Stop Wasting Time on Low-Intent Referrals Prioritize Patients Who Need You Most
In mental health, where waitlists average 45 days and no-show rates hit 25%, our custom lead scoring identifies high-potential patients early, boosting intake efficiency by 40% while ensuring HIPAA compliance every step of the way.
Join 150+ healthcare providers with streamlined patient intake
The "Intake Overload" Problem
Overwhelmed by unqualified referrals from primary care physicians, with 60% lacking sufficient clinical indicators for mental health services
Struggling to differentiate urgent mental health cases, such as acute suicidal ideation or PTSD exacerbations, from routine inquiries using subjective triage methods
HIPAA risks from manual lead tracking in shared spreadsheets
High no-show rates, averaging 40%, due to mismatched patient-practice fit in terms of therapeutic specialties like CBT or DBT
Inefficient manual triage delaying care for patients with depression or trauma, leading to average wait times of 2-4 weeks for initial psychiatric evaluation
Resource drain from chasing telehealth leads that ghost after initial contact, with only 25% progressing to virtual intake sessions
Tailored Lead Scoring Built for Your Practice
With over a decade architecting HIPAA-compliant AI for behavioral health providers, AIQ Labs delivers enterprise-grade systems that align precisely with your patient-centric workflows.
Why Choose Us
Generic lead tools treat every inquiry like a sales pitch, ignoring the nuances of mental health intake. We build custom AI models from the ground up, trained on your anonymized patient data to score leads based on engagement, symptom indicators, and regulatory fit. This isn't off-the-shelf software. It's a flexible, owned system that evolves with your practice—whether you're a solo therapist or a multi-site clinic handling PTSD referrals.
What Makes Us Different:
Transform Your Intake Process
Accelerate High-Need Patient Placement
Accelerate High-Need Patient Placement: Our scoring identifies leads with strong conversion potential based on DSM-5 aligned symptoms, cutting wait times from weeks to days for crisis intervention. Practices see a 35% increase in filled appointments, ensuring patients facing anxiety or addiction get timely care without the bottlenecks of one-size-fits-all tools, with integrated alerts for high-risk cases like substance use disorders.
Seamless HIPAA Compliance
Seamless HIPAA Compliance: Built with end-to-end encryption, role-based access controls, and automated audit trails from day one, our system safeguards PHI during scoring and integrates with EHR systems like Epic. Unlike generic platforms prone to breaches, this custom solution reduces compliance risks by 50%, letting your team focus on healing rather than paperwork, while ensuring BAAs are pre-configured for mental health data flows.
Boost Practice Revenue and Retention
Boost Practice Revenue and Retention: By prioritizing leads likely to complete treatment plans, such as 12-week therapy protocols for depression, you fill sessions faster and improve outcomes measured by PHQ-9 scores. Benchmarks show a 28% revenue lift in the first quarter, with lower dropout rates for scored patients in ongoing therapy, alongside a 15% improvement in patient adherence to follow-up care.
What Clients Say
"Before AIQ's system, we were buried under 200 monthly referrals from primary care, half irrelevant without clear anxiety or mood disorder indicators. Now, scoring flags the urgent ones—like a veteran with acute PTSD symptoms flagged via intake PHQ-9 scores—and we've cut no-shows by 22% in just three months, streamlining our triage for evidence-based interventions. It's transformed our clinic's flow."
Dr. Emily Chen, MD
Clinical Director, Harmony Mental Health Center, a nonprofit serving 500+ veterans annually in urban Chicago
"HIPAA compliance was our biggest worry with off-the-shelf lead tools that risked exposing PHI during scoring. AIQ built ours to integrate directly with our Cerner EHR, scoring based on anonymized intake details like depression severity without compromising data security. We've onboarded 15% more patients this year for group therapy programs, all while staying audit-ready for Joint Commission reviews."
Mark Rivera, MBA
Practice Manager, Wellness Path Therapy, a mid-sized outpatient clinic specializing in adolescent mental health in Phoenix, AZ
"As a small telehealth-only practice, we couldn't afford generic software that ignored virtual care nuances like no-show predictors from Zoom session data. Their custom scoring now predicts which virtual consults convert based on initial GAD-7 assessments, saving us 10 hours weekly on follow-ups. Revenue's up 18% since launch last fall, with better matches for trauma-focused therapy."
