Tag: healthcare

The Evolution of AI in Healthcare: Current Trends and Legal Considerations

Artificial intelligence (AI) is transforming the healthcare landscape, offering innovative solutions to age-old challenges. From diagnostics to enhanced patient care, AI’s influence is pervasive, and seems destined to reshape how healthcare is delivered and managed. However, the rapid integration of AI technologies brings with it a complex web of legal and regulatory considerations that physicians must navigate.

It appears inevitable AI will ultimately render current modalities, perhaps even today’s “gold standard” clinical strategies, obsolete. Currently accepted treatment methodologies will change, hopefully for the benefit of patients. In lockstep, insurance companies and payors are poised to utilize AI to advance their interests. Indeed, the “cat-and-mouse” battle between physician and overseer will not only remain but will intensify as these technologies intrude further into physician-patient encounters.

  1. Current Trends in AI Applications in Healthcare

As AI continues to evolve, the healthcare sector is witnessing a surge in private equity investments and start-ups entering the AI space. These ventures are driving innovation across a wide range of applications, from tools that listen in on patient encounters to ensure optimal outcomes and suggest clinical plans, to sophisticated systems that gather and analyze massive datasets contained in electronic medical records. By identifying trends and detecting imperceptible signs of disease through the analysis of audio and visual depictions of patients, these AI-driven solutions are poised to revolutionize clinical care. The involvement of private equity and start-ups is accelerating the development and deployment of these technologies, pushing the boundaries of what AI can achieve in healthcare while also raising new questions about the integration of these powerful tools into existing medical practices.

Diagnostics and Predictive Analytics:

AI-powered diagnostic tools are becoming sophisticated, capable of analyzing medical images, genetic data, and electronic health records (EHRs) to identify patterns that may elude human practitioners. Machine learning algorithms, for instance, can detect early signs of cancer, heart disease, and neurological disorders with remarkable accuracy. Predictive analytics, another AI-driven trend, is helping clinicians forecast patient outcomes, enabling more personalized treatment plans.

 

Telemedicine and Remote Patient Monitoring:

The COVID-19 pandemic accelerated the adoption of telemedicine, and AI is playing a crucial role in enhancing these services. AI-driven chatbots and virtual assistants are set to engage with patients by answering queries and triaging symptoms. Additionally, AI is used in remote and real-time patient monitoring systems to track vital signs and alert healthcare providers to potential health issues before they escalate.

 

Drug Discovery and Development:

AI is revolutionizing drug discovery by speeding up the identification of potential drug candidates and predicting their success in clinical trials. Pharmaceutical companies are pouring billions of dollars in developing AI-driven tools to model complex biological processes and simulate the effects of drugs on these processes, significantly reducing the time and cost associated with bringing new medications to market.

Administrative Automation:

Beyond direct patient care, AI is streamlining administrative tasks in healthcare settings. From automating billing processes to managing EHRs and scheduling appointments, AI is reducing the burden on healthcare staff, allowing them to focus more on patient care. This trend also helps healthcare organizations reduce operational costs and improve efficiency.

AI in Mental Health:

AI applications in mental health are gaining traction, with tools like sentiment analysis, an application of natural language processing, being used to assess a patient’s mental state. These tools can analyze text or speech to detect signs of depression, anxiety, or other mental health conditions, facilitating earlier interventions.

  1. Legal and Regulatory Considerations

As AI technologies become more deeply embedded in healthcare, they intersect with legal and regulatory frameworks designed to protect patient safety, privacy, and rights.

Data Privacy and Security:

AI systems rely heavily on vast amounts of data, often sourced from patient records. The use of this data must comply with privacy regulations established by the Health Insurance Portability and Accountability Act (HIPAA), which mandates stringent safeguards to protect patient information. Physicians and AI developers must ensure that AI systems are designed with robust security measures to prevent data breaches, unauthorized access, and other cyber threats.

Liability and Accountability:

The use of AI in clinical decision-making raises questions about liability. If an AI system provides incorrect information or misdiagnoses a condition, determining who is responsible—the physician, the AI developer, or the institution—can be complex. As AI systems become more autonomous, the traditional notions of liability may need to evolve, potentially leading to new legal precedents and liability insurance models.

