Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example
Critical care medicine is a natural environment for machine learning approaches to improve outcomes for critically ill patients as admissions to ICUs generate vast amounts of data. However, technical, legal, ethical, and privacy concerns have so far limited the critical care medicine community from...
Uložené v:
| Vydané v: | Critical care medicine Ročník 49; číslo 6; s. e563 |
|---|---|
| Hlavní autori: | , , , , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
United States
01.06.2021
|
| Predmet: | |
| ISSN: | 1530-0293, 1530-0293 |
| On-line prístup: | Zistit podrobnosti o prístupe |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | Critical care medicine is a natural environment for machine learning approaches to improve outcomes for critically ill patients as admissions to ICUs generate vast amounts of data. However, technical, legal, ethical, and privacy concerns have so far limited the critical care medicine community from making these data readily available. The Society of Critical Care Medicine and the European Society of Intensive Care Medicine have identified ICU patient data sharing as one of the priorities under their Joint Data Science Collaboration. To encourage ICUs worldwide to share their patient data responsibly, we now describe the development and release of Amsterdam University Medical Centers Database (AmsterdamUMCdb), the first freely available critical care database in full compliance with privacy laws from both the United States and Europe, as an example of the feasibility of sharing complex critical care data.
University hospital ICU.
Data from ICU patients admitted between 2003 and 2016.
We used a risk-based deidentification strategy to maintain data utility while preserving privacy. In addition, we implemented contractual and governance processes, and a communication strategy. Patient organizations, supporting hospitals, and experts on ethics and privacy audited these processes and the database.
AmsterdamUMCdb contains approximately 1 billion clinical data points from 23,106 admissions of 20,109 patients. The privacy audit concluded that reidentification is not reasonably likely, and AmsterdamUMCdb can therefore be considered as anonymous information, both in the context of the U.S. Health Insurance Portability and Accountability Act and the European General Data Protection Regulation. The ethics audit concluded that responsible data sharing imposes minimal burden, whereas the potential benefit is tremendous.
Technical, legal, ethical, and privacy challenges related to responsible data sharing can be addressed using a multidisciplinary approach. A risk-based deidentification strategy, that complies with both U.S. and European privacy regulations, should be the preferred approach to releasing ICU patient data. This supports the shared Society of Critical Care Medicine and European Society of Intensive Care Medicine vision to improve critical care outcomes through scientific inquiry of vast and combined ICU datasets. |
|---|---|
| AbstractList | Critical care medicine is a natural environment for machine learning approaches to improve outcomes for critically ill patients as admissions to ICUs generate vast amounts of data. However, technical, legal, ethical, and privacy concerns have so far limited the critical care medicine community from making these data readily available. The Society of Critical Care Medicine and the European Society of Intensive Care Medicine have identified ICU patient data sharing as one of the priorities under their Joint Data Science Collaboration. To encourage ICUs worldwide to share their patient data responsibly, we now describe the development and release of Amsterdam University Medical Centers Database (AmsterdamUMCdb), the first freely available critical care database in full compliance with privacy laws from both the United States and Europe, as an example of the feasibility of sharing complex critical care data.
University hospital ICU.
Data from ICU patients admitted between 2003 and 2016.
We used a risk-based deidentification strategy to maintain data utility while preserving privacy. In addition, we implemented contractual and governance processes, and a communication strategy. Patient organizations, supporting hospitals, and experts on ethics and privacy audited these processes and the database.
AmsterdamUMCdb contains approximately 1 billion clinical data points from 23,106 admissions of 20,109 patients. The privacy audit concluded that reidentification is not reasonably likely, and AmsterdamUMCdb can therefore be considered as anonymous information, both in the context of the U.S. Health Insurance Portability and Accountability Act and the European General Data Protection Regulation. The ethics audit concluded that responsible data sharing imposes minimal burden, whereas the potential benefit is tremendous.
