Integrating Technology for Real World Evidence to Deliver Results

The inefficiencies and costs of traditional oncology trial design are increasing rapidly. These problems, if left unsolved, hinder the success of clinical trials. For this reason, trial sponsors, investigators, and CROs are increasingly leveraging technologies like electronic health records, wearable devices, mobile devices, and powerful analytics software. These modern solutions streamline Veristat oncology trial design. They give research staff access to real-world data to make data-driven decisions. In return, clinical trials get real-world evidence about new drugs and treatments’ potential risks and benefits. This article will walk you through technological integrations that drive real-world evidence and deliver desired results in trials. 

Technological Integrations that Streamline Clinical Studies

Electronic Health Records (EHRs)

Over the past few years, oncology clinical trial design has massively transformed from paper-based data collection to electronic health records. The reason is that EHRs enhance the collection of real-time data like patient diagnoses, treatments, and administered drugs, laboratory tests, and clinical encounters. Investigators and sponsors can use this real-time data to create strategic trial plans and designs. They can also use them to execute study procedures and facilitate reliable follow-up of clinical events. As a result, trials end up with a framework to generate real-world evidence that makes randomized clinical trials efficient. That means, leveraging EHRs helps your trial achieve its full potential in different operations. But only if you overcome barriers including optimizing EHRs’ data accuracy and completeness, dealing with privacy concerns that come along with electronic health records, and tackling platform interoperability challenges.

Biosensors, Digital Health Applications, and Wearables

Research shows that 85% of U.S adults and more than 50% of the world’s population own a smartphone. Because of the growing number of smartphone users, mobile health applications enable trials to fine-tune several activities via the internet. For example, patients can enroll online, and trial staff can collect as well as monitor data in real-time. On the other hand, wearables and biosensors enable staff to continuously monitor participants’ body functions, behaviors, vital signs, and daily activities. Since all this occurs in real-time, investigators end up with digital biomarkers like step count, activity, sleep quality, and heart rate, giving them real-world evidence of a treatment or drug. While these robust technologies streamline clinical trials, not all individuals can access mobile technology. As a result, they can exclude important patient subgroups. Therefore, set infrastructure that helps patients access these technologies seamlessly. 

Analytical Software Solutions

Machine learning (ML) and Artificial Intelligence (AI) have also helped revolutionize the health industry. Leveraging them comes with huge benefits in your clinical trial. For example, ML and AI software solutions can profile potential patients based on their preferences and behavior, making it easy to include and exclude trial participants. Additionally, ML and AI provide predictive models in robust software solutions. These models help you analyze multiple data sources simultaneously to promote data-driven decisions in your clinical trial. In short, AI/ML solutions reduce the burden of on-site tracking and make operations efficient in your trial. 

Technology integrations make clinical trials efficient by fastening recruitment, collecting data in real-time, fine-tuning trial monitoring, and providing reliable predictive analysis that helps create contingency plans. Combining the above helps you generate real-world evidence to drive positive results in your business. 


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Michelle Villarreal