These notions beg the questions:

  • Will physicians trust the “judgment” of an AI platform making a diagnosis or interpreting a test result?
  • Will the utilization of AI platforms cause physicians to become too heavily reliant on these technologies, forgoing their own professional human judgment?

Surely, plaintiff malpractice attorneys will find a way to fault the physician whatever they decide.

Insurance Companies and Payors:

Another emerging concern is the likelihood that insurance companies and payors, including Medicare/Medicaid, will develop and mandate the use of their proprietary AI systems to oversee patient care, ensuring it aligns with their rules on proper and efficient care. These AI systems, designed primarily to optimize cost-effectiveness from the insurer’s perspective, could potentially undermine the physician’s autonomy and the quality of patient care. By prioritizing compliance with insurer guidelines over individualized patient needs, these AI tools could lead to suboptimal outcomes for patients. Moreover, insurance companies may make the use of their AI systems a prerequisite for physicians to maintain or obtain enrollment on their provider panels, further limiting physicians’ ability to exercise independent clinical judgment and potentially restricting patient access to care that is truly personalized and appropriate.

Licensure and Misconduct Concerns in New York State:

Physicians utilizing AI in their practice must be particularly mindful of licensure and misconduct issues, especially under the jurisdiction of the Office of Professional Medical Conduct (OPMC) in New York. The OPMC is responsible for monitoring and disciplining physicians, ensuring that they adhere to medical standards. As AI becomes more integrated into clinical practice, physicians could face OPMC scrutiny if AI-related errors lead to patient harm, or if there is a perceived over-reliance on AI at the expense of sound clinical judgment. The potential for AI to contribute to diagnostic or treatment decisions underscores the need for physicians to maintain ultimate responsibility and ensure that AI is used to support, rather than replace, their professional expertise.

Conclusion

AI has the potential to revolutionize healthcare, but its integration must be approached with careful consideration of legal and ethical implications. By navigating these challenges thoughtfully, the healthcare industry can ensure that AI contributes to better patient outcomes, improved efficiency, and equitable access to care. The future of AI in healthcare looks promising, with ongoing advancements in technology and regulatory frameworks adapting to these changes. Healthcare professionals, policymakers, and AI developers must continue to engage in dialogue to shape this future responsibly.

©2024 Norris McLaughlin P.A., All Rights Reserved
For more on AI, visit the NLR Artificial Intelligence section.

Former Acadia Employees Received Reward for Blowing the Whistle on Healthcare Fraud

The United States Department of Justice settled a False Claims Act qui tam whistleblower lawsuit against inpatient behavioral health facilities operator Acadia Healthcare Company, Inc. Under the terms of the settlement, the operator paid almost $20 million to the United States and the States of Florida, Georgia, Michigan, and Nevada. The relators, or whistleblowers, who filed suit in 2017, received a reward of 19% of the government’s recovery of misspent Medicare, TRICARE, and Medicaid funds. According to one of the Relators, Jamie Clark Thompson, a former Director of Nursing at Acadia’s Lakeview Behavioral Health facility, “I am passionate about advocating for improved and quality services for individuals living with mental illness. Unfortunately, our communities have seen the devastating impact when this vulnerable population receives inadequate care. I firmly believe that by continuously working to improve our mental health system, we can support recovery and well-being, benefiting our entire community. I hope that my actions have made a difference, and I know that properly allocating funds is crucial to supporting behavioral health services and those working tirelessly to improve them.”

Medicare, TRICARE, and Medicaid Fraud Allegations

According to the settlement agreement, the whistleblowers alleged Acadia and certain of its facilities submitted false claims to Medicare, TRICARE, and Medicaid. Specifically, the facilities allegedly admitted ineligible patients, provided services for longer than was medically necessary or did not provide treatment at all (but still billed the healthcare programs for it), did not provide sufficient care for those who needed acute care or individualized care plans, and hired the wrong people or failed to train their staff to “prevent assaults, elopements, suicides, and other harm resulting from staffing failures.”

