Using Multimedia in Life Sciences to Educate Global Audiences

From e-learning modules and patient education videos to clinical trial simulations and marketing materials, life sciences organizations use multimedia content to inform and engage patients, healthcare professionals, and other stakeholders. However, creating high-quality multilingual multimedia content can be a complex process—from translating content in various formats, such as text, video, and images—to ensuring they are […]
Multimedia

From e-learning modules and patient education videos to clinical trial simulations and marketing materials, life sciences organizations use multimedia content to inform and engage patients, healthcare professionals, and other stakeholders.

However, creating high-quality multilingual multimedia content can be a complex process—from translating content in various formats, such as text, video, and images—to ensuring they are accurate and culturally appropriate in different target languages.

Artificial intelligence (AI) and generative AI (GenAI) have transformed how organizations across industries create and translate content. Life sciences organizations can use GenAI, specifically large language models (LLMs), to generate multilingual multimedia content at scale.

Multimedia in Life Sciences

Because of its complexity, medical terminology can sometimes be illustrated and explained more easily using multimedia. This is why multimedia is a crucial tool in pharmaceuticals, biotechnology, medical devices, and clinical trials.

Pharmaceuticals

Pharmaceutical companies use multimedia to educate patients about their medications and treatment options, to promote new products, and to train healthcare professionals on the latest treatments. Some examples include:

Biotechnology

Biotechnology companies use multimedia to illustrate complex biological processes and communicate the value of their products and services to investors, partners, and the public. For example:

Medical Devices

Medical device manufacturers use multimedia to train healthcare professionals to use their products safely and effectively. They also use it to market their products to patients and healthcare providers. Some real-world examples include:

Clinical Trials

Multimedia is used in clinical trials to recruit participants, educate participants about the trial process, and collect participant data. It is also used to train trial personnel. For example:

However, creating multilingual multimedia content for a global audience can be challenging.

 

AI Revolutionizing Multilingual Multimedia, Benefiting Patients and Clients

AI and GenAI technologies, particularly LLMs, natural language processing (NLP), and machine translation (MT), can help life sciences organizations overcome the challenges of creating multilingual multimedia content.

 

Case Studies of AI Use and Success Stories

Several life sciences organizations have successfully implemented AI in their communications. For example:

 

Future Trends and Possibilities

Emerging trends in AI and multimedia technologies offer new possibilities for life sciences organizations. These include virtual reality (VR), augmented reality (AR), and personalization technology.

VR and AR

VR and AR can be used to create immersive training programs that simulate real-world scenarios, allowing healthcare professionals to practice their skills in a safe environment. For example, VR simulations could enable healthcare professionals to use new medical devices and treatments safely and effectively and practice performing complex procedures in a virtual environment.

Another use case is immersive patient education experiences using VR simulations that can provide an immersive experience, which allows patients to visualize medical procedures or understand the impact of certain conditions on the body. VR and AR offer greater realism in clinical trial simulations, improving the training of trial personnel.

Personalization

The future of multimedia in the life sciences industry may see an increased focus on personalized content. AI algorithms can analyze individual preferences, language proficiency, and learning styles to tailor multimedia materials for healthcare professionals, patients, and other stakeholders.

AI can also be used to personalize multimedia content for individual patients. For example, AI-powered algorithms can recommend educational videos to patients based on their needs and preferences. AI-powered virtual assistants can answer patient questions and provide real-time feedback on their understanding of the material.

 

Use GenAI for Multilingual Multimedia Applications

AI and GenAI have the potential to revolutionize the life sciences industry by improving patient engagement, enhancing training programs, and streamlining global communication. By automating the content creation and translation process, AI can help life sciences organizations reach international audiences with high-quality multimedia content at scale.

To help you do this, work with a partner with a track record in the life sciences industry and AI. Welocalize Life Sciences delivers language solutions from clinical trial documentation and patient information brochures to lay language documents and laboratory technical manuals. We have teams across North America, Europe, and Asia supported by a network of over 250,000 linguists. And we are at the forefront of using AI, including GenAI, for multilingual content and communications.

Contact us to learn how we can help you use AI for multilingual multimedia.