During Data Privacy Week, healthcare leaders have the chance to go beyond awareness messaging. They can closely examine how patient data is accessed, shared, and protected. Healthcare data privacy often focuses on compliance through policies, training, and regulations. However, the real risk comes from how data flows across systems, vendors, and people in the interconnected healthcare environment.
This shift in perspective sets the stage for examining how authorized data use, technology innovation, and daily operational realities are raising new privacy concerns.
When “Authorized Access” Becomes a Privacy Risk
Recent legal action involving Epic and multiple health systems against Health Gorilla and other data companies shows that sharing patient data for legitimate reasons can still create privacy risks. When governance fails, patient records accessed through interoperability connections may be used in ways patients did not consent to. This raises important questions about proper use, oversight, and accountability.
The takeaway for healthcare leaders is not about the specifics of any single lawsuit. It is about a broader pattern: access that is technically authorized is not always privacy appropriate. As healthcare expands interoperability and data sharing, privacy risk increasingly stems from how access is governed over time, not just whether access exists.
AI, Innovation, and the Limits of Traditional Privacy Protections
Artificial intelligence tools are entering healthcare workflows rapidly—often faster than policies and governance can keep up. Recently, OpenAI has stated said ChatGPT will not use health information to train its models by default. This move shows growing awareness of privacy expectations for sensitive data.
These assurances matter. Yet they also highlight a limitation. When health data leaves traditional covered entities, rules like HIPAA may not apply in the same way. As adoption accelerates, responsibility for protecting patient data grows less clear.
New technology does not eliminate privacy risk—it reshapes it. Governance, visibility, and clear rules around data use matter just as much as vendor commitments.
What’s Really Driving Healthcare Data Privacy Risk
Taken together, these real-world examples reinforce a consistent set of challenges healthcare leaders are grappling with today.
1. Identity-Based Access Risk
Unauthorized access using stolen, misused, or over-provisioned credentials remains a common way patient data is exposed. Interconnected systems make it easier for identity misuse to go undetected longer, increasing privacy harm.
2. Third-Party and Vendor Data Exposure
Healthcare data rarely stays in one organization. Vendors, partners, and data exchange platforms often access sensitive records. The Health Gorilla litigation shows how poor oversight of third-party access can quickly cause privacy and legal issues.
3. Application, Integration, and Shadow IT Risk
Applications, APIs, integrations, and emerging tools, like AI or even wearable smart devices, introduced into a client workspace near the patient create new data pathways that are difficult to track and govern consistently, especially when they fall outside traditional healthcare environments.
“Not all data privacy risk comes from bad actors,” saysBob Thurner, Security Consultant at Fortified Health Security. “Wearables like smart glasses can quietly introduce cameras and microphones into patient-adjacent spaces, while tools like Flipper Zero can emulate access badges or keys. We’ve even seen staff bring personal wireless routers into offices to solve connectivity issues—without realizing they’ve created a rogue access point. These well-intended actions can significantly expand exposure if they’re not visible or governed.”
4. Email-Driven Data Leakage
Despite broader security investments, email remains a frequent source of privacy incidents due to misdelivery, compromised inboxes, and unsafe sharing practices.
5. Workforce Reality and Insider Risk
Turnover, role changes, and staffing pressures increase the likelihood of outdated access and unintentional exposure. Privacy programs designed for stable environments struggle to keep pace with healthcare’s operational reality.
From Awareness to Action
Effective healthcare data privacy programs are built through ongoing assessment, strong governance, and operational readiness—not one-time initiatives or static policies.
Data Privacy Week is an opportunity to move beyond awareness and focus on the structures that protect patient trust every day. Healthcare organizations that treat privacy as a living, operational discipline are best positioned to navigate today’s interconnected risk landscape.
Download our quick reference guide for practical questions to ask your team and learn about services that support your data privacy goals. Take the next step to strengthen your organization’s data privacy today.