Technical, legal, ethical, and privacy challenges related to responsible data sharing can be addressed using a multidisciplinary approach. A risk-based deidentification strategy, that complies with both U.S. and European privacy regulations, should be the preferred approach to releasing ICU patient data. This supports the shared Society of Critical Care Medicine and European Society of Intensive Care Medicine vision to improve critical care outcomes through scientific inquiry of vast and combined ICU datasets. Critical care medicine is a natural environment for machine learning approaches to improve outcomes for critically ill patients as admissions to ICUs generate vast amounts of data. However, technical, legal, ethical, and privacy concerns have so far limited the critical care medicine community from making these data readily available. The Society of Critical Care Medicine and the European Society of Intensive Care Medicine have identified ICU patient data sharing as one of the priorities under their Joint Data Science Collaboration. To encourage ICUs worldwide to share their patient data responsibly, we now describe the development and release of Amsterdam University Medical Centers Database (AmsterdamUMCdb), the first freely available critical care database in full compliance with privacy laws from both the United States and Europe, as an example of the feasibility of sharing complex critical care data.OBJECTIVESCritical care medicine is a natural environment for machine learning approaches to improve outcomes for critically ill patients as admissions to ICUs generate vast amounts of data. However, technical, legal, ethical, and privacy concerns have so far limited the critical care medicine community from making these data readily available. The Society of Critical Care Medicine and the European Society of Intensive Care Medicine have identified ICU patient data sharing as one of the priorities under their Joint Data Science Collaboration. To encourage ICUs worldwide to share their patient data responsibly, we now describe the development and release of Amsterdam University Medical Centers Database (AmsterdamUMCdb), the first freely available critical care database in full compliance with privacy laws from both the United States and Europe, as an example of the feasibility of sharing complex critical care data.University hospital ICU.SETTINGUniversity hospital ICU.Data from ICU patients admitted between 2003 and 2016.SUBJECTSData from ICU patients admitted between 2003 and 2016.We used a risk-based deidentification strategy to maintain data utility while preserving privacy. In addition, we implemented contractual and governance processes, and a communication strategy. Patient organizations, supporting hospitals, and experts on ethics and privacy audited these processes and the database.INTERVENTIONSWe used a risk-based deidentification strategy to maintain data utility while preserving privacy. In addition, we implemented contractual and governance processes, and a communication strategy. Patient organizations, supporting hospitals, and experts on ethics and privacy audited these processes and the database.AmsterdamUMCdb contains approximately 1 billion clinical data points from 23,106 admissions of 20,109 patients. The privacy audit concluded that reidentification is not reasonably likely, and AmsterdamUMCdb can therefore be