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de-identified clinformatics® data mart database date of death claims data  (Optum Inc)

 
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    Optum Inc de-identified clinformatics® data mart database date of death claims data
    De Identified Clinformatics® Data Mart Database Date Of Death Claims Data, supplied by Optum Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/de-identified clinformatics® data mart database date of death claims data/product/Optum Inc
    Average 90 stars, based on 1 article reviews
    de-identified clinformatics® data mart database date of death claims data - by Bioz Stars, 2026-06
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    Optum Inc de-identified clinformatics extended data mart database—date of death
    The distribution of thrombotic events among thrombosis with thrombocytopenia, defined as patients with a new diagnosis of thrombosis (identified using the narrow set of diagnosis codes) and a new diagnosis of thrombocytopenia (identified either by a diagnosis code or a platelet measurement ≤ 150,000 per microliter) within 7 days, by data source. The thrombotic events are represented by single SNOMED CT concept and grouped by thrombosis subtypes. A single SNOMED CT concept is indicated by specific different color on each histogram, and each histogram represents a specific thrombosis subtype. For example, in Optum_Extended_dod, the color dark purple in the first histogram (myocardial infarction) is the SNOMED CT concept “Acute non-ST segment elevation myocardial infarction.” The length of each bar represents how common one type of thrombosis was compared to the other (for example, myocardial infarction and cerebral infarction are more common than abdominal thrombosis). The diversity of the SNOMED CT concepts (representing diagnosis codes) occurring in each thrombosis type is represented by the variation of colors in each bar. For example, in IPCI and IQVIA_Germany, most thrombosis subtypes are driven by one or two SNOMED CT concept, while in IQVIA_Australia and CUMC, each thrombosis subtype is composed of a diversity of SNOMED CT concepts. CUMC Columbia University Irving Medical Center, IPCI Integrated Primary Care Information, IQVIA_Australia IQVIA ® Australia Longitudinal Patient Data, IQVIA_Germany IQVIA ® Disease Analyser Germany, Optum_Extended_DoD Optum® De-Identified <t>Clinformatics®</t> Extended Data Mart Database—Date of death, SNOMED CT Systematized Nomenclature of Medicine‐Clinical Terms
    De Identified Clinformatics Extended Data Mart Database—Date Of Death, supplied by Optum Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/de-identified clinformatics extended data mart database—date of death/product/Optum Inc
    Average 90 stars, based on 1 article reviews
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    Optum Inc de‐identified clinformatics® data mart database – date death
    The distribution of thrombotic events among thrombosis with thrombocytopenia, defined as patients with a new diagnosis of thrombosis (identified using the narrow set of diagnosis codes) and a new diagnosis of thrombocytopenia (identified either by a diagnosis code or a platelet measurement ≤ 150,000 per microliter) within 7 days, by data source. The thrombotic events are represented by single SNOMED CT concept and grouped by thrombosis subtypes. A single SNOMED CT concept is indicated by specific different color on each histogram, and each histogram represents a specific thrombosis subtype. For example, in Optum_Extended_dod, the color dark purple in the first histogram (myocardial infarction) is the SNOMED CT concept “Acute non-ST segment elevation myocardial infarction.” The length of each bar represents how common one type of thrombosis was compared to the other (for example, myocardial infarction and cerebral infarction are more common than abdominal thrombosis). The diversity of the SNOMED CT concepts (representing diagnosis codes) occurring in each thrombosis type is represented by the variation of colors in each bar. For example, in IPCI and IQVIA_Germany, most thrombosis subtypes are driven by one or two SNOMED CT concept, while in IQVIA_Australia and CUMC, each thrombosis subtype is composed of a diversity of SNOMED CT concepts. CUMC Columbia University Irving Medical Center, IPCI Integrated Primary Care Information, IQVIA_Australia IQVIA ® Australia Longitudinal Patient Data, IQVIA_Germany IQVIA ® Disease Analyser Germany, Optum_Extended_DoD Optum® De-Identified <t>Clinformatics®</t> Extended Data Mart Database—Date of death, SNOMED CT Systematized Nomenclature of Medicine‐Clinical Terms
    De‐Identified Clinformatics® Data Mart Database – Date Death, supplied by Optum Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/de‐identified clinformatics® data mart database – date death/product/Optum Inc
    Average 90 stars, based on 1 article reviews
    de‐identified clinformatics® data mart database – date death - by Bioz Stars, 2026-06
    90/100 stars
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    Optum Inc optum® de-identified clinformatics® data mart database – date of death
    The distribution of thrombotic events among thrombosis with thrombocytopenia, defined as patients with a new diagnosis of thrombosis (identified using the narrow set of diagnosis codes) and a new diagnosis of thrombocytopenia (identified either by a diagnosis code or a platelet measurement ≤ 150,000 per microliter) within 7 days, by data source. The thrombotic events are represented by single SNOMED CT concept and grouped by thrombosis subtypes. A single SNOMED CT concept is indicated by specific different color on each histogram, and each histogram represents a specific thrombosis subtype. For example, in Optum_Extended_dod, the color dark purple in the first histogram (myocardial infarction) is the SNOMED CT concept “Acute non-ST segment elevation myocardial infarction.” The length of each bar represents how common one type of thrombosis was compared to the other (for example, myocardial infarction and cerebral infarction are more common than abdominal thrombosis). The diversity of the SNOMED CT concepts (representing diagnosis codes) occurring in each thrombosis type is represented by the variation of colors in each bar. For example, in IPCI and IQVIA_Germany, most thrombosis subtypes are driven by one or two SNOMED CT concept, while in IQVIA_Australia and CUMC, each thrombosis subtype is composed of a diversity of SNOMED CT concepts. CUMC Columbia University Irving Medical Center, IPCI Integrated Primary Care Information, IQVIA_Australia IQVIA ® Australia Longitudinal Patient Data, IQVIA_Germany IQVIA ® Disease Analyser Germany, Optum_Extended_DoD Optum® De-Identified <t>Clinformatics®</t> Extended Data Mart Database—Date of death, SNOMED CT Systematized Nomenclature of Medicine‐Clinical Terms
    Optum® De Identified Clinformatics® Data Mart Database – Date Of Death, supplied by Optum Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/optum® de-identified clinformatics® data mart database – date of death/product/Optum Inc
    Average 90 stars, based on 1 article reviews
    optum® de-identified clinformatics® data mart database – date of death - by Bioz Stars, 2026-06
    90/100 stars
      Buy from Supplier

