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Building of EMR Tools to Support Quality and Research in a Memory Disorders Clinic
The electronic medical record (EMR) presents an opportunity to standardize patient data collection based on quality guidelines and conduct practice-based research. We describe the development of a customized EMR “toolkit” that standardizes patient data collection with hundreds of discrete fields tha...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6416163/ https://www.ncbi.nlm.nih.gov/pubmed/30899241 http://dx.doi.org/10.3389/fneur.2019.00161 |
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author | Simon, Kelly Claire Yucus, Chad Castle, James Chesis, Richard Lai, Rebekah Hillman, Laura Tideman, Samuel Garduno, Lisette Meyers, Steven Frigerio, Roberta Maraganore, Demetrius M. |
author_facet | Simon, Kelly Claire Yucus, Chad Castle, James Chesis, Richard Lai, Rebekah Hillman, Laura Tideman, Samuel Garduno, Lisette Meyers, Steven Frigerio, Roberta Maraganore, Demetrius M. |
author_sort | Simon, Kelly Claire |
collection | PubMed |
description | The electronic medical record (EMR) presents an opportunity to standardize patient data collection based on quality guidelines and conduct practice-based research. We describe the development of a customized EMR “toolkit” that standardizes patient data collection with hundreds of discrete fields that supports Best Practices for treating patients with memory disorders. The toolkit also supports practice-based research. We describe the design and successful implementation of a customized EMR toolkit to support Best Practices in the care of patients with memory disorders. We discuss applications, including quality improvement projects and current research initiatives, using the toolkit. This toolkit is being shared with other departments of Neurology as part of the Neurology Practice-Based Research Network. Data collection is ongoing, including longitudinal follow-up. This toolkit will generate data that will allow for descriptive and hypothesis driven research as well-quality improvement among patients seen in a memory clinic. |
format | Online Article Text |
id | pubmed-6416163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64161632019-03-21 Building of EMR Tools to Support Quality and Research in a Memory Disorders Clinic Simon, Kelly Claire Yucus, Chad Castle, James Chesis, Richard Lai, Rebekah Hillman, Laura Tideman, Samuel Garduno, Lisette Meyers, Steven Frigerio, Roberta Maraganore, Demetrius M. Front Neurol Neurology The electronic medical record (EMR) presents an opportunity to standardize patient data collection based on quality guidelines and conduct practice-based research. We describe the development of a customized EMR “toolkit” that standardizes patient data collection with hundreds of discrete fields that supports Best Practices for treating patients with memory disorders. The toolkit also supports practice-based research. We describe the design and successful implementation of a customized EMR toolkit to support Best Practices in the care of patients with memory disorders. We discuss applications, including quality improvement projects and current research initiatives, using the toolkit. This toolkit is being shared with other departments of Neurology as part of the Neurology Practice-Based Research Network. Data collection is ongoing, including longitudinal follow-up. This toolkit will generate data that will allow for descriptive and hypothesis driven research as well-quality improvement among patients seen in a memory clinic. Frontiers Media S.A. 2019-03-07 /pmc/articles/PMC6416163/ /pubmed/30899241 http://dx.doi.org/10.3389/fneur.2019.00161 Text en Copyright © 2019 Simon, Yucus, Castle, Chesis, Lai, Hillman, Tideman, Garduno, Meyers, Frigerio and Maraganore. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Simon, Kelly Claire Yucus, Chad Castle, James Chesis, Richard Lai, Rebekah Hillman, Laura Tideman, Samuel Garduno, Lisette Meyers, Steven Frigerio, Roberta Maraganore, Demetrius M. Building of EMR Tools to Support Quality and Research in a Memory Disorders Clinic |
title | Building of EMR Tools to Support Quality and Research in a Memory Disorders Clinic |
title_full | Building of EMR Tools to Support Quality and Research in a Memory Disorders Clinic |
title_fullStr | Building of EMR Tools to Support Quality and Research in a Memory Disorders Clinic |
title_full_unstemmed | Building of EMR Tools to Support Quality and Research in a Memory Disorders Clinic |
title_short | Building of EMR Tools to Support Quality and Research in a Memory Disorders Clinic |
title_sort | building of emr tools to support quality and research in a memory disorders clinic |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6416163/ https://www.ncbi.nlm.nih.gov/pubmed/30899241 http://dx.doi.org/10.3389/fneur.2019.00161 |
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