considered as anonymous information, both in the context of the U.S. Health Insurance Portability and Accountability Act and the European General Data Protection Regulation. The ethics audit concluded that responsible data sharing imposes minimal burden, whereas the potential benefit is tremendous.MEASUREMENTS AND MAIN RESULTSAmsterdamUMCdb contains approximately 1 billion clinical data points from 23,106 admissions of 20,109 patients. The privacy audit concluded that reidentification is not reasonably likely, and AmsterdamUMCdb can therefore be considered as anonymous information, both in the context of the U.S. Health Insurance Portability and Accountability Act and the European General Data Protection Regulation. The ethics audit concluded that responsible data sharing imposes minimal burden, whereas the potential benefit is tremendous.Technical, legal, ethical, and privacy challenges related to responsible data sharing can be addressed using a multidisciplinary approach. A risk-based deidentification strategy, that complies with both U.S. and European privacy regulations, should be the preferred approach to releasing ICU patient data. This supports the shared Society of Critical Care Medicine and European Society of Intensive Care Medicine vision to improve critical care outcomes through scientific inquiry of vast and combined ICU datasets.CONCLUSIONSTechnical, legal, ethical, and privacy challenges related to responsible data sharing can be addressed using a multidisciplinary approach. A risk-based deidentification strategy, that complies with both U.S. and European privacy regulations, should be the preferred approach to releasing ICU patient data. This supports the shared Society of Critical Care Medicine and European Society of Intensive Care Medicine vision to improve critical care outcomes through scientific inquiry of vast and combined ICU datasets. |
| Author | Kaplan, Lewis Bailey, Heatherlee Peppink, Jan M Elbers, Paul W G Churpek, Matthew Sijbrands, Eric J G van der Schaar, Mihaela Clermont, Gilles Cecconi, Maurizio Kesecioglu, Jozef Driessen, Ronald H Ercole, Ari Thoral, Patrick J Kompanje, Erwin J O Girbes, Armand R J |
| Author_xml | – sequence: 1 givenname: Patrick J surname: Thoral fullname: Thoral, Patrick J organization: Department of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Vrije Universiteit, Universiteit van Amsterdam, Amsterdam, The Netherlands – sequence: 2 givenname: Jan M surname: Peppink fullname: Peppink, Jan M organization: Department of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Vrije Universiteit, Universiteit van Amsterdam, Amsterdam, The Netherlands – sequence: 3 givenname: Ronald H surname: Driessen fullname: Driessen, Ronald H organization: Department of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Vrije Universiteit, Universiteit van Amsterdam, Amsterdam, The Netherlands – sequence: 4 givenname: Eric J G surname: Sijbrands fullname: Sijbrands, Eric J G organization: Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands – sequence: 5 givenname: Erwin J O surname: Kompanje fullname: Kompanje, Erwin J O organization: Department of Intensive Care Medicine, Erasmus MC, Rotterdam, The Netherlands – sequence: 6 givenname: Lewis surname: Kaplan fullname: Kaplan, Lewis organization: Executive Committee, Society of Critical Care Medicine, Mount Prospect, IL – sequence: 7 givenname: