Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Engesser, C; Henkel, M; Stalder, AF; Tobias, H; Trotsenko, P; Alargkof, V; Cornford, P; Seifert, H; Stieltjes, B; Wetterauer, C.
Accompanying the prostate cancer patient pathway: evaluation of novel clinical decision support software in patients with early diagnosis of prostate cancer.
BMC Med Inform Decis Mak. 2025; 25(1):260
Doi: 10.1186/s12911-025-03098-1
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- Co-Autor*innen der Med Uni Graz
- Trotsenko Pawel
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- Abstract:
- BACKGROUND: Prostate cancer, the second most prevalent cancer among men with 1.4 million newly diagnosed cases, poses intricate challenges in treatment decision-making due to multifaceted influencing factors. The aim was to assess the efficacy of clinical decision support software (CDSS) in pre-therapeutic prostate cancer management. METHODS: This study evaluated the CDSS "AI Pathway Companion" by comparing traditional manual methods with software-supported processes in patients diagnosed with localized prostate cancer. The assessment included time analysis, user surveys, and data quality evaluations. RESULTS: The CDSS notably reduced case preparation time (-41.5% overall time), including accessing laboratory and imaging results, as well as data integration tasks. Users' survey indicated heightened satisfaction and improved information quality using the software. Despite limitations in sample size and single-center focus, the study underscored the CDSS's potential to streamline workflows, enhance data quality, and elevate user experience. CONCLUSION: The study highlights the CDSS's significant impact on consultation preparation time, decision-making efficiency, and user satisfaction in pre-therapeutic prostate cancer management. While showing promise in this setting, further investigations are needed to gauge its effectiveness in advanced stages and post-therapeutic contexts, aligning with evolving healthcare demands for improved efficiency and patient-centered care.
- Find related publications in this database (using NLM MeSH Indexing)
- Humans - administration & dosage
- Male - administration & dosage
- Prostatic Neoplasms - diagnosis, therapy
- Decision Support Systems, Clinical - standards
- Early Detection of Cancer - methods, standards
- Aged - administration & dosage
- Software - standards
- Middle Aged - administration & dosage
- Critical Pathways - standards
- Find related publications in this database (Keywords)
- Prostate cancer
- Clinical decision support system
- Digital healthcare
- Artificial intelligence
- AI
- CDSS
- AI pathway companion