P-012 Time, risk & motion study of an integrated artificial intelligence robotic system for semen analysis

نویسندگان

چکیده

Abstract Study question Can integration of a robotic system for semen analysis reduce operational failure modes and eliminate risk in the IVF laboratory? Summary answer A reduces eliminates severe risks including those associated with reduced patient experience increased stress. What is known already Recently, ever-evolving field has experienced rise innovations to boost laboratory performance. Considering lack robust evidence some them, decisions on implementation are often based opinion product cost. Currently, an approach assess risk, time effectiveness not been fully described. error-free (Sakkas et al., 2018), hence all new technology coming into ought errors happening. design, size, duration Failure mode effects (FMEA) was carried out workflow centre (>500 cycles per annum) evaluate possible procedural manual compared digitalised pathway. Possible sources error were identified, Risk Priority Number (RPN), likelihood, severity detection incidence each as previously described by Rienzi 2015. Participants/materials, setting, methods Using systematic decision-making quantify value incorporating use (Mojo AISA) analysis. Main results role chance Five process phases identified conventional specimen There eight steps 29 modes, among which 13 given moderate (RPN 15-50, i.e. data entry errors, incorrect count sperm classification) three RPNs (RPN>50), resulting reduction efficacy treatment. Protocol using resulted four 16, none RPNs. Implementation improved optimising motion specialist further reducing active at least 30%. Limitations, reasons caution FMEA proactive method identify potential incidents help develop strategies mitigate risks. Ultimately, this forms part scheme responsible development. The likelihood incidences estimated clinical experience. Risks inherent sample handling remained present. Wider implications findings that exist when manually inputting electronic medical records, whilst offering support specialists. Trial registration number applicable

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ژورنال

عنوان ژورنال: Human Reproduction

سال: 2023

ISSN: ['1460-2350', '0268-1161']

DOI: https://doi.org/10.1093/humrep/dead093.382