In our latest Mini-CPD episode, Steve Randall speaks with audiologist Trevor Chapman about how artificial intelligence and machine learning are transforming workplace hearing health.Trevor breaks down how validated machine learning algorithms enable faster, highly consistent hearing screenings without replacing human clinicians. The discussion covers practical applications, including proactive Temporary Threshold Shift (TTS) testing, cutting-edge hearing aid tech, and tackling the stigma surrounding hearing loss in the workplace. Key TakeawaysSpeed & Accuracy: Machine learning algorithms allow hearing screenings to be conducted faster while maintaining the accuracy of a specialized clinical environment.Human-in-the-Loop: AI doesn't replace staff; it frees up nurses and technicians to focus on broader patient assessments and questionnaire reviews while human oversight handles red flags (e.g., HSE Category 3/4 alerts).Proactive TTS Testing: Testing hearing before and after noise exposure (every 4 hours) helps measure Temporary Threshold Shift, assessing whether PPE is effective or if equipment needs noise-reduction modifications.Destigmatizing Hearing Loss: Normalizing routine workplace hearing screenings helps reduce the stigma around hearing aids and prevents broader health issues like social isolation, depression, and cognitive decline.Connect with Trevor on LinkedIn. The FastAG website.The SOM podcast is sponsored by Orchid Live - specialist occupational health software used by a number of SOM members to run every aspect of their occupational health operations. They hold healthcare records for over 1 million UK workers and work with both in-house OH teams and OH providers. You can find out more at OrchidLive.com.

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