“Think of it as a sniffer for workflow data processes. Just as a network sniffer analyses packets traveling across a network, a new surveillance tool from researchers at the Oak Ridge National Laboratory detects “hazards” in health care data — forms that haven’t processed as expected, appointments that have been cancelled in error, etc. — that can make it difficult for an agency to efficiently fulfill its mission.”
“The tool, which doesn’t yet have a name, is being developed in cooperation with the Department of Veterans Affairs, and its first implementation is monitoring the department’s health care data system. The program can scan data for more than 1 million patients and push error alerts to the VA to review and address…”
“Currently ORNL’s program issues daily reports as well as a weekly ones, and VA analysts report back to the ORNL team if a potential hazard is something that should be monitored in the future.”
“So far, each process of the surveillance tool is specifically programmed. But that is about to change. Omitaomu said the tool is already being prepared for its next phase, where it will integrate machine-learning capabilities.” Read the full article here.
Source: Oak Ridge researchers developing data hazard detection tool – By Patrick Marshall, July 12, 2019. GCN.
