Software strips patients' names, keeps the gory details

2019-03-02 04:10:04

NURSES’ notes on patients are a gold mine of information for medical researchers – after they’ve been painstakingly stripped of any personal information. Fortunately, new software can already match the accuracy of people working in pairs, in a fraction of the time. A team led by Roger Mark and Gari Clifford at the Massachusetts Institute of Technology have developed algorithms that use context to identify names that have not been encountered before. For example, words that follow “Mr”, “husband” or “daughter” are removed. It also deletes phone numbers, place names and dates (BMC Medical Informatics and Decision Making, DOI: