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Simple Workflow Changes Enable Effective Patient Identity Matching in Poison Control
Background U.S. poison control centers pose a special case for patient identity matching because they collect only minimal patient identifying information. Methods In early 2017, the Utah Poison Control Center (Utah PCC) initiated participation in regional health information exchange by sending He...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Georg Thieme Verlag KG
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059864/ https://www.ncbi.nlm.nih.gov/pubmed/30045385 http://dx.doi.org/10.1055/s-0038-1667000 |
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author | Cummins, Mollie R. Ranade-Kharkar, Pallavi Johansen, Cody Bennett, Heather Gabriel, Shelley Crouch, Barbara I. Del Fiol, Guilherme Hoffman, Matt |
author_facet | Cummins, Mollie R. Ranade-Kharkar, Pallavi Johansen, Cody Bennett, Heather Gabriel, Shelley Crouch, Barbara I. Del Fiol, Guilherme Hoffman, Matt |
author_sort | Cummins, Mollie R. |
collection | PubMed |
description | Background U.S. poison control centers pose a special case for patient identity matching because they collect only minimal patient identifying information. Methods In early 2017, the Utah Poison Control Center (Utah PCC) initiated participation in regional health information exchange by sending Health Level Seven Consolidated Clinical Document Architecture (C-CDA) documents to the Utah Health Information Network and Intermountain Healthcare. To increase the documentation of patient identifiers by the Utah PCC, we (1) adapted documentation practices to enable more complete and consistent documentation, and (2) implemented staff training to improve collection of identifiers. Results Compared with the same time period in 2016, the Utah PCC showed an increase of 27% ( p < 0.001) in collection of birth date for cases referred to a health care facility, while improvements in the collection of other identifiers ranged from 0 to 8%. Automated patient identity matching was successful for 77% (100 of 130) of the C-CDAs. Conclusion Historical processes and procedures for matching patient identities require adaptation or added functionality to adequately support the PCC use case. |
format | Online Article Text |
id | pubmed-6059864 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Georg Thieme Verlag KG |
record_format | MEDLINE/PubMed |
spelling | pubmed-60598642019-07-01 Simple Workflow Changes Enable Effective Patient Identity Matching in Poison Control Cummins, Mollie R. Ranade-Kharkar, Pallavi Johansen, Cody Bennett, Heather Gabriel, Shelley Crouch, Barbara I. Del Fiol, Guilherme Hoffman, Matt Appl Clin Inform Background U.S. poison control centers pose a special case for patient identity matching because they collect only minimal patient identifying information. Methods In early 2017, the Utah Poison Control Center (Utah PCC) initiated participation in regional health information exchange by sending Health Level Seven Consolidated Clinical Document Architecture (C-CDA) documents to the Utah Health Information Network and Intermountain Healthcare. To increase the documentation of patient identifiers by the Utah PCC, we (1) adapted documentation practices to enable more complete and consistent documentation, and (2) implemented staff training to improve collection of identifiers. Results Compared with the same time period in 2016, the Utah PCC showed an increase of 27% ( p < 0.001) in collection of birth date for cases referred to a health care facility, while improvements in the collection of other identifiers ranged from 0 to 8%. Automated patient identity matching was successful for 77% (100 of 130) of the C-CDAs. Conclusion Historical processes and procedures for matching patient identities require adaptation or added functionality to adequately support the PCC use case. Georg Thieme Verlag KG 2018-07 2018-07-25 /pmc/articles/PMC6059864/ /pubmed/30045385 http://dx.doi.org/10.1055/s-0038-1667000 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited. |
spellingShingle | Cummins, Mollie R. Ranade-Kharkar, Pallavi Johansen, Cody Bennett, Heather Gabriel, Shelley Crouch, Barbara I. Del Fiol, Guilherme Hoffman, Matt Simple Workflow Changes Enable Effective Patient Identity Matching in Poison Control |
title | Simple Workflow Changes Enable Effective Patient Identity Matching in Poison Control |
title_full | Simple Workflow Changes Enable Effective Patient Identity Matching in Poison Control |
title_fullStr | Simple Workflow Changes Enable Effective Patient Identity Matching in Poison Control |
title_full_unstemmed | Simple Workflow Changes Enable Effective Patient Identity Matching in Poison Control |
title_short | Simple Workflow Changes Enable Effective Patient Identity Matching in Poison Control |
title_sort | simple workflow changes enable effective patient identity matching in poison control |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059864/ https://www.ncbi.nlm.nih.gov/pubmed/30045385 http://dx.doi.org/10.1055/s-0038-1667000 |
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