Where to Apply Machine Translation in Life Sciences Content Workstreams Right Now
In the life sciences industry, it’s increasingly essential to reduce cycle times and enhance operational efficiencies, especially across clinical and commercial team processes. To address evolving regulations from global health authorities and the common pain points of costs, risks, and time in their work, these teams will need to automate their processes.
Using AI-powered machine translation (MT) workflows can have a transformative impact on ensuring that the hundreds of different kinds of documents involved in medical product development and launch meet global language requirements. Let’s explore three immediate use cases and strategic applications for MT within life sciences content workstreams.
Document Translation
In global life sciences operations, where teams are working across multiple regions and time zones, vast quantities of documents need to be translated and managed in multiple languages. In addition to increasing content volume, study teams are also inundated by expedited timelines, quality and compliance concerns, administrative burdens, and budget constraints, leading to risks of error when content is translated through a manual process. Scalable, AI-powered machine translation software within a centralized management system helps teams eliminate manual file export and cutting and pasting while automatically translating their documentation in a click. With this process, all data is securely stored in one ecosystem, mitigating risk and helping to keep an audit trail. Now, clinical teams can easily prepare translated copies of essential documents such as informed consent forms, patient questionnaires, clinical trial protocols, investigator brochures, adverse event reports, and more for audiences across the globe. On the market, commercial teams can eliminate the manual burden of translating their patient-facing medication guides, discharge instructions, patient education materials, and appointment reminders.
Patient Communication
Once a treatment, medication, or procedure is successfully approved and on the global market, it is essential to provide patients with relevant safety information in their preferred languages. In trial settings before the study even begins and throughout its course, clinical teams need to translate patient-facing documents like recruitment materials, informed consent forms (ICF), lay summaries, study brochures and flyers, and more.
Commercial and clinical teams alike can utilize AI-powered machine translation software to streamline and automate the creation and management of multilingual keyword glossaries in context. Through this process, keywords can be updated and reused automatically across different content types. With a human linguist in the loop for post-editing, teams can ensure that patient-facing terminology is localized with cultural sensitivity based on the target region.
Medical Research and Education
To continuously innovate in the life sciences industry, clinical and commercial teams must share their data with the international community in scientific research publications. By leveraging AI-powered machine translation workflows to automate research data analysis, generate reports, and translate them in seconds, these teams can ensure that groundbreaking scientific knowledge is disseminated across communities worldwide. With this global expansion of research and education, there is great potential to enhance learning retention and compliance.
Conclusion
To manage translation at scale while simultaneously juggling vast volumes of content, timeline pressures, and overall administrative burdens, life sciences organizations must turn to the cutting-edge opportunities offered by automated machine translation workflows.
Looking for AI-powered document translation and localization solutions for your multilingual content strategies? Reach out to our GlobalLink Life Sciences team today.