OBJECTIVES: Applying communimetric outcomes monitoring, analysis, and decision-support algorithms to locally validated decision-support tools for psychologist evaluators to improve clinical outcomes for youth with serious emotional disturbance (SED). METHODS: From 11/2013–10/2015, psychologist evaluators prescribing youth behavioral health services were provided with DataPool™, a cloud-based data analytic platform for analyzing Child and Adolescent Needs & Strengths (CANS) assessment data.  In July 2014, DataPool™’s communimetrics-based, decision-support algorithms were used to: stratify subjects into four risk/severity-scored cohorts (1 [low] to 4 [high]); identify subjects benefiting from treatment-as-usual (TAU) or more specialized levels of care based on their clinical profiles; and monitor outcomes system-wide.  RESULTS: Subjects were youth (mean age, 7; range, 3-21) with SED (±autism), primarily male (70%) and Caucasian (63%), with local minority concentrations (black, 15%; Asian 2%; other, 20%;  Latinos, 18%), living in seven Pennsylvania counties. Treatment trajectories for youth in different severity cohorts differed dramatically; subjects beginning treatment with lower severity scores showing progressively worse outcomes over time, whereas subjects beginning treatment with higher severity scores showed improved outcomes.  Only 5% of children matched for evidence-based treatment (scores 1-2) at baseline were receiving the appropriate level of care. After utilization of the algorithms from 8/2014–10/2015, the proportion of subjects in the TAU population with score 3 and 4 significantly increased from 48% to 65% (P<0.05), with a concomitant increase in use of evidence-based programs for the low-risk cohort (9%; P<0.05).  This improved prescribing pattern resulted in an 11% decrease in payer expenditures per subject per month without a concomitant rise in emergency services. CONCLUSIONS: DataPool™ was effective in stratifying subjects into risk/severity-based, CANS-assessed cohorts recording distinct care responses, thereby augmenting the prescribing effectiveness of psychologist evaluators by providing the appropriate level and intensity of evidence-based care for subjects at different risk/severity levels, and contributing to system-wide cost savings.