The task of matching patients with clinical trials can be made much more efficient by using automated eligibility screening, according to a study published this month in The Journal of The American Medical Informatics Association.
The researchers used data like demographics, lab data and clinical notes to select potential participants for 13 disease-specific trials. They found that the automated system reduced workload by 92%, while increasing efficiency by 450%.
The study examined a pool of over 200,000 records of patients who had attended the emergency department of the Cincinnati Children's Hospital Medical Center. The automatic selections were compared with the decisions made by two certified physicians.
It was the unstructured data in the clinical notes that seemed most valuable in increasing efficiency. This isn’t too surprising as anyone who has waded through a massive pile of job applications would know.
Data presented in simple bulleted format is easy to compare, especially in a standard form. Where people have the freedom to express themselves the process takes much longer, but this is often where the really useful information lies.
|
|
 |
|
|
Share on LinkedIn |
Share via Email |
