Decision making in high dependency environments — can we learn from modern industrial management models? View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1994-02

AUTHORS

W. Friesdorf, S. Konichezky, F. Groß-Alltag, D. Geva, M. Nathe, S. Schraag

ABSTRACT

Increasing complexity and increased restraints affect the task of patient management in High Dependency Environments, which has become intricate and difficult. Medical knowledge alone is not enough any longer for proper patient care. Management ability and facilities are required. Current medical knowledge should be expanded by management methods and techniques. By looking at management models in the industry, we found striking similarities between the industrial management situation and clinical patient management. Both systems share complexity in structure, complexity in interaction and evolutionary character. Clinical patient management can be compared with a navigation process. The patient is steered by a control system, and course information is given by control dimensions. Clinical patient management becomes a succession of steering activities influenced by the surrounding systems. This system can be structured in three interacting layers: an operational level, in which information is collected and actions executed; a strategic level in which strategies based on goal-oriented mental anticipation of a probabilistic system are formulated; and a normative level at which principles and norms are defined. It is possible then, to define the tools which have to be developed and implemented to improve clinical management capabilities. At the operational level these tools are addressed to improve clinical decision making by providing information in an ergonomical way. They include artifact elimination, data reduction, increase in meaningful information and unwanted data filtering. At the strategic level, tools to check the feasibility of the applied strategies have to be developed, such as: ideal patient course plots and increased training in strategic thinking.(ABSTRACT TRUNCATED AT 250 WORDS) More... »

PAGES

11-17

References to SciGraph publications

  • 1991-12. A strategy for development of computerized critical care decision support systems in INTERNATIONAL JOURNAL OF CLINICAL MONITORING AND COMPUTING
  • 1992. Patient Data Management in COMPUTING AND MONITORING IN ANESTHESIA AND INTENSIVE CARE
  • 1991-12. Performance of computerized protocols for the management of arterial oxygenation in an intensive care unit in INTERNATIONAL JOURNAL OF CLINICAL MONITORING AND COMPUTING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/bf01132839

    DOI

    http://dx.doi.org/10.1007/bf01132839

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1032660193

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/8195654


    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/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Decision Making", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Decision Support Techniques", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Equipment and Supplies", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Industry", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Medical Laboratory Science", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Models, Theoretical", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Monitoring, Physiologic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Operations Research", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Patient Care Planning", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Probability", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Problem Solving", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Systems Analysis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Total Quality Management", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University of Ulm", 
              "id": "https://www.grid.ac/institutes/grid.6582.9", 
              "name": [
                "Section for Anaesthesia Technology and Systems Engineering, Clinic for Anaesthesiology, University of Ulm, 7900, Ulm, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Friesdorf", 
            "givenName": "W.", 
            "id": "sg:person.01362030735.42", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362030735.42"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Kaplan Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.415014.5", 
              "name": [
                "I.C.U., Kaplan Hospital, Rehovot, Israel"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Konichezky", 
            "givenName": "S.", 
            "id": "sg:person.0675667326.21", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675667326.21"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Ulm", 
              "id": "https://www.grid.ac/institutes/grid.6582.9", 
              "name": [
                "Section for Anaesthesia Technology and Systems Engineering, Clinic for Anaesthesiology, University of Ulm, 7900, Ulm, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gro\u00df-Alltag", 
            "givenName": "F.", 
            "id": "sg:person.01307455020.16", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01307455020.16"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Kaplan Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.415014.5", 
              "name": [
                "I.C.U., Kaplan Hospital, Rehovot, Israel"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Geva", 
            "givenName": "D.", 
            "id": "sg:person.015611360044.80", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015611360044.80"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Ulm", 
              "id": "https://www.grid.ac/institutes/grid.6582.9", 
              "name": [
                "Section for Anaesthesia Technology and Systems Engineering, Clinic for Anaesthesiology, University of Ulm, 7900, Ulm, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nathe", 
            "givenName": "M.", 
            "id": "sg:person.01060231126.50", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01060231126.50"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Ulm", 
              "id": "https://www.grid.ac/institutes/grid.6582.9", 
              "name": [
                "Section for Anaesthesia Technology and Systems Engineering, Clinic for Anaesthesiology, University of Ulm, 7900, Ulm, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Schraag", 
            "givenName": "S.", 
            "id": "sg:person.01017440237.35", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01017440237.35"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/bf01739128", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006192456", 
              "https://doi.org/10.1007/bf01739128"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01739128", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006192456", 
              "https://doi.org/10.1007/bf01739128"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/sim.4780091104", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006963664"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-4-431-68201-1_43", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023746171", 
              "https://doi.org/10.1007/978-4-431-68201-1_43"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01739127", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033567378", 
              "https://doi.org/10.1007/bf01739127"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01739127", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033567378", 
              "https://doi.org/10.1007/bf01739127"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/0272989x8800800404", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040106306"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/0272989x8800800404", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040106306"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.7326/0003-4819-108-3-435", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1073692495"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "1994-02", 
        "datePublishedReg": "1994-02-01", 
        "description": "Increasing complexity and increased restraints affect the task of patient management in High Dependency Environments, which has become intricate and difficult. Medical knowledge alone is not enough any longer for proper patient care. Management ability and facilities are required. Current medical knowledge should be expanded by management methods and techniques. By looking at management models in the industry, we found striking similarities between the industrial management situation and clinical patient management. Both systems share complexity in structure, complexity in interaction and evolutionary character. Clinical patient management can be compared with a navigation process. The patient is steered by a control system, and course information is given by control dimensions. Clinical patient management becomes a succession of steering activities influenced by the surrounding systems. This system can be structured in three interacting layers: an operational level, in which information is collected and actions executed; a strategic level in which strategies based on goal-oriented mental anticipation of a probabilistic system are formulated; and a normative level at which principles and norms are defined. It is possible then, to define the tools which have to be developed and implemented to improve clinical management capabilities. At the operational level these tools are addressed to improve clinical decision making by providing information in an ergonomical way. They include artifact elimination, data reduction, increase in meaningful information and unwanted data filtering. At the strategic level, tools to check the feasibility of the applied strategies have to be developed, such as: ideal patient course plots and increased training in strategic thinking.(ABSTRACT TRUNCATED AT 250 WORDS)", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/bf01132839", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1095992", 
            "issn": [
              "0167-9945", 
              "2214-7314"
            ], 
            "name": "International journal of clinical monitoring and computing", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "11"
          }
        ], 
        "name": "Decision making in high dependency environments \u2014 can we learn from modern industrial management models?", 
        "pagination": "11-17", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "9b97041889244284b61dcccc450aed9e3181e09cade9452e18b85b82954b9c24"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "8195654"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "8601284"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/bf01132839"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1032660193"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/bf01132839", 
          "https://app.dimensions.ai/details/publication/pub.1032660193"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T13:28", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000370_0000000370/records_46744_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007/BF01132839"
      }
    ]
     

