Human errors in a multidisciplinary intensive care unit: a 1-year prospective study View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2000-12-06

AUTHORS

David Bracco, Jean-Baptiste Favre, Bruno Bissonnette, Jean-Blaise Wasserfallen, Jean-Pierre Revelly, Patrick Ravussin, René Chioléro

ABSTRACT

Objectives: To determine the incidence and identify risk factors of critical incidents in an ICU. Design: Prospective observational study of consecutive patients admitted over 1 year to an ICU. Critical incidents were recorded using predefined criteria. Their causes and consequences were analysed. The causes were classified as technical failure, patient's underlying disease, or human errors (subclassified as planning, execution, or surveillance). The consequences were classified as lethal, leading to sequelae, prolonging the ICU stay, minor, or without consequences. The correlation between critical incidents and specific factors including patient's diagnosis and severity score, use of monitoring and therapeutic modalities was analysed by uni- and multivariate analysis. Setting: An 11-bed multidisciplinary ICU in a non-university teaching hospital. Patients: 1024 consecutive patients admitted to the ICU. Intervention: None. Measurementsandmainresults: The median length of ICU stay by the 1024 patients was 1.9 days. Of the 777 critical incidents reported 2% were due to technical failure and 67% to secondary to underlying disease. There were 241 human errors (31%) in 161 patients, evenly distributed among planning (n=75), execution (n=88), and surveillance (n=78). One error was lethal, two led to sequelae, 26% prolonged ICU stay, and 57% were minor and 16% without consequence. Errors with significant consequences were related mainly to planning. Human errors prolonged ICU stay by 425 patient-days, amounting to 15% of ICU time. Readmitted patients had more frequent and more severe critical incidents than primarily admitted patients. Conclusions: Critical incidents add morbidity, workload, and financial burden. A substantial proportion of them are related to human factors with dire consequences. Efforts must focus on timely, appropriate care to avoid planning and execution mishaps at the beginning of the ICU stay; surveillance intensity must be maintained, specially after the fourth day. More... »

