The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Initial experience with AI Pathway Companion: Evaluation of dashboard-enhanced clinical decision making in prostate cancer screening
Open accessAbstract
Purpose: Rising complexity of patients and the consideration of heterogeneous information from various IT systems challenge the decision-making process of urological oncologists. Siemens AI Pathway Companion is a decision support tool that provides physicians with comprehensive patient information from various systems. In the present study, we examined the impact of providing organized patient information in comprehensive dashboards on information quality, effectiveness, and satisfaction of physicians in the clinical decision-making process. Methods: Ten urologists in our department performed the entire diagnostic workup to treatment decision for 10 patients in the prostate cancer screening setting. Expenditure of time, information quality, and user satisfaction during the decision-making process with AI Pathway Companion were recorded and compared to the current workflow. Results: A significant reduction in the physician’s expenditure of time for the decision-making process by -59.9% (p < 0,001) was found using the software. System usage showed a high positive effect on evaluated information quality parameters completeness (Cohen’s d of 2.36), format (6.15), understandability (2.64), as well as user satisfaction (4.94). Conclusion: The software demonstrated that comprehensive organization of information improves physician’s effectiveness and satisfaction in the clinical decision-making process. Further development is needed to map more complex patient pathways, such as the follow-up treatment of prostate cancer.
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A recent study evaluated urologists' use of an AI tool (Siemens AI Pathway Companion) to assist in CDM for ten patients with prostate cancer.
“A recent study evaluated urologists’ use of an AI tool (Siemens AI Pathway Companion; Siemans Healthcare, Germany) to assist in CDM for ten patients with prostate cancer. 15”
From The use of an artificial intelligence platform OpenEvidence to augment clinical decision-making for primary care physicians (2025) · cites this paper as [15]
The Abstract (Methods) says ten urologists used AI Pathway Companion in decision-making for ten patients. The Methods (Study design) specifies that the patients were undergoing prostate cancer screening; it does not establish that all ten had prostate cancer. One case was recommended for monitoring rather than biopsy. (LLM, conf=0.87)
Experimental — accuracy not yet measuredThe AI tool provided the urologists with an aggregated dashboard of relevant disease-specific information leading to diagnostic and therapeutic recommendations.
“The AI tool provided the urologists with an aggregated dashboard of relevant disease-specific information (e.g., prostate-specific antigen, prostate MRI, pathology) leading to diagnostic and therapeutic recommendations. 15”
From The use of an artificial intelligence platform OpenEvidence to augment clinical decision-making for primary care physicians (2025) · cites this paper as [15]
Urologists had a significant reduction in time spent on CDM (−59%; P < .001) and had improved satisfaction when using the tool compared to normal CDM.
“Urologists had a significant reduction in time spent on CDM (−59%; P < .001) and had improved satisfaction when using the tool compared to normal CDM. 15”
From The use of an artificial intelligence platform OpenEvidence to augment clinical decision-making for primary care physicians (2025) · cites this paper as [15]
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Clinical decision support in the era of artificial intelligence
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Cited by
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Hurt, R. T., Stephenson, C. R., Gilman, E. A., Aakre, C. A., Croghan, I. T., Mundi, M. S., Ghosh, K., & Edakkanambeth Varayil, J. (2025) · Journal of Primary Care & Community Health · doi:10.1177/21501319251332215 · Cited by 78
“2 Several specific studies have evaluated the role of AI tools in specialty practices outside the PCCs. 15,16 A recent study evaluated urologists’ use of an AI tool (Siemens AI Pathway Companion; Siemans Healthcare, Germany) to assist in CDM for ten patients with prostate cancer.”
InfluentialHealth Care Professionals’ Experience of Using AI: Systematic Review With Narrative Synthesis
Ayorinde, A., Mensah, D. O., Walsh, J., Ghosh, I., Ibrahim, S. A., Hogg, J., Peek, N., & Griffiths, F. (2024) · Journal of Medical Internet Research · doi:10.2196/55766 · Cited by 55
Metadata
- Authors
- Henkel, M., Horn, T., Leboutte, F., Trotsenko, P., Dugas, S. G., Sutter, S. U., Ficht, G., Engesser, C., Matthias, M., Stalder, A., Ebbing, J., Cornford, P., Seifert, H., Stieltjes, B., & Wetterauer, C.
- Affiliations
- University of Basel (CH)
- Liverpool University Hospitals NHS Foundation Trust (GB)
- Danube Private University (AT)
- Corresponding author
- Henkel, Maurice
- ORCID
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2022-07-20
- Volume
- 17
- Issue
- 7
- Pages
- e0271183
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC9299327
- OpenAlex
- W4286209811
- Cited by
- 24
- References
- 1
- Citations by year
- 2026: 2 · 2025: 9 · 2024: 6 · 2023: 7
- FWCI
- 4.12
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Siemens Healthineers
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Keywords
- clinical decision support, prostate cancer screening, clinical dashboards, physician information needs, information quality, user satisfaction, urologic oncology
- MeSH terms
- Clinical Decision-Making, Artificial Intelligence, Decision Making, Humans, Male, Prostatic Neoplasms, Prostate-Specific Antigen, Early Detection of Cancer
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