Heatherlee surname: Bailey fullname: Bailey, Heatherlee organization: Executive Committee, Society of Critical Care Medicine, Mount Prospect, IL – sequence: 8 givenname: Jozef surname: Kesecioglu fullname: Kesecioglu, Jozef organization: Executive Committee, European Society of Intensive Care Medicine, Brussels, Belgium – sequence: 9 givenname: Maurizio surname: Cecconi fullname: Cecconi, Maurizio organization: Department of Anaesthesia and Intensive Care, Humanitas Research Hospital, Humanitas University, Milan, Italy – sequence: 10 givenname: Matthew surname: Churpek fullname: Churpek, Matthew organization: Department of Medicine, University of Wisconsin, Madison, WI – sequence: 11 givenname: Gilles surname: Clermont fullname: Clermont, Gilles organization: Department of Critical Care Medicine, CRISMA Laboratory, University of Pittsburgh, Pittsburgh, PA – sequence: 12 givenname: Mihaela surname: van der Schaar fullname: van der Schaar, Mihaela organization: Alan Turing Institute, London, United Kingdom – sequence: 13 givenname: Ari surname: Ercole fullname: Ercole, Ari organization: Data Science Section, European Society of Intensive Care Medicine, Brussels, Belgium – sequence: 14 givenname: Armand R J surname: Girbes fullname: Girbes, Armand R J organization: Executive Committee, European Society of Intensive Care Medicine, Brussels, Belgium – sequence: 15 givenname: Paul W G surname: Elbers fullname: Elbers, Paul W G organization: Data Science Section, European Society of Intensive Care Medicine, Brussels, Belgium |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33625129$$D View this record in MEDLINE/PubMed |
| BookMark | eNpVkctu2zAQRYkiQZzXHxQFl8nCCR-SKHYXqG7jwEaL2F4blDiqWUikStJB_cn5i7B5weFmCOLg3DvgCTqwzgJCnym5okSK66qaX5G9k0lafELHNOdkTJjkB3v3EToJ4Q8hNMsFP0IjzguWUyaP0eNio7yxv_G0WuFfKhqwEX9TUeF7CIOzwdTdDq-sBo_jBvDCNQbiDrsWV95E06gOV8oDnoM2jbFwPdl6N4Cy--jURkiqB_jI4jtn3uIWCbZNAlzXqdr5VMXZr3iZMm_6EMFr1aceyeGDSdZnx__wVDg9PUtqFQBfvOOreaXrSzz5p_qhgzN02KouwPnrPEWr75NldTue_fwxrW5m4yanshjLspZlToQsm1IUGoABbUUmGc0EbRsildYlp1IXkHGalbLIdMvqWuSi1IRIdoouXryDd3-3EOK6N6GBtJUFtw1rlklOCCdcJPTLK7qte9DrwZte-d367XvYE9YJlrM |
| CitedBy_id | crossref_primary_10_1038_s41597_023_01952_3 crossref_primary_10_1186_s12911_025_03132_2 crossref_primary_10_1186_s13054_023_04307_x crossref_primary_10_1186_s12911_024_02830_7 crossref_primary_10_17116_anaesthesiology202504161 crossref_primary_10_1007_s00134_023_07113_9 crossref_primary_10_1007_s00134_024_07745_5 crossref_primary_10_1097_CCE_0000000000000529 crossref_primary_10_1038_s41598_025_95535_4 crossref_primary_10_1097_CCM_0000000000004931 crossref_primary_10_1145_3636424 crossref_primary_10_1016_j_accpm_2024_101430 crossref_primary_10_1016_j_accpm_2024_101431 crossref_primary_10_3390_jcm12041513 crossref_primary_10_1186_s13054_024_04860_z crossref_primary_10_1136_bmjopen_2021_054092 crossref_primary_10_1007_s00134_023_07226_1 crossref_primary_10_1186_s40001_024_01756_0 crossref_primary_10_1016_j_ajem_2023_09_043 crossref_primary_10_1371_journal_pdig_0000511 crossref_primary_10_1371_journal_pdig_0000599 crossref_primary_10_1145_3514500 crossref_primary_10_2196_38557 crossref_primary_10_2196_63216 crossref_primary_10_1007_s00134_023_07046_3 crossref_primary_10_1007_s11517_024_03143_7 crossref_primary_10_1097_MCC_0000000000001202 crossref_primary_10_1136_bmjhci_2021_100447 crossref_primary_10_3389_fmed_2023_1176192 