数字からインサイトへ:可行性要求のためのビジュアルコホートエクスプローラーの開発
Ahmad Albenny1, Dennis Hübner1, Franziska Bathelt1
1Medizinische Universität Lausitz - Carl Thiem.
Studies in health technology and informatics
|September 3, 2025
まとめ
この研究は,患者の匿名性を維持しながらコホート理解を強化する,地元のFDPG可行性ポータルのデータのためのビジュアルツールを開発しました. データの抽出と可視化では,FHIRよりも速く証明されました.
科学分野:
- 医療情報学
- 医療データの可視化
- 臨床研究インフラ
背景:
- ドイツ医学研究データポータル (FDPG) の可行性ポータルは,国内患者コホート識別を支援しています.
- FDPG可行性ポータルの現地施設は,サイト特有の問い合わせに対応しています.
- 地元のコホートデータを視覚化することで,匿名性を保ちながら解釈と理解が向上します.
研究 の 目的:
- 地元のFDPGの可行性ポータルのコホートを視覚的に表現する.
- データの匿名性を確保しながらコホート洞察を提供するという課題に取り組む.
- 地元の可行性データの正確性と理解性を高める.
主な方法:
- 医療情報イニシアチブ (MII) のツールとローカル・フィーザビリティ・ポータルを活用した.
- fhircrackr,echarts4r,およびplotlyを使用してインタラクティブなRシャイニーダッシュボードを開発しました.
- 性別,診断 (ICD-10-GM),研究室 (LOINC),処置 (OPS),薬剤 (ATC) を含む患者のデータを視覚化しました.
主要な成果:
- 2つのデータ抽出方法 (FHIRとSQL) が開発され,コホートデータを可視化することが成功しました.
- インタラクティブなShinyアプリは 臨床専門家によって検証されたビジュアライゼーションを提供しました
- この2つの方法により,患者のコホート特性を効果的に可視化することができました.
結論:
- SQLアプローチは,大規模なデータに対してFHIRと比較して優れた処理時間を実証しました.
- FHIRは,サイト間での展開により大きな柔軟性を提供します.
- 開発されたビジュアライゼーションツールは,現地展開に適していますが,国内実装にはさらなる開発とインフラ改善が必要です.
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