How machine learning on real world clinical data improves adverse event recording for endoscopy
Endoscopic interventions are essential for diagnosing and treating gastrointestinal conditions. Accurate and comprehensive documentation is crucial for enhancing patient safety and optimizing clinical outcomes; however, adverse events remain underreported. This study evaluates a machine learning-bas...
Gespeichert in:
| Hauptverfasser: | , , , , , , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
10 July 2025
|
| In: |
npj digital medicine
Year: 2025, Jahrgang: 8, Pages: 1-10 |
| ISSN: | 2398-6352 |
| DOI: | 10.1038/s41746-025-01826-5 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s41746-025-01826-5 Verlag, kostenfrei, Volltext: http://www.nature.com/articles/s41746-025-01826-5 
|
| Verfasserangaben: | Stefan Wittlinger, Isabella C. Wiest, Mahboubeh Jannesari Ladani, Jakob Nikolas Kather, Matthias P. Ebert, Fabian Siegel & Sebastian Belle |
MARC
| LEADER | 00000naa a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 193638762X | ||
| 003 | DE-627 | ||
| 005 | 20250922152500.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 250922s2025 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1038/s41746-025-01826-5 |2 doi | |
| 035 | |a (DE-627)193638762X | ||
| 035 | |a (DE-599)KXP193638762X | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 33 |2 sdnb | ||
| 100 | 1 | |a Wittlinger, Stefan |d 1994- |e VerfasserIn |0 (DE-588)1377131661 |0 (DE-627)1936389134 |4 aut | |
| 245 | 1 | 0 | |a How machine learning on real world clinical data improves adverse event recording for endoscopy |c Stefan Wittlinger, Isabella C. Wiest, Mahboubeh Jannesari Ladani, Jakob Nikolas Kather, Matthias P. Ebert, Fabian Siegel & Sebastian Belle |
| 264 | 1 | |c 10 July 2025 | |
| 300 | |b Diagramme | ||
| 300 | |a 10 | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Gesehen am 22.09.2025 | ||
| 520 | |a Endoscopic interventions are essential for diagnosing and treating gastrointestinal conditions. Accurate and comprehensive documentation is crucial for enhancing patient safety and optimizing clinical outcomes; however, adverse events remain underreported. This study evaluates a machine learning-based approach for systematically detecting endoscopic adverse events from real-world clinical metadata, including structured hospital data such as ICD-codes and procedure timings. Using a random forest classifier detecting adverse events perforation, bleeding, and readmission, we analysed 2490 inpatient cases, achieving significant improvements over baseline prediction accuracy. The model achieved AUC-ROC/AUC-PR values of 0.9/0.69 for perforation, 0.84/0.64 for bleeding, and 0.96/0.9 for readmissions. Results highlight the importance of multiple metadata features for robust predictions. This semi-automated method offers a privacy-preserving tool for identifying documentation discrepancies and enhancing quality control. By integrating metadata analysis, this approach supports better clinical decision-making, quality improvement initiatives, and resource allocation while reducing the risk of missed adverse events in endoscopy. | ||
| 650 | 4 | |a Health care | |
| 650 | 4 | |a Medical research | |
| 700 | 1 | |a Wiest, Isabella |d 1992- |e VerfasserIn |0 (DE-588)1198882956 |0 (DE-627)168103638X |4 aut | |
| 700 | 1 | |a Jannesari, Mahboubeh |d 1985- |e VerfasserIn |0 (DE-588)1323768998 |0 (DE-627)1883724929 |4 aut | |
| 700 | 1 | |a Kather, Jakob Nikolas |d 1989- |e VerfasserIn |0 (DE-588)1064064914 |0 (DE-627)812897587 |0 (DE-576)423589091 |4 aut | |
| 700 | 1 | |a Ebert, Matthias |d 1968- |e VerfasserIn |0 (DE-588)1030133522 |0 (DE-627)734827083 |0 (DE-576)377938432 |4 aut | |
| 700 | 1 | |a Siegel, Fabian |d 1979- |e VerfasserIn |0 (DE-588)1034567551 |0 (DE-627)745868037 |0 (DE-576)382210514 |4 aut | |
| 700 | 1 | |a Belle, Sebastian |d 1976- |e VerfasserIn |0 (DE-588)134303415 |0 (DE-627)69224140X |0 (DE-576)278646646 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t npj digital medicine |d [Basingstoke] : Macmillan Publishers Limited, 2016 |g 8(2025), Artikel-ID 424, Seite 1-10 |h Online-Ressource |w (DE-627)1016587104 |w (DE-600)2925182-5 |w (DE-576)501513582 |x 2398-6352 |7 nnas |a How machine learning on real world clinical data improves adverse event recording for endoscopy |