Behavioral Health Facility Fraud

Behavioral healthcare facilities provide inpatient, outpatient, and residential care for adolescents, adults, and seniors for mental health conditions. As taxpayer-funded healthcare programs, Medicare, Medicaid, and TRICARE cover behavioral healthcare. Treating mentally ill Medicare, Medicaid, or TRICARE beneficiaries as cash cows, and either under-treating, over-treating, or not treating them at all both robs the individuals of the chance to recover, wastes taxpayer resources, and may even jeopardize their safety and well-being.

The Importance of Medicare, Medicaid, and TRICARE Whistleblowers

Whistleblowers who report behavioral health facility fraud are not only protecting vulnerable patients but also making sure federally funded healthcare dollars are being spent to properly treat adolescent, adult and older patients with significant behavioral health conditions. Three employees at different Acadia facilities came forward, faced retaliation for speaking up, and are now being rewarded for helping to fight fraud and abuse and for their courage.

Read the Department of Justice’s Press Release

© 2024 by Tycko & Zavareei LLP

by: Tycko & Zavareei Whistleblower Practice Group of Tycko & Zavareei LLP

What Does the End of Chevron Deference Mean for Federal Health Care Programs?

On June 28, 2024, the Supreme Court rejected the doctrine of Chevron deference in the closely watched case of Loper Bright Enterprises v. Raimondo.[1] In a 6-3 decision, the Court held that Chevron’s rule that courts must defer to federal agencies’ interpretation of ambiguous statutes gave the executive branch interpretive authority that properly belonged with the courts. Moreover, the Court concluded that Chevron deference was inconsistent with the Administrative Procedure Act (APA), holding that the APA requires courts to exercise independent judgment when deciding legal issues in the review of agency action.

Loper will have significant and immediate implications for the U.S. Department of Health and Human Services (HHS), the federal agency charged with the administration of the federal health care programs, including Medicare and Medicaid. As detailed below, the Court’s decision sets a more exacting standard for courts to apply when reviewing HHS’s regulations and legal positions.

What Was Chevron Deference?

The doctrine of Chevron deference was established in 1984 by the Supreme Court in Chevron U.S.A., Inc. v. Natural Resources Defense Council, Inc.[2] In that case, the Court held when a “statute is silent or ambiguous with respect to the specific issue” raised regarding a statute that the agency administers, “the question for the court is whether the agency’s answer is based on a permissible construction of the statute.”[3]

Although scholars have debated Chevron’s rationale at length, it generally was read to require deference based upon agencies’ presumed subject matter expertise and an assumption that Congress delegated authority to agencies—rather than courts—to fill in gaps in statutory schemes. Notably, the Supreme Court had not itself invoked Chevron deference since 2016, although lower courts have continued to rely on it regularly.[4]

What Did Loper Decide?

Loper involved two New England fishing companies appealing the D.C. Circuit’s ruling that applied Chevron deference to uphold the National Marine Fisheries Service’s interpretation of the Federal Magnuson-Stevens Act (the “Act”) as requiring fishermen to pay for the use of compliance monitors on certain fishing boats, even though the federal law is silent on who must pay. Petitioners used the case as a vehicle to present a broader challenge to Chevron,arguing that the doctrine has led to excessive deference to federal agencies, resulting in overregulation, the abdication of judicial responsibility to interpret statutes, and the unwarranted imposition of regulatory enforcement costs.

The Loper majority firmly rejected Chevron and held that the APA requires courts to exercise their independent judgment in deciding legal questions that arise in reviewing agency action. As the majority held, “courts need not and under the APA may not defer to an agency interpretation of the law simply because a statute is ambiguous.”[5]

Importantly, however, Loper noted that deference may still be afforded agencies in certain instances. First, the Court observed that the APA expressly mandates a deferential standard of review for agency policy-making and fact-finding.[6] Second, Loper explained that some statutes are best read to “delegate[] discretionary authority to an agency,” in which case a court’s role is to merely ensure the agency “engaged in ‘reasoned decisionmaking’” within that authority.[7] Lastly, Loper reaffirmed that an agency’s “expertise” remains “one of the factors” that may make an agency’s interpretation persuasive.[8]

How Will Loper Impact Federal Health Care Programs?

Loper’s directive that courts should construe statutes independently and not defer to agencies’ positions has enormous implications for providers and suppliers that participate in federal health care programs. Much of today’s health care landscape is governed by HHS’ regulations, impacting many Americans and much of the federal budget. For example, Medicare currently covers more than 67 million beneficiaries, and Medicare spending comprised 12% of the federal budget in 2022 and 21% of national health care spending in 2021.[9]

Federal health care programs like Medicare and Medicaid are established by statutes that set forth myriad requirements regarding the coverage of items and services, and how, when, and by whom those items and services may be furnished.[10] HHS’s various components—most notably the Centers for Medicare and Medicaid Services (CMS)—have issued numerous, detailed regulations to implement these statutes. HHS’s components also include FDA, CDC, HRSA, AHRQ, OCR, NIH, and many others that intersect with health care providers and suppliers regularly.

Going forward under Loper, future challenges to agency regulations will take place upon a much different playing field. This has several important implications:

  • More Legal Challenges: We expect to see more legal challenges brought against HHS’s regulations as they are issued. Loper expressly stated that it “does not call into question prior cases that relied on the Chevron framework,” so prior decisions affirming regulations should be stable.[11] But going forward, Loper means that courts have no “thumb on the scale” in favor of HHS’s legal positions, and so litigants may view Loper as increasing their odds of success. At the same time, this may create more uncertainty for providers and suppliers who must determine how to comply with new regulations under challenge.
  • Less Ability for HHS to Create New Programs or Impose New Requirements: Especially where HHS imposes new substantive requirements that are not clearly authorized by statute, HHS’s regulations may be vulnerable. For example, the challengers to CMS’s minimum-staffing requirements for nursing homes are sure to cite Loper.[12] Likewise, when HHS creates new programs or initiatives by regulation based on broad statutory language (e.g., HHS’s recent creation of rural emergency hospital regulations[13]), the regulations may be more vulnerable to challenges. As another example, legal challenges to FDA’s new rule on Laboratory Developed Tests are pending and will likely invoke Loper.[14]
  • More Incentive to Challenge Reimbursement Rules: Legal challenges are frequently brought to CMS’s rules governing reimbursement, which often have complicated statutory formulas subject to differing interpretations. Whereas in the past, courts often deferred to CMS’s interpretations,[15] Loper now creates more potential for providers and suppliers to seek more favorable legal interpretations to enhance reimbursement.
  • Slower and More Cautious Rulemaking: As HHS promulgates new regulations, it will now have to consider the enhanced litigation risk that Loper creates. This may lead to agencies slowing and proceeding more cautiously in rulemaking as agencies seek to craft defensible regulations.
  • Inconsistent Decisions by Courts: Because Loper directs courts to exercise independent judgment rather than defer to HHS’s interpretations, we expect that courts in different areas of the country may reach differing conclusions regarding HHS regulations. This may make certain geographic locations more advantageous for provider and supplier operations or expansions.

Conclusion

Going forward, courts will be more amenable than ever to siding with challenges to HHS regulations. This creates both challenges and opportunities for providers and suppliers who should carefully assess the legal basis for all new regulations.

The authors acknowledge the contributions of Callie Ericksen, a student at the University of California Davis Law School and 2024 summer associate at Foley & Lardner LLP.

[1] Loper Bright Enterprises v. Raimondo, No. 22-451 (June 28, 2024), together with Relentless, Inc. v. Department of Commerce, No. 22-1219, available here.

[2] 467 U.S. 837 (1984).

[3] Id. at 843 (emphasis added).

[4] See Am. Hosp. Ass’n (“AHA”) v. Becerra, 142 S. Ct. 1896, 1904 (2022) (determining that HHS’s preclusion of judicial review “lacks any textual basis,” remaining silent with respect to Chevron); Becerra v. Empire Health Found., 142 S. Ct. 2354, 2362 (2022) (illustrating that HHS’s reading aligns with the statute’s “text, context, and structure” in calculating the Medicare fraction for purposes of Medicare Part A benefits, without any mention of Chevron); Vanda Pharms., Inc. v. Ctrs. for Medicare & Medicaid Servs.,98 F.4th 483 (2024) (holding that CMS’s definitions of “line-extension” and “new formulation” did not conflict with the Medicaid statute).

