Ms. Suchyta also advises digital and medical technology companies and providers on privacy and security matters. The increased use of Software as a Medical Device (MaSD) and artificial intelligence in medical technology presents unique cyber security issues as the FDA and FTC continue to implement regulatory requirements. Ms. Suchyta provides strategic advice to her medical technology clients on cybersecurity, privacy and data protection issues. She has extensive experience advising health care providers and organizations on Medicare and Medicaid reimbursement matters, including regulatory compliance, billing disputes and audit responses. She also counsels hospitals and physician groups on health plan contracting, including negotiating provider agreements, value-based reimbursement models and managed care arrangements. Ms. Suchyta has presented to national ACO organizations regarding value-based care models, including Direct To Employer arrangements.
Ms. Suchyta routinely represents telehealth providers on licensure, credentialing, privileging, online prescribing and corporate practice of medicine matters. She drafts and reviews contracts for digital health products and services and assists health care clients with security and risk analysis obligations under federal and state laws.
Janice Suchyta advises healthcare providers and medical technology companies on the legal, regulatory, and governance challenges posed by artificial intelligence in healthcare. Her practice focuses on HIPAA and data-privacy compliance, AI-enabled healthcare contracting, and risk-based governance frameworks for the development and deployment of clinical and operational AI tools. She regularly represents hospitals, physician groups, and FQHCs, as well as AI and digital health vendors, in structuring compliant data-use strategies, negotiating complex technology agreements, and addressing regulatory, reimbursement, and enforcement risk associated with AI-driven healthcare solutions.
Janice counsels clients on the development, implementation, acquisition, and commercialization of AI and machine learning technologies in the health care sector. She advises on regulatory compliance issues involving HIPAA, HITECH, state health privacy laws, data governance, cybersecurity, OCR enforcement risks, algorithmic bias, AI governance frameworks, FDA considerations, reimbursement implications, and contractual risk allocation. She also works extensively with health care providers and technology companies on AI-related vendor agreements, business associate agreements, data use agreements, software licensing, API integration arrangements, and health information exchange issues.
Her experience includes advising clients on the use of generative AI and automation technologies in clinical operations, coding and billing functions, utilization review, patient engagement, care coordination, and digital health platforms. Janice also regularly advises on privacy and security risks associated with cloud-based health applications, AI-enabled patient portals, offshore workforce arrangements, and the aggregation and use of electronic health record data.
In addition, Janice provides strategic guidance regarding AI governance and compliance program development for health care organizations, including policies relating to AI oversight, data privacy, workforce use of AI tools, cybersecurity safeguards, and responsible use frameworks. She frequently counsels clients on emerging federal and state regulation affecting AI in health care, including OCR guidance, FTC enforcement trends, state consumer privacy laws, and evolving standards relating to algorithmic accountability and automated decision-making.
A nationally recognized speaker and author on health care AI and digital health regulation, Janice regularly presents on topics involving ethical and regulatory limits on AI in medicine, HIPAA and AI compliance, digital health platform risk, reimbursement implications of AI technologies, and emerging privacy and cybersecurity obligations for health care organizations and technology vendors.
