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Twenty-First Century Data Systems: Evolving Cancer Registries to a Learning Health System.

Peter P Yu1, W Scott Campbell2, Eric B Durbin3

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This summary is machine-generated.

Cancer registries face challenges with data standards and infrastructure. A computational approach and investment in data infrastructure are crucial for interoperability and a learning health ecosystem.

Keywords:
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Area of Science:

  • Oncology
  • Medical Informatics
  • Public Health

Background:

  • Cancer data is increasing due to aging populations and improved treatments, creating reporting challenges.
  • Healthcare systems need to meet diverse cancer data reporting requirements for various stakeholders.
  • The proliferation of cancer registries has led to data heterogeneity and non-standardized transport.

Purpose of the Study:

  • To explore strategies for enhancing cancer surveillance through improved registries.
  • To address the need for modernized cancer data architecture supporting a Learning Health System.
  • To identify requirements for sustained investment in data infrastructure.

Main Methods:

  • Convened a workshop with diverse stakeholders including cancer centers, professional societies, industry, and government agencies.
  • Discussed challenges in cancer data interoperability and standardization.
  • Explored the role of federal policy and private initiatives in modernizing cancer data architecture.

Main Results:

  • Cancer registries exhibit heterogeneity in data vocabularies and transport standards.
  • Federal policies and private initiatives aim to modernize cancer data architecture for a Learning Health System.
  • Sustained investment in data infrastructure requires viable business models.

Conclusions:

  • A computational approach to cancer registries can foster interoperability and data sharing.
  • Healthcare systems must invest in data infrastructure to integrate new data sources like genomics and wearables.
  • Evolving business models is essential to sustain investments in the cancer data ecosystem.