Why We Made TDScreen Free: A CEO’s Perspective on Democratizing Mental Health Screening

TDScreen AI-powered TD screening tool interface showing patient assessment dashboard

Last week we announced the launch of TDScreen – our AI-powered Tardive Dyskinesia (TD) screening tool. The response has been immediate and overwhelming, validating everything we believed about the urgent need for accessible TD screening.

This is exactly why we built TDScreen.

The Hidden Crisis in Plain Sight

Let me share some numbers that keep me up at night:

  • At least 500,000 Americans suffer with Tardive Dyskinesia
  • Only 20% of those  have been diagnosed
  • That’s a 80% diagnosis gap

But here’s what those statistics don’t capture: Each untreated case represents someone whose involuntary movements might be dismissed as nervousness, aging, or “just a quirk.” Someone who might stop taking life-changing medications because they’re embarrassed by movements that could be managed. Someone whose quality of life is quietly deteriorating while effective treatments exist.

Why Traditional Screening Fails

The standard AIMS assessment takes 15-20 minutes of specialized clinical time. For a psychiatrist seeing 20-30 patients daily, screening everyone quarterly (as guidelines recommend) is mathematically impossible. It’s not about clinician dedication – it’s about the brutal reality of time constraints in modern healthcare.

This is where AI changes everything. TDScreen compresses expert-level assessment into a 5-minute patient self-assessment, with accuracy that actually exceeds human raters (0.89 AUC, validated in our Journal of Clinical Psychiatry study).

The Business Decision to Make TDScreen Free

We’re not in the business of gatekeeping essential healthcare tools. We’re in the business of transforming behavioral health outcomes.

Making TDScreen free isn’t charity – it’s strategy. Every provider who adopts TDScreen becomes part of our mission to modernize behavioral healthcare. Every patient who gets screened is a potential life improved. And every success story builds the foundation for our broader platform vision.

What Our TD Screening Tool Actually Does

For providers wondering about the specifics – here’s exactly what you get:

Immediate Clinical Value

  • Patient completes video assessment (smartphone, tablet, or computer)
  • AI analyzes movement patterns based on AIMS criteria
  • You receive an objective risk score with visual highlights
  • Track changes over time with quantitative data

Zero Hidden Costs

  • No subscription fees
  • No per-patient charges
  • No training requirements
  • No IT integration needed
  • Start screening in under 15 minutes

The Evidence Behind TDScreen

Our research, published yesterday in the Journal of Clinical Psychiatry, demonstrates that TDScreen achieves:

  • Superior consistency compared to human raters (Cohen’s Kappa of 0.61)
  • Validated across 350+ patients in multi-site clinical trials

This isn’t theoretical – it’s proven technology ready for clinical use today. Our partners in the study – Dr. Anthony A. Sterns, Ph.D., lead researcher on the project and CEO at iRxReminder, Dr. Owen Muir, CMO of iRxReminder, CMO and co-founder of Radial Health, and co-author of the publication, and the National Institutes of Health – provided the data and analysis that helped to create TDScreen.

The Bigger Vision

Why This TD Screening Tool Changes Everything

TDScreen is just the beginning. At Videra Health, we’re building a comprehensive AI platform that transforms how behavioral health providers deliver care. But we started with TD screening for a reason: it’s a massive, solvable problem where AI demonstrably outperforms traditional methods.

By making TDScreen free, we’re proving that AI in healthcare doesn’t have to be expensive, complex, or intimidating. It can be as simple as sending your patient a link.

Your Patients Are Waiting

If you prescribe antipsychotics, you have patients at risk for TD. Statistically, several already have symptoms. The question isn’t whether to screen – it’s whether you’ll do it the old way or the better way.

TDScreen is live, validated, and free at tdscreen.ai.

No sales calls. No demos required. No contracts to sign.

Just better care, starting today.

Join the Movement

In healthcare innovation, the best time to adopt new technology is when it’s proven but not yet universal. TDScreen has the validation (peer-reviewed research), the accessibility (completely free), and the simplicity (5-minute assessments) to transform TD screening.

The providers who adopt TDScreen today aren’t just using a tool – they’re setting a new standard of care for their patients.

Will you join us?

