Development and validation of claims-based algorithms to identify interstitial lung disease among Japanese patients with cancer in routine clinical practice using real-world data sources - Scorecard - MDSpire
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Creation and assessment of claims-based algorithms for detecting interstitial lung disease in Japanese cancer patients utilizing real-world data in standard clinical settings

  • By

  • Yu-Jing Huang

  • Toshihiro Takeda

  • Yoshie Shimai

  • Taizo Murata

  • Kento Sugimoto

  • Yoshito Takeda

  • Haruhiko Hirata

  • Makoto Yamamoto

  • Midori Yoneda

  • Seigo Minami

  • Masahiro Higashi

  • Alan James Michael Brnabic

  • Zbigniew Kadziola

  • Tsutomu Kawaguchi

  • Yucherng Chen

  • Yasushi Matsumura

  • September 9, 2026

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Clinical Scorecard: Creation and assessment of claims-based algorithms for detecting interstitial lung disease in Japanese cancer patients utilizing real-world data in standard clinical settings

At a Glance

CategoryDetail
ConditionInterstitial Lung Disease (ILD)
Key MechanismsClaims-based algorithms utilizing machine learning for identification
Target PopulationJapanese patients with cancer
Care SettingRoutine clinical practice

Key Highlights

  • Developed and validated a claims-based algorithm for ILD detection.
  • Algorithm demonstrated a sensitivity of 33.5% and specificity of 99.3%.
  • Key variables included ILD diagnosis codes and biomarkers.
  • External validation showed comparable performance with a sensitivity of 19.8%.

Guideline-Based Recommendations

Diagnosis

  • Use machine-learning models for identifying ILD in claims data.

Management

  • Consider algorithm results for case confirmation in treatment comparisons.

Monitoring & Follow-up

  • Regularly validate algorithm performance with external datasets.

Risks

  • Sensitivity limitations may affect identification of ILD cases.

Patient & Prescribing Data

Japanese cancer patients with potential ILD

Claims data can indicate suspected ILD cases for further investigation.

Clinical Best Practices

  • Incorporate machine-learning approaches for variable selection in claims data.
  • Utilize adjudication processes for validating suspected ILD cases.

Related Resources & Content

Original Source(s)

Development and validation of claims-based algorithms to identify interstitial lung disease among Japanese patients with cancer in routine clinical practice using real-world data sources

  • by Yu-Jing Huang, Toshihiro Takeda, Yoshie Shimai, Taizo Murata, Kento Sugimoto, Yoshito Takeda, Haruhiko Hirata, Makoto Yamamoto, Midori Yoneda, Seigo Minami, Masahiro Higashi, Alan James Michael Brnabic, Zbigniew Kadziola, Tsutomu Kawaguchi, Yucherng Chen, Yasushi Matsumura

  • September 9, 2026

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