New Solutions for Unstructured Data May Help With Clinical Laboratory and Anatomic Pathology Data
Existing unstructured anatomic pathology reports would directly benefit from novel word disambiguation approach under development at MIT
Unstructured medical laboratory data is widely recognized to be one significant hurdle on the path toward the universal electronic health record (EHR). This is particularly true for anatomic pathology reports. Despite advances in synoptic reporting, to date, few pathology groups and clinical laboratories have developed ways to resolve this problem.
Now there is news of a different approach toward unstructured healthcare data. Researchers at the Massachusetts Institute of Technology (MIT) have developed a system for algorithmically distinguishing words with multiple possible meanings. The new approach could help find useful information buried in electronic medical records (EHR). (more…)