[5] Loper Bright Enterprises v. Raimondo, No. 22-451, slip op. 35 (June 28, 2024).

[6] Id. at slip. op. 14 (citing 5 U.S.C. §§ 706(2)(A), (E)).

[7] Id. at slip op. 18.

[8] Id. at slip op. 25 (citing Skidmore v. Swift & Co., 323 U.S. 134 (1944).

[9] See KFF, Medicare 101 (published May 28, 2024), available here.

[10] See 42 U.S.C. §§ 1395–1395lll.

[11] Loper Bright Enterprises v. Raimondo, No. 22-451, slip op. 34 (June 28, 2024).

[12] See Am. Health Care Ass’n v. Becerra, No. 24-cv-114 (N.D. Tex) (challenging the rule issued at 89 Fed. Reg. 40876 (May 10, 2024).

[13] Conditions of Participation, 42 C.F.R. §§ 485.500-485.546 (Subpart E), and Payments, §§ 419.90-419.95 (Subpart J), 87 Fed. Reg. 71748, 72292-93 (Nov. 23, 2022),

[14] 21 C.F.R. § 809, 89 Fed. Reg. 37286 (May 6, 2024).

[15] See, e.g., Baptist Mem’l Hosp. – Golden Triangle, Inc. v. Azar, 956 F.3d 689 (5th Cir. 2020) (deferring to CMS’s rule addressing “costs incurred” for calculating Medicaid Disproportionate Share Hospital payments).

© 2024 Foley & Lardner LLP
For more news on Supreme Court Health Care Decisions, visit the NLR Health Law & Managed Care section.

Poor Oversight: Healthcare Company & Owner to Pay $1 Million for Care Plan Oversight Service Billing Fraud

The United States announced that Chicago-based healthcare company Apollo Health Inc. (Apollo), and its owner, Brian J. Weinstein, will pay $1 million to resolve False Claims Act allegations. The claims state that Apollo, under the direction of Weinstein, submitted bills to Medicare for services that were never performed. The case was brought by two whistleblowers who will be rewarded for their efforts.

From December 2014 through March 2017, Apollo allegedly submitted Medicare claims for care plan oversight services (CPO) that did not occur. CPOs detail a physician’s duties to supervise a patient receiving complex medical care. Weinstein allegedly directed Apollo to submit 12,592 CPO service claims for over two dozen providers employed by Apollo, despite Weinstein’s knowledge that no services had been rendered to Medicare patients, and no CPO services were documented in medical records.
Medicare fraud undermines the trust and integrity of the healthcare system, resulting in significant financial burdens on taxpayers. When individuals or organizations engage in fraudulent activities, such as billing for services not rendered or submitting false claims, they siphon funds from Medicare’s intended beneficiaries. Medicare fraud diminishes the resources available for legitimate healthcare services for truly ill Medicare beneficiaries.
The settlement resolves claims brought by two whistleblowers, also known as relators, under the qui tam provisions of the False Claims Act. Javar Jones and Louis Curet, the relators in the case, will receive 20% of the settlement amount for bringing the fraudulent activity to the United States’ attention. Whistleblowers who report fraud against the government via a qui tam lawsuit can earn a 15-25% share of the government’s recovery.

© 2024 by Tycko & Zavareei LLP
For more news on Whistleblower Settlements, visit the Criminal Law / Business Crimes section.

The 80/20 Rule is Here: CMS Finalizes HCBS Care Worker Payment Requirements

In May 2023, the Centers for Medicare and Medicaid Services (“CMS”) proposed a series of rule changes intended to help promote the availability of home and community-based services (“HCBS”) for Medicaid beneficiaries. Chief among these proposals was a new rule that would require HCBS agencies to spend at least 80% of their Medicaid payments for homemaker, home health aide, and personal care services on direct care worker compensation (the “80/20 Rule”). Intended to help stabilize the HCBS workforce, the proposal faced immediate backlash from HCBS providers and Medicaid agencies, who expressed concern that the 80/20 rule would harm HCBS providers by mandating specific allocations to worker compensation and bogging down providers and Medicaid agencies with burdensome reporting requirements.

