Factors that Determine Comprehensive Categorical Classification of EHR Implementation Levels

Electronic Health Records (EHRs) have the potential to alleviate patient safety mistakes. Of the various levels of EHR, advanced or higher-level functionalities of EHR are designed to improve patient safety. Certain organizational and environmental factors may pose as barriers toward implementing al...

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Main Authors: Soumya Upadhyay, William Opoku-Agyeman
Format: Article
Language:English
Published: SAGE Publishing 2021-06-01
Series:Health Services Insights
Online Access:https://doi.org/10.1177/11786329211024788
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spelling doaj-8da89a234bb74df9b511d8b4aa371fb52021-06-16T21:34:04ZengSAGE PublishingHealth Services Insights1178-63292021-06-011410.1177/11786329211024788Factors that Determine Comprehensive Categorical Classification of EHR Implementation LevelsSoumya Upadhyay0William Opoku-Agyeman1School of Public Health, Department of Healthcare Administration and Policy, University of Nevada at Las Vegas, Las Vegas, NV, USASchool of Health and Applied Human Sciences, University of North Carolina at Wilmington, Wilmington, NC, USAElectronic Health Records (EHRs) have the potential to alleviate patient safety mistakes. Of the various levels of EHR, advanced or higher-level functionalities of EHR are designed to improve patient safety. Certain organizational and environmental factors may pose as barriers toward implementing all of the functionalities, leaving certain hospitals intermediate between basic and comprehensive levels of implementation. This study identifies a comprehensive categorical classification that includes hospitals that have functionalities between basic and comprehensive levels of EHR and determines the organizational and environmental factors that may influence hospitals to implement one or more combinations of these categories. A longitudinal panel design was used. Ordinal logistic regression with random effects model was fitted with robust cluster standard errors. Our sample consisted of non-federal general acute care hospitals utilizing a panel design from 2010 to 2016 with 17 586 hospital-year observations (or an average of 2600 hospitals per year). Larger size hospitals, ones with higher total margin, metropolitan and urban hospitals, system affiliated hospitals, and those in higher managed care penetration areas have higher odds of belonging in one of the higher categories of EHR implementation. Hospitals that can access a greater amount of human resources and financial assets from their environments, may implement higher levels of EHR. Initial and maintenance costs of EHR, interoperability issues, and inability to distribute high costs of training across facilities may stymie implementation of higher EHR functionalities. Policymaking to encourage competition among vendors may possibly lower the implementation price for hospitals with limited resources.https://doi.org/10.1177/11786329211024788
collection DOAJ
language English
format Article
sources DOAJ
author Soumya Upadhyay
William Opoku-Agyeman
spellingShingle Soumya Upadhyay
William Opoku-Agyeman
Factors that Determine Comprehensive Categorical Classification of EHR Implementation Levels
Health Services Insights
author_facet Soumya Upadhyay
William Opoku-Agyeman
author_sort Soumya Upadhyay
title Factors that Determine Comprehensive Categorical Classification of EHR Implementation Levels
title_short Factors that Determine Comprehensive Categorical Classification of EHR Implementation Levels
title_full Factors that Determine Comprehensive Categorical Classification of EHR Implementation Levels
title_fullStr Factors that Determine Comprehensive Categorical Classification of EHR Implementation Levels
title_full_unstemmed Factors that Determine Comprehensive Categorical Classification of EHR Implementation Levels
title_sort factors that determine comprehensive categorical classification of ehr implementation levels
publisher SAGE Publishing
series Health Services Insights
issn 1178-6329
publishDate 2021-06-01
description Electronic Health Records (EHRs) have the potential to alleviate patient safety mistakes. Of the various levels of EHR, advanced or higher-level functionalities of EHR are designed to improve patient safety. Certain organizational and environmental factors may pose as barriers toward implementing all of the functionalities, leaving certain hospitals intermediate between basic and comprehensive levels of implementation. This study identifies a comprehensive categorical classification that includes hospitals that have functionalities between basic and comprehensive levels of EHR and determines the organizational and environmental factors that may influence hospitals to implement one or more combinations of these categories. A longitudinal panel design was used. Ordinal logistic regression with random effects model was fitted with robust cluster standard errors. Our sample consisted of non-federal general acute care hospitals utilizing a panel design from 2010 to 2016 with 17 586 hospital-year observations (or an average of 2600 hospitals per year). Larger size hospitals, ones with higher total margin, metropolitan and urban hospitals, system affiliated hospitals, and those in higher managed care penetration areas have higher odds of belonging in one of the higher categories of EHR implementation. Hospitals that can access a greater amount of human resources and financial assets from their environments, may implement higher levels of EHR. Initial and maintenance costs of EHR, interoperability issues, and inability to distribute high costs of training across facilities may stymie implementation of higher EHR functionalities. Policymaking to encourage competition among vendors may possibly lower the implementation price for hospitals with limited resources.
url https://doi.org/10.1177/11786329211024788
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