crossref_primary_10_1002_imm3_70000 crossref_primary_10_1007_s12028_022_01510_6 crossref_primary_10_1016_j_imu_2024_101552 crossref_primary_10_1038_s41597_022_01899_x crossref_primary_10_1371_journal_pone_0300739 crossref_primary_10_1186_s40635_025_00785_1 crossref_primary_10_1186_s13054_024_04954_8 crossref_primary_10_1186_s13054_021_03795_z crossref_primary_10_1007_s10916_024_02107_6 crossref_primary_10_1038_s41430_022_01103_8 crossref_primary_10_3390_ijerph19159136 crossref_primary_10_1371_journal_pone_0304133 crossref_primary_10_1093_gigascience_giad041 crossref_primary_10_1007_s13042_025_02666_1 crossref_primary_10_1097_CCM_0000000000006100 crossref_primary_10_1515_med_2024_1112 crossref_primary_10_1038_s41597_025_05419_5 crossref_primary_10_1016_j_inffus_2025_103455 crossref_primary_10_1016_j_isci_2024_110787 crossref_primary_10_1016_j_compbiomed_2025_110670 crossref_primary_10_1016_j_jcrc_2023_154276 crossref_primary_10_1038_s41746_025_01836_3 crossref_primary_10_1038_s42256_023_00638_0 crossref_primary_10_1097_CCM_0000000000005517 crossref_primary_10_1097_MCC_0000000000001150 crossref_primary_10_1016_j_ijmedinf_2023_105086 crossref_primary_10_1186_s40635_025_00736_w crossref_primary_10_2196_48330 crossref_primary_10_1016_j_jcrc_2025_155205 crossref_primary_10_1080_13561820_2022_2057454 crossref_primary_10_2196_57263 crossref_primary_10_1016_j_artmed_2024_103008 crossref_primary_10_1007_s40620_022_01335_8 crossref_primary_10_1186_s12916_025_04202_y crossref_primary_10_1016_j_iccn_2025_104005 crossref_primary_10_1016_j_medin_2024_502136 crossref_primary_10_1038_s41597_022_01782_9 crossref_primary_10_1007_s00134_025_07848_7 crossref_primary_10_1016_j_bja_2021_03_011 crossref_primary_10_3390_nursrep15050164 crossref_primary_10_3389_fcvm_2022_897709 crossref_primary_10_1016_j_hrtlng_2022_11_005 crossref_primary_10_1016_j_bspc_2022_103779 crossref_primary_10_1016_j_medine_2025_502136 crossref_primary_10_2196_65961 crossref_primary_10_3389_fimmu_2023_1279291 crossref_primary_10_1213_ANE_0000000000006649 crossref_primary_10_1145_3614425 crossref_primary_10_1016_j_jhep_2025_07_003 crossref_primary_10_1002_cpt_2326 crossref_primary_10_1186_s13054_022_03915_3 crossref_primary_10_1186_s40001_025_02903_x crossref_primary_10_1111_aas_14192 crossref_primary_10_1097_CCM_0000000000006359 crossref_primary_10_1016_j_jcrc_2025_155105 crossref_primary_10_1164_rccm_202206_1092OC crossref_primary_10_1016_j_accpm_2023_101248 crossref_primary_10_1136_thorax_2024_222125 crossref_primary_10_1038_s41598_024_61380_0 crossref_primary_10_1136_bmjhci_2021_100495 crossref_primary_10_1038_s41597_023_02256_2 crossref_primary_10_1371_journal_pone_0287398 crossref_primary_10_1186_s40635_024_00615_w crossref_primary_10_1016_j_ijmedinf_2024_105477 crossref_primary_10_1097_MNH_0000000000001112 crossref_primary_10_1016_j_ccrj_2025_100105 crossref_primary_10_1016_j_jclinepi_2024_111342 crossref_primary_10_1038_s41597_024_03164_9 crossref_primary_10_3389_fpubh_2022_852410 crossref_primary_10_1016_j_jcrc_2024_154932 crossref_primary_10_1016_j_artmed_2023_102742 crossref_primary_10_3390_info15010005 crossref_primary_10_1016_j_jbi_2023_104502 crossref_primary_10_1016_j_mcpdig_2025_100200 crossref_primary_10_3389_fmed_2022_961252 crossref_primary_10_1001_jamanetworkopen_2022_46637 crossref_primary_10_1016_j_eclinm_2025_103173 crossref_primary_10_62675_2965_2774_20250403 crossref_primary_10_1007_s00134_023_07153_1 crossref_primary_10_1136_bmjhci_2021_100419 crossref_primary_10_1016_j_jcrc_2025_155123 crossref_primary_10_1016_j_jval_2021_06_018 crossref_primary_10_1371_journal_pone_0315325 crossref_primary_10_1186_s12911_024_02800_z crossref_primary_10_1007_s00063_024_01141_z crossref_primary_10_1007_s00068_022_02045_3 crossref_primary_10_1038_s41746_024_01350_y crossref_primary_10_1097_CCE_0000000000000992 crossref_primary_10_1002_lrh2_10439 |
