AI’s Last Mile: Low Hurdle or Brick Wall for CIOs, CISOs, and CAIOs?
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The transformative power of AI in healthcare is undeniable.
Yet, for many Chief Information Officers (CIOs), Chief Information Security Officers (CISO), and Chief AI Officers (CAIOs), the last mile of AI testing and adoption feels less like a final step and more like a brick wall.
As a result, promising AI innovations face significant roadblocks on the path to commercial adoption.
The Barriers to AI Adoption
The "brick wall" of adoption often comes down to four key challenges:
- Lack of Real-World Validation: Many AI models aren't tested on real-world data, raising critical questions: How will this solution perform in my environment? Even models with strong general performance can falter without localized testing/validation.
- Patient Privacy Concerns: Traditional methods like de-identification or synthetic data don't fully address the need for validating localized performance. Securing approvals to access real-world data can be time-consuming—if it's even possible.
- Insufficient Intellectual Property (IP) Protection: AI developers are understandably cautious about deploying models in customer environments without robust IP safeguards. When potential customers are unable to share their real-world data, the only way to test an algorithm is to deploy it in the customer’s environment where the algorithm IP is typically unprotected. This fear of exposure slows down adoption.
- Deployment Complexities and Risks: Integrating AI into electronic health records (EHRs) and clinical workflows is technically and operationally complex. Limited IT resources, regulatory hurdles, and models not designed for seamless integration further complicate the process.
EscrowAI: Turning the Brick Wall into Low Hurdles
EscrowAI’s privacy enhancing protections address the key challenges to enabling faster, safer AI adoption:
- Real-World Testing & Validation: EscrowAI lets you test AI models directly on your clinical data without sharing your data outside of your organization. Our automated confidential computing platform enables real-world testing and validation on data from your environment without exposing the data to the algorithm developer. This allows you to efficiently try-before-you-buy, evaluate a model for your specific deployment, and understand any workflow optimizations needed to maximize AI’s real world impact in your organization.
- Robust Patient Privacy Safeguards: Patient data never leaves your secure environment. EscrowAI protects sensitive information using encryption at rest, in transit, and, uniquely, during the compute cycle. The platform integrates and automates the use of multiple privacy-enhancing technologies, including confidential computing and is SOC 2-certified.
- Comprehensive IP Protection: With EscrowAI, intellectual property is protected at every stage—at rest, in transit, and during computation. The model is never exposed, eliminating the developer’s concern about IP exposure during testing and deployment.
- Regulatory Compliance: EscrowAI ensures compliance with HIPAA, GDPR, state-level regulations, and the EU AI Act. We fiercely protect your data while unleashing secure AI innovation in your environment.
- Accelerated Deployment: By minimizing legal, technical, and security hurdles, EscrowAI helps CIOs and CAIOs quickly evaluate AI's impact on their organizations. Plus, our platform offers ongoing IP and privacy protections and model performance evaluation capability post-deployment.
- Comprehensive IP Protection: With EscrowAI, intellectual property is protected at every stage—at rest, in transit, and during computation. The model is never exposed, eliminating the developer’s concern about IP exposure during testing and deployment.
Let’s Connect at ViVE and HIMSS
Healthcare AI adoption shouldn't feel like you’re hitting a brick wall. If you’re attending ViVE in Nashville or HIMSS in Las Vegas, we'd love to meet and discuss how EscrowAI can help your organization securely test and validate AI solutions, paving the way for real-world impact.
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