{"id":13849,"date":"2026-04-01T10:47:00","date_gmt":"2026-04-01T10:47:00","guid":{"rendered":"https:\/\/intuceo.com\/?post_type=use-case&p=13849"},"modified":"2026-09-03T09:48:10","modified_gmt":"2026-09-03T09:48:10","slug":"automating-adverse-event-detection-with-ai-ml","status":"publish","type":"use-case","link":"https:\/\/puffertech.com\/clients\/intuceo\/case-studies\/automating-adverse-event-detection-with-ai-ml\/","title":{"rendered":"Automating Adverse Event detection with AI\/ML eliminating manual efforts and aiding to timely FDA submittals."},"content":{"rendered":"\t\t
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\n\t\t\t\t\t\t\t\t\tThe current system of identifying adverse events from customer complaints is labor intensive and time consuming. FDA guidelines require health care providers and manufacturers to submit voluntary reports of adverse events associated with products within the 15 days of compliant. However, the challenge companies face is to swift through the massive volumes of the complaints and require highly trained professionals to review, validate and\nidentify the adverse event to prepare report in timely fashion (<15 days of\ncomplaint) for FDA submittal.\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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\n\t\t\t\t\t\t\t\t\tA fortune 100 big pharma\/MD&D client approached Intuceo\u00ae team to automate and improve\nthe process efficiency leveraging AI\/ML. Applying AI effectively to determine whether a complaint is\npotentially an adverse event or not requires not only base level prediction capability but also ability\nof the AI model to rationalize its prediction. A Yes\/No decision of AI model may help in reducing the\nvolume of complaints, but it doesn\u2019t eliminate the pains takingly time-consuming efforts from experts\nin manually annotating the explanation to why that Event is Adverse Event or not. While most AI\ncognitive models provide base level Prediction capabilities, they seldom come with \u201cExplainable AI\nintelligence\u201d. Intuceo\u00ae team of experts along with patented Intuceo\u00ae auto ml tools for pattern\nrecognition and predictive models, partnered with the client and implemented a AI\/ML solution that\naccomplished both the goals, \u201cAccurately Identify potential Adverse Event\u201d along with rationale on\nWHY with the explainable AI feature. \t\t\t\t\t\t\t\t<\/div>\n\t\t
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