Posts by Aditya Karhade, MD, PhD, MBA
Web Tool Predicts Six-Week Survival After Spinal Metastasis Treatment With Surgery or Radiation
Based on a study of 4,304 patients from five institutions, Aditya Karhade, MD, MBA, Joseph Schwab, MD, MS, and colleagues developed and externally validated a model for predicting six-week mortality after surgery or radiation therapy for spinal metastases. It's been incorporated into an open-access web calculator.
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.
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.
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.
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.
Aditya Karhade, MD, PhD, MBA, is an orthopaedic surgery resident in the Department of Orthopaedics at Massachusetts General Hospital and a clinical fellow in orthopedic surgery at Harvard Medical School.