The eICU Collaborative Research Database, a freely available multi-center database for critical care research
Critical care patients are monitored closely through the course of their illness. As a result of this monitoring, large amounts of data are routinely collected for these patients. Philips Healthcare has developed a telehealth system, the eICU Program, which leverages these data to support management...
| Main Authors: | , , , , , |
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| Format: | Article |
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Nature Publishing Group
2019
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| Online Access: | http://hdl.handle.net/1721.1/121122 https://orcid.org/0000-0002-5676-7898 https://orcid.org/0000-0002-8735-3014 https://orcid.org/0000-0001-8665-2429 https://orcid.org/0000-0002-6318-2978 |
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| author | Pollard, Tom Joseph Johnson, Alistair Edward William Raffa, Jesse D Celi, Leo Anthony G. Mark, Roger G Badawi, Omar |
| author2 | Institute for Medical Engineering and Science |
| author_facet | Institute for Medical Engineering and Science Pollard, Tom Joseph Johnson, Alistair Edward William Raffa, Jesse D Celi, Leo Anthony G. Mark, Roger G Badawi, Omar |
| author_sort | Pollard, Tom Joseph |
| collection | MIT |
| description | Critical care patients are monitored closely through the course of their illness. As a result of this monitoring, large amounts of data are routinely collected for these patients. Philips Healthcare has developed a telehealth system, the eICU Program, which leverages these data to support management of critically ill patients. Here we describe the eICU Collaborative Research Database, a multi-center intensive care unit (ICU)database with high granularity data for over 200,000 admissions to ICUs monitored by eICU Programs across the United States. The database is deidentified, and includes vital sign measurements, care plan documentation, severity of illness measures, diagnosis information, treatment information, and more. Data are publicly available after registration, including completion of a training course in research with human subjects and signing of a data use agreement mandating responsible handling of the data and adhering to the principle of collaborative research. The freely available nature of the data will support a number of applications including the development of machine learning algorithms, decision support tools, and clinical research. |
| first_indexed | 2024-09-23T12:30:55Z |
| format | Article |
| id | mit-1721.1/121122 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T12:30:55Z |
| publishDate | 2019 |
| publisher | Nature Publishing Group |
| record_format | dspace |
| spelling | mit-1721.1/1211222022-10-01T09:28:41Z The eICU Collaborative Research Database, a freely available multi-center database for critical care research Pollard, Tom Joseph Johnson, Alistair Edward William Raffa, Jesse D Celi, Leo Anthony G. Mark, Roger G Badawi, Omar Institute for Medical Engineering and Science Pollard, Tom Joseph Johnson, Alistair Edward William Raffa, Jesse D Celi, Leo Anthony G. Mark, Roger G Badawi, Omar Critical care patients are monitored closely through the course of their illness. As a result of this monitoring, large amounts of data are routinely collected for these patients. Philips Healthcare has developed a telehealth system, the eICU Program, which leverages these data to support management of critically ill patients. Here we describe the eICU Collaborative Research Database, a multi-center intensive care unit (ICU)database with high granularity data for over 200,000 admissions to ICUs monitored by eICU Programs across the United States. The database is deidentified, and includes vital sign measurements, care plan documentation, severity of illness measures, diagnosis information, treatment information, and more. Data are publicly available after registration, including completion of a training course in research with human subjects and signing of a data use agreement mandating responsible handling of the data and adhering to the principle of collaborative research. The freely available nature of the data will support a number of applications including the development of machine learning algorithms, decision support tools, and clinical research. 2019-03-29T19:50:08Z 2019-03-29T19:50:08Z 2018-09 2018-01 2019-02-15T15:09:10Z Article http://purl.org/eprint/type/JournalArticle 2052-4463 http://hdl.handle.net/1721.1/121122 Pollard, Tom J., Alistair E. W. Johnson, Jesse D. Raffa, Leo A. Celi, Roger G. Mark, and Omar Badawi. “The eICU Collaborative Research Database, a Freely Available Multi-Center Database for Critical Care Research.” Scientific Data 5 (September 11, 2018): 180178. © 2018 The Authors https://orcid.org/0000-0002-5676-7898 https://orcid.org/0000-0002-8735-3014 https://orcid.org/0000-0001-8665-2429 https://orcid.org/0000-0002-6318-2978 http://dx.doi.org/10.1038/sdata.2018.178 Scientific Data Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf Nature Publishing Group Nature |
| spellingShingle | Pollard, Tom Joseph Johnson, Alistair Edward William Raffa, Jesse D Celi, Leo Anthony G. Mark, Roger G Badawi, Omar The eICU Collaborative Research Database, a freely available multi-center database for critical care research |
| title | The eICU Collaborative Research Database, a freely available multi-center database for critical care research |
| title_full | The eICU Collaborative Research Database, a freely available multi-center database for critical care research |
| title_fullStr | The eICU Collaborative Research Database, a freely available multi-center database for critical care research |
| title_full_unstemmed | The eICU Collaborative Research Database, a freely available multi-center database for critical care research |
| title_short | The eICU Collaborative Research Database, a freely available multi-center database for critical care research |
| title_sort | eicu collaborative research database a freely available multi center database for critical care research |
| url | http://hdl.handle.net/1721.1/121122 https://orcid.org/0000-0002-5676-7898 https://orcid.org/0000-0002-8735-3014 https://orcid.org/0000-0001-8665-2429 https://orcid.org/0000-0002-6318-2978 |
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