Singapore General Hospital is developing an AI solution to determine the necessity of prescribing antibiotics, reduce their use, and identify the most appropriate ones for each patient. Developed with DXC Technology, the Augmented Intelligence in Infectious Diseases (AI2D) is an AI model currently covering pneumonia cases.
The AI2D helped cut down cases to review by three times (624 out of 2,012). It also raised the possibility of identifying cases requiring intervention among that heap of review cases by almost 12%, compared to 4% in a full manual review process. Moreover, analysing data in one case, which took 20 minutes in a manual review, was done in less than a second. the study also revealed that almost 40% of antibiotics prescribed for those cases might have been unnecessary.
In carrying out antimicrobial stewardship programs, using automation and AI could be the best approach, as teams would require insights in real-time at the point of prescription. AI would help identify review cases and prioritise ones requiring intervention. Automation would allow hospitals to expand the coverage of their antibiotic use audit, providing thorough insights into their usage.
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