PAGES

137-145

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s001340000751

DOI

http://dx.doi.org/10.1007/s001340000751

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1046548748

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/11280625


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adolescent", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Analysis of Variance", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child, Preschool", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hospital Costs", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hospital Mortality", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Intensive Care Units", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Length of Stay", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Medical Errors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Multivariate Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Switzerland", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Task Performance and Analysis", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Anaesthesiology and Critical Care, Sion Hospital, Sion, Switzerland, Switzerland", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Anaesthesiology and Critical Care, Sion Hospital, Sion, Switzerland, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bracco", 
        "givenName": "David", 
        "id": "sg:person.0621727056.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621727056.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Anaesthesiology and Critical Care, Sion Hospital, Sion, Switzerland, Switzerland", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Anaesthesiology and Critical Care, Sion Hospital, Sion, Switzerland, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Favre", 
        "givenName": "Jean-Baptiste", 
        "id": "sg:person.016007110022.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016007110022.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Anaesthesiology, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada, Canada", 
          "id": "http://www.grid.ac/institutes/grid.42327.30", 
          "name": [
            "Department of Anaesthesiology, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bissonnette", 
        "givenName": "Bruno", 
        "id": "sg:person.01320367534.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01320367534.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Medical Direction, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland, Switzerland", 
          "id": "http://www.grid.ac/institutes/grid.8515.9", 
          "name": [
            "Medical Direction, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wasserfallen", 
        "givenName": "Jean-Blaise", 
        "id": "sg:person.0722755164.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722755164.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Surgical Intensive Care Unit, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland, Switzerland", 
          "id": "http://www.grid.ac/institutes/grid.8515.9", 
          "name": [
            "Surgical Intensive Care Unit, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Revelly", 
        "givenName": "Jean-Pierre", 
        "id": "sg:person.0725460421.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725460421.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Anaesthesiology and Critical Care, Sion Hospital, Sion, Switzerland, Switzerland", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Anaesthesiology and Critical Care, Sion Hospital, Sion, Switzerland, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ravussin", 
        "givenName": "Patrick", 
        "id": "sg:person.0754546441.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754546441.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Surgical Intensive Care Unit, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland, Switzerland", 
          "id": "http://www.grid.ac/institutes/grid.8515.9", 
          "name": [
            "Surgical Intensive Care Unit, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chiol\u00e9ro", 
        "givenName": "Ren\u00e9", 
        "id": "sg:person.01121362247.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01121362247.08"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf02600508", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041068554", 
          "https://doi.org/10.1007/bf02600508"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001340050014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028034476", 
          "https://doi.org/10.1007/s001340050014"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2000-12-06", 
    "datePublishedReg": "2000-12-06", 
    "description": "Objectives: To determine the incidence and identify risk factors of critical incidents in an ICU. Design: Prospective observational study of consecutive patients admitted over 1\u00a0year to an ICU. Critical incidents were recorded using predefined criteria. Their causes and consequences were analysed. The causes were classified as technical failure, patient's underlying disease, or human errors (subclassified as planning, execution, or surveillance). The consequences were classified as lethal, leading to sequelae, prolonging the ICU stay, minor, or without consequences. The correlation between critical incidents and specific factors including patient's diagnosis and severity score, use of monitoring and therapeutic modalities was analysed by uni- and multivariate analysis. Setting: An 11-bed multidisciplinary ICU in a non-university teaching hospital. Patients: 1024 consecutive patients admitted to the ICU. Intervention: None. Measurementsandmainresults: The median length of ICU stay by the 1024 patients was 1.9\u00a0days. Of the 777 critical incidents reported 2% were due to technical failure and 67% to secondary to underlying disease. There were 241 human errors (31%) in 161 patients, evenly distributed among planning (n=75), execution (n=88), and surveillance (n=78). One error was lethal, two led to sequelae, 26% prolonged ICU stay, and 57% were minor and 16% without consequence. Errors with significant consequences were related mainly to planning. Human errors prolonged ICU stay by 425 patient-days, amounting to 15% of ICU time. Readmitted patients had more frequent and more severe critical incidents than primarily admitted patients. Conclusions: Critical incidents add morbidity, workload, and financial burden. A substantial proportion of them are related to human factors with dire consequences. Efforts must focus on timely, appropriate care to avoid planning and execution mishaps at the beginning of the ICU stay; surveillance intensity must be maintained, specially after the fourth day.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s001340000751", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1313639", 
        "issn": [
          "0342-4642", 
          "1432-1238"
        ], 
        "name": "Intensive Care Medicine", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "27"
      }
    ], 
    "keywords": [
      "ICU stay", 
      "consecutive patients", 
      "multidisciplinary intensive care unit", 
      "technical failure", 
      "prospective observational study", 
      "non-university teaching hospitals", 
      "intensive care unit", 
      "ICU time", 
      "multidisciplinary ICU", 
      "median length", 
      "care unit", 
      "prospective study", 
      "severity score", 
      "risk factors", 
      "teaching hospital", 
      "observational study", 
      "therapeutic modalities", 
      "ICU", 
      "appropriate care", 
      "patients", 
      "multivariate analysis", 
      "patient diagnosis", 
      "stay", 
      "surveillance intensity", 
      "fourth day", 
      "substantial proportion", 
      "financial burden", 
      "sequelae", 
      "disease", 
      "diagnosis", 
      "critical incidents", 
      "cause", 
      "days", 
      "use of monitoring", 
      "specific factors", 
      "morbidity", 
      "failure", 
      "hospital", 
      "factors", 
      "incidence", 
      "care", 
      "dire consequences", 
      "modalities", 
      "burden", 
      "scores", 
      "surveillance", 
      "study", 
      "significant consequences", 
      "consequences", 
      "years", 
      "proportion", 
      "incidents", 
      "criteria", 
      "human error", 
      "mishaps", 
      "correlation", 
      "monitoring", 
      "planning", 
      "use", 
      "units", 
      "time", 
      "workload", 
      "analysis", 
      "length", 
      "beginning", 
      "efforts", 
      "intensity", 
      "human factors", 
      "error", 
      "execution"
    ], 
    "name": "Human errors in a multidisciplinary intensive care unit: a 1-year prospective study", 
    "pagination": "137-145", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1046548748"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s001340000751"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "11280625"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s001340000751", 
      "https://app.dimensions.ai/details/publication/pub.1046548748"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-11-24T20:50", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/article/article_340.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s001340000751"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s001340000751'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s001340000751'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s001340000751'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s001340000751'


 

This table displays all metadata directly associated to this object as RDF triples.

