Research & Whitepapers
Science that drives real-world results.
Everything we build is rooted in behavioral science and clinical psychology. We pursue consistent, meaningful results - not just what works once. Our research base spans validity testing, multi-method analysis, and independent peer review.
Rigorously Validated
Built on independent science, not assumptions.
Care Predictor's tools are tested for behavioral and psychometric validity - cross-validated across multiple independent samples to ensure accuracy, consistency, and equity. Our assessments are unbiased, reliable, and replicable across diverse practitioner populations. Our commitment to quality data drives outcomes in behavioral healthcare.
Case Studies
From startups to national providers, results that speak for themselves.
These organizations use Care Predictor to power their employee performance, engagement, and development.
Revenue Cycle Management Impact
How Zealie increased authorized billing days per treatment episode.
Zealie implemented the Care Predictor to identify staff strengths and weaknesses. Employees scoring 80+ on the CPI averaged 3 more authorized billing days per treatment episode, generating an estimated $2.1M in additional annual revenue for their clients.
Download PDFPsychiatric Hospital Use of Pre-Hire Care Profiles
How Ocean View improved treatment completion and reduced AMA rates.
Ocean View Psychiatric Health Facility implemented the Care Predictor across its clinical team. Providers scoring ≥70 on the CPI delivered a +6.8% higher treatment completion rate and −4.3% lower AMA rate, modeling ~$211,710 in incremental revenue — a 5% revenue lift.
Download PDFResidential Behavioral Healthcare
How Alter Behavioral Health achieved a 32% improvement in treatment completion over four years.
Alter BH used Care Predictor to track provider performance longitudinally from 2022–2026. Completion rates rose 19 percentage points (32% relative improvement), AMA rates fell 57%, and care-driven revenue grew by over $4.3M — all while holding caseload constant.
Download PDFAMA Rate Impact Correlation Analysis
The Impact of the Care Predictor on Key Performance Indicators.
Across 30 therapists at 4 treatment centers, higher CPI scores correlated positively with treatment completion (+0.45) and client satisfaction, and negatively with AMA rate (−0.66) and depression/anxiety symptoms. Clinicians scoring ≥70 generate $720,000 more in annual revenue than those below 70.
Download PDFThought Leadership
Where data, science, and compassion advance behavioral health.
Predicting Success: How Care Predictor Identifies High-Performing Therapists
Published June 2025
An empirical review of the 26 personal attributes underlying the Care Predictor index, and how they correlate with client outcomes across behavioral health settings.
Download PDFThe Impact of Therapeutic Alliance on AMA Rates
Published November 17, 2025
Peer-reviewed research exploring the relationship between therapist relational characteristics and appointment no-show rates in outpatient behavioral health programs.
Download PDFQuantifying the ROI of the Supportive Care Predictor Index on Behavioral Health Revenue Cycle Management
Published June 15, 2026
This exploratory study examined whether the relational capabilities of behavioral health utilization review staff are associated with operational and financial performance. Among 2,851 cases, representatives with higher Care Predictor scores authorized more treatment days per case, suggesting that stronger relational skills may contribute not only to better care interactions but also to increased treatment authorization and organizational revenue.
Download PDFPredictive of Job Performance
A model built on empirical research.
Care Predictor generates predictive scores based on 24 relevant personal attributes identified through empirical research. These scores indicate care providers more likely to establish collaborative relationships, benefiting both clients and colleagues. The tool's predictive validity stems from its foundation in established research linking specific therapist characteristics to alliance formation and treatment outcomes.
The system incorporates machine learning designed to provide real-time iterative improvements as additional data becomes available - ensuring continuous refinement of predictive accuracy while maintaining the tool's scientific foundation.
11,283
Assessments sent to behavioral health providers
4+
Years of longitudinal outcome data
84
Current number of clients using Care Predictor
4,600
Current users on the platform
The Science Behind It
The academics behind the Care Predictor assessments.
In 2021, Dr. Loren Martin, Ph.D. in Neuroscience, spearheaded a scientific and in-depth exploration of the factors that drive success in behavioral healthcare. In his extensive research he independently spent over 3,000 hours developing the Care Predictor Index.
This work was then rigorously reviewed and validated by a distinguished panel of clinical academics who brought expertise spanning psychology, medicine, and organizational science.
Validation Panel
Independent academic reviewers
- Amanda Powers, PsyD
- Sally Fors, PsyD
- Roger Hawkins, PhD
- Jason Lines, DM
- Diana Lee, MA
- Joyce Khed, MA
- Alyssa Mouthy, MA
- George McHale, MA
- Susan Himmelstahl, MA
- Maria Dominguez, MD
Let's Talk
Want to see the research applied to your team?
Book a conversation with our team and discover how Care Predictor's science translates into better hiring, engagement, and outcomes for your organization.