April S. Liang, Fatemeh Amrollahi, Yixing Jiang, Conor K. Corbin, Grace Y. E. Kim, David Mui, Trevor Crowell, Aakash Acharya, Sreedevi Mony, Soumya Punnathanam, Jack McKeown, Margaret Smith, Steven Lin, Arnold Milstein, Kevin Schulman, Jason Hom, Michael A. Pfeffer, Tho D. Pham, David Svec, Weihan Chu, Lisa Shieh, Christopher Sharp, Stephen P. Ma, Jonathan H. Chen
SmartAlert, a machine learning-driven clinical decision support system, successfully reduced unnecessary repeat lab tests in hospitals by 15% without compromising patient safety.
SmartAlert is a new tool that helps doctors decide when lab tests, like blood tests, might not be necessary. This system uses machine learning to predict when test results are likely to stay the same, so doctors can avoid doing repeat tests that don't add new information. In a study involving two hospitals, SmartAlert reduced unnecessary blood tests by 15% without affecting patient safety. The project also highlighted the importance of working with healthcare staff to ensure the system fits well into their workflow and meets their needs.
