”Can you recommend a good therapist?” Turns out, that is a very challenging question to answer. Whereas some medical fields have reasonable quality indicators (e.g., procedure complication rates, hospital readmissions), with psychotherapy it is very challenging to measure quality.
My research brings together psychotherapy experts with engineers and computer scientists to develop automated methods for evaluating and promoting high-quality counseling and therapy. To do this we rely on speech signal processing and machine learning methodologies and then present it to clinicians and patients using interactive visual summaries.
PhD, Clinical Psychology , University of Washington , 1997-2003
MA, Psychology , Stanford University , 1994-1995
BA, Psychology , Stanford University , 1990-1994
My work focuses on technology-augmented psychotherapy and behavioral interventions, where we use machine learning and user-centered design to provide fast, objective, performance-based feedback to clinicians to assist training, supervision, and quality monitoring. More generally, I’m interested in data science applications in Psychiatry and assist colleagues in designing studies and analyzing data.
Psychother Res 30(5): 591-603
Soma CS, Baucom BRW, Xiao B, Butner JE, Hilpert P, Narayanan S, Atkins DC, Imel ZE
(2020 Mar 16)
Goldberg SB, Tanana M, Imel ZE, Atkins DC, Hill CE, Anderson T
(2020 Mar 4)
JMIR Res Protoc 9(3): e18241
Lyon AR, Munson SA, Renn BN, Atkins DC, Pullmann MD, Friedman E, Areán PA
Am J Prev Med 58(3): 316-331
Harris RP, Helfand M, Woolf SH, Lohr KN, Mulrow CD, Teutsch SM, Atkins D, Methods Work Group, Third U.S. Preventive Services Task Force.
Behav Ther 51(1): 113-122
Goldberg SB, Baldwin SA, Merced K, Caperton DD, Imel ZE, Atkins DC, Creed T
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