Posts by Aditya Karhade, MD, MBA
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Predictive Utility of Natural Language Processing Algorithms for Posterior Lumbar Fusion Patients
Aditya V. Karhade, MD, MBA, Joseph H. Schwab, MD, MS, and colleagues found free-text discharge summary notes have the greatest utility in a natural language processing algorithm for predicting the risk of readmission after posterior lumbar fusion. Progress notes had the least utility.
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Value-based Health Care: Positioning Spine Surgery Centers for Success
Aditya V. Karhade, MD, MBA, Christopher M. Bono, MD, Joseph H. Schwab, MD, MS, of the Department of Orthopaedic Surgery, and colleagues review recent progress in each of the six core areas of value-based health care and suggest how spine surgery centers can remain competitive in the years ahead.
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Adjustment for Patient-related Factors Needed When Evaluating Spine Surgeon Performance
Mass General researchers have demonstrated that when evaluating patient improvement after lumbar decompression on an individual surgeon basis, patient-related risk factors must be considered.
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Natural Language Processing Useful for Surveillance of Infections After Spine Surgery
A natural language processing algorithm developed with supervised machine learning was accurate for automated surveillance of infections requiring reoperation after lumbar discectomy.