Start screening at tdscreen.ai

Register for TDScreen now

How AI Expands Care When Care Demands Continues to Rise

Healthcare provider using AI mental health platform on tablet while speaking with patient, illustrating how AI in mental healthcare amplifies human care

As we recognize Mental Health Awareness Month this May, we find ourselves at a critical juncture where AI in mental healthcare offers promising solutions. The need for mental health services continues to grow at an unprecedented rate, while provider shortages and burnout intensify. According to data from across the healthcare landscape, 47% of the U.S. population now lives in an area with a mental health workforce shortage, and wait times for appointments often stretch beyond three months.

At Videra Health, we’ve been tackling this challenge head-on, working with providers who face the daily reality of trying to deliver quality care despite limited resources. Our experiences have revealed a fundamental truth: we cannot simply produce more clinicians fast enough to meet the growing demand. Instead, we must find innovative ways to expand the reach and impact of our existing clinical workforce.

The Human Understanding Gap: Where AI in Mental Healthcare Makes a Difference

The core of effective mental healthcare has always been human connection and understanding. Providers need to know not just what their patients are saying, but how they’re feeling, their emotional state, and whether they’re at risk. Traditionally, this understanding has been limited to in-office interactions, creating significant blind spots in patient care journeys.

What happens when a patient struggling with depression has a difficult week between appointments? How can a substance use disorder treatment center identify which discharged patients are at risk of relapse? How do we ensure that individuals experiencing suicidal ideation are identified and supported before reaching crisis?

These questions highlight what I call the “human understanding gap” – the critical information about patient wellbeing that falls through the cracks between formal care touchpoints.

AI in Mental Healthcare: Building Bridges, Not Replacements

This is where thoughtfully designed AI systems can make a transformative difference. At Videra, we’ve seen firsthand how clinical AI can serve as a bridge that extends human care, rather than replacing it.

Our platform uses video, audio, and text assessments powered by artificial intelligence to understand patients in their own words and on their own time. By analyzing facial expressions, voice patterns, language, and behavioral indicators, we can identify signs of emotional distress, suicidal language, medication adherence challenges, and other critical indicators that might otherwise go unnoticed between appointments.

The results have been profound. In one behavioral health system implementation, we’ve seen that patients with higher engagement in post-discharge monitoring demonstrate significantly stronger recovery outcomes. Another community mental health center utilizing our technology reduced crisis alerts by 64% after just two weeks of proactive monitoring.

Amplifying Human Care, Not Replacing It

The most important lesson we’ve learned is that effective clinical AI doesn’t aim to replace human providers – it amplifies their capabilities and extends their reach. By handling routine clinical assessments and identifying at-risk patients, AI creates a force multiplier for clinical expertise, allowing providers to direct their specialized skills where they’re needed most.

For example, our automated assessment system can engage thousands of patients consistently and frequently to identify those with acute needs, before, during or after care. Our note-taking technology reduces documentation time, giving clinicians more face-to-face time with patients. And our monitoring tools provide continuous support between appointments, creating a safety net that would be impossible to maintain manually.

This clinical enhancement works alongside our workflow solutions, which address a separate but complementary need. While clinical AI focuses on assessment and insights, our workflow tools tackle the administrative burdens that consume valuable provider time.

The result is a multiplier effect on care capacity. Providers using these integrated AI-powered clinical and workflow tools can effectively support more patients without sacrificing quality of care – in fact, they can often deliver better outcomes by focusing their expertise where it’s most needed.

Looking Forward: The Future of AI in Mental Healthcare

As we look ahead, I believe we’re only beginning to tap into AI’s potential to address the growing mental health crisis. Future developments will likely include:

  • More sophisticated risk prediction models that can identify potential issues before they become crises
  • Deeper integration with treatment pathways to provide personalized care recommendations
  • Enhanced accessibility tools that break down barriers to care for underserved populations
  • Advanced training systems that help new clinicians develop expertise more quickly

At Videra Health, we’re committed to advancing these innovations responsibly, always keeping the human connection at the center of our work. Because ultimately, the goal isn’t to build AI that replaces humans – it’s to build AI that helps humans help more humans.

A Call to Action

As we observe Mental Health Awareness Month, I encourage healthcare leaders to consider how AI can extend your organization’s capacity to deliver care. The mental health crisis isn’t waiting, and neither should we.

We need to embrace tools that allow us to do more with our existing resources, reaching patients when and where they need support. By implementing AI in mental healthcare thoughtfully, we can ensure that more people receive the care they need, when they need it most.

Together, we can build a future where technology and human connection work in harmony to meet the growing demand for mental healthcare – not by replacing the invaluable work of clinicians, but by amplifying their impact and extending their reach.

Looking for more insights? Check out more on our blog.​

Read more on the blog