| ContentType | Journal Article |
| Copyright | Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. |
| Copyright_xml | – notice: Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. |
| CorporateAuthor | Amsterdam University Medical Centers Database (AmsterdamUMCdb) Collaborators and the SCCM/ESICM Joint Data Science Task Force |
| CorporateAuthor_xml | – name: Amsterdam University Medical Centers Database (AmsterdamUMCdb) Collaborators and the SCCM/ESICM Joint Data Science Task Force |
| DBID | CGR CUY CVF ECM EIF NPM 7X8 |
| DOI | 10.1097/CCM.0000000000004916 |
| DatabaseName | Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic |
| DatabaseTitle | MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | no_fulltext_linktorsrc |
| Discipline | Medicine |
| EISSN | 1530-0293 |
| ExternalDocumentID | 33625129 |
| Genre | Research Support, U.S. Gov't, Non-P.H.S Research Support, Non-U.S. Gov't Journal Article Research Support, N.I.H., Extramural |
| GeographicLocations | United States Netherlands |
| GeographicLocations_xml | – name: Netherlands – name: United States |
| GrantInformation_xml | – fundername: NIGMS NIH HHS grantid: R01 GM123193 |
| GroupedDBID | --- .-D .XZ .Z2 01R 0R~ 1J1 354 40H 4Q1 4Q2 4Q3 53G 5GY 5RE 5VS 6J9 6PF 71W 77Y 7O~ AAAAV AAAXR AAGIX AAHPQ AAIQE AAJCS AAMOA AAMTA AAQKA AARTV AASCR AASOK AASXQ AAUEB AAWTL AAXQO AAYEP ABASU ABBUW ABDIG ABJNI ABOCM ABPPZ ABVCZ ABXVJ ABXYN ABZAD ABZZY ACDDN ACDOF ACEWG ACGFO ACGFS ACIJW ACILI ACLDA ACOAL ACWDW ACWRI ACXJB ACXNZ ACZKN ADGGA ADHPY AE3 AE6 AEBDS AENEX AFBFQ AFDTB AFEXH AFMBP AFNMH AFSOK AFUWQ AGINI AHOMT AHQNM AHQVU AHVBC AIJEX AINUH AJCLO AJIOK AJNWD AJZMW AKCTQ AKULP ALKUP ALMA_UNASSIGNED_HOLDINGS ALMTX AMJPA AMKUR AMNEI AOHHW AOQMC BOYCO BQLVK BYPQX C45 CGR CS3 CUY CVF DIWNM DU5 E.X EBS ECM EEVPB EIF ERAAH EX3 F2K F2L F2M F2N F5P FCALG FL- GNXGY GQDEL H0~ HLJTE HZ~ IKREB IKYAY IN~ IPNFZ JF9 JG8 JK3 JK8 K-A K-F K8S KD2 KMI L-C L7B N9A NPM N~7 N~B O9- OAG OAH OB4 OBH ODMTH ODZKP OHH OHYEH OL1 OLB OLG OLH OLU OLV OLY OLZ OPUJH OVD OVDNE OVIDH OVLEI OVOZU OWBYB OWU OWV OWW OWX OWY OWZ OXXIT P2P PONUX RIG RLZ S4R S4S TEORI TSPGW V2I VVN W3M WOQ WOW X3V X3W XXN XYM YCJ YFH YOC YOJ ZFV ZY1 ~9M 7X8 ABPXF ADKSD ADSXY |
| ID | FETCH-LOGICAL-c5196-98b9850798c876dee2e1f74921471fc09add8319d6e43148964df2bb7578d0092 |
| IEDL.DBID | 7X8 |
| ISICitedReferencesCount | 114 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=00003246-202106000-00016&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1530-0293 |
| IngestDate | Mon Sep 08 08:08:19 EDT 2025 Thu Apr 03 07:04:36 EDT 2025 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 6 |
| Language | English |
| License | Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c5196-98b9850798c876dee2e1f74921471fc09add8319d6e43148964df2bb7578d0092 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| OpenAccessLink | https://pubmed.ncbi.nlm.nih.gov/PMC8132908 |
