How Big Data Analytics Is Set To Change The Future Of Clinical Trial?


Best practices and trends in technology

How Big Data Analytics Is Set To Change The Future Of Clinical Trial?

June 25, 2020

Having more concern towards the value-based care and patient-centric approach these days, a lot of questions are arising. Of course, the answers to them never been mentioned earlier.

Pharmaceutical Companies Ensure Success With Analytics

Presently it is a quickly changing and dynamic battleground where the prerequisites to learn big data are rising continually. With the emergence of various technologies like robotic process automation, AI demands pharmaceutical companies to grow to gain a competitive edge in the pharma industry. The making and manufacturing of medicines take a great deal of time, lengthy processes, and obviously hefty amounts. However, still, the pharmaceutical industry is snowballing.

Growing yearly at 5.8 percent since the year 2017, the whole big data pharma industry is expected to grow by $1170 bn by the next year. Americans alone spent 329 bn $ on prescription drugs in 2016 and are likely to have a market value of 25%.

The Asia Pacific has shown strong growth trajectories, and it is likely to increase by 8.4 percent by the next year with china and India anticipated to grow at 10-11 percent.

The numerous supporting infrastructure and data are to be progressions in cloud computing, machine learning technologies promising to render different innovations to give effective insights to follow-up a reliable approach in the global marketplace.

The advantages it provides to the pharmaceutical businesses are indeed many. Be it making it able to make a brief analysis and monitoring to ensure the processes are working effectively with insights and helping in producing useful decisions.

As per McKinsey, working efficiencies are simply accessible to scale up the influence of advanced data analytics. It can range as more as 15 to 30% for the last 5 years, thereby accelerating 45 to around 70% over a decade to optimize and discover the new therapies.

Clinical tests these days are expensive than ever, and the pharma data analytics processes are really getting complex now. But, the fact is that a clinical test is the sole way out to get a new drug into the global marketplace. No wonders, it is a time-demanding and expensive process that has to be completed traditionally in a controlled situation in order to get constant access to information. The expansion of digital therapeutics has changed everything now.  

The Real Benefits Of Real-World Clinical Trials In The Pharmaceutical Arena

Real-world clinical trials let a person make an idea of a real-world product and its effectiveness too. It is not like the properly planned environment of different control trials. People frequently go through different big data prerequisites and methods in real-world situations, which cannot be appropriately placed in RCTs. More so, the application of real-time data on present molecules gives quick time to market and later on helps in augmenting.

Pill sensors and different digital therapeutics might lessen data errors and provides a clinical edge during the clinical trials. As the drug toxicity and safety are going towards the real-time data, leading to the red flags that one would otherwise only see out, in the end, has presently become accessible earlier. It gives quality and effective data at the right time. In fact, it makes the identification of numerous signals and trends necessitate instant action considering both trial re-design and trial termination.

The major another upside of the real-time information in clinical trials is patient retention and enhancement in patient compliance when accumulating clinical pieces of evidence that are never seen earlier. The application of digital therapeutics use cases in a real-world situation while following up with the current methods. This completely different clinical data, when used in a clinical trial setting, has already started to show never before seen information on drug behavior and is quickly increasing capabilities to deliver tailored prescription therapeutics by pharma.

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Top Use Cases For Pharma Industry

Increase drug utilization and lessens the cost

Considering the increasing pressure on the operating prices, it has now become important to increase the efficiency of the complete process. One way out is the granular analysis of different metrics like drug utilization review savings, standard ingredient cost per prescription, a % of complete drug spending will aid pharmaceutical firms to make more effective choices to reduce costs and increase revenue.

It streamlines compliance.

With a stern government system rising by the day, failing to stick to the regulations can open up civil & illegal lawsuits that cannot just harm the drug maker’s status but can too result in making big payouts to settle the charges. With a multifaceted environment in which drugmakers’ work in numerous geographies and multifarious legal conditions, big data analytics can help to streamline decisions. Digital operations help can help human workers to handle their everyday tasks and give alerts, to lessen the risk of failures.

Make targeted medications and personalize it

Everyone has a different genomic makeup, and ideally, every medicine must be customized as per the person’s needs. But, it gets challenging practicing different technology and biology to make effective choices. Here, big data technology can easily help you tackle such issues by combining data of genomic sequencing, one’s medical sensor information, and other electronic medical information. By adequately using big data technologies, pharmaceutical firms can see different patterns and make more personalized and effective medications for their patients.

Speeds up the drug development process and discovery

The amount and efforts it takes to introduce new drugs into the market are very big and time-consuming, which led pharmaceutical experts to look out for the ways to accelerate the process of adding new drugs. Via sifting through immense datasets of research papers, scientific publications, group data, and other different algorithms, pharma firms can now make smarter decisions and accelerate the whole data discovery process. Invention and innovation are going to be the major aspects leading to a better financial process.

How Can Pharma Companies Set To Change In The Future?

In order to real maximum benefits, a practical approach to mobilization is required. Proper analytics gives real benefits to accumulate information and make data models. But, before that, they should know how to invest their money, time, and efforts.

Today, there’s a big scope, which usually remains unfulfilled. For pharma firms, it is to integrate big data technology and produce winning strategies. Note – the scope lies in every single thing.

Try splitting data processes that can prove to be a death-knell for numerous other initiatives. Integrating active use case sprints with different management initiatives can be the key to your success. Getting the process driven by the proper leadership will further aid in breaking biases and notions to tackle further.

To make the most, find the best use cases, big data analytics tools and begin it in your work process. You can also get an executive to aid you in the project further. Try showing up the ROI in initial phases by picking the right use cases. This way, you will find it easier to accumulate more supporters who will later turn into believers. 

Wrapping It Up

Real-time data is indeed the future of all clinical trials. It is deemed to be the best to improve outcomes in a commercial setup. It can also be further strengthened with other tools and technology. Pharmaceutical firms are improving outcomes and augmenting working pipelines and also ushering a completely new look for trials and studies. Smart approaches and decisions on this real work information can prove to be the game changers and improve patient outcomes.

More so, it is great to know the inflection point right behind us. It does not matter where you see; you are going to see the real-world data with every medical intervention and clinical studies. From being almost non-existing as a subject less than a decade before to mainstream topic in the clinical community - it merely goes to illustrate how rapidly the healthcare system is moving.

About Author

Mahak Sharma ,Digital Strategist currently working in a renowned company offering top-notch development, design, and marketing solutions in Canada. I write only the wise ways that truly brought me to work as a Brand Strategist. My tactics drive in a way to build a strong Brand Presence and to achieve sustainable Business Growth. Capering my resolute role as an active Peta Member and environmentalist.