    90
    Optum Inc de-identified clinformatics® data mart database—date of death (dod) database
    The distribution of thrombotic events among thrombosis with thrombocytopenia, defined as patients with a new diagnosis of thrombosis (identified using the narrow set of diagnosis codes) and a new diagnosis of thrombocytopenia (identified either by a diagnosis code or a platelet measurement ≤ 150,000 per microliter) within 7 days, by data source. The thrombotic events are represented by single SNOMED CT concept and grouped by thrombosis subtypes. A single SNOMED CT concept is indicated by specific different color on each histogram, and each histogram represents a specific thrombosis subtype. For example, in Optum_Extended_dod, the color dark purple in the first histogram (myocardial infarction) is the SNOMED CT concept “Acute non-ST segment elevation myocardial infarction.” The length of each bar represents how common one type of thrombosis was compared to the other (for example, myocardial infarction and cerebral infarction are more common than abdominal thrombosis). The diversity of the SNOMED CT concepts (representing diagnosis codes) occurring in each thrombosis type is represented by the variation of colors in each bar. For example, in IPCI and IQVIA_Germany, most thrombosis subtypes are driven by one or two SNOMED CT concept, while in IQVIA_Australia and CUMC, each thrombosis subtype is composed of a diversity of SNOMED CT concepts. CUMC Columbia University Irving Medical Center, IPCI Integrated Primary Care Information, IQVIA_Australia IQVIA ® Australia Longitudinal Patient Data, IQVIA_Germany IQVIA ® Disease Analyser Germany, Optum_Extended_DoD Optum® De-Identified <t>Clinformatics®</t> Extended Data Mart Database—Date of death, SNOMED CT Systematized Nomenclature of Medicine‐Clinical Terms
    De Identified Clinformatics® Data Mart Database—Date Of Death (Dod) Database, supplied by Optum Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/de-identified clinformatics® data mart database—date of death (dod) database/product/Optum Inc
    Average 90 stars, based on 1 article reviews
    de-identified clinformatics® data mart database—date of death (dod) database - by Bioz Stars, 2026-06
    90/100 stars
      Buy from Supplier

    90
    Optum Inc de-identified clinformatics ® data mart database—date of death database
    The distribution of thrombotic events among thrombosis with thrombocytopenia, defined as patients with a new diagnosis of thrombosis (identified using the narrow set of diagnosis codes) and a new diagnosis of thrombocytopenia (identified either by a diagnosis code or a platelet measurement ≤ 150,000 per microliter) within 7 days, by data source. The thrombotic events are represented by single SNOMED CT concept and grouped by thrombosis subtypes. A single SNOMED CT concept is indicated by specific different color on each histogram, and each histogram represents a specific thrombosis subtype. For example, in Optum_Extended_dod, the color dark purple in the first histogram (myocardial infarction) is the SNOMED CT concept “Acute non-ST segment elevation myocardial infarction.” The length of each bar represents how common one type of thrombosis was compared to the other (for example, myocardial infarction and cerebral infarction are more common than abdominal thrombosis). The diversity of the SNOMED CT concepts (representing diagnosis codes) occurring in each thrombosis type is represented by the variation of colors in each bar. For example, in IPCI and IQVIA_Germany, most thrombosis subtypes are driven by one or two SNOMED CT concept, while in IQVIA_Australia and CUMC, each thrombosis subtype is composed of a diversity of SNOMED CT concepts. CUMC Columbia University Irving Medical Center, IPCI Integrated Primary Care Information, IQVIA_Australia IQVIA ® Australia Longitudinal Patient Data, IQVIA_Germany IQVIA ® Disease Analyser Germany, Optum_Extended_DoD Optum® De-Identified <t>Clinformatics®</t> Extended Data Mart Database—Date of death, SNOMED CT Systematized Nomenclature of Medicine‐Clinical Terms
    De Identified Clinformatics ® Data Mart Database—Date Of Death Database, supplied by Optum Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/de-identified clinformatics ® data mart database—date of death database/product/Optum Inc
    Average 90 stars, based on 1 article reviews
    de-identified clinformatics ® data mart database—date of death database - by Bioz Stars, 2026-06
    90/100 stars
      Buy from Supplier

