Wade's Health Law Highlights for June 9, 2026


June 13, 2026

This week

  • Smart glasses from Meta, Google, and other tech companies pose significant legal risks across wiretap laws, healthcare privacy rules, workplace regulations, and disability rights because they record audio and video without any visible indication to people around the wearer, creating potential violations in everything from patient confidentiality to employee consent requirements.
  • Privacy and data security have become make-or-break issues in M&A deals because buyers now face serious regulatory investigations, lawsuits, and operational headaches when they don’t properly assess a target company’s compliance with the complex web of US privacy laws, state breach notification requirements, and international data transfer restrictions that can derail deals and destroy value if overlooked.
  • Ambulatory surgery centers are dangerously outpacing their operational capabilities by accepting higher-acuity patients with complex medical conditions before adequately upgrading their infrastructure, staffing protocols, and emergency preparedness systems, putting patient safety and regulatory compliance at serious risk.

Artificial Intelligence in Healthcare

  • AI adoption in healthcare has moved from hesitation to integration, with roughly 40% of life sciences organizations reporting AI embedded throughout their operations. The speed of adoption is illustrated by AI scribes reaching 50% penetration across US healthcare systems in 18 months, compared to seven years for electronic medical records, with clinicians adopting the tools on their own initiative rather than through institutional procurement. Between 25% and 75% of healthcare practitioners, depending on jurisdiction, are already using AI to navigate patient histories, clinical questions, and treatment pathways, with the tools gaining traction primarily in workflow automation, scheduling, documentation, and data extraction. A structural barrier remains: approximately 80% of medical data is unstructured, sitting in PDFs, free text, and fragmented systems, creating opportunity for companies that can clean and contextualize that data for downstream AI use. On the investment side, standalone point solutions are losing ground to companies that can offer differentiated datasets, deep system integration, and auditable AI ecosystems, while the EU AI Act’s double layer of regulation on AI as a medical device risks raising costs and deterring innovators before the law is even fully in force. Source: McDermott
  • The Health Sector Coordinating Council has released an 87-page framework requiring healthcare organizations to integrate cybersecurity controls across the full AI lifecycle — from procurement and design through decommissioning. The framework covers clinical safety and ethics, privacy controls, generative AI and large language model risks, supply chain and concentration risks, and AI-specific incident response. Without governance structures in place, AI systems risk data leakage, operational disruption, bias, and patient harm. The HSCC recommends that organizations form an AI cyber governance committee composed of program leads, physician leaders, IT and security personnel, legal experts, and patient advocates. The framework is intended to complement, not replace, existing organizational governance activities. Source: TechTarget
  • Health care providers using AI face a layered web of state laws even as the federal government moves to assert national control over AI regulation. No comprehensive federal AI law exists, leaving states to apply technology-neutral statutes covering consumer protection, privacy, anti-discrimination, and professional licensing to AI use in clinical, administrative, and operational settings. California’s attorney general issued a legal advisory requiring health care providers to comply with existing state law — including unfair competition, professional licensing, anti-discrimination, and patient privacy laws — when deploying AI. On December 11, 2025, the Trump administration issued Executive Order 14365, directing the federal government to establish a national AI policy framework and to identify and challenge state laws that affect AI. Source: Reuters

