Choi, JimmyLysaker, Paul H.Bell, Morris D.Dixon, LisaMargolies, PaulGold, MatthewGolden-Roose, ElizabethThime, WarrenHaber, Lawrence C.Dewberry, Michael J.Stevens, MichaelPearlson, Godfrey D.Fiszdon, Joanna M.2019-06-242019-06-242017-11Choi, J., Lysaker, P. H., Bell, M. D., Dixon, L., Margolies, P., Gold, M., … Fiszdon, J. M. (2017). Decisional Informatics for Psychosocial Rehabilitation: A Feasibility Pilot on Tailored and Fluid Treatment Algorithms for Serious Mental Illness. The Journal of nervous and mental disease, 205(11), 867–872. doi:10.1097/NMD.0000000000000747https://hdl.handle.net/1805/19656This study introduces a computerized clinical decision-support tool, the Fluid Outpatient Rehabilitation Treatment (FORT), that incorporates individual and ever-evolving patient needs to guide clinicians in developing and updating treatment decisions in real-time. In this proof-of-concept feasibility pilot, FORT was compared against traditional treatment planning using similar behavioral therapies in 52 adults with severe mental illness attending community-based day treatment. At posttreatment and follow-up, group differences and moderate-to-large effect sizes favoring FORT were detected in social function, work readiness, self-esteem, working memory, processing speed, and mental flexibility. Of participants who identified obtaining a General Education Diploma as their goal, 73% in FORT passed the examination compared with 18% in traditional treatment planning. FORT was also associated with higher agency cost-effectiveness and a better average benefit-cost ratio, even when considering diagnosis, baseline symptoms, and education. Although the comparison groups were not completely equivalent, the findings suggest computerized decision support systems that collaborate with human decision-makers to personalize psychiatric rehabilitation and address critical decisions may have a role in improving treatment effectiveness and efficiency.en-USPublisher PolicyComputerized decision support systemSchizophreniaPersonalized treatmentHealth informaticsClinical decision-makingArticle