Development and Validation of an EHR-based Algorithm for Identifying Pneumocystis jirovecii Pneumonia

YU KITAMURA; MASAMI TSUCHIYA; HIROTOSHI IIHARA; SHUJI SAKURAI; JUNKI ENDO; KEISUKE KUMADA; YUKARI TSUBATA

doi:10.21873/invivo.14322

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Development and Validation of an EHR-based Algorithm for Identifying Pneumocystis jirovecii Pneumonia

YU KITAMURA, MASAMI TSUCHIYA, HIROTOSHI IIHARA, SHUJI SAKURAI, JUNKI ENDO, KEISUKE KUMADA and YUKARI TSUBATA

In Vivo May 2026, 40 (3) 1715-1721; DOI: https://doi.org/10.21873/invivo.14322

YU KITAMURA

1Department of Respirology, Graduate School of Medicine, Gifu University, Gifu, Japan;

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MASAMI TSUCHIYA

2Division of Drug Informatics, Keio University Faculty of Pharmacy, Tokyo, Japan;

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For correspondence: m-tsuchiya{at}keio.jp

HIROTOSHI IIHARA

3Department of Pharmacy, Gifu University Hospital, Gifu, Japan;

4Patient Safety Division, Gifu University Hospital, Gifu, Japan;

5Cancer Center, Gifu University Hospital, Gifu, Japan

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SHUJI SAKURAI

3Department of Pharmacy, Gifu University Hospital, Gifu, Japan;

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JUNKI ENDO

1Department of Respirology, Graduate School of Medicine, Gifu University, Gifu, Japan;

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KEISUKE KUMADA

4Patient Safety Division, Gifu University Hospital, Gifu, Japan;

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YUKARI TSUBATA

1Department of Respirology, Graduate School of Medicine, Gifu University, Gifu, Japan;

5Cancer Center, Gifu University Hospital, Gifu, Japan

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May-June 2026

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Development and Validation of an EHR-based Algorithm for Identifying Pneumocystis jirovecii Pneumonia

YU KITAMURA, MASAMI TSUCHIYA, HIROTOSHI IIHARA, SHUJI SAKURAI, JUNKI ENDO, KEISUKE KUMADA, YUKARI TSUBATA

In Vivo May 2026, 40 (3) 1715-1721; DOI: 10.21873/invivo.14322

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Development and Validation of an EHR-based Algorithm for Identifying Pneumocystis jirovecii Pneumonia

YU KITAMURA, MASAMI TSUCHIYA, HIROTOSHI IIHARA, SHUJI SAKURAI, JUNKI ENDO, KEISUKE KUMADA, YUKARI TSUBATA

In Vivo May 2026, 40 (3) 1715-1721; DOI: 10.21873/invivo.14322

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Keywords

Pneumocystis jirovecii pneumonia
electronic health records
algorithm validation
real-world data
positive predictive value

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