Pathological Reporting of Radical Prostatectomy Specimens Following ICCR Recommendation : Impact of Electronic Reporting Tool Implementation on Quality and Interdisciplinary Communication in a Large University Hospital
Prostate cancer represents one of the most common malignant tumors in male patients in Germany. The pathological reporting of radical prostatectomy specimens following a structured process constitutes an excellent prototype for the introduction of software-based standardized structured reporting in pathology. This can lead to reports of higher quality and could create a fundamental improvement for future AI applications. A software-based reporting template was used to generate standardized structured pathological reports of radical prostatectomy specimens of patients treated at the University Hospital Klinikum rechts der Isar of Technische Universität München, Germany. Narrative reports (NR) and standardized structured reports (SSR) were analyzed with regard to completeness, and clinicians' satisfaction with each report type was evaluated. SSR show considerably higher completeness than NR. A total of 10 categories out of 32 were significantly more complete in SSR than in NR (p < 0.05). Clinicians awarded overall high scores in NR and SSR reports. One rater acknowledged a significantly higher level of clarity and time saving when comparing SSR to NR. Our findings highlight that the standardized structured reporting of radical prostatectomy specimens, qualifying as level 5 reports, significantly increases objectively measured content quality and the level of completeness. The implementation of nationwide SSR in Germany, particularly in oncologic pathology, can serve pathologists, clinicians, and patients.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2022 |
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Erschienen: |
2022 |
Enthalten in: |
Zur Gesamtaufnahme - volume:29 |
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Enthalten in: |
Current oncology (Toronto, Ont.) - 29(2022), 10 vom: 30. Sept., Seite 7245-7256 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Richter, Caroline [VerfasserIn] |
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Links: |
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Themen: |
Journal Article |
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Anmerkungen: |
Date Completed 28.10.2022 Date Revised 11.01.2023 published: Electronic Citation Status MEDLINE |
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doi: |
10.3390/curroncol29100571 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM348052545 |
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520 | |a Prostate cancer represents one of the most common malignant tumors in male patients in Germany. The pathological reporting of radical prostatectomy specimens following a structured process constitutes an excellent prototype for the introduction of software-based standardized structured reporting in pathology. This can lead to reports of higher quality and could create a fundamental improvement for future AI applications. A software-based reporting template was used to generate standardized structured pathological reports of radical prostatectomy specimens of patients treated at the University Hospital Klinikum rechts der Isar of Technische Universität München, Germany. Narrative reports (NR) and standardized structured reports (SSR) were analyzed with regard to completeness, and clinicians' satisfaction with each report type was evaluated. SSR show considerably higher completeness than NR. A total of 10 categories out of 32 were significantly more complete in SSR than in NR (p < 0.05). Clinicians awarded overall high scores in NR and SSR reports. One rater acknowledged a significantly higher level of clarity and time saving when comparing SSR to NR. Our findings highlight that the standardized structured reporting of radical prostatectomy specimens, qualifying as level 5 reports, significantly increases objectively measured content quality and the level of completeness. The implementation of nationwide SSR in Germany, particularly in oncologic pathology, can serve pathologists, clinicians, and patients | ||
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700 | 1 | |a Schüffler, Peter J |e verfasserin |4 aut | |
700 | 1 | |a Sommer, Wieland |e verfasserin |4 aut | |
700 | 1 | |a Fusco, Federico |e verfasserin |4 aut | |
700 | 1 | |a Hauner, Katharina |e verfasserin |4 aut | |
700 | 1 | |a Schmid, Sebastian C |e verfasserin |4 aut | |
700 | 1 | |a Gschwend, Jürgen E |e verfasserin |4 aut | |
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700 | 1 | |a Schlitter, Anna Melissa |e verfasserin |4 aut | |
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