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In 2023, the healthcare industry will witness a number of emerging trends, including the accelerated adoption of artificial intelligence technology in clinical trials. While the prospects are proving promising, they also bring a new set of challenges. From concerns about potential job losses to increased regulatory complexity to a lack of cohesion between applications and systems.
In this year’s complex healthcare landscape, stakeholders face a dual task: harnessing the potential of multiple solutions while overcoming the obstacles they may pose. While there are many more challenges and predictions, I will focus on three key themes. I outline the outlook for the healthcare industry in 2024.
Artificial intelligence will enhance rather than replace
Contrary to the ongoing discussion about AI replacing jobs, the use of AI tools marks a significant acceleration of humans throughout the clinical trial lifecycle. In fact, this year and beyond, the integration of artificial intelligence in clinical operations will improve productivity and outcomes in trials, rather than replace human roles. With advanced tools such as generative artificial intelligence, human capabilities are expected to be augmented, automating routine tasks and enabling professionals to focus on the strategic aspects of their roles and engage in critical activities, such as patient-facing tasks.
Widespread adoption of generative AI will also provide research institutions with the tools to address anticipated study launch challenges at each stage of clinical trials. This includes increasing compliance with regulatory standards globally, improving coordination across multiple sites and streamlining patient recruitment. For sponsors, on the other hand, this development may translate into the ability to effectively identify and select the most appropriate specific study sites, ensure compliance with appropriate protocols, and ultimately successfully initiate new trials.
All in all, adopting AI, rather than replacing jobs, will allow professionals to optimize time and resources and participate in critical trial operations, including patient-facing activities, that benefit significantly from human input.
Accelerating clinical trial speed and agility through technology
At the heart of clinical trials is the need to obtain faster, more precise results. As more studies are expected to be conducted in hybrid and remote settings, many challenges will arise, creating significant barriers for patients, sites, and sponsors.
Throughout 2024, the ability to effectively recruit patients and connect with them personally will be a major undertaking. In addition, research centers and sponsors will work to improve the quality and efficiency of data and overall clinical trials through the use of artificial intelligence technology. These advanced tools will improve workflow, patient-facing interaction with instruments and efficient collection of research data. Strategies and solutions that provide greater trial transparency and a personalized experience for all stakeholders to optimize outcomes are critical. Artificial intelligence and data analytics, capable of analyzing the increasing volume, velocity and variety of information generated, will deliver high-level insights faster and automate actions to solve potential challenges faster.
Addressing interoperability challenges in clinical trials
With countless clinical trial technologies on the market, coupled with the rapid evolution of the clinical trial environment, healthcare professionals are challenged to track and optimize each technology employed. In this case, interoperability between experiments is critical to success.
Currently, siled systems and inefficient processes are undermining seamless collaboration. For example, sites told us they manage up to 22 different systems every day across multiple studies—a striking example of the vast array of technologies a site must interact with in order to conduct trials. Specific challenges associated with interacting with such a large number of solutions include transferring data across different systems and even the simple task of logging into each system – the more systems there are, the more time this takes.
The fragmentation of numerous technologies is reducing efficiency and jeopardizing the utilization of critical site data. As sponsors adopt new tools, we will begin to see healthcare professionals seek strategies that enable coordinated, interoperable ecosystems.
This year, we will not only witness the adoption of advanced technologies, including artificial intelligence; It will mark an era where disparate technologies stack up to integrate and connect, driving connected intelligence for users, ensuring efficient processes, improving collaboration, and ultimately enhancing the execution of impactful, patient-centered clinical trials.
At IQVIA, we are working with healthcare professionals to help them speed up clinical trial processes and improve outcomes through our state-of-the-art AI-enhanced technology solutions. We are closely monitoring the above trends to ensure we help organizations get the most value from our solutions in 2024. Learn more about how these solutions are revolutionizing experimental development here. Additionally, please contact us at OrchestrateYourTrials@iqvia.com to learn more about your clinical trial technology implementation strategy.
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