After reviewing thousands of comments, CMS released an advance copy of the final rule this week. Defying stakeholder anticipation that the 80/20 Rule would be relaxed, or updated to provide more flexibility for providers, CMS finalized the 80/20 Rule largely as originally proposed, including the following key requirements:

  • HCBS providers must spend at least 80% of Medicaid payments on direct care worker compensation;
  • HCBS providers will have six years (increased from four) from the effective date of the final rule to demonstrate compliance with the 80/20 Rule;
  • States must begin collecting and tracking data on direct care worker compensation within four years of the effective date of the final rule; and
  • States are permitted to establish different standards for smaller HCBS providers and to establish hardship exemptions – in both cases based on objective and transparent criteria.

Under the broad mandate of the 80/20 Rule, there are a number of key definitions that HCBS providers must consider as they evaluate these new requirements:

Direct Care Workers

Because the 80/20 Rule was adopted largely to stabilize the HCBS workforce, a key component is whose compensation qualifies for inclusion. CMS’s proposed definition encompassed almost any person with a role in providing direct care to patients (e.g., RNs, LPNs, individuals practicing under their supervision, home health aides, etc.). Under the final 80/20 Rule, CMS clarified that “direct care workers” also include those whose role is specifically tied to clinical supervision (e.g., nurse supervisors).

Compensation

Compensation of direct care workers means:“[s]alary, wages, and other remunerations as defined by the Fair Labor Standards Act and implementing regulations; [b]enefits (such as health and dental benefits, life and disability insurance, paid leave, retirement, and tuition reimbursement); and [t]he employer share of payroll taxes for direct care workers delivering services authorized under section 1915(c) of the Act.” CMS clarified that “compensation” also includes:

  1. Overtime pay;
  2. All forms of paid leave (e.g., sick leave, holidays, and vacations);
  3. Different types of retirement plans and employer contributions; and
  4. All types of benefits: CMS intentionally used the phrase “such as” to indicate the list of benefits was non-exhaustive, and indicated technical guidance to states on this subject is forthcoming.

Excluded Costs

CMS expressed concern that HCBS providers would include training costs for direct care workers as “compensation,” and that calculating compensation in this way could result in negative outcomes, such as diminished training opportunities. To address these concerns, CMS created the concept of “excluded costs,” which are excluded from the percentage calculations under the 80/20 Rule. See § 441.302(k)(1)(iii) (“costs that are not included in the calculation of the percentage of Medicaid payments to providers that are spent on compensation for direct care workers.”). Excluded costs are limited to:

  1. Costs of required direct care worker training;
  2. Direct care worker travel costs (mileage, public transportation subsidy, etc.); and
  3. Personal protective equipment costs.

Medicaid Payments

CMS largely adopted its expansive view of what qualifies as a “Medicaid Payment” for purposes of 80/20 Rule calculations. CMS clarified that the 80/20 Rule encompasses both standard and supplemental payments and applies regardless of whether HBCS services are delivered through fee-for-service or managed care delivery systems. CMS also declined to create a formal carve-out for value-based care or pay-for-performance arrangements, despite recognizing their value.

What Comes Next?

HCBS providers and state Medicaid agencies have six years to sort out their compliance with the 80/20 Rule (though data tracking and reporting begins after year three). On the provider side, this means carefully evaluating the business and economic impacts of compliance with the 80/20 Rule and monitoring CMS and state-level guidance on implementation as it develops over time. For multi-state providers, this process becomes even more complicated, as there is a high likelihood that states will choose to implement the 80/20 Rule in different, and potentially contradictory, ways.

Providers also need to work with the state agencies to address the adequacy of HCBS rates generally. CMS recognized the important role that the underlying rates play in HCBS sustainability but declined to mandate specific payment rates or methodologies. As a result, positive momentum on the rates themselves must come from state initiatives.

© Polsinelli PC, Polsinelli LLP in California
For more news on Healthcare Provider Regulations, visit the NLR Health Law & Managed Care section.

