Research from University of Miami Miller School of Medicine Yields New Data on Science and Technology (Automated vs. manual coding of neuroimaging reports via natural language processing, using the international classification of diseases,...).
In: Medical Imaging Week, 2024-06-04, S. 5088-5088
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A study conducted by the University of Miami Miller School of Medicine explored the use of natural language processing (NLP) to generate diagnosis codes from neuroimaging reports. The researchers compared the performance of an NLP algorithm to that of manual coding by physicians. The algorithm demonstrated relatively accurate results, with a sensitivity/specificity/F2 score of 0.88/0.80/0.83 for the top 5 codes. The study concluded that the NLP algorithm has the potential to generate codes with reliability and consistency, offering a more efficient alternative to manual coding. Further research could explore the correlation between diagnosis codes and clinical encounter codes to evaluate the impact of imaging on patient care. [Extracted from the article]
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Research from University of Miami Miller School of Medicine Yields New Data on Science and Technology (Automated vs. manual coding of neuroimaging reports via natural language processing, using the international classification of diseases,...).
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Zeitschrift: | Medical Imaging Week, 2024-06-04, S. 5088-5088 |
Veröffentlichung: | 2024 |
Medientyp: | serialPeriodical |
ISSN: | 1552-9355 (print) |
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