    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/bf01132839'

    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/bf01132839'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf01132839'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf01132839'


     

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

    184 TRIPLES      21 PREDICATES      49 URIs      35 LITERALS      23 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/bf01132839 schema:about N02ee011e0f114c208317ef7b6106b18a
    2 N0d211bd23c1248d39c8fa0bdcdc6bd64
    3 N13a3444d06fb41618cfdf3280c18039a
    4 N33f07a4afab145659e12ed3d8a4d78d6
    5 N4621b7463ed845dca38d579a7eb19a9d
    6 N4912df4c79c24fd2a385daf95238b446
    7 N562b407e0ce44d518c68ecaab1e14720
    8 N6d98863be52d4e739d413ef09d5d3c15
    9 Na321daae4fba4bb8bac9e89e12f47238
    10 Na4a5cf20dbb14a449d23eecdd1fa3d4f
    11 Naadf7f5d9fc64c079fe3b382038bff01
    12 Ndb64bb4c2be643b9999978ac08e1f7a7
    13 Ne5474b9b8a4b4aa6b0c4678969d59e85
    14 Nebe9ebbaec15408a956cddb000cdea57
    15 anzsrc-for:08
    16 anzsrc-for:0801
    17 schema:author Nf6ac8dcef9ee480295d3a1a4987664b6
    18 schema:citation sg:pub.10.1007/978-4-431-68201-1_43
    19 sg:pub.10.1007/bf01739127
    20 sg:pub.10.1007/bf01739128
    21 https://doi.org/10.1002/sim.4780091104
    22 https://doi.org/10.1177/0272989x8800800404
    23 https://doi.org/10.7326/0003-4819-108-3-435
    24 schema:datePublished 1994-02
    25 schema:datePublishedReg 1994-02-01
    26 schema:description Increasing complexity and increased restraints affect the task of patient management in High Dependency Environments, which has become intricate and difficult. Medical knowledge alone is not enough any longer for proper patient care. Management ability and facilities are required. Current medical knowledge should be expanded by management methods and techniques. By looking at management models in the industry, we found striking similarities between the industrial management situation and clinical patient management. Both systems share complexity in structure, complexity in interaction and evolutionary character. Clinical patient management can be compared with a navigation process. The patient is steered by a control system, and course information is given by control dimensions. Clinical patient management becomes a succession of steering activities influenced by the surrounding systems. This system can be structured in three interacting layers: an operational level, in which information is collected and actions executed; a strategic level in which strategies based on goal-oriented mental anticipation of a probabilistic system are formulated; and a normative level at which principles and norms are defined. It is possible then, to define the tools which have to be developed and implemented to improve clinical management capabilities. At the operational level these tools are addressed to improve clinical decision making by providing information in an ergonomical way. They include artifact elimination, data reduction, increase in meaningful information and unwanted data filtering. At the strategic level, tools to check the feasibility of the applied strategies have to be developed, such as: ideal patient course plots and increased training in strategic thinking.(ABSTRACT TRUNCATED AT 250 WORDS)
    27 schema:genre research_article
    28 schema:inLanguage en
    29 schema:isAccessibleForFree false
    30 schema:isPartOf N17321a538ff8451c9ccf112cd414343e
    31 Ncf0822032dd745e38462d4630a9ff8a1
    32 sg:journal.1095992
    33 schema:name Decision making in high dependency environments — can we learn from modern industrial management models?
    34 schema:pagination 11-17
    35 schema:productId N07ddb5bc315a492eb1ab50b8d1928347
    36 N14346d350c8e494fb4e1b7fe0f740a05
    37 N14a3a55359b84de18f6bd4bec370408d
    38 N1664c5b6c7804bbdbe018126cb1f371a
    39 N31c8b06a5e7446bda7c6dc49fc3fa269
    40 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032660193
    41 https://doi.org/10.1007/bf01132839
