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Understanding optimisation processes of electronic health records (EHRs) in select leading hospitals: a qualitative study

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Zeitschriftentitel: BMJ Health & Care Informatics
Personen und Körperschaften: Moon, Mark Chun, Hills, Rebecca, Demiris, George
In: BMJ Health & Care Informatics, 25, 2018, 2, S. 109-125
Medientyp: E-Article
Sprache: Englisch
veröffentlicht:
BMJ
Schlagwörter:
author_facet Moon, Mark Chun
Hills, Rebecca
Demiris, George
Moon, Mark Chun
Hills, Rebecca
Demiris, George
author Moon, Mark Chun
Hills, Rebecca
Demiris, George
spellingShingle Moon, Mark Chun
Hills, Rebecca
Demiris, George
BMJ Health & Care Informatics
Understanding optimisation processes of electronic health records (EHRs) in select leading hospitals: a qualitative study
Health Information Management
Health Informatics
Computer Science Applications
author_sort moon, mark chun
spelling Moon, Mark Chun Hills, Rebecca Demiris, George 2632-1009 BMJ Health Information Management Health Informatics Computer Science Applications http://dx.doi.org/10.14236/jhi.v25i2.1011 <jats:sec><jats:title>Background</jats:title><jats:p>Little is known about optimisation of electronic health records (EHRs) systems in the hospital setting while adoption of EHR systems continues in the United States.</jats:p></jats:sec><jats:sec><jats:title>Objective</jats:title><jats:p>To understand optimisation processes of EHR systems undertaken in leading healthcare organisations in the United States.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Informed by a grounded theory approach, a qualitative study was undertaken that involved 11 in-depth interviews and a focus group with the EHR experts from the high performing healthcare organisations across the United States.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The study describes EHR optimisation processes characterised by prioritising exponentially increasing requests with predominant focus on improving efficiency of EHR, building optimisation teams or advisory groups and standardisation. The study discusses 16 types of optimisation that interdependently produced 16 results along with identifying 11 barriers and 20 facilitators to optimisation.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>The study describes overall experiences of optimising EHRs in select high performing healthcare organisations in the US. The findings highlight the importance of optimising the EHR after, and even before, go-live and dedicating resources exclusively for optimisation.</jats:p></jats:sec> Understanding optimisation processes of electronic health records (EHRs) in select leading hospitals: a qualitative study BMJ Health & Care Informatics
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title Understanding optimisation processes of electronic health records (EHRs) in select leading hospitals: a qualitative study
title_unstemmed Understanding optimisation processes of electronic health records (EHRs) in select leading hospitals: a qualitative study
title_full Understanding optimisation processes of electronic health records (EHRs) in select leading hospitals: a qualitative study
title_fullStr Understanding optimisation processes of electronic health records (EHRs) in select leading hospitals: a qualitative study
title_full_unstemmed Understanding optimisation processes of electronic health records (EHRs) in select leading hospitals: a qualitative study
title_short Understanding optimisation processes of electronic health records (EHRs) in select leading hospitals: a qualitative study
title_sort understanding optimisation processes of electronic health records (ehrs) in select leading hospitals: a qualitative study
topic Health Information Management
Health Informatics
Computer Science Applications
url http://dx.doi.org/10.14236/jhi.v25i2.1011
publishDate 2018
physical 109-125
description <jats:sec><jats:title>Background</jats:title><jats:p>Little is known about optimisation of electronic health records (EHRs) systems in the hospital setting while adoption of EHR systems continues in the United States.</jats:p></jats:sec><jats:sec><jats:title>Objective</jats:title><jats:p>To understand optimisation processes of EHR systems undertaken in leading healthcare organisations in the United States.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Informed by a grounded theory approach, a qualitative study was undertaken that involved 11 in-depth interviews and a focus group with the EHR experts from the high performing healthcare organisations across the United States.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The study describes EHR optimisation processes characterised by prioritising exponentially increasing requests with predominant focus on improving efficiency of EHR, building optimisation teams or advisory groups and standardisation. The study discusses 16 types of optimisation that interdependently produced 16 results along with identifying 11 barriers and 20 facilitators to optimisation.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>The study describes overall experiences of optimising EHRs in select high performing healthcare organisations in the US. The findings highlight the importance of optimising the EHR after, and even before, go-live and dedicating resources exclusively for optimisation.</jats:p></jats:sec>
