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  1. AU=Chute Christopher G.
  2. AU="Lemon, Katherine P"
  3. AU="An-Ning Zhang"
  4. AU="Ingerson-Mahar, Joseph"
  5. AU="Marie-Anne Mawhin"
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  1. Article ; Online: Overview of ICD-11 architecture and structure.

    Chute, Christopher G / Çelik, Can

    BMC medical informatics and decision making

    2022  Volume 21, Issue Suppl 6, Page(s) 378

    Abstract: Background: The International Classification of Diseases (ICD) has progressed from a short list of causes of death to become the predominant classification of human diseases, syndromes, and conditions around the world. The World Health Organization has ... ...

    Abstract Background: The International Classification of Diseases (ICD) has progressed from a short list of causes of death to become the predominant classification of human diseases, syndromes, and conditions around the world. The World Health Organization has now explored how the ICD could be revised to leverage the advances in computer science, ontology, and knowledge representation that had accelerated in the twentieth and early twenty-first centuries.
    Methods: Many teams of clinical specialists and domain leaders worked to fundamentally revise the science and knowledge base of ICD-11. Development of the ICD-11 architecturally was a fundamental revision. The architecture for ICD-11 proposed in 2007 included three layers: a semantic network of biomedical concepts (Foundation), a traditional tabulation of hierarchical codes that would derive from that network (Linearization), and a formal ontology that would anchor the meaning of terms in the semantic network. Additionally, each entry in the semantic network would have an associated information model of required and optional content (Content Model).
    Results: This paper describes the innovative architecture developed for ICD-11.
    Conclusion: ICD11 is a revolutionary transformation of a century long medical classification that retains is historical rendering and interface while expanding the opportunity for multiple linearization and underpinning its content with a formally constructed semantic network. The new artifact can enable modern data science and analyses with content encoded with ICD11.
    MeSH term(s) Humans ; International Classification of Diseases ; Knowledge Bases
    Language English
    Publishing date 2022-05-16
    Publishing country England
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2046490-3
    ISSN 1472-6947 ; 1472-6947
    ISSN (online) 1472-6947
    ISSN 1472-6947
    DOI 10.1186/s12911-021-01539-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Overview of ICD-11 architecture and structure

    Christopher G. Chute / Can Çelik

    BMC Medical Informatics and Decision Making, Vol 21, Iss S6, Pp 1-

    2022  Volume 7

    Abstract: Abstract Background The International Classification of Diseases (ICD) has progressed from a short list of causes of death to become the predominant classification of human diseases, syndromes, and conditions around the world. The World Health ... ...

    Abstract Abstract Background The International Classification of Diseases (ICD) has progressed from a short list of causes of death to become the predominant classification of human diseases, syndromes, and conditions around the world. The World Health Organization has now explored how the ICD could be revised to leverage the advances in computer science, ontology, and knowledge representation that had accelerated in the twentieth and early twenty-first centuries. Methods Many teams of clinical specialists and domain leaders worked to fundamentally revise the science and knowledge base of ICD-11. Development of the ICD-11 architecturally was a fundamental revision. The architecture for ICD-11 proposed in 2007 included three layers: a semantic network of biomedical concepts (Foundation), a traditional tabulation of hierarchical codes that would derive from that network (Linearization), and a formal ontology that would anchor the meaning of terms in the semantic network. Additionally, each entry in the semantic network would have an associated information model of required and optional content (Content Model). Results This paper describes the innovative architecture developed for ICD-11. Conclusion ICD11 is a revolutionary transformation of a century long medical classification that retains is historical rendering and interface while expanding the opportunity for multiple linearization and underpinning its content with a formally constructed semantic network. The new artifact can enable modern data science and analyses with content encoded with ICD11.
    Keywords Medical classification architecture ; Content model ; Foundation ; Linearization ; International classification of diseases ; ICD ; Computer applications to medicine. Medical informatics ; R858-859.7
    Language English
    Publishing date 2022-05-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: The rendering of human phenotype and rare diseases in ICD-11.

    Chute, Christopher G

    Journal of inherited metabolic disease

    2018  Volume 41, Issue 3, Page(s) 563–569

    Abstract: ICD-11 (International Classification of Diseases, 11th Revision) is the next major revision of the ICD by the World Health Organization (WHO). ICD-11 differs dramatically from historical versions, as it is based on an underlying semantic network of terms ...