    42 schema:sdDatePublished 2019-04-11T13:28
    43 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    44 schema:sdPublisher N36710a40cb33488196c8a256b0f67d57
    45 schema:url http://link.springer.com/10.1007/BF01132839
    46 sgo:license sg:explorer/license/
    47 sgo:sdDataset articles
    48 rdf:type schema:ScholarlyArticle
    49 N02ee011e0f114c208317ef7b6106b18a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    50 schema:name Total Quality Management
    51 rdf:type schema:DefinedTerm
    52 N07ddb5bc315a492eb1ab50b8d1928347 schema:name readcube_id
    53 schema:value 9b97041889244284b61dcccc450aed9e3181e09cade9452e18b85b82954b9c24
    54 rdf:type schema:PropertyValue
    55 N0cc6470d5c1340aa85123b0ed88caf87 rdf:first sg:person.0675667326.21
    56 rdf:rest Na0d40817d1c94e22a3e367b0c1e032e2
    57 N0d211bd23c1248d39c8fa0bdcdc6bd64 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    58 schema:name Patient Care Planning
    59 rdf:type schema:DefinedTerm
    60 N13a3444d06fb41618cfdf3280c18039a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    61 schema:name Decision Making
    62 rdf:type schema:DefinedTerm
    63 N14346d350c8e494fb4e1b7fe0f740a05 schema:name doi
    64 schema:value 10.1007/bf01132839
    65 rdf:type schema:PropertyValue
    66 N14a3a55359b84de18f6bd4bec370408d schema:name pubmed_id
    67 schema:value 8195654
    68 rdf:type schema:PropertyValue
    69 N1664c5b6c7804bbdbe018126cb1f371a schema:name nlm_unique_id
    70 schema:value 8601284
    71 rdf:type schema:PropertyValue
    72 N17321a538ff8451c9ccf112cd414343e schema:issueNumber 1
    73 rdf:type schema:PublicationIssue
    74 N31c8b06a5e7446bda7c6dc49fc3fa269 schema:name dimensions_id
    75 schema:value pub.1032660193
    76 rdf:type schema:PropertyValue
    77 N33f07a4afab145659e12ed3d8a4d78d6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    78 schema:name Decision Support Techniques
    79 rdf:type schema:DefinedTerm
    80 N36710a40cb33488196c8a256b0f67d57 schema:name Springer Nature - SN SciGraph project
    81 rdf:type schema:Organization
    82 N4621b7463ed845dca38d579a7eb19a9d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    83 schema:name Systems Analysis
    84 rdf:type schema:DefinedTerm
    85 N4912df4c79c24fd2a385daf95238b446 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    86 schema:name Probability
    87 rdf:type schema:DefinedTerm
    88 N562b407e0ce44d518c68ecaab1e14720 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    89 schema:name Equipment and Supplies
    90 rdf:type schema:DefinedTerm
    91 N6d98863be52d4e739d413ef09d5d3c15 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    92 schema:name Medical Laboratory Science
    93 rdf:type schema:DefinedTerm
    94 Na0d40817d1c94e22a3e367b0c1e032e2 rdf:first sg:person.01307455020.16
    95 rdf:rest Ndf393fb5283a4636b7ad023c7ee464a7
    96 Na321daae4fba4bb8bac9e89e12f47238 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    97 schema:name Operations Research
    98 rdf:type schema:DefinedTerm
    99 Na4a5cf20dbb14a449d23eecdd1fa3d4f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    100 schema:name Models, Theoretical
    101 rdf:type schema:DefinedTerm
    102 Naadf7f5d9fc64c079fe3b382038bff01 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    103 schema:name Monitoring, Physiologic
    104 rdf:type schema:DefinedTerm
    105 Nc250e9daee1f4d7fa8f271a71ba20bc7 rdf:first sg:person.01060231126.50
    106 rdf:rest Nd135b607893f42efa6c1ea0fdf4f0529
    107 Ncf0822032dd745e38462d4630a9ff8a1 schema:volumeNumber 11
    108 rdf:type schema:PublicationVolume
    109 Nd135b607893f42efa6c1ea0fdf4f0529 rdf:first sg:person.01017440237.35
    110 rdf:rest rdf:nil
    111 Ndb64bb4c2be643b9999978ac08e1f7a7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    112 schema:name Problem Solving
    113 rdf:type schema:DefinedTerm
    114 Ndf393fb5283a4636b7ad023c7ee464a7 rdf:first sg:person.015611360044.80
    115 rdf:rest Nc250e9daee1f4d7fa8f271a71ba20bc7
