AI-Assisted Data Management Takes Center Stage at ACDM23
Datatrial was among the participants at the Association for Clinical Data Management (ACDM) conference held in Barcelona, Spain. ACDM23 brought together data managers, clinical trial professionals, and experts in the field of clinical data management to discuss the latest trends and advancements in the industry.
Artificial intelligence (AI) and machine learning (ML) have been hot topics at the ACDM conference for several years now. But this year, the focus has shifted. Instead of wondering if data managers will have a role in the future, the headline is now leaning towards “AI-assisted data management.” This change is due to the growing realization of the benefits of utilizing the power of technology and AI in clinical trials.
AI can identify common patterns and find discrepancies such as missing data and adverse event overlaps. While providing a list of “suggested queries” is useful, it is still the data manager, the “human in the loop,” who needs to review that list and raise the query. Despite the advancements in technology, sponsors, sites, and data managers still want to “touch” the data. They want to feel like they have some kind of interaction with the patient. Surgery robots may be efficient, but they are not programmed to have feelings for the patients. Human interaction with a patient is crucial in establishing trust and providing therapy.
However, when software takes some of the strain off the humanware, it allows the “human in the loop” to focus on what is really important – putting the patient first. With AI-assisted data management, data managers can spend more time interacting with patients and less time on tedious tasks like data entry and cleaning. At Datatrial, we develop software that takes the strain off the humanware.
Our leading electronic data capture (EDC) system, nowEDC, saves time and frees up valuable resources to focus on what is really important – the patient. While AI-assisted data management is still a relatively new concept, it is clear that it has the potential to revolutionize the clinical trial process. As technology continues to advance, we can expect to see even more sophisticated tools to assist data managers and other clinical trial professionals.
The think tank of ACDM24 will undoubtedly take the challenges and problems faced by data managers on a day-to-day basis and work through ways to solve them. In conclusion, the future of data management lies in the collaboration between humans and technology. AI-assisted data management can bring efficiencies to the clinical trial process and free up valuable resources to focus on what matters most – the patient.
