Open AccessAn Expedited Diagnostic Algorithm for Lumbosacral Pain: “The Best Likelihood Scenario Approach”
Author(s) -
Stojanovic Milan P.,
Engel Andrew J.
Publication year - 2015
Publication title -
pain medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.893
H-Index - 97
eISSN - 1526-4637
pISSN - 1526-2375
DOI - 10.1111/pme.12839
Subject(s) - medicine , diagnostic test , lumbosacral joint , diagnostic accuracy , pain management , algorithm , computer science , artificial intelligence , machine learning , radiology , physical therapy , surgery , emergency medicine
The logic behind diagnostic blocks is very straightforward. What has not been determined is the way diagnostic blocks can be best used. Study Design Philosophical essay. Discussion The interventional pain management physician would serve as the diagnostic expert by efficiently determining the source of the patient's pain. Conclusion “The Best Likelihood Scenario” might improve diagnostic accuracy while decreasing societal costs.