PharmaLive spoke to Gerald Martinetz at mindbreeze about how data transforms R&D in the metaverse.
- What are some of the biggest R&D challenges for the pharmaceutical/healthcare industry in the metaverse?
Gerald Martinetz: The biggest R&D challenge for pharma and healthcare in the Metaverse comes down to patient data and privacy. Of course, privacy concerns apply to other metaverse industries, but health data is extremely sensitive. To ensure public trust and conduct ethical R&D in a 3D environment, a wide range of legal frameworks must guide the experiment. For example, while the Metaverse is marketed as a shared experience, digital safeguards must be employed to protect patient data and access to private meetings and information.
- From your perspective, how can pharma/healthcare organizations make the metaverse a more valuable workspace?
Gerald Martinetz: Pharmaceutical/healthcare organizations can turn the metaverse into an engaging and personalized experience for their staff. A lot of frustration occurs in the R&D space when employees struggle to find information. Connecting data and enabling teams to experience knowledge hands-on in an interactive format will lead them to be more efficient and accurate. R&D teams often don’t have the luxury of saving time and must gather information from various documents and data sources. Realistic interaction with drugs, vaccines, therapies, their companies’ experts, and patients will provide valuable insights that may have taken companies years or forever to find.
- Can you explain how a holistic view of data would benefit pharmacy/health care professionals?
Gerald Martinetz: As we know, a holistic view is a complete and comprehensive view of each piece of data. Pure access to the full breadth of information surrounding a subject saves pharmaceutical/healthcare professionals valuable time and resources while ensuring accuracy of work. For example, an R&D professional can view data from internal and external data sources on a specific drug they are modifying. A holistic view can show all relevant details to the user and separate documents based on queries, giving a complete view of the drug and its history while removing irrelevant information. This includes dosage details, potential side effects, symptoms of the target audience, records from regulatory authorities, and access to experts in your organization who have worked on this drug in the past.
- With ever-changing technology in the healthcare industry, where do you see the impact of AI-based knowledge management solutions in the next 5 years?
Gerald Martinetz: As so many customers and people have seen the benefits of a 360 degree view of business insight, I see more and more companies deciding to deploy these systems. Just as we have seen hyper automation over the last five years, especially the last two with the pandemic, people who were once hesitant about AI will not be able to ignore the global impact. AI-powered knowledge management solutions have already taken significant steps not only in eliminating redundant business processes, but in having a humanitarian impact on the world. As data scientists and machine learning systems continue to get smarter and learn from all the data we compile, the medical field will begin to see industry and life-changing discoveries in the next 5 next few years – and a lot of that will come from the work being done inside the Metaverse.