| PMID | 33625129 |
| PQID | 2493003037 |
| PQPubID | 23479 |
| ParticipantIDs | proquest_miscellaneous_2493003037 pubmed_primary_33625129 |
| PublicationCentury | 2000 |
| PublicationDate | 2021-June-01 |
| PublicationDateYYYYMMDD | 2021-06-01 |
| PublicationDate_xml | – month: 06 year: 2021 text: 2021-June-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States |
| PublicationTitle | Critical care medicine |
| PublicationTitleAlternate | Crit Care Med |
| PublicationYear | 2021 |
| References | 34011836 - Crit Care Med. 2021 Jun 1;49(6):1003-1006 |
| References_xml | – reference: 34011836 - Crit Care Med. 2021 Jun 1;49(6):1003-1006 |
| SSID | ssj0014573 |
| Score | 2.6741636 |
| Snippet | Critical care medicine is a natural environment for machine learning approaches to improve outcomes for critically ill patients as admissions to ICUs generate... |
| SourceID | proquest pubmed |
| SourceType | Aggregation Database Index Database |
| StartPage | e563 |
| SubjectTerms | Confidentiality - ethics Confidentiality - legislation & jurisprudence Confidentiality - standards Databases, Factual - ethics Databases, Factual - legislation & jurisprudence Databases, Factual - standards Health Information Exchange - ethics Health Information Exchange - legislation & jurisprudence Health Information Exchange - standards Health Insurance Portability and Accountability Act Hospitals, University - ethics Hospitals, University - legislation & jurisprudence Hospitals, University - standards Humans Intensive Care Units - organization & administration Intensive Care Units - standards Netherlands Societies, Medical - standards United States |
| Title | Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/33625129 https://www.proquest.com/docview/2493003037 |
| Volume | 49 |
| WOSCitedRecordID | wos00003246-202106000-00016&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1ZS8NAEF68EF-874MRfNCH0DT3-iISLSq0FLHQt7LZAwq2qVZFf7L_wplk0-qDIJiHEMLmgJ2d-ebYbxg7iX3ju9KTTiRj1wlMhmsuxCujBLo9niB-wqLZRNxqJd0ub9uA29iWVVY6sVDUKpcUI6-hm-CTRPrxxejJoa5RlF21LTRm2byPUIakOu5OswhBWGSYcVG7jot2rdo6x-NamjZL6kJ7BLwe_Q4yC2PTWPnvb66yZQsz4bKUizU2o4frbLFpE-kb7JOImtFqwW3agXbJrQpX4kXAfVU0-_gBRVMkQIgItrgTcgNVcwSgrUtQvbJWhfW_D53Ux_8cC3d5v_qc1S2QfpfHc0DphcsBkTgoMYBp9QjYxBJQVBpvFS8hSwynk-GdZqqyM7h-F8R8vMk6jeuH9MaxXR8ciWgycniS8QRRKk8kamqltafrJg44NVSqG-ly1MgJKg4VaQQ_QcKjQBkvy4iYXxGF1BabG-ZDvcNAKM-oMKuj1yYCHJyhrxcGnkY3Uxoe-rvsuJrEHq4qSpWIoc5fx73pNO6y7VISeqOS_qPno80nmLT3h6f32ZJHRTBF2OaAzRvUKfqQLci3l_74-agQVzy32s0vpuP05Q |
| linkProvider | ProQuest |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Sharing+ICU+Patient+Data+Responsibly+Under+the+Society+of+Critical+Care+Medicine%2FEuropean+Society+of+Intensive+Care+Medicine+Joint+Data+Science+Collaboration%3A+The+Amsterdam+University+Medical+Centers+Database+%28AmsterdamUMCdb%29+Example&rft.jtitle=Critical+care+medicine&rft.au=Thoral%2C+Patrick+J&rft.au=Peppink%2C+Jan+M&rft.au=Driessen%2C+Ronald+H&rft.au=Sijbrands%2C+Eric+J+G&rft.date=2021-06-01&rft.eissn=1530-0293&rft.volume=49&rft.issue=6&rft.spage=e563&rft_id=info:doi/10.1097%2FCCM.0000000000004916&rft_id=info%3Apmid%2F33625129&rft_id=info%3Apmid%2F33625129&rft.externalDocID=33625129 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1530-0293&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1530-0293&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1530-0293&client=summon |