Your patients are protected by law. Is your AI?
HEALTHCARE
Syntrovex helps health systems and academic medical centers adopt AI without tripping HIPAA, nondiscrimination rules, or the accessibility law that protects the patients you serve.
Confidential. Direct access to the principal. Limited engagements per quarter.
A track record you can verify.
Syntrovex is a new firm. The experience behind it is not. Here is work Tonya has personally led.
An AI contract executed inside a clinical academic institution
At Penn's School of Veterinary Medicine, Tonya moved an AI vendor contract from negotiation through execution, putting governed AI-supported curriculum and analytics into real use.
Institutional AI policy, written and implemented
She has drafted and stood up AI governance policy inside a major research university, the same discipline she brings to clinical and academic medical leaders.
Legal analysis of AI bias and civil rights
A formal legal analysis of how AI tools disadvantage protected groups, the same exposure that drives nondiscrimination risk in clinical tools under Section 1557 and the ADA.
The AI Compliance Imperative in Modern Medicine
In the clinical setting, AI is no longer a future prospect but a present reality. Patient safety, regulatory compliance, and institutional liability now hinge on the rigor of AI governance. Syntrovex provides the executive-level framework necessary to bridge the gap between rapid technological adoption and uncompromising healthcare standards.
Clinical AI Services
Algorithmic Audits
Rigorous verification of clinical AI outputs for bias detection and safety validation in care delivery.
HIPAA-Ready AI Policy
Custom governance frameworks ensuring patient data privacy and strict adherence to healthcare regulations.
Clinical Risk Assessments
Deep-dive evaluations of automated clinical systems to identify systemic gaps and safety vulnerabilities.
Governance Implementation
Hands-on partnership to activate policy, train clinical staff, and transition to compliant AI operations.
AI Governance Offerings
Institutional AI Risk Assessment
A review of your AI footprint across clinical and administrative units, measured against HIPAA and the NIST AI Risk Management Framework.
AI Policy & Framework Design
Board-ready and accreditor-ready AI policy that holds up to the HHS Office for Civil Rights, your accreditors, and your counsel.
Clinical AI Bias & Accessibility Review
Evaluation of diagnostic, triage, and patient-facing AI for bias and accessibility under Section 1557, Section 504, and the ADA.
Vendor & BAA Governance
AI and data terms for your health IT vendors, business associate agreements, and the third-party AI risk you already carry.
Regulatory DNA
Legal training
Master of Law in Technology and Intellectual Property from Penn Carey Law School, with a Law Certificate in AI Ethics, Policy and Governance.
Operational experience
Regulatory experience
18 years running technology and vendor governance inside a major research university and its school of veterinary medicine, including AI contract execution.
Eight years at NASDAQ PHLX reviewing registrations under SEC and FINRA rules. Governance grounded in how regulators actually read documentation.
Without a governance framework
AI tools adopted by clinicians, staff, and vendors with no inventory and no policy.
Protected health information moving through AI systems no one reviewed against HIPAA.
Diagnostic and triage tools in use with no check for bias against protected patients.
Accessibility gaps in patient-facing AI under Section 504 and the ADA.
No named owner when HHS, an accreditor, or a patient starts asking.
With Syntrovex
An AI use inventory across clinical, administrative, and research settings.
A governance framework mapped to HIPAA and the NIST AI Risk Management Framework.
Clinical and triage tools reviewed for bias under Section 1557 and the ADA.
Business associate and vendor AI terms built into procurement.
A named accountable owner with a documented review cycle.
Why Syntrovex for Healthcare
Practitioner in a clinical academic environment
18 years inside the University of Pennsylvania, including its School of Veterinary Medicine, a clinical and academic setting with patient data, vendor governance, and live AI adoption.
Legal grounding
Master of Law in Technology and Intellectual Property from Penn Carey Law School, with a Law Certificate in AI Ethics, Policy and Governance.
Bias and civil-rights expertise
Deep focus on how AI tools disadvantage protected groups, work that maps directly onto algorithmic bias in clinical decision tools under Section 1557.
A regulator's eye
Eight years reviewing registrations under SEC and FINRA rules, so documentation is built the way oversight bodies actually read it.
Why Leaders Choose Syntrovex for Healthcare AI
Regulatory Precision
We bridge the gap between clinical innovation and mandatory compliance, ensuring your AI strategy aligns with HIPAA, NIST frameworks, and evolving FDA clinical guidance.
Algorithmic Safety
Clinical AI requires more than general oversight. We implement rigorous bias detection and patient safety protocols that maintain medical integrity and civil rights standards.
Executive Decision Clarity
We empower healthcare boards and senior counsel with defined AI decision rights, mitigating secondary liability and ensuring leadership remains in control of institutional risk.
Is your clinical AI compliant?
Ensure your patient data processing meets all current clinical AI governance and regulatory standards.
Get started in 3 easy steps.
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Send a note
Email tonya@syntrovex.com with a few lines about your organization and what is prompting the conversation.
Scoping conversation
Fixed-scope proposal
A focused call to understand your environment, your exposure, and your stakeholders.
Clear scope, timeline, and investment. No open-ended retainers to start.
Govern your AI before HHS, an accreditor, or a patient asks how.
Syntrovex accepts a limited number of engagements per quarter. Confidential, with a response from the principal, not a sales team.
Secure your path to AI excellence.
Connect with our healthcare AI governance experts to discuss regulatory compliance, patient safety frameworks, and ethical AI integration. Our principal-led approach ensures executive-level clarity for your institution's digital roadmap.