273 TRIPLES      21 PREDICATES      118 URIs      108 LITERALS      28 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s001340000751 schema:about N020d1042aaa6486b9979ad72c9bb9a08
2 N0a03fd71dff8403ba0f32a064b23aac2
3 N14a3784d431f4d8a8fccf97c55b158e2
4 N2b714e4a68b94322ac2127f56610cacf
5 N2f192f929f4e4cfb88acda5a65c60c98
6 N3c4a5787739946d3ba739bd092e3b90b
7 N446838e74ece4f718c36f07ff6371175
8 N70a9f5fb37b5478eb3db2174356b700f
9 N726ee797527148beb600881df687bf07
10 N75e588d1a9b54fc19a95bd6f25b5216c
11 N76533278c0884f399f7e009e492c1bc5
12 N90abed64bfab4fcca2464fa6483bc35e
13 Na50798cf4715466c866da4c49743f581
14 Na6d93c64630d4a0482dae7d051b677fd
15 Nbf2cd7c2acbb447396b26ed7edb973e9
16 Nc40d4ec950784426a3faff5c97b9799a
17 Nc492b018cae64581b23ccaaf49129b6e
18 Ne5c9419223bf403d86b44a0c8a2c2aa4
19 Neaf58aa2044449cb9073d3c9b8430f9f
20 Nec1da5aa41ea4892ac024ceb1633a74d
21 Nf1c340a9c2dd438b815f4cd13016061a
22 anzsrc-for:11
23 anzsrc-for:1103
24 schema:author Necdde90743a8441f98cdf507840807d4
25 schema:citation sg:pub.10.1007/bf02600508
26 sg:pub.10.1007/s001340050014
27 schema:datePublished 2000-12-06
28 schema:datePublishedReg 2000-12-06
29 schema:description Objectives: To determine the incidence and identify risk factors of critical incidents in an ICU. Design: Prospective observational study of consecutive patients admitted over 1 year to an ICU. Critical incidents were recorded using predefined criteria. Their causes and consequences were analysed. The causes were classified as technical failure, patient's underlying disease, or human errors (subclassified as planning, execution, or surveillance). The consequences were classified as lethal, leading to sequelae, prolonging the ICU stay, minor, or without consequences. The correlation between critical incidents and specific factors including patient's diagnosis and severity score, use of monitoring and therapeutic modalities was analysed by uni- and multivariate analysis. Setting: An 11-bed multidisciplinary ICU in a non-university teaching hospital. Patients: 1024 consecutive patients admitted to the ICU. Intervention: None. Measurementsandmainresults: The median length of ICU stay by the 1024 patients was 1.9 days. Of the 777 critical incidents reported 2% were due to technical failure and 67% to secondary to underlying disease. There were 241 human errors (31%) in 161 patients, evenly distributed among planning (n=75), execution (n=88), and surveillance (n=78). One error was lethal, two led to sequelae, 26% prolonged ICU stay, and 57% were minor and 16% without consequence. Errors with significant consequences were related mainly to planning. Human errors prolonged ICU stay by 425 patient-days, amounting to 15% of ICU time. Readmitted patients had more frequent and more severe critical incidents than primarily admitted patients. Conclusions: Critical incidents add morbidity, workload, and financial burden. A substantial proportion of them are related to human factors with dire consequences. Efforts must focus on timely, appropriate care to avoid planning and execution mishaps at the beginning of the ICU stay; surveillance intensity must be maintained, specially after the fourth day.
30 schema:genre article
31 schema:isAccessibleForFree false
32 schema:isPartOf Nb25fac7a3cc64c258804b84f1f9c927b
33 Nf8354664df7a46d1806dced53fb48cd5
34 sg:journal.1313639
35 schema:keywords ICU
36 ICU stay
37 ICU time
38 analysis
39 appropriate care
40 beginning
41 burden
42 care
43 care unit
44 cause
45 consecutive patients
46 consequences
47 correlation
48 criteria
49 critical incidents
50 days
51 diagnosis
52 dire consequences
53 disease
54 efforts
55 error
56 execution
57 factors
58 failure
59 financial burden
60 fourth day
61 hospital
62 human error
63 human factors
64 incidence
65 incidents
66 intensity
67 intensive care unit
68 length
69 median length
70 mishaps
71 modalities
72 monitoring
73 morbidity
74 multidisciplinary ICU
75 multidisciplinary intensive care unit
76 multivariate analysis
77 non-university teaching hospitals
78 observational study
79 patient diagnosis
80 patients
81 planning
82 proportion
83 prospective observational study
84 prospective study
85 risk factors
86 scores
87 sequelae
88 severity score
89 significant consequences
90 specific factors
91 stay
92 study
93 substantial proportion
94 surveillance
95 surveillance intensity
96 teaching hospital
