Certification: Eligible for 1 CE credit from the ACI

Presenter: Dmytro Okhrimchuk, Founder and CEO of Leera AI

HTM has spent years standardizing what goes into the CMMS, yet technicians often document their work hours or days later from memory. Join this session to explore why documentation lag is a system-design problem and how incomplete records affect staffing, cost of service, AEM decisions, accreditation evidence and benchmarking. Follow an infusion pump repair from the bench to the final work order to see what details survive, what gets lost and what AI can realistically help capture.

You will learn how to evaluate AI tools marketed to HTM, including predictive analytics, Q&A assistants, dictation and point-of-work capture. Discover which tools read existing records, which improve documentation and where each introduces benefits or risks.Leave with six questions to ask any AI vendor, covering data quality, PHI exposure, CMMS integration and technician workload, plus four free checks you can run on your own program.The session also includes a clearly labeled product example and discussion of The Joint Commission’s Responsible Use of AI in Healthcare certification.

Webinar Wednesday would like to thank today’s sponsor, Leera AI. Leera AI is an AI scribe built for HTM teams. The tech scans the asset tag or opens the WO, then talks through the job as they work. Leera captures the problem, diagnosis, parts, measurements and time, cleans it up, and writes the completed WO into the CMMS once the tech has reviewed it. For managers, it highlights documentation gaps, repeat repairs and where the time goes. For more information, visit withleera.ai.

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