For independent psychiatrists and clinical psychologists
Leave session notes, scales and tracking to Nuveflow. You focus on your patient.
Session summaries, PHQ-9 / GAD-7 results, risk alerts and patient tracking. All in one place, automatically.
Walk into every session prepared. Focus on understanding your patient, not writing notes.
Automatic pre-session briefing
SOAP note ready in seconds
Scale trends and risk alerts on one screen
Track patient progress long-term
- Built in Turkey
- Privacy-first
- Free one-on-one demo
How it works
Leave three critical moments of your clinical workload to Nuveflow
Pre-session prep, scale tracking, risk alerts and session notes automate in one flow. You focus on clinical assessment and your patient.
PRE-SESSION BRIEFING
Walk into every session knowing your patient's current state.
Scale changes, last-session summary and points to watch are ready before the session begins.
Emily R.
Last 14 days
Right information at the right time
Automatic Scoring
PHQ-9, GAD-7, PCL-5 and 8+ clinical scales. Instant results, automatic reporting.
Smart Alerts
Instant notifications for critical situations. Risk scores calculated automatically.
Trend Analysis
Visualize treatment progress. Track improvement easily.
Easy to Use
Patients complete in 60 seconds. 89% completion rate.
Built on Scientific Evidence
Peer-reviewed research: measurement-based care roughly doubles reliable improvement among at-risk cases, and one randomized trial reported a 73.8% remission rate.
Backed by peer-reviewed research and international clinical trialsGlobal Standards
Validated by APA and WHO with DSM-5 and ICD-11 compliant international standard assessments
Proven Tools
PHQ-9 (Cronbach α=0.89) and GAD-7 (Cronbach α=0.92) — validated by Kroenke et al. and Spitzer et al.
Strong Evidence
Randomized controlled trial: 73.8% remission with MBC vs 28.8% with standard care (Guo et al., 2015)
Continuous Innovation
Continuously updated protocols based on international APA guidelines and current research
Scientific References
- [1] Lambert MJ (2013). "The Efficacy and Effectiveness of Psychotherapy." Bergin & Garfield's Handbook of Psychotherapy and Behavior Change, 6th ed. Wiley.
- [2] Slade K, et al. (2008). "Improving Psychotherapy Outcome: The Use of Immediate Electronic Feedback and Revised Clinical Support Tools." Clinical Psychology & Psychotherapy. 15(5):287-303. doi:10.1002/cpp.594
- [3] Guo T, et al. (2015). "Measurement-Based Care Versus Standard Care for Major Depression: A Randomized Controlled Trial With Blind Raters." American Journal of Psychiatry. 172(10):1004-1013.
- [4] Bohanske RT & Franczak M (2010). "Transforming Public Behavioral Health Care: A Case Example of Consumer-Directed Services, Recovery, and the Common Factors." APA Handbook of Clinical Psychology.
- [5] Fortney JC, et al. (2017). "A Tipping Point for Measurement-Based Care." Psychiatric Services. 68(2):179-188. doi:10.1176/appi.ps.201500439
"I can finally see what happens between sessions. The trend data has completely changed how I prepare for appointments."
Dr. Michael Chen
Clinical Psychologist • California
Early Adopter Program
Get your invitation and start professional mental health tracking with personalized onboarding support.
Exclusive Invitation Program
Join our waitlist for exclusive access to the premium mental health platform
Personal Onboarding
Receive one-on-one setup and training support from our experts
Early Access
Be among the first to experience new features before they launch
Premium Support
Priority technical support and exclusive consultation services
Exclusive access is provided with limited invitations
Collect, Share, Act
An evidence-based clinical framework developed by the Yale Measurement-Based Care Collaborative
Barber & Resnick, Psychological Services, 2023 ↗Collect
Administer standardized measures aligned with treatment goals at regular intervals. Explain the purpose to patients — those who understand the process engage more and see better results.
Built on Published Research
Nuveflow is grounded in peer-reviewed research from leading universities worldwide
Measurement-based care has reached a tipping point in mental health. Frequent and timely feedback of patient symptoms to providers significantly improves treatment outcomes.
In the STAR*D trial using measurement-based care, 47% of patients achieved 50% or greater reduction in symptoms — in real-world clinical settings.
Routine outcome monitoring cuts patient deterioration in half. A meta-analysis of 2,042 patients showed significant effect sizes (r=0.23-0.33) for feedback systems among at-risk patients.
Based on research from Johns Hopkins, BYU, and 25,000+ peer-reviewed studies
Frequently Asked Questions
Everything you need to know about measurement-based care
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Location
United States