity performance indicators with...
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Clinical Decision Supports in Electronic Health Records to Promote Childhood Obesity-Related Care: Results from a 2015 Survey of Healthcare Providers

Harrison M, Lundeen EA, Belay B, Goodman AB

Obesity-related clinical decision support tools in electronic health records (EHRs) can improve pediatric care, but the degree of adoption of these tools is unknown. DocStyles 2015 survey data from US...
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Evaluation of the Humpty Dumpty Falls Scale: An Analysis of Electronic Medical Records

Cho YH, Kim YJ

PURPOSE: The aim of this study was to evaluate the efficiency of the Humpty Dumpty Falls Scale as one of the falls risk assessment tools, and also to evaluate risk...
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Narrative Review for Exploring Barriers to Readiness of Electronic Health Record Implementation in Primary Health Care

Afrizal SH, Hidayanto , Handayani , Budiharsana M, Eryando T

OBJECTIVES: The aim of this study is to explore the enabling factors associated with readiness in Electronic Health Record (EHR) implementation and to identify the barriers related to readiness regarding...
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Clinical Decision Support Functions and Digitalization of Clinical Documents of Electronic Medical Record Systems

Park YT, Kim YS, Yi BK, Kim SM

OBJECTIVES: The objective of this study was to investigate the clinical decision support (CDS) functions and digitalization of clinical documents of Electronic Medical Record (EMR) systems in Korea. This exploratory...
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Comparison of Open-Source Electronic Health Record Systems Based on Functional and User Performance Criteria

Purkayastha S, Allam R, Maity P, Gichoya JW

OBJECTIVES: Open-source Electronic Health Record (EHR) systems have gained importance. The main aim of our research is to guide organizational choice by comparing the features, functionality, and user-facing system performance...
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Prescription Refill Gap of Endocrine Treatment from Electronic Medical Records as a Prognostic Factor in Breast Cancer Patients

Lee Y, Park YR, Lee JS, Lee SB, Chung IY, Son BH, Ahn SH, Lee JW

PURPOSE: Discontinuation of hormone therapy is known to lead to a poorer prognosis in breast cancer patients. We aimed to investigate the prescription gap as a prompt index of medication...
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Triggers and Outcomes of Falls in Hematology Patients: Analysis of Electronic Health Records

Jung MK, Lee SM

PURPOSE: The goal was to use electronic health records to identify factors and outcomes associated with falls among patients admitted to hematology units. METHODS: This retrospective case-control study included data from...
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Multicenter Implementation of a New Electronic Medical Record System Leads to Longer Procedure Times and Poor Staff Satisfaction

Storm AC, Ryou M, Thompson C

No abstract available.
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Association between Electronic Medical Record System Adoption and Healthcare Information Technology Infrastructure

Lee YT, Park YT, Park JS, Yi BK

OBJECTIVES: The objective of this study was to investigate the relationship between the level of Electronic Medical Record (EMR) system adoption and healthcare information technology (IT) infrastructure. METHODS: Both survey and...
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Real-world Evidence versus Randomized Controlled Trial: Clinical Research Based on Electronic Medical Records

Kim HS, Lee S, Kim JH

Real-world evidence (RWE) and randomized control trial (RCT) data are considered mutually complementary. However, compared with RCT, the outcomes of RWE continue to be assigned lower credibility. It must be...
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Optimal methods to detect DRESS (drug reaction with eosinophilia and systemic symptoms) syndrome by electronic medical records

Kang DY, Jang DY, Sohn KH, Kang SY, Kim JY, Cho SH, Kang HR

PURPOSE: Since drug reaction with eosinophilia and systemic symptom (DRESS) syndrome is very rare and difficult to diagnose, its exact epidemiology is still unknown. If screening tools based on laboratory...
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Screening of severe adverse drug reaction by electronic medical record search

Kim CW

No abstract available.
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