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Quality improvement and practice-based research in sleep medicine using structured clinical documentation in the electronic medical record
BACKGROUND: We developed and implemented a structured clinical documentation support (SCDS) toolkit within the electronic medical record, to optimize patient care, facilitate documentation, and capture data at office visits in a sleep medicine/neurology clinic for patient care and research collabora...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7213673/ https://www.ncbi.nlm.nih.gov/pubmed/32395635 http://dx.doi.org/10.1186/s41606-019-0038-2 |
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author | Maraganore, Demetrius M. Freedom, Thomas Simon, Kelly Claire Lovitz, Lori E. Musleh, Camelia Munson, Richard Nasir, Nabeela Patel, Smita Paul, Joya Viola-Saltzman, Mari Meyers, Steven Chesis, Richard Hillman, Laura Tideman, Samuel Pham, Anna Vazquez, Rosa Maria Frigerio, Roberta |
author_facet | Maraganore, Demetrius M. Freedom, Thomas Simon, Kelly Claire Lovitz, Lori E. Musleh, Camelia Munson, Richard Nasir, Nabeela Patel, Smita Paul, Joya Viola-Saltzman, Mari Meyers, Steven Chesis, Richard Hillman, Laura Tideman, Samuel Pham, Anna Vazquez, Rosa Maria Frigerio, Roberta |
author_sort | Maraganore, Demetrius M. |
collection | PubMed |
description | BACKGROUND: We developed and implemented a structured clinical documentation support (SCDS) toolkit within the electronic medical record, to optimize patient care, facilitate documentation, and capture data at office visits in a sleep medicine/neurology clinic for patient care and research collaboration internally and with other centers. METHODS: To build our SCDS toolkit, physicians met frequently to develop content, define the cohort, select outcome measures, and delineate factors known to modify disease progression. We assigned tasks to the care team and mapped data elements to the progress note. Programmer analysts built and tested the SCDS toolkit, which included several score tests. Auto scored and interpreted tests included the Generalized Anxiety Disorder 7-item, Center for Epidemiological Studies Depression Scale, Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index, Insomnia Severity Index, and the International Restless Legs Syndrome Study Group Rating Scale. The SCDS toolkits also provided clinical decision support (untreated anxiety or depression) and prompted enrollment of patients in a DNA biobank. RESULTS: The structured clinical documentation toolkit captures hundreds of fields of discrete data at each office visit. This data can be displayed in tables or graphical form. Best practice advisories within the toolkit alert physicians when a quality improvement opportunity exists. As of May 1, 2019, we have used the toolkit to evaluate 18,105 sleep patients at initial visit. We are also collecting longitudinal data on patients who return for annual visits using the standardized toolkits. We provide a description of our development process and screenshots of our toolkits. CONCLUSIONS: The electronic medical record can be structured to standardize Sleep Medicine office visits, capture data, and support multicenter quality improvement and practice-based research initiatives for sleep patients at the point of care. |
format | Online Article Text |
id | pubmed-7213673 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-72136732020-05-11 Quality improvement and practice-based research in sleep medicine using structured clinical documentation in the electronic medical record Maraganore, Demetrius M. Freedom, Thomas Simon, Kelly Claire Lovitz, Lori E. Musleh, Camelia Munson, Richard Nasir, Nabeela Patel, Smita Paul, Joya Viola-Saltzman, Mari Meyers, Steven Chesis, Richard Hillman, Laura Tideman, Samuel Pham, Anna Vazquez, Rosa Maria Frigerio, Roberta Sleep Sci Pract Article BACKGROUND: We developed and implemented a structured clinical documentation support (SCDS) toolkit within the electronic medical record, to optimize patient care, facilitate documentation, and capture data at office visits in a sleep medicine/neurology clinic for patient care and research collaboration internally and with other centers. METHODS: To build our SCDS toolkit, physicians met frequently to develop content, define the cohort, select outcome measures, and delineate factors known to modify disease progression. We assigned tasks to the care team and mapped data elements to the progress note. Programmer analysts built and tested the SCDS toolkit, which included several score tests. Auto scored and interpreted tests included the Generalized Anxiety Disorder 7-item, Center for Epidemiological Studies Depression Scale, Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index, Insomnia Severity Index, and the International Restless Legs Syndrome Study Group Rating Scale. The SCDS toolkits also provided clinical decision support (untreated anxiety or depression) and prompted enrollment of patients in a DNA biobank. RESULTS: The structured clinical documentation toolkit captures hundreds of fields of discrete data at each office visit. This data can be displayed in tables or graphical form. Best practice advisories within the toolkit alert physicians when a quality improvement opportunity exists. As of May 1, 2019, we have used the toolkit to evaluate 18,105 sleep patients at initial visit. We are also collecting longitudinal data on patients who return for annual visits using the standardized toolkits. We provide a description of our development process and screenshots of our toolkits. CONCLUSIONS: The electronic medical record can be structured to standardize Sleep Medicine office visits, capture data, and support multicenter quality improvement and practice-based research initiatives for sleep patients at the point of care. 2020-01-02 2020-01-02 /pmc/articles/PMC7213673/ /pubmed/32395635 http://dx.doi.org/10.1186/s41606-019-0038-2 Text en http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Article Maraganore, Demetrius M. Freedom, Thomas Simon, Kelly Claire Lovitz, Lori E. Musleh, Camelia Munson, Richard Nasir, Nabeela Patel, Smita Paul, Joya Viola-Saltzman, Mari Meyers, Steven Chesis, Richard Hillman, Laura Tideman, Samuel Pham, Anna Vazquez, Rosa Maria Frigerio, Roberta Quality improvement and practice-based research in sleep medicine using structured clinical documentation in the electronic medical record |
title | Quality improvement and practice-based research in sleep medicine using structured clinical documentation in the electronic medical record |
title_full | Quality improvement and practice-based research in sleep medicine using structured clinical documentation in the electronic medical record |
title_fullStr | Quality improvement and practice-based research in sleep medicine using structured clinical documentation in the electronic medical record |
title_full_unstemmed | Quality improvement and practice-based research in sleep medicine using structured clinical documentation in the electronic medical record |
title_short | Quality improvement and practice-based research in sleep medicine using structured clinical documentation in the electronic medical record |
title_sort | quality improvement and practice-based research in sleep medicine using structured clinical documentation in the electronic medical record |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7213673/ https://www.ncbi.nlm.nih.gov/pubmed/32395635 http://dx.doi.org/10.1186/s41606-019-0038-2 |
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