Addressing Data Quality Challenges in Lung Cancer Data Within the Observational Medical Outcomes Partnership Common Data Model: Observational Study - Top-Institutions - MDSpire

Addressing Data Quality Challenges in Lung Cancer Data Within the Observational Medical Outcomes Partnership Common Data Model: Observational Study

  • By

  • Jens Declerck

  • Mieke Deschepper

  • Kirsten Colpaert

  • Dipak Kalra

  • Pascal Coorevits

  • June 8, 2026

  • 0 min

Share

Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    Ghent University Hospital
    Ghent University Hospital

    Ghent, Belgium

    Key Differentiators

    • Oncology

  • #2

    European Institute for Innovation through Health Data
    European Institute for Innovation through Health Data

    Brussels, Belgium

    Key Differentiators

    • Oncology

  • #3

    Dana-Farber Cancer Institute
    Dana-Farber Cancer Institute

    Boston, Massachusetts

    Key Differentiators

    • Oncology

Original Source(s)

Addressing Data Quality Challenges in Lung Cancer Data Within the Observational Medical Outcomes Partnership Common Data Model: Observational Study

  • by Jens Declerck, Mieke Deschepper, Kirsten Colpaert, Dipak Kalra, Pascal Coorevits

  • June 8, 2026

Related Content

Case Report: Dramatic response to amivantamab plus chemotherapy in EGFR G719A–mutant lung adenocarcinoma with liver and peritoneal metastases

Secondary spontaneous pneumothorax as an initial manifestation of lung cancer: a case report

Research advances of tubeless thoracic surgery for pulmonary nodules: current status and future challenges