| Autor: |
Norman J. Beauchamp, R. Nick Bryan, Marilyn M. Bui, Gabriel P. Krestin, Geraldine B. McGinty, Carolyn C. Meltzer, Michael Neumaier |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Insights into Imaging, Vol 14, Iss 1, Pp 1-13 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1869-4101 |
| DOI: |
10.1186/s13244-023-01379-9 |
| Popis: |
Key points Although an overall boon to clinical diagnosis, increasingly voluminous, diverse, and fragmented diagnostic data can overwhelm physicians and frustrate patients. Data are gathered and processed within “silos” of the diagnostic disciplines, including radiology and pathology. The EHR does little to intelligently organize and synthesize these disparate data to facilitate diagnosis. ID envisions a process in which data from the entire arsenal of in vivo and in vitro diagnostics, together with clinical data from the EHR, are aggregated and contextualized to enhance diagnosis and direct clinical action |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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