Privacy, Cybersecurity & Data Protection

  • The California Supreme Court’s ruling in J.M. v. Illuminate Education Inc. narrows who qualifies as a “provider of healthcare” under the Confidentiality of Medical Information Act while lowering the threshold plaintiffs must meet to allege a breach. The court held that Illuminate, a K-12 education technology company whose software was used for educational planning rather than healthcare delivery, is not a provider of healthcare under the CMIA, reversing the Fourth Appellate District’s 2024 expansive interpretation. Under a new standard for Section 56.101, a CMIA violation requires showing a significant risk of unauthorized access or use, with no proof of actual viewing or affirmative disclosure required, though mere loss of possession is not always sufficient. The court also ruled that J.M. lacked standing under the California Customer Records Act because Illuminate’s contract was with the Ventura County Office of Education, rejecting the “intended beneficiary” theory and distinguishing “customer” from “consumer.” The opinion flagged AI-facilitated and automated cybercrime as a basis for declining to require proof of human viewing, and a concurrence indicated that encryption of sensitive data may shield companies from liability. Source: Cooley
  • AI PCs shift PHI risk from centralized cloud infrastructure directly onto endpoints, fundamentally restructuring HIPAA compliance obligations for healthcare organizations. Unlike traditional PCs, AI PCs run AI models locally on dedicated hardware, enabling clinical documentation, image analysis and point-of-care workflows without routing data through external systems — eliminating certain cloud-related exposure vectors but making each device a higher-value target. Clinical applications, EHR sessions and folders containing PHI must be explicitly excluded via enterprise policy from on-device features such as screen snapshots, semantic search indexes and ambient transcription, and AI PCs must generate immutable audit logs integrated into SIEM tools to satisfy HIPAA’s accounting of disclosures requirements. Retention policies must automatically purge AI caches and transcripts under minimum necessary principles, and devices must support remote wiping of AI data stores upon loss, theft or employee offboarding. Healthcare organizations should begin deployment with a use-case inventory identifying where local AI processing creates measurable workflow value, then conduct a HIPAA risk analysis specific to AI PC capabilities, while aligning with NIST Cybersecurity Framework 2.0, zero-trust principles and proposed HIPAA Security Rule updates — including multifactor authentication, encryption, network segmentation and continuous monitoring. Source: HealthTech Magazine
  • Privacy and data security now rank alongside intellectual property and employment as core diligence requirements in M&A transactions, exposing buyers to regulatory investigations, class actions, and operational disruption when compliance failures go undetected. The US regulatory framework is sector-specific rather than unified, meaning acquirers must map exposure across HIPAA, GLBA, COPPA, state consumer privacy laws, and biometric data statutes — each of which can affect valuation and integration strategy. Privacy policies function as enforceable legal commitments, and the absence of “transfer of assets” language in a target’s policy can block data sharing with a buyer absent additional notices or consent mechanisms. All 50 states and the District of Columbia impose breach notification requirements, and diligence should focus not merely on whether breaches occurred but on whether they were detected promptly, reported as required, and remediated — since gaps in incident response signal broader governance failures. Cross-border transactions face additional constraints under the GDPR and laws in jurisdictions such as China, where outbound data transfers may require regulatory approval, affecting both pre-closing diligence and post-closing data consolidation. Source: Morgan Lewis
  • Smart glasses from Meta, Google, and competitors create overlapping legal exposure under wiretap law, HIPAA, biometric statutes, the NLRA, and the ADA because the devices record audio and video without any visible cue that recording is occurring. Thirteen states require all-party consent to record a conversation, and because most smart glasses capture audio by default, wearers in those states cannot rely on implied-consent defenses that depend on a subject’s awareness of the recording. In healthcare settings, a staff member’s consumer smart glasses can constitute an impermissible HIPAA disclosure the moment the device captures a patient’s face, a chart, or a clinical conversation, and Meta does not sign business associate agreements, making its platform categorically incompatible with PHI workflows. Employers who issue blanket no-recording bans risk NLRA violations under the Stericycle standard, but narrowly drawn policies tied to specific confidentiality and safety interests — and confined to work time and work areas — have survived NLRB challenge, as seen in the January 2026 UPS ruling. Smart glasses also qualify as ADA-covered assistive technology for employees and patients with vision, hearing, or cognitive disabilities, meaning a flat refusal to permit their use, without engaging the interactive process or offering a conditioned accommodation, likely violates Title I or Title III. Source: Dickinson Wright Health Law Blog

Fraud & Abuse Enforcement

Medicare Payment & CMS Programs

Employment & Benefits

Pharmaceutical Patent Litigation

Facility Operations

  • Ambulatory surgery centers are taking on higher-acuity patients faster than their operational infrastructure can keep pace, driven by advances in anesthesia and minimally invasive techniques and pressure from payers to shift care to lower-cost settings. ASC patients increasingly present with comorbidities including cardiac and pulmonary conditions, diabetes, renal disease, obstructive sleep apnea, and obesity, creating greater anesthesia risk and postoperative monitoring demands. Clinical capability to perform a procedure does not equal operational readiness to manage every patient associated with it, and gaps frequently exist in emergency preparedness, pre-admission testing, staffing competency validation, medication management, and patient selection criteria. Accrediting organizations and regulatory surveyors are giving increased scrutiny to operational alignment as outpatient acuity rises, and centers that do not proactively assess readiness face elevated risks to patient safety, staffing performance, and regulatory compliance. ASCs that align clinical expansion with infrastructure investments — including updated policies, transfer and escalation protocols, and leadership engagement in daily operations — are better positioned for long-term growth. Source: VMG Health

Wade Emmert

Partner & Healthcare Practice Group Leader

Board Certified, Health Law // Certified Information Privacy Professional (CIPP/US) // Artificial Intelligence Governance Professional (AIGP) // Certified in Cybersecurity (ISC2 CC)

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Wade Emmert

Carrington, Coleman, Sloman & Blumenthal, LLP

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