    Abstract ICD-11 (International Classification of Diseases, 11th Revision) is the next major revision of the ICD by the World Health Organization (WHO). ICD-11 differs dramatically from historical versions, as it is based on an underlying semantic network of terms and meaning, called the Foundation. To function as a mutually exclusive and exhaustive statistical classification, ICD-11 creates derivative linearizations from the network that is a monohierarchy with residual categories such as Not Elsewhere Classified. ICD-11 also introduces the widespread post-coordination of terms, which allows for highly expressive representation of detailed patient descriptions. Phenotyping features are included in many subchapters or the signs and symptoms chapter. Composite phenotype descriptions of specific presentations or syndromes can be represented though post-coordination. Rare diseases are well represented in the Foundation, though not all appear in the relatively shallow linearization hierarchies.
    MeSH term(s) Diagnosis, Differential ; Humans ; International Classification of Diseases/standards ; International Classification of Diseases/trends ; Phenotype ; Rare Diseases/diagnosis ; Rare Diseases/pathology ; Syndrome ; World Health Organization
    Language English
    Publishing date 2018-03-29
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 438341-2
    ISSN 1573-2665 ; 0141-8955
    ISSN (online) 1573-2665
    ISSN 0141-8955
    DOI 10.1007/s10545-018-0172-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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    Jg. 1995 - 2021: Lesesall (1.OG)
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  4. Book ; Online: National COVID Cohort Collaborative (N3C) Institutional Review Board (IRB) protocol.

    Christopher G Chute

    2020  

    Abstract: This document details N3C's Institutional Review Board (IRB) protocol. The National COVID Cohort Collaborative (N3C) proposes to establish a central registry of patients who have been tested for COVID or have a clinical diagnosis of COVID. This will be ... ...

    Abstract This document details N3C's Institutional Review Board (IRB) protocol. The National COVID Cohort Collaborative (N3C) proposes to establish a central registry of patients who have been tested for COVID or have a clinical diagnosis of COVID. This will be derived by harmonizing COVID clinical data extracted from the federated clinical repositories associated with the Common Data Model (CDM) programs, enumerated in this document. Creating the N3C registry of individual-level (containing information specific to individual patients, sometimes called row-level) data as a limited--albeit protected--dataset of EHR data at a national level will be unprecedented in US clinical research. It will support novel machine learning analytics and discovery of important predictors associated with emergency visits, hospitalizations, ICU transfer, ventilator dependency, and death, amongst a myriad of related outcomes. It will have the scale, statistical power, and computing platform to address most questions the clinical and research communities seek to answer.
    Keywords COVID-19 ; SARS-CoV-2 ; data federation ; data sharing ; electronic health record ; institutional review board ; EHR ; IRB ; covid19
    Subject code 310
    Language English
    Publishing date 2020-04-22
    Publishing country eu
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Book: A paradigm shift in health care information systems

    Chute, Christopher G.

    clinical infrastructures for the 21st century ; November 7 - 11, 1998, Orlando, FL

    (Proceedings / AMIA ; 1998 ; JAMIA ; [5], Symp. suppl.)

    1998  

    Author's details ed. by Christopher G. Chute
    Series title Proceedings / AMIA ; 1998
    JAMIA ; [5], Symp. suppl.
    Proceedings
    Collection Proceedings
    Language English
    Size XXXVIII, 1155 S. : Ill., graph. Darst.
    Publisher Hanley & Belfus
    Publishing place Philadelphia
    Publishing country United States
    Document type Book
    HBZ-ID HT009425813
    Database Catalogue ZB MED Medicine, Health

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    Shelf markLoan statusLocation
    Zs A 4128 -[5],Symp.suppl.- not available for loan Zeitschriften-Lesesaal

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  6. Article ; Online: ICD-11: A catalyst for advancing patient safety surveillance globally.

    Forster, Alan J / Chute, Christopher G / Pincus, Harold Alan / Ghali, William A

    BMC medical informatics and decision making

    2023  Volume 21, Issue Suppl 6, Page(s) 383

    Abstract: The World Health Organization's (WHO) international classification of disease version 11 (ICD-11) contains several features which enable improved classification of patient safety events. We have identified three suggestions to facilitate adoption of ICD- ... ...

    Abstract The World Health Organization's (WHO) international classification of disease version 11 (ICD-11) contains several features which enable improved classification of patient safety events. We have identified three suggestions to facilitate adoption of ICD-11 from the patient safety perspective. One, health system leaders at national, regional, and local levels should incorporate ICD-11 into all approaches to monitor patient safety. This will allow them to take advantage of the innovative patient safety classification methods embedded in ICD-11 to overcome several limitations related to existing patient safety surveillance methods. Two, application developers should incorporate ICD-11 into software solutions. This will accelerate adoption and utility of software-enabled clinical and administrative workflows relevant to patient safety management. This is enabled as a result of the ICD-11 application programming interface (or API) developed by the WHO. Third, health system leaders should adopt the ICD-11 using a continuous improvement framework. This will help leaders at national, regional and local levels to take advantage of specific existing initiatives which will be strengthened by ICD-11, including peer review comparisons, clinician engagement, and alignment of front-line safety efforts with post marketing surveillance of medical technologies. While the investment to adopt ICD-11 will be considerable, these will be offset by reducing the ongoing costs related to a lack of accurate routine information.
    MeSH term(s) Humans ; International Classification of Diseases ; Patient Safety ; Global Health ; Patients ; Software
    Language English
    Publishing date 2023-03-09
    Publishing country England
    Document type Letter ; Research Support, N.I.H., Extramural
    ZDB-ID 2046490-3
    ISSN 1472-6947 ; 1472-6947
    ISSN (online) 1472-6947
    ISSN 1472-6947
    DOI 10.1186/s12911-023-02134-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Postcoordination of codes in ICD-11.