| 773 | 1 | 8 | |g volume:8 |g year:2025 |g elocationid:424 |g pages:1-10 |g extent:10 |a How machine learning on real world clinical data improves adverse event recording for endoscopy |
| 856 | 4 | 0 | |u https://doi.org/10.1038/s41746-025-01826-5 |x Verlag |x Resolving-System |z kostenfrei |3 Volltext |
| 856 | 4 | 0 | |u http://www.nature.com/articles/s41746-025-01826-5 |x Verlag |z kostenfrei |3 Volltext |
| 951 | |a AR | ||
| 992 | |a 20250922 | ||
| 993 | |a Article | ||
| 994 | |a 2025 | ||
| 998 | |g 134303415 |a Belle, Sebastian |m 134303415:Belle, Sebastian |d 60000 |d 61100 |e 60000PB134303415 |e 61100PB134303415 |k 0/60000/ |k 1/60000/61100/ |p 7 |y j | ||
| 998 | |g 1034567551 |a Siegel, Fabian |m 1034567551:Siegel, Fabian |d 60000 |d 65200 |e 60000PS1034567551 |e 65200PS1034567551 |k 0/60000/ |k 1/60000/65200/ |p 6 | ||
| 998 | |g 1030133522 |a Ebert, Matthias |m 1030133522:Ebert, Matthias |d 60000 |d 61100 |e 60000PE1030133522 |e 61100PE1030133522 |k 0/60000/ |k 1/60000/61100/ |p 5 | ||
| 998 | |g 1064064914 |a Kather, Jakob Nikolas |m 1064064914:Kather, Jakob Nikolas |d 910000 |d 910100 |e 910000PK1064064914 |e 910100PK1064064914 |k 0/910000/ |k 1/910000/910100/ |p 4 | ||
| 998 | |g 1323768998 |a Jannesari, Mahboubeh |m 1323768998:Jannesari, Mahboubeh |d 60000 |d 65200 |e 60000PJ1323768998 |e 65200PJ1323768998 |k 0/60000/ |k 1/60000/65200/ |p 3 | ||
| 998 | |g 1198882956 |a Wiest, Isabella |m 1198882956:Wiest, Isabella |d 60000 |d 61100 |e 60000PW1198882956 |e 61100PW1198882956 |k 0/60000/ |k 1/60000/61100/ |p 2 | ||
| 998 | |g 1377131661 |a Wittlinger, Stefan |m 1377131661:Wittlinger, Stefan |d 60000 |e 60000PW1377131661 |k 0/60000/ |p 1 |x j | ||
| 999 | |a KXP-PPN193638762X |e 477481816X | ||
| BIB | |a Y | ||
| SER | |a journal | ||
| JSO | |a {"origin":[{"dateIssuedDisp":"10 July 2025","dateIssuedKey":"2025"}],"relHost":[{"pubHistory":["2016-"],"origin":[{"publisherPlace":"[Basingstoke]","dateIssuedDisp":"[2016]-","publisher":"Macmillan Publishers Limited"}],"title":[{"title_sort":"npj digital medicine","title":"npj digital medicine"}],"part":{"extent":"10","volume":"8","text":"8(2025), Artikel-ID 424, Seite 1-10","year":"2025","pages":"1-10"},"id":{"issn":["2398-6352"],"eki":["1016587104"],"zdb":["2925182-5"]},"note":["Gesehen am 06. September 2019"],"language":["eng"],"type":{"bibl":"periodical","media":"Online-Ressource"},"recId":"1016587104","physDesc":[{"extent":"Online-Ressource"}],"disp":"How machine learning on real world clinical data improves adverse event recording for endoscopynpj digital medicine"}],"person":[{"given":"Stefan","role":"aut","family":"Wittlinger","display":"Wittlinger, Stefan"},{"display":"Wiest, Isabella","family":"Wiest","given":"Isabella","role":"aut"},{"display":"Jannesari, Mahboubeh","given":"Mahboubeh","role":"aut","family":"Jannesari"},{"display":"Kather, Jakob Nikolas","given":"Jakob Nikolas","role":"aut","family":"Kather"},{"given":"Matthias","role":"aut","family":"Ebert","display":"Ebert, Matthias"},{"given":"Fabian","role":"aut","family":"Siegel","display":"Siegel, Fabian"},{"family":"Belle","role":"aut","given":"Sebastian","display":"Belle, Sebastian"}],"title":[{"title":"How machine learning on real world clinical data improves adverse event recording for endoscopy","title_sort":"How machine learning on real world clinical data improves adverse event recording for endoscopy"}],"type":{"media":"Online-Ressource","bibl":"article-journal"},"language":["eng"],"note":["Gesehen am 22.09.2025"],"recId":"193638762X","physDesc":[{"extent":"10 S.","noteIll":"Diagramme"}],"name":{"displayForm":["Stefan Wittlinger, Isabella C. Wiest, Mahboubeh Jannesari Ladani, Jakob Nikolas Kather, Matthias P. Ebert, Fabian Siegel & Sebastian Belle"]},"id":{"eki":["193638762X"],"doi":["10.1038/s41746-025-01826-5"]}} | ||
| SRT | |a WITTLINGERHOWMACHINE1020 | ||