In a July 7 HIMSS TV segment, Dr. Alexander "AJ" Blood, a cardiologist at Brigham and Women's Hospital, said Mass General Brigham is using an AI tool called RECTIFIER to identify clinical trial participants. The approach can accelerate the discovery of new treatments by speeding up patient recruitment.
How RECTIFIER works
Dr. Blood said the tool combs through electronic health records and flags patients who match specific trial criteria. RECTIFIER automates what has traditionally been a manual, time-consuming process. By reducing the administrative burden, it lets research teams focus on patient care and study design.
The clinical trial recruitment bottleneck
Finding the right participants is one of the biggest hurdles in medical research. Many trials are delayed or fail because enrollment targets are not met. AI tools like RECTIFIER can sift through thousands of records in minutes, identifying candidates that might otherwise be overlooked. This is especially critical for rare diseases, where patient populations are small and scattered.
Healthcare professionals can learn more about similar applications through AI for Healthcare Courses, which cover the practical use of AI in clinical settings.
Why this matters for healthcare professionals
For clinicians, the tool means fewer delays in trial enrollment and more patients gaining access to experimental therapies. For researchers, it cuts the time spent on manual screening. As AI becomes more embedded in hospital systems, familiarity with these tools will be a growing part of the job. Understanding how RECTIFIER works-and the data it relies on-prepares teams to integrate similar systems into their own workflows.
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