    Mabon, Kristy / Steinum, Olafr / Chute, Christopher G

    BMC medical informatics and decision making

    2022  Volume 21, Issue Suppl 6, Page(s) 379

    Abstract: A new coding feature introduced with ICD-11, the 11th revision of the International Classification of Diseases (ICD), is postcoordination, which supports combining (linking) two or more codes into a cluster that describes a clinical concept. ... ...

    Abstract A new coding feature introduced with ICD-11, the 11th revision of the International Classification of Diseases (ICD), is postcoordination, which supports combining (linking) two or more codes into a cluster that describes a clinical concept. Postcoordination allows for coded data to be reported to a greater level of specificity than was possible in previous version of ICD. The linked codes are kept together in a cluster when submitted for reporting. This article presents background detail on the postcoordination feature in ICD and the postcoordination tool. Also presented are several examples that demonstrate the flexibility that ICD-11 provides for enriching coded health information.
    MeSH term(s) Humans ; International Classification of Diseases
    Language English
    Publishing date 2022-05-17
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2046490-3
    ISSN 1472-6947 ; 1472-6947
    ISSN (online) 1472-6947
    ISSN 1472-6947
    DOI 10.1186/s12911-022-01876-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Book: Special issue on coding and language processing

    Chute, Christopher G.

    [the International Medical Informatics Association's Working Group on Natural Language, Classification and Concept Representation (IMIA WG6) convened a meeting last year] ; [1997]

    (Methods of information in medicine ; Vol. 37,4/5)

    1998  

    Title variant Coding and language processing
    Institution International Medical Informatics Association / Working Group on Natural Language, Classification and Concept Representation
    Author's details guest eds.: C. G. Chut
    Series title Methods of information in medicine ; Vol. 37,4/5
    Collection
    Language English
    Size S. 311 - 575 : Ill., graph. Darst.
    Publisher Schattauer
    Publishing place Stuttgart
    Document type Book
    HBZ-ID HT009621829
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    Zs A 126 -37- not available for loan Zeitschriften-Lesesaal

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  9. Article ; Online: Postcoordination of codes in ICD-11

    Kristy Mabon / Olafr Steinum / Christopher G. Chute

    BMC Medical Informatics and Decision Making, Vol 21, Iss S6, Pp 1-

    2022  Volume 8

    Abstract: Abstract A new coding feature introduced with ICD-11, the 11th revision of the International Classification of Diseases (ICD), is postcoordination, which supports combining (linking) two or more codes into a cluster that describes a clinical concept. ... ...

    Abstract Abstract A new coding feature introduced with ICD-11, the 11th revision of the International Classification of Diseases (ICD), is postcoordination, which supports combining (linking) two or more codes into a cluster that describes a clinical concept. Postcoordination allows for coded data to be reported to a greater level of specificity than was possible in previous version of ICD. The linked codes are kept together in a cluster when submitted for reporting. This article presents background detail on the postcoordination feature in ICD and the postcoordination tool. Also presented are several examples that demonstrate the flexibility that ICD-11 provides for enriching coded health information.
    Keywords Postcoordination ; Classification ; ICD11 ; International classification of diseases ; Computer applications to medicine. Medical informatics ; R858-859.7
    Language English
    Publishing date 2022-05-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: ICD-11 extension codes support detailed clinical abstraction and comprehensive classification.

    Drösler, Saskia E / Weber, Stefanie / Chute, Christopher G

    BMC medical informatics and decision making

    2021  Volume 21, Issue Suppl 6, Page(s) 278

    Abstract: Background: The new International Classification of Diseases-11th revision (ICD-11) succeeds ICD-10. In the three decades since ICD-10 was released, demands for detailed information on the clinical history of a morbid patient have increased.: Methods!# ...

    Abstract Background: The new International Classification of Diseases-11th revision (ICD-11) succeeds ICD-10. In the three decades since ICD-10 was released, demands for detailed information on the clinical history of a morbid patient have increased.
    Methods: ICD-11 has now implemented an addendum chapter X called "Extension Codes". This chapter contains numerous codes containing information on concepts including disease stage, severity, histopathology, medicaments, and anatomical details. When linked to a stem code representing a clinical state, the extension codes add significant detail and allow for multidimensional coding.
    Results: This paper discusses the purposes and uses of extension codes and presents three examples of how extension codes can be used in coding clinical detail.
    Conclusion: ICD-11 with its extension codes implemented has the potential to improve precision and evidence based health care worldwide.
    MeSH term(s) Humans ; International Classification of Diseases
    Language English
    Publishing date 2021-11-09
    Publishing country England
    Document type Journal Article ; Review
    ISSN 1472-6947
    ISSN (online) 1472-6947
    DOI 10.1186/s12911-021-01635-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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