Artificial intelligence services have, in the fast few years, seen a surge in demand, especially in combination with machine learning across a spectrum of health-related industries, especially those which rely highly on data and research. One such industry is the pharmaceutical industry. In fact, of all health-related industries, the pharma sector seems to have felt the biggest positive impact of artificial intelligence.

It is fast becoming a much desired tool for achieving a competitive edge in the pharma industry. Artificial intelligence companies have been helping pharma firms in more ways than one in making them more dynamic than ever.

Why AI Services for the Pharmaceutical Industry?

Data has been making waves across all industries. Modern methods of data collection, management and analytics have made a deep impact on the way the pharmaceutical industry has been managed hitherto. As a field that’s always been data-driven, new ways of data management have necessitated innovation to make the industry as smart as the data, to be able to derive more value than ever from this data.

Why AI Services for the Pharmaceutical Industry

So, when technologies like big data and data analytics have made the pharma industry much smarter, faster, and information-driven than it ever has been. Artificial intelligence along with machine learning are two technologies that are ready with the next step. AI service providers can now help the pharma sector move beyond simplistic insights. It is done through proactive optimization of pharma processes, making them truly smart.

Since the data is already being taken care of by other technologies, AI can be of immense help in pharmaceutical research & development. The use cases can be as many as one may not have thought of. However, the biggest way in which artificial intelligence companies have optimised the pharmaceutical industry is in the area of clinical trials. It is now one of the promising and bright use cases of AI.

Here are three ways in which AI service providers are helping improve clinical trials immensely.

Effective Trial Design

Making effective clinical trial workflow and ensuring uninterrupted operation is something that is becoming more and more desirable. Seasoned artificial intelligence companies are now trying to leverage machine learning algorithms for this task and are seeing a fair amount of success.

These solutions can analyze trial workflows in minute detail. This is why they are immensely instrumental in identifying and eliminating inefficiencies in these processes, bringing in speed and cost-effectiveness.

Accurate Recruitment of Patients

AI tools like IBM Watson have already helped improve clinical trial enrolment by as much as 80%, state the findings of a 2018 report by Mayo Clinic. AI helped in better with enrollment through more accurate criteria-based matching of patients to trials.

Artificial intelligence can quickly analyze patients from large pools of data and give you the best fors for any given trial based on the provided criteria. It ensures that the most suitable candidates are taken up for a particular clinical trial.

Improving Trial Output

Artificial intelligence services can also help in the last leg of clinical trials. It can help you with deeper insight into the results that come out of clinical trials. You can know better about patients based on results. And it doesn’t stop there. It can actually go ahead and help you know if and when a volunteer patient is about to discontinue with the trial. That is one of the oldest and the most prevalent problems that clinical trials programs ail with. When a prediction can be made, intervention can be made and corrective steps taken to save the integrity of the clinical trial.

Not only are artificial intelligence services helping the pharmaceutical industry become more accurate but also more predictive, two things that define its future.



Venkateshwarlu Kakkireni

Venkat is highly passionate about solving Business challenges using Technology. He has been instrumental in bootstrapping the company and is currently responsible for leading strategies and innovations to help customers enhance operations and improve efficiency. Among several key projects he was involved over the years, developing an award winning IoT solution which monitors Food Safety, both while in transit and in storage for Emerson Electric has been very close to his heart. Currently over 500+ businesses across the globe are using this solution to track real-time location, temperature and safety of perishable and high value shipments.