97 technical failure
98 therapeutic modalities
99 time
100 units
101 use
102 use of monitoring
103 workload
104 years
105 schema:name Human errors in a multidisciplinary intensive care unit: a 1-year prospective study
106 schema:pagination 137-145
107 schema:productId N4b14a212760140779ec90ddbdf40f26d
108 N8681349e4bde4babb34cc80bd10d40ef
109 N9a0b4f82f6b440a88ff1635eb2f49677
110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046548748
111 https://doi.org/10.1007/s001340000751
112 schema:sdDatePublished 2022-11-24T20:50
113 schema:sdLicense https://scigraph.springernature.com/explorer/license/
114 schema:sdPublisher N917c2343a0784248a934d32874a93eba
115 schema:url https://doi.org/10.1007/s001340000751
116 sgo:license sg:explorer/license/
117 sgo:sdDataset articles
118 rdf:type schema:ScholarlyArticle
119 N020d1042aaa6486b9979ad72c9bb9a08 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Aged
121 rdf:type schema:DefinedTerm
122 N0a03fd71dff8403ba0f32a064b23aac2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Adult
124 rdf:type schema:DefinedTerm
125 N14a3784d431f4d8a8fccf97c55b158e2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Female
127 rdf:type schema:DefinedTerm
128 N16066d56356641f687ff4e5dc2e755f4 rdf:first sg:person.016007110022.16
129 rdf:rest Ncbe3dd87bb804d319515618afae9d20d
130 N2b714e4a68b94322ac2127f56610cacf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Task Performance and Analysis
132 rdf:type schema:DefinedTerm
133 N2f192f929f4e4cfb88acda5a65c60c98 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Length of Stay
135 rdf:type schema:DefinedTerm
136 N3c4a5787739946d3ba739bd092e3b90b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Medical Errors
138 rdf:type schema:DefinedTerm
139 N446838e74ece4f718c36f07ff6371175 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Adolescent
141 rdf:type schema:DefinedTerm
142 N4b14a212760140779ec90ddbdf40f26d schema:name dimensions_id
143 schema:value pub.1046548748
144 rdf:type schema:PropertyValue
145 N50c64ab959b34e4388fc057b59918158 rdf:first sg:person.0722755164.85
146 rdf:rest Ne8518dbe1e2343b589230c5f69ca00fd
147 N70a9f5fb37b5478eb3db2174356b700f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Risk
149 rdf:type schema:DefinedTerm
150 N726ee797527148beb600881df687bf07 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Child
152 rdf:type schema:DefinedTerm
153 N75e588d1a9b54fc19a95bd6f25b5216c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Multivariate Analysis
155 rdf:type schema:DefinedTerm
156 N76533278c0884f399f7e009e492c1bc5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Humans
158 rdf:type schema:DefinedTerm
159 N84ad939d92fb416da4bdfc3fa33e4436 rdf:first sg:person.0754546441.10
160 rdf:rest Nf661e45b370b4126bbe78ea15cb21855
161 N8681349e4bde4babb34cc80bd10d40ef schema:name pubmed_id
162 schema:value 11280625
163 rdf:type schema:PropertyValue
164 N90abed64bfab4fcca2464fa6483bc35e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Middle Aged
166 rdf:type schema:DefinedTerm
167 N917c2343a0784248a934d32874a93eba schema:name Springer Nature - SN SciGraph project
168 rdf:type schema:Organization
169 N9a0b4f82f6b440a88ff1635eb2f49677 schema:name doi
170 schema:value 10.1007/s001340000751
171 rdf:type schema:PropertyValue
172 Na50798cf4715466c866da4c49743f581 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Hospital Mortality
174 rdf:type schema:DefinedTerm
175 Na6d93c64630d4a0482dae7d051b677fd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
176 schema:name Analysis of Variance
177 rdf:type schema:DefinedTerm
178 Nb25fac7a3cc64c258804b84f1f9c927b schema:volumeNumber 27
179 rdf:type schema:PublicationVolume
180 Nbf2cd7c2acbb447396b26ed7edb973e9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
181 schema:name Aged, 80 and over
182 rdf:type schema:DefinedTerm
183 Nc40d4ec950784426a3faff5c97b9799a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
184 schema:name Prospective Studies
185 rdf:type schema:DefinedTerm
186 Nc492b018cae64581b23ccaaf49129b6e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
187 schema:name Child, Preschool
188 rdf:type schema:DefinedTerm
189 Ncbe3dd87bb804d319515618afae9d20d rdf:first sg:person.01320367534.42
190 rdf:rest N50c64ab959b34e4388fc057b59918158
191 Ne5c9419223bf403d86b44a0c8a2c2aa4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
192 schema:name Male