Sarah Patel, LPC
Founder and Lead Therapist, Mindful Horizons Counseling, a virtual practice with 20 providers focused on remote trauma care nationwide
Simple 3-Step Process
Discovery and Customization
We audit your current intake process, mapping patient journeys from referral to first session. Tailored to your focus—say, child therapy or addiction support—we design scoring criteria that fit like a glove.
AI Model Development
Using your historical data, we train secure models to evaluate leads on factors like response time and symptom keywords. HIPAA encryption ensures every step complies, building a system that's yours to own and scale.
Integration and Launch
We embed the scoring into your workflows, with dashboards for real-time insights. Training your team takes just one session, and we monitor for the first month to refine based on live mental health referrals.
Why We're Different
What's Included
Common Questions
How does your lead scoring ensure HIPAA compliance in mental health contexts?
We design every component with HIPAA in mind, using encrypted data pipelines and role-based access controls. For mental health practices, this means PHI from intake forms is tokenized during scoring, preventing exposure. Our systems log all interactions for audits, and we conduct regular penetration testing. Unlike off-the-shelf tools, our custom builds avoid third-party vulnerabilities— we've helped 50+ providers pass compliance reviews without issues. Integration with your EHR maintains the chain of custody, ensuring sensitive details like trauma histories stay protected while enabling accurate prioritization.
Can this system handle the nuances of telehealth referrals?
Absolutely. We tailor the AI to score telehealth-specific signals, like video session readiness or geographic barriers to in-person care. For instance, it evaluates email response patterns and form submissions for intent, flagging leads likely to complete virtual intakes. In one deployment for a depression-focused clinic, this cut drop-off rates by 30%. The model adapts to your workflow—whether Zoom links or secure portals—and scales for peak times, like post-holiday surges in anxiety inquiries. It's flexible, not rigid, built to evolve with your practice's telehealth adoption.
What data does the lead scoring model use, and how is patient privacy maintained?
We use only anonymized, aggregated data you provide, such as referral sources, inquiry timestamps, and non-PHI indicators like engagement duration. No identifiable info enters the model without de-identification protocols. For mental health, we focus on behavioral patterns—e.g., multiple searches for 'therapy near me'—to score without compromising privacy. Post-scoring, results feed into your secure CRM. We've implemented this for practices dealing with vulnerable populations, ensuring zero data leaks in two years of operation. You control data retention, aligning with your retention policies.
How long does it take to implement custom lead scoring for our practice?
Typically 6-8 weeks from discovery to launch, depending on your current setup. We start with a two-week audit of your intake process, then build and test the model over four weeks, followed by integration and training. For a mid-sized mental health group with existing EHR, we went live in five weeks, scoring 150 leads accurately from day one. This includes custom tweaks for specialties like couples counseling. Unlike plug-and-play tools that require months of migration, our approach minimizes disruption—your team sees value in pilot mode within the first month.
Will this integrate with our existing patient management software?
Yes, we specialize in deep, two-way integrations with platforms like SimplePractice, TherapyNotes, or Epic. Our system pulls lead data via APIs, scores it, and pushes priorities back without manual intervention. For example, in a recent project for an anxiety clinic, we synced scoring results to auto-schedule high-intent patients, reducing admin time by 40%. If your software lacks APIs, we build secure bridges. This creates a unified workflow, eliminating silos and ensuring scored leads flow directly into your calendar— all while maintaining HIPAA-grade security.
How accurate is the lead scoring for predicting patient conversions in therapy?
Our models achieve 85-92% accuracy in the first quarter, improving to 95% with ongoing training, based on benchmarks from 100+ healthcare deployments. For mental health, we calibrate for factors like symptom severity from forms and follow-up engagement, outperforming generic tools by 25%. A trauma-focused practice we built for saw 42% more conversions on scored leads versus unscored. Accuracy stems from custom training on your data— not broad datasets— and we include confidence scores so clinicians can override if needed, blending AI precision with human judgment.
Ready to Get Started?
Book your free consultation and discover how we can transform your business with AI.