    116 Ne5474b9b8a4b4aa6b0c4678969d59e85 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    117 schema:name Humans
    118 rdf:type schema:DefinedTerm
    119 Nebe9ebbaec15408a956cddb000cdea57 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    120 schema:name Industry
    121 rdf:type schema:DefinedTerm
    122 Nf6ac8dcef9ee480295d3a1a4987664b6 rdf:first sg:person.01362030735.42
    123 rdf:rest N0cc6470d5c1340aa85123b0ed88caf87
    124 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    125 schema:name Information and Computing Sciences
    126 rdf:type schema:DefinedTerm
    127 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    128 schema:name Artificial Intelligence and Image Processing
    129 rdf:type schema:DefinedTerm
    130 sg:journal.1095992 schema:issn 0167-9945
    131 2214-7314
    132 schema:name International journal of clinical monitoring and computing
    133 rdf:type schema:Periodical
    134 sg:person.01017440237.35 schema:affiliation https://www.grid.ac/institutes/grid.6582.9
    135 schema:familyName Schraag
    136 schema:givenName S.
    137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01017440237.35
    138 rdf:type schema:Person
    139 sg:person.01060231126.50 schema:affiliation https://www.grid.ac/institutes/grid.6582.9
    140 schema:familyName Nathe
    141 schema:givenName M.
    142 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01060231126.50
    143 rdf:type schema:Person
    144 sg:person.01307455020.16 schema:affiliation https://www.grid.ac/institutes/grid.6582.9
    145 schema:familyName Groß-Alltag
    146 schema:givenName F.
    147 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01307455020.16
    148 rdf:type schema:Person
    149 sg:person.01362030735.42 schema:affiliation https://www.grid.ac/institutes/grid.6582.9
    150 schema:familyName Friesdorf
    151 schema:givenName W.
    152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362030735.42
    153 rdf:type schema:Person
    154 sg:person.015611360044.80 schema:affiliation https://www.grid.ac/institutes/grid.415014.5
    155 schema:familyName Geva
    156 schema:givenName D.
    157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015611360044.80
    158 rdf:type schema:Person
    159 sg:person.0675667326.21 schema:affiliation https://www.grid.ac/institutes/grid.415014.5
    160 schema:familyName Konichezky
    161 schema:givenName S.
    162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675667326.21
    163 rdf:type schema:Person
    164 sg:pub.10.1007/978-4-431-68201-1_43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023746171
    165 https://doi.org/10.1007/978-4-431-68201-1_43
    166 rdf:type schema:CreativeWork
    167 sg:pub.10.1007/bf01739127 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033567378
    168 https://doi.org/10.1007/bf01739127
    169 rdf:type schema:CreativeWork
    170 sg:pub.10.1007/bf01739128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006192456
    171 https://doi.org/10.1007/bf01739128
    172 rdf:type schema:CreativeWork
    173 https://doi.org/10.1002/sim.4780091104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006963664
    174 rdf:type schema:CreativeWork
    175 https://doi.org/10.1177/0272989x8800800404 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040106306
    176 rdf:type schema:CreativeWork
    177 https://doi.org/10.7326/0003-4819-108-3-435 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073692495
    178 rdf:type schema:CreativeWork
    179 https://www.grid.ac/institutes/grid.415014.5 schema:alternateName Kaplan Medical Center
    180 schema:name I.C.U., Kaplan Hospital, Rehovot, Israel
    181 rdf:type schema:Organization
    182 https://www.grid.ac/institutes/grid.6582.9 schema:alternateName University of Ulm
    183 schema:name Section for Anaesthesia Technology and Systems Engineering, Clinic for Anaesthesiology, University of Ulm, 7900, Ulm, Germany
    184 rdf:type schema:Organization
     




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


    ...