193 rdf:type schema:DefinedTerm
194 Ne8518dbe1e2343b589230c5f69ca00fd rdf:first sg:person.0725460421.52
195 rdf:rest N84ad939d92fb416da4bdfc3fa33e4436
196 Neaf58aa2044449cb9073d3c9b8430f9f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
197 schema:name Hospital Costs
198 rdf:type schema:DefinedTerm
199 Nec1da5aa41ea4892ac024ceb1633a74d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
200 schema:name Intensive Care Units
201 rdf:type schema:DefinedTerm
202 Necdde90743a8441f98cdf507840807d4 rdf:first sg:person.0621727056.53
203 rdf:rest N16066d56356641f687ff4e5dc2e755f4
204 Nf1c340a9c2dd438b815f4cd13016061a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
205 schema:name Switzerland
206 rdf:type schema:DefinedTerm
207 Nf661e45b370b4126bbe78ea15cb21855 rdf:first sg:person.01121362247.08
208 rdf:rest rdf:nil
209 Nf8354664df7a46d1806dced53fb48cd5 schema:issueNumber 1
210 rdf:type schema:PublicationIssue
211 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
212 schema:name Medical and Health Sciences
213 rdf:type schema:DefinedTerm
214 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
215 schema:name Clinical Sciences
216 rdf:type schema:DefinedTerm
217 sg:journal.1313639 schema:issn 0342-4642
218 1432-1238
219 schema:name Intensive Care Medicine
220 schema:publisher Springer Nature
221 rdf:type schema:Periodical
222 sg:person.01121362247.08 schema:affiliation grid-institutes:grid.8515.9
223 schema:familyName Chioléro
224 schema:givenName René
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01121362247.08
226 rdf:type schema:Person
227 sg:person.01320367534.42 schema:affiliation grid-institutes:grid.42327.30
228 schema:familyName Bissonnette
229 schema:givenName Bruno
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01320367534.42
231 rdf:type schema:Person
232 sg:person.016007110022.16 schema:affiliation grid-institutes:None
233 schema:familyName Favre
234 schema:givenName Jean-Baptiste
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016007110022.16
236 rdf:type schema:Person
237 sg:person.0621727056.53 schema:affiliation grid-institutes:None
238 schema:familyName Bracco
239 schema:givenName David
240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621727056.53
241 rdf:type schema:Person
242 sg:person.0722755164.85 schema:affiliation grid-institutes:grid.8515.9
243 schema:familyName Wasserfallen
244 schema:givenName Jean-Blaise
245 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722755164.85
246 rdf:type schema:Person
247 sg:person.0725460421.52 schema:affiliation grid-institutes:grid.8515.9
248 schema:familyName Revelly
249 schema:givenName Jean-Pierre
250 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725460421.52
251 rdf:type schema:Person
252 sg:person.0754546441.10 schema:affiliation grid-institutes:None
253 schema:familyName Ravussin
254 schema:givenName Patrick
255 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754546441.10
256 rdf:type schema:Person
257 sg:pub.10.1007/bf02600508 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041068554
258 https://doi.org/10.1007/bf02600508
259 rdf:type schema:CreativeWork
260 sg:pub.10.1007/s001340050014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028034476
261 https://doi.org/10.1007/s001340050014
262 rdf:type schema:CreativeWork
263 grid-institutes:None schema:alternateName Department of Anaesthesiology and Critical Care, Sion Hospital, Sion, Switzerland, Switzerland
264 schema:name Department of Anaesthesiology and Critical Care, Sion Hospital, Sion, Switzerland, Switzerland
265 rdf:type schema:Organization
266 grid-institutes:grid.42327.30 schema:alternateName Department of Anaesthesiology, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada, Canada
267 schema:name Department of Anaesthesiology, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada, Canada
268 rdf:type schema:Organization
269 grid-institutes:grid.8515.9 schema:alternateName Medical Direction, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland, Switzerland
270 Surgical Intensive Care Unit, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland, Switzerland
271 schema:name Medical Direction, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland, Switzerland
272 Surgical Intensive Care Unit, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland, Switzerland
273 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...