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It is time to learn from patients like mine
Clinicians are often faced with situations where published treatment guidelines do not provide a clear recommendation. In such situations, evidence generated from similar patients’ data captured in electronic health records (EHRs) can aid decision making. However, challenges in generating and making...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550176/ https://www.ncbi.nlm.nih.gov/pubmed/31304364 http://dx.doi.org/10.1038/s41746-019-0091-3 |
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author | Gombar, Saurabh Callahan, Alison Califf, Robert Harrington, Robert Shah, Nigam H. |
author_facet | Gombar, Saurabh Callahan, Alison Califf, Robert Harrington, Robert Shah, Nigam H. |
author_sort | Gombar, Saurabh |
collection | PubMed |
description | Clinicians are often faced with situations where published treatment guidelines do not provide a clear recommendation. In such situations, evidence generated from similar patients’ data captured in electronic health records (EHRs) can aid decision making. However, challenges in generating and making such evidence available have prevented its on-demand use to inform patient care. We propose that a specialty consultation service staffed by a team of medical and informatics experts can rapidly summarize ‘what happened to patients like mine’ using data from the EHR and other health data sources. By emulating a familiar physician workflow, and keeping experts in the loop, such a service can translate physician inquiries about situations with evidence gaps into actionable reports. The demand for and benefits gained from such a consult service will naturally vary by practice type and data robustness. However, we cannot afford to miss the opportunity to use the patient data captured every day via EHR systems to close the evidence gap between available clinical guidelines and realities of clinical practice. We have begun offering such a service to physicians at our academic medical center and believe that such a service should be core offering by clinical informatics professional throughout the country. Only if we launch such efforts broadly can we systematically study the utility of learning from the record of routine clinical practice. |
format | Online Article Text |
id | pubmed-6550176 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65501762019-07-12 It is time to learn from patients like mine Gombar, Saurabh Callahan, Alison Califf, Robert Harrington, Robert Shah, Nigam H. NPJ Digit Med Perspective Clinicians are often faced with situations where published treatment guidelines do not provide a clear recommendation. In such situations, evidence generated from similar patients’ data captured in electronic health records (EHRs) can aid decision making. However, challenges in generating and making such evidence available have prevented its on-demand use to inform patient care. We propose that a specialty consultation service staffed by a team of medical and informatics experts can rapidly summarize ‘what happened to patients like mine’ using data from the EHR and other health data sources. By emulating a familiar physician workflow, and keeping experts in the loop, such a service can translate physician inquiries about situations with evidence gaps into actionable reports. The demand for and benefits gained from such a consult service will naturally vary by practice type and data robustness. However, we cannot afford to miss the opportunity to use the patient data captured every day via EHR systems to close the evidence gap between available clinical guidelines and realities of clinical practice. We have begun offering such a service to physicians at our academic medical center and believe that such a service should be core offering by clinical informatics professional throughout the country. Only if we launch such efforts broadly can we systematically study the utility of learning from the record of routine clinical practice. Nature Publishing Group UK 2019-03-19 /pmc/articles/PMC6550176/ /pubmed/31304364 http://dx.doi.org/10.1038/s41746-019-0091-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Perspective Gombar, Saurabh Callahan, Alison Califf, Robert Harrington, Robert Shah, Nigam H. It is time to learn from patients like mine |
title | It is time to learn from patients like mine |
title_full | It is time to learn from patients like mine |
title_fullStr | It is time to learn from patients like mine |
title_full_unstemmed | It is time to learn from patients like mine |
title_short | It is time to learn from patients like mine |
title_sort | it is time to learn from patients like mine |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550176/ https://www.ncbi.nlm.nih.gov/pubmed/31304364 http://dx.doi.org/10.1038/s41746-019-0091-3 |
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