IQVIA Vigilance Platform is our secure SaaS environment built to simplify safety and PV processes, while boosting speed, accuracy, and efficiency.
IQVIA Vigilance</a> page or contact us at <a href=https://www.iqvia.com/blogs/2023/01/"mailto:safetypv@iqvia.com">safetypv@iqvia.com for additional questions. </p>" /> IQVIA Vigilance</a> page or contact us at <a href=https://www.iqvia.com/blogs/2023/01/"mailto:safetypv@iqvia.com">safetypv@iqvia.com for additional questions. </p>" />
The cost and expertise needed to translate AE information received by life-science organizations limits how organizations handle case receipt and case processing. On top of this, manual, traditional translation processes are slow, expensive and with increasing data volume and complexity, no longer sufficient. Traditional translation can take multiple days and use up to 50% of program budgets on less than 40% of source information received.
During the recent Safety Seminar in Boston, attendees dove into the examining the future of healthcare translation, industry challenges and where the market is headed especially as it relates to neural machine translation (NMT) - an AI-based translation solution.
There are five main pillars of healthcare translation essentials – speed, accuracy, efficiency, security and cost. Let’s dive into each one.
Traditional translation processes are time-consuming as they struggle with the growing deluge of data being collected and requiring processing. Thus, life-science organizations are turning to AI. The state of the art for translation are Neural Machine Translations solutions, that use an automated neural network to train, learn and apply statistical models for machine translation across multiple algorithms at the same time. Data is peer benchmarked against multiple available systems to assess closeness and human-parity, and test segments are randomly selected for evaluation quarterly for each language pair. Assessment includes a ‘champion versus challenger’ evaluation model using BLEU, FTM, TER, Meteor, + human assessment.
This ensures the highest quality translation while continually learning. In addition, IQVIA is a SaaS platform, so organizations benefit from the millions of life-science and Safety specific translations IQVIA processes. When these aspects are merged with the specificity of the life-science knowledge for contextual understanding, pharmaceutical organizations experience higher quality translation for even the most complex of data translation requests.
This means the technology can be utilized instantly at multiple points throughout the case intake and processing process including during social media scanning, intake, case processing, and data analysis.
When firms combine NMT with the IQVIA Vigilance Platform, it automates multi-sourced data extraction, translation, normalization and structuring operations into databases. Rather than days with the traditional translation solution, it can be reduced to minutes with a totally transparent and predictable cost model.
IQVIA NMT learns and re-learns from life-sciences specific data and can fully automatically translate over 55 languages with high accuracy and can support over 200 languages with human review.
NMT incorporates the five healthcare translation essentials (speed, accuracy, efficiency, security, cost) to alleviate difficulties in the translational process and simplify case processing. As the industry continues to advance, traditional translation processes and cost models are no longer suitable. NMT is reliable, reduces costs, saves time, and lowers costs.
For more information, please visit the IQVIA Vigilance page or contact us at safetypv@iqvia.com for additional questions.
IQVIA Vigilance Platform is our secure SaaS environment built to simplify safety and PV processes, while boosting speed, accuracy, and efficiency.
Harness the power of automation to execute streamlined end-to-end safety solutions while reducing costs.
Meet the challenge of changing stakeholder demands and increasing cost constraints with IQVIA's integrated technology services and analytics-driven offerings.