Computer Adaptive Testing
Using Artificial Intelligence
OBERD’s methods, based on machine learning with predictive modeling, differ from those employed by the MCAT test or most other adaptive systems in their ability to produce CAT versions of existing forms. OBERD’s CAT measures produce scores that are fully interchangeable with standard instruments used today, with a 40%-60% saving in patient effort.
OBERD CAT publications
- Kane, Liam T. BS; Namdari, Surena MD, MSc; Plummer, Otho R. PhD; Beredjiklian, Pedro MD; Vaccaro, Alexander MD, PhD, MBA; Abboud, Joseph A. MD. (2020). Use of Computerized Adaptive Testing to Develop More Concise Patient-Reported Outcome Measures. VR-12 CAT in JBJS, Vol. 1, Issue 1, p e0052
- Otho R. Plummer PhD; Joseph A. Abboud MD; John-Erik Bell MD; Anand M. Murthi MD; Anthony A. Romeo MD; Priyanka Singh PhD; Benjamin M.Zmistowski MD. (2019). A concise shoulder outcome measure: application of computerized adaptive testing to the American Shoulder and Elbow Surgeons Shoulder Assessment. ASES CAT in JSES, Vol. 28, Issue 7, p 1273-1280
- Samik Banerjee, MBBS, MS (Orth), MRCS (Glasg); Otho Plummer, PhD; Joseph A. Abboud, MD; Gregory K. Deirmengian, MD; Eric A. Levicoff, MD; P. Maxwell Courtney, MD. (2019). Accuracy and Validity of Computer Adaptive Testing for Outcome Assessment in Patients Undergoing Total Hip Arthroplasty. HOOS CAT in JOA, Vol. 35, Issue 3, p 756-761
- Samik Banerjee, MBBS, MS (Orth), MRCS (Glasg); Gregory K. Deirmengian, MD; Eric Levicoff, MD; Joseph A. Abboud, MD; Otho Plummer, PhD; P. Maxwell Courtney, MD. (2020). Accuracy and Validity of Computer Adaptive Testing for Outcome Assessment in Patients Undergoing Total Knee Arthroplasty.. KOOS CAT in JOA, Vol. 35, Issue 7, p 1819-1825