AI Is Helping To Overcome The Challenges Of Clinical Trial Matches

Healthcare professionals keep on jotting different researches in the medical field, to bring innovative drugs and therapies in the market. To achieve this milestone, clinical trials are the best way to diagnose different medical conditions with new innovations in the healthcare world.

But it is not that easy as it seems to carry out the clinical trial matches, as there are many obstacles included in this process.  But no need to lose hope as technology has brought ease in conducting clinical trials, and the role of AI here cannot be missed.

Curious to know more???

Well, this post unleashes some of the facts AI technology has brought in the healthcare sector. Let’s scroll further…

What is a Clinical Trial?

Well, in a very specific term to describe clinical trials, it is a type of research study, which compares the effects of new medical discoveries on people. These discoveries can be in the form of new drugs or treatments. But it is not limited to it, and it can be used to examine the effects of other health interventions such as diagnostic methods, surgeries, or procedures.

These trails can take place for any chronic disease or any other health condition which has a long and painful process to complete, so trials can be made to shorten and expedite the process.

AI for Clinical Trial Matching

The process where physicians conventionally match the patients to clinical trials manually, which is a time consuming and not proven strategy, as there are many flaws. However, amid this chaos, the integration of AI technology changes the game completely.

The process to carry out the clinical trial matches, AI technology considers unidentified patient information, and further analyzes its other data sources, like documents and electronic health records. After this step, the AI algorithms gather data from the information and creates an anonymous profile for each patient.

This process becomes easy with the integration of Machine Learning and clinical trial-specific NLP algorithms, which further helps in analyzing all available trials across the globe in real-time and further gets it matched with the clinical trials.

Another benefit to incur from this technology states that the patient’s medical information matches the clinical trial requirements, helping the medical team to gain success.

How AI is helping to bring a change in clinical trials?

Artificial Intelligence technology is helping different industries and when it comes to talking about the healthcare sector, then its contribution to the clinical trial process cannot be ignored. Let’s take a look at some of the ways in which AI is changing the clinical trials to a great extent.

Improved selection and recruitment

AI technology has the potential to improve key parts of the clinical trial process, consisting of selection and recruitment, and patient monitoring. As per a research conducted, maximum clinical trials fail due to poor recruiting and selecting techniques, coupled with the inability to effectively monitor patients. Here, Artificial Intelligence tools come forward to rescue and provide a feasible way to improve this process and increase clinical trial success rates.

Helping to find the right patient for clinical trial

Eventually, one of the most disturbing facts is to match the right trial with the right patient, and it is a time-consuming and challenging process as well. Many patients fail to enroll, or even clinical trials fail to meet enrollment timelines. As a matter of fact, patients generally get trial recommendations from their doctors, and if physicians are unaware of it, then it goes in vain.  On the other hand, AI solution extracts relevant information from a patient’s medical records, then further get it compared with the ongoing trials, and suggests matching studies. This helps researchers to get a hold onto the efficient and structured healthcare data that helps them to make the right decision.

Beat the Challenge; EHR interoperability 

As we all know that the US federal government has spent more than $28B to give digitized flavor to the electronic health records (EHRs). But still, there is a challenge of getting access to the centralized repository or standard format for patient medical data, as these, both entities are largely missing. Further, even for the patients to access their own records is a daunting task.

But this is where AI steps in and eases down the process, helping patients and health startups to analyze the medical dataset and suggest eligible patients. This further enables researchers to collect accurate data that is required to determine a patient’s eligibility.

In a nutshell

AI apps are creating a stir in the market, and despite being considered to be in the nascent stage, there are many industries and sectors that have gained benefits out of it.

In the near future, there will be more advancements to take place in the scope of AI and it will surely enhance the capabilities of different business domains across the world.

With this hope, I bid adieu to you all today, to get the latest tech updates keep watching this space.