What the FTC’s Rule Banning Non-Competes Means for Healthcare

The FTC unveiled its long-awaited final rule banning most non-compete agreements during a live broadcast of a Commission meeting on April 23, 2024. The proposed rule, which was first announced in January 2023, underwent an extensive public comment process in which approximately 26,000 comments were received. According to the FTC, approximately 25,000 of these comments supported a total ban on non-competes. While there was some expectation that the final rule would be less aggressive than the proposed rule, that turned out not to be the case. By late summer 2024, most employers, except for non-profit organizations, will not be able to enforce or obtain non-competes in the U.S. except in extremely narrow circumstances. The new rule will take effect 120 days after it is published in the Federal Register. Assuming the rule is published this week, we can expect it to take effect by late August. That is, of course, if a court does not enjoin the rule first. Shortly after the rule was announced on April 23, the U.S. Chamber of Commerce stated its intention to sue the FTC. U.S. Chamber to Sue FTC Over Unlawful Power Grab on Noncompete Agreements Ban | U.S. Chamber of Commerce (uschamber.com) The first lawsuit challenging the new rule was filed on April 23, Ryan, LLC v. Federal Trade Commission, Case No. 3:24cv986 (N.D. Tex. Apr. 23, 2024). Among other relief, the Ryan suit seeks to have the rule vacated and set aside. There are significant legal questions concerning whether the FTC has the authority to take this action by rulemaking or whether this is best left to the legislative process. While some U.S. states have banned non-competes, many U.S. states have not banned them.

As written, the rule will have profound effects on virtually every industry, especially health care, where non-competes are common in physician and mid-level practitioner employment agreements. As several Commissioners indicated during the April 23 meeting, they are particularly concerned about non-competes in health care and believe this rule will save approximately $74-194 billion in reduced spending on physician services over the next decade.

Following is Nelson Mullins’ quick take on what health care employers need to know:

  1. The rule does not apply to non-profits. The basis for the rule making is Section 5 of the FTC Act, which doesn’t apply to non-profits. So, a non-profit health system that has non-competes with physicians or other workers is not impacted by the rule. Be aware, though, that the FTC may be looking to test whether some non-profit health systems are really operating as true non-profits. Tax exempt status alone will not be enough. We believe, however, that given significant and quantifiable charitable benefits that most non-profit systems provide, the FTC may be hard pressed to find a good test case within the non-profit health care industry.
  2. For all others, the rule bans all non-compete agreements for any worker, regardless of title, job function, or compensation, after the effective date. Thus, a for-profit health system or for-profit physician practice that uses non-competes will be significantly limited. The only non-competes that will be allowed to remain in force are non-competes for “Senior Executives” that were entered into before the rule becomes effective.
  3. The rule will take effect 120 days after it is published in the Federal Register. This will likely occur this week, so we expect the effective date to be approximately August 20, 2024.
  4. The rule rescinds existing non-competes for all workers who are not “Senior Executives.”
  5. “Senior Executive” is a narrowly-defined term meaning:
    1. a person in a policy making position; and
    2. who was paid at least $151,164 in the prior year.
  6. Existing non-competes for Senior Executives are not rescinded. New non-competes with Senior Executives entered into prior to the effective date are still allowed. However, no new non-competes with Senior Executives may be entered into after the effective date.
  7. “Policy-making position” means: President, CEO, or equivalent, or other person who has policy making authority, i.e., decisions that control a significant aspect of a business entity. Most clinicians will not meet the definition of “Senior Executive.”
  8. Non-senior executives who are now under a non-compete must be given notice by the effective date that their non-compete will not be, and cannot legally be, enforced. Model language for the notice is in the rule.
Copyright ©2024 Nelson Mullins Riley & Scarborough LLP
by: Denise M. Gunter, Carrie A. Hanger, Candace S. Friel of Nelson Mullins
For more news on the Implications of the FTC Noncompete Ban on Healthcare, visit the NLR Health Law & Managed Care section.

