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Development of a population based patient cancer data warehouse from multiple electronic health record systems.

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Τίτλος: Development of a population based patient cancer data warehouse from multiple electronic health record systems.
Συγγραφείς: Siegler, Karla, Smith, Jason, Walker, Emily, Bu, Jingyu, Robson, Paula, Shack, Lorraine
Πηγή: Health Informatics Journal; Apr-Jun2026, Vol. 32 Issue 2, p1-10, 10p
Θεματικοί όροι: Databases, Medical information storage & retrieval systems, Medical informatics, Data management, Privacy, Information storage & retrieval systems, Reporting of diseases, Cancer patients, Electronic data interchange, Electronic health records, Information retrieval, Tumors, Data warehousing, Medical ethics
Γεωγραφικοί όροι: Alberta
Περίληψη: Objective: Cancer is a significant cause of death globally. Effective management requires use of real-world data to inform treatment and planning. This demands improvements in data management to support healthcare delivery, research, and patient outcomes. Electronic health records (EHR) offer a potential solution yet integrating and interpreting the data poses challenges. To address this we developed Data Environment for Cancer Inquiries and Decisions or DECIDe. DECIDe is a cancer data warehouse consolidating patient data from multiple systems in use at Alberta Health Services (AHS). Methods: DECIDe's development began with stakeholder engagement and requirements gathering followed by design. The warehouse includes landing, staging, analysis, and reporting schemas that facilitate integration and transformation. Primary EHR, cancer registry, and legacy EHR data were extracted, transformed, and loaded into DECIDe. Results: DECIDe integrated 2,100+ tables into 36 analysis tables with data from 1,055,186 unique patients. Integration exceeded 93% across all data sources demonstrating robust consolidation. DECIDe's structured format enables efficient storage, retrieval, and analysis, laying the foundation for comprehensive reporting and analytics. Conclusion: DECIDe addresses challenges in managing healthcare data, supporting analytics into cancer trends and treatment outcomes. Unique to Canadian healthcare DECIDe provides a comprehensive view of cancer care, enhancing decision-making and research opportunities. [ABSTRACT FROM AUTHOR]
Copyright of Health Informatics Journal is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Data: Development of a population based patient cancer data warehouse from multiple electronic health record systems.
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  Data: <searchLink fieldCode="AR" term="%22Siegler%2C+Karla%22">Siegler, Karla</searchLink><br /><searchLink fieldCode="AR" term="%22Smith%2C+Jason%22">Smith, Jason</searchLink><br /><searchLink fieldCode="AR" term="%22Walker%2C+Emily%22">Walker, Emily</searchLink><br /><searchLink fieldCode="AR" term="%22Bu%2C+Jingyu%22">Bu, Jingyu</searchLink><br /><searchLink fieldCode="AR" term="%22Robson%2C+Paula%22">Robson, Paula</searchLink><br /><searchLink fieldCode="AR" term="%22Shack%2C+Lorraine%22">Shack, Lorraine</searchLink>
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  Data: Health Informatics Journal; Apr-Jun2026, Vol. 32 Issue 2, p1-10, 10p
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  Data: <searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+information+storage+%26+retrieval+systems%22">Medical information storage & retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+informatics%22">Medical informatics</searchLink><br /><searchLink fieldCode="DE" term="%22Data+management%22">Data management</searchLink><br /><searchLink fieldCode="DE" term="%22Privacy%22">Privacy</searchLink><br /><searchLink fieldCode="DE" term="%22Information+storage+%26+retrieval+systems%22">Information storage & retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Reporting+of+diseases%22">Reporting of diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer+patients%22">Cancer patients</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+interchange%22">Electronic data interchange</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+health+records%22">Electronic health records</searchLink><br /><searchLink fieldCode="DE" term="%22Information+retrieval%22">Information retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Tumors%22">Tumors</searchLink><br /><searchLink fieldCode="DE" term="%22Data+warehousing%22">Data warehousing</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+ethics%22">Medical ethics</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Alberta%22">Alberta</searchLink>
– Name: Abstract
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  Data: Objective: Cancer is a significant cause of death globally. Effective management requires use of real-world data to inform treatment and planning. This demands improvements in data management to support healthcare delivery, research, and patient outcomes. Electronic health records (EHR) offer a potential solution yet integrating and interpreting the data poses challenges. To address this we developed Data Environment for Cancer Inquiries and Decisions or DECIDe. DECIDe is a cancer data warehouse consolidating patient data from multiple systems in use at Alberta Health Services (AHS). Methods: DECIDe's development began with stakeholder engagement and requirements gathering followed by design. The warehouse includes landing, staging, analysis, and reporting schemas that facilitate integration and transformation. Primary EHR, cancer registry, and legacy EHR data were extracted, transformed, and loaded into DECIDe. Results: DECIDe integrated 2,100+ tables into 36 analysis tables with data from 1,055,186 unique patients. Integration exceeded 93% across all data sources demonstrating robust consolidation. DECIDe's structured format enables efficient storage, retrieval, and analysis, laying the foundation for comprehensive reporting and analytics. Conclusion: DECIDe addresses challenges in managing healthcare data, supporting analytics into cancer trends and treatment outcomes. Unique to Canadian healthcare DECIDe provides a comprehensive view of cancer care, enhancing decision-making and research opportunities. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Health Informatics Journal is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=194971578
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        Value: 10.1177/14604582261440410
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        Text: English
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        PageCount: 10
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      – SubjectFull: Alberta
        Type: general
      – SubjectFull: Databases
        Type: general
      – SubjectFull: Medical information storage & retrieval systems
        Type: general
      – SubjectFull: Medical informatics
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      – SubjectFull: Data management
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      – SubjectFull: Privacy
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      – SubjectFull: Information storage & retrieval systems
        Type: general
      – SubjectFull: Reporting of diseases
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      – SubjectFull: Cancer patients
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      – SubjectFull: Electronic data interchange
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      – SubjectFull: Data warehousing
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      – SubjectFull: Medical ethics
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      – TitleFull: Development of a population based patient cancer data warehouse from multiple electronic health record systems.
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              M: 04
              Text: Apr-Jun2026
              Type: published
              Y: 2026
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