A Method to Measure Diagnostic Errors from Big Data Could be Key to Preventing Disability and Death from Misdiagnosis

In an effort to reduce patient misdiagnoses and associated poor patient outcomes from lack of prompt treatment, a Johns Hopkins Armstrong Institute for Patient Safety and Quality researcher is helping to lead the way in providing hospitals a new approach to quantify and monitor diagnostic errors in their quality improvement efforts. The approach, called Symptom-Disease Pair Analysis of Diagnostic Error, or SPADE, is featured in a paper published today in BMJ Quality & Safety.


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