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author Moon, Mark Chun, Hills, Rebecca, Demiris, George
author_facet Moon, Mark Chun, Hills, Rebecca, Demiris, George, Moon, Mark Chun, Hills, Rebecca, Demiris, George
author_sort moon, mark chun
container_issue 2
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description <jats:sec><jats:title>Background</jats:title><jats:p>Little is known about optimisation of electronic health records (EHRs) systems in the hospital setting while adoption of EHR systems continues in the United States.</jats:p></jats:sec><jats:sec><jats:title>Objective</jats:title><jats:p>To understand optimisation processes of EHR systems undertaken in leading healthcare organisations in the United States.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Informed by a grounded theory approach, a qualitative study was undertaken that involved 11 in-depth interviews and a focus group with the EHR experts from the high performing healthcare organisations across the United States.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The study describes EHR optimisation processes characterised by prioritising exponentially increasing requests with predominant focus on improving efficiency of EHR, building optimisation teams or advisory groups and standardisation. The study discusses 16 types of optimisation that interdependently produced 16 results along with identifying 11 barriers and 20 facilitators to optimisation.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>The study describes overall experiences of optimising EHRs in select high performing healthcare organisations in the US. The findings highlight the importance of optimising the EHR after, and even before, go-live and dedicating resources exclusively for optimisation.</jats:p></jats:sec>
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spelling Moon, Mark Chun Hills, Rebecca Demiris, George 2632-1009 BMJ Health Information Management Health Informatics Computer Science Applications http://dx.doi.org/10.14236/jhi.v25i2.1011 <jats:sec><jats:title>Background</jats:title><jats:p>Little is known about optimisation of electronic health records (EHRs) systems in the hospital setting while adoption of EHR systems continues in the United States.</jats:p></jats:sec><jats:sec><jats:title>Objective</jats:title><jats:p>To understand optimisation processes of EHR systems undertaken in leading healthcare organisations in the United States.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Informed by a grounded theory approach, a qualitative study was undertaken that involved 11 in-depth interviews and a focus group with the EHR experts from the high performing healthcare organisations across the United States.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The study describes EHR optimisation processes characterised by prioritising exponentially increasing requests with predominant focus on improving efficiency of EHR, building optimisation teams or advisory groups and standardisation. The study discusses 16 types of optimisation that interdependently produced 16 results along with identifying 11 barriers and 20 facilitators to optimisation.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>The study describes overall experiences of optimising EHRs in select high performing healthcare organisations in the US. The findings highlight the importance of optimising the EHR after, and even before, go-live and dedicating resources exclusively for optimisation.</jats:p></jats:sec> Understanding optimisation processes of electronic health records (EHRs) in select leading hospitals: a qualitative study BMJ Health & Care Informatics
spellingShingle Moon, Mark Chun, Hills, Rebecca, Demiris, George, BMJ Health & Care Informatics, Understanding optimisation processes of electronic health records (EHRs) in select leading hospitals: a qualitative study, Health Information Management, Health Informatics, Computer Science Applications
title Understanding optimisation processes of electronic health records (EHRs) in select leading hospitals: a qualitative study
title_full Understanding optimisation processes of electronic health records (EHRs) in select leading hospitals: a qualitative study
title_fullStr Understanding optimisation processes of electronic health records (EHRs) in select leading hospitals: a qualitative study
title_full_unstemmed Understanding optimisation processes of electronic health records (EHRs) in select leading hospitals: a qualitative study
title_short Understanding optimisation processes of electronic health records (EHRs) in select leading hospitals: a qualitative study
title_sort understanding optimisation processes of electronic health records (ehrs) in select leading hospitals: a qualitative study
title_unstemmed Understanding optimisation processes of electronic health records (EHRs) in select leading hospitals: a qualitative study
topic Health Information Management, Health Informatics, Computer Science Applications
url http://dx.doi.org/10.14236/jhi.v25i2.1011