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    The distribution of thrombotic events among thrombosis with thrombocytopenia, defined as patients with a new diagnosis of thrombosis (identified using the narrow set of diagnosis codes) and a new diagnosis of thrombocytopenia (identified either by a diagnosis code or a platelet measurement ≤ 150,000 per microliter) within 7 days, by data source. The thrombotic events are represented by single SNOMED CT concept and grouped by thrombosis subtypes. A single SNOMED CT concept is indicated by specific different color on each histogram, and each histogram represents a specific thrombosis subtype. For example, in Optum_Extended_dod, the color dark purple in the first histogram (myocardial infarction) is the SNOMED CT concept “Acute non-ST segment elevation myocardial infarction.” The length of each bar represents how common one type of thrombosis was compared to the other (for example, myocardial infarction and cerebral infarction are more common than abdominal thrombosis). The diversity of the SNOMED CT concepts (representing diagnosis codes) occurring in each thrombosis type is represented by the variation of colors in each bar. For example, in IPCI and IQVIA_Germany, most thrombosis subtypes are driven by one or two SNOMED CT concept, while in IQVIA_Australia and CUMC, each thrombosis subtype is composed of a diversity of SNOMED CT concepts. CUMC Columbia University Irving Medical Center, IPCI Integrated Primary Care Information, IQVIA_Australia IQVIA ® Australia Longitudinal Patient Data, IQVIA_Germany IQVIA ® Disease Analyser Germany, Optum_Extended_DoD Optum® De-Identified Clinformatics® Extended Data Mart Database—Date of death, SNOMED CT Systematized Nomenclature of Medicine‐Clinical Terms

    Journal: Drug Safety

    Article Title: Phenotype Algorithms for the Identification and Characterization of Vaccine-Induced Thrombotic Thrombocytopenia in Real World Data: A Multinational Network Cohort Study

    doi: 10.1007/s40264-022-01187-y

    Figure Lengend Snippet: The distribution of thrombotic events among thrombosis with thrombocytopenia, defined as patients with a new diagnosis of thrombosis (identified using the narrow set of diagnosis codes) and a new diagnosis of thrombocytopenia (identified either by a diagnosis code or a platelet measurement ≤ 150,000 per microliter) within 7 days, by data source. The thrombotic events are represented by single SNOMED CT concept and grouped by thrombosis subtypes. A single SNOMED CT concept is indicated by specific different color on each histogram, and each histogram represents a specific thrombosis subtype. For example, in Optum_Extended_dod, the color dark purple in the first histogram (myocardial infarction) is the SNOMED CT concept “Acute non-ST segment elevation myocardial infarction.” The length of each bar represents how common one type of thrombosis was compared to the other (for example, myocardial infarction and cerebral infarction are more common than abdominal thrombosis). The diversity of the SNOMED CT concepts (representing diagnosis codes) occurring in each thrombosis type is represented by the variation of colors in each bar. For example, in IPCI and IQVIA_Germany, most thrombosis subtypes are driven by one or two SNOMED CT concept, while in IQVIA_Australia and CUMC, each thrombosis subtype is composed of a diversity of SNOMED CT concepts. CUMC Columbia University Irving Medical Center, IPCI Integrated Primary Care Information, IQVIA_Australia IQVIA ® Australia Longitudinal Patient Data, IQVIA_Germany IQVIA ® Disease Analyser Germany, Optum_Extended_DoD Optum® De-Identified Clinformatics® Extended Data Mart Database—Date of death, SNOMED CT Systematized Nomenclature of Medicine‐Clinical Terms

    Article Snippet: CUMC Columbia University Irving Medical Center, IPCI Integrated Primary Care Information, IQVIA_Australia IQVIA ® Australia Longitudinal Patient Data, IQVIA_Germany IQVIA ® Disease Analyser Germany, Optum_Extended_DoD Optum® De-Identified Clinformatics® Extended Data Mart Database—Date of death, SNOMED CT Systematized Nomenclature of Medicine‐Clinical Terms Despite variation in coding practices and granularity of medical terms used across different data sources the most common thrombotic events among TWT patients were concepts related to MI, ischemic and hemorrhagic strokes, DVT, and PE.

    Techniques: Biomarker Discovery