Importance of Negotiating Assignment and Subletting Provisions in Health Care Leases

In our ongoing series of blog posts, we examine key negotiating points for tenants in triple net health care leases. We also offer suggestions for certain lease provisions that will protect tenants from overreaching and unfair expenses, overly burdensome obligations, and ambiguous terms with respect to the rights and responsibilities of the parties. These suggestions are intended to result in efficient lease negotiations and favorable lease terms from a tenant’s perspective. In our first two blog posts, we considered the importance of negotiating initial terms and renewal terms and operating expense provisions. This latest blog post in our series focuses on negotiating assignment and subletting provisions.

It is imperative for a commercial tenant, particularly a private equity-owned health care tenant, to include provisions in a lease which allow the tenant the flexibility to assign and sublease the commercial space without the necessity of having to obtain the landlord’s consent and/or to meet burdensome landlord conditions.

Most leases prohibit transfers by assignment and subletting or require landlord’s prior written consent subject to meeting certain burdensome conditions. In addition, landlords often include a “change of control” provision which provides that sale of a controlling interest is deemed a transfer requiring landlord consent. A health care tenant looking for flexibility for reorganization or internal transfer subject to private equity control will want to push back on change of control provisions and will want to ensure that their lease allows for certain permitted transfers that do not require landlord consent. Carving out “permitted transfers” customarily includes transfers to: (i) an affiliate of the named tenant under the lease (meaning, any entity, directly or indirectly, which controls, is controlled by or is under common control with tenant); (ii) a successor entity created by merger, consolidation or reorganization of tenant; or (iii) an entity which shall purchase all or substantially all of the assets or a controlling interest in the stock or membership of tenant. If the tenant is a management services organization (MSO), the lease should also include explicit landlord permission for a sublease between the MSO and the provider that will occupy the leased premises.

Landlords may accept the concept of permitted transfers but often seek to impose certain conditions to allowing such transfers. Certain conditions on permitted transfers are reasonable, such as requirements for advance notice, that the proposed permitted transferee assume all obligations under the lease, that the permitted transferee operate only for the permitted use set forth in the lease, and that a copy of the transfer document be provided to landlord. However, other conditions, such as requiring a net worth test for the assignee or financial reporting requirements, can be burdensome and serve to undermine the concept of permitted transfers without landlord consent. We advise our clients in these instances to push back or limit these conditions as much as possible.

Other common assignment and subletting provisions should expressly not apply to permitted transfers. These include recapture provisions which allow a landlord to terminate the lease and recapture the space, excess profit provisions which provide that any excess profits realized as the result of a transfer will be shared between landlord and tenant, and administrative fees and reimbursements to landlord which are often charged to tenants in connection with an assignment or subletting request. Restrictions on transfers should not apply to guarantor entities. Often with private equity, the guarantor is the parent entity and cannot be restricted by a landlord as to transfer, restructuring or reorganization at the top of its organization.

In the case of transfers that do not fall within the definition of “permitted transfers” and require landlord consent, a tenant will want to include language that landlord will not unreasonably withhold, condition, or delay such consent. Other tenant protections should also be considered, including a cap on administrative and review fees reimbursable by tenant to landlord, a reasonably short time period for landlord to approve or disapprove a request (i.e., 30 days) or be deemed to have approved, a reasonably short time period for landlord to exercise recapture rights or be deemed to have approved, and a provision that excess profits will be shared equally rather than all belonging to landlord.

Negotiation of assignment and subletting terms is critical for tenants, particularly with respect to private equity-owned health care tenants. The goal for tenants in negotiating these points is to provide flexibility for addressing future financial and operational needs. As with other highly negotiated lease terms, we recommend addressing assignment and subletting provisions in detail in advance in the letter of intent. This makes expectations of the parties clear, saves time and money by avoiding protracted negotiations, and results in an overall efficient lease negotiation process.

In our next post, we will cover the importance of negotiating maintenance and repair terms and will offer suggestions for limiting a tenant’s exposure.

©2024 Epstein Becker & Green, P.C. All rights reserved.
For more news on Health Care Leases, visit the NLR Health Law & Managed Care section.

The Antitrust Investigator Will See You Now: What Healthcare And Pharma Should Expect In A World Of Enhanced Antitrust Scrutiny

Highlights

  • Healthcare entities should expect heightened government scrutiny of mergