How AI in pharma can help improve knowledge processes
Elliott Charbonneau Elliott Charbonneau
July 27 3 min

How AI in pharma can help improve knowledge processes

The pharmaceutical industry is under unprecedented pressure to innovate, and for businesses to harness their vast knowledge bases more effectively than ever before.

Ever-accelerating innovation cycles means that the pharma industry has to work and think fast. McKinsey stated in their report “R&D in the ‘age of agile’” that the most successful players of the future will be characterized by “rapid decision making and reallocation of resources.”

However, sound decision making relies on having access or visibility to key information. There are often challenges to corralling a large organization’s information resources and harnessing them most effectively.

Information silos everywhere

Today, we’re lucky enough to be able to communicate and store information across a wide range of platforms. Data can come from a bewildering variety of sources, to be stored in different types of systems. Obtaining full visibility of an organization’s information that may be strewn across disparate systems can be a herculean, or even impossible, task.

Then there’s all the information stored in the first knowledge system of all: the human brain. This legacy system is completely air-gapped, and you can’t copy and paste a memory just yet. Short of asking a colleague, you have no way of finding out the knowledge they’ve accumulated during their career, and sometimes they may not even recall all of it themselves.

Wherever it’s located, it’s all valuable information. So, the question is: how to make sure everyone who needs it can find it?

Making knowledge accessible

Deploying AI in pharma can solve the problem of making all your information accessible to those who need it. Today’s tools are able to analyze data in greater depth and with more sophistication than ever before, for both structured and unstructured data.

And AI tools can learn from this data and their performance in finding it for you. That means they not only get better at doing so, but can also form a repository of tacit knowledge. AI gains an understanding of the relationship between items of information, “connecting the dots” so that it can then relay these connections to users. This sort of expansive tacit or institutional knowledge is often only found siloed away in the heads of employees who’ve spent years gathering it. Now, AI can build this kind of comprehensive, nuanced understanding for itself, and make it available for all who need it.

Unearthing your data goldmine

In pharma, an area where AI technology can be highly beneficial is within quality deviation investigation. In order to resolve production issues and refine manufacturing processes, pharmaceutical organizations need to be able to bring all their in-house expertise and information to bear. That includes quick access to past deviation reports as well as to vital institutional and tacit knowledge.

R&D knowledge management is another area where pharmaceutical organizations can benefit from easily locating disparate data, including academic articles, historical project reviews and patents. Doing so can help organizations use existing data to its full potential in research and even in developing new drugs.

Often, this information is scattered or siloed and has been an underutilized goldmine. By deploying AI in pharma, the pharmaceutical industry can optimize its knowledge processes and fulfill its full potential for shareholders, employees, customers and healthcare as a whole.

Want to learn more about how Element AI enables pharmaceutical companies to harness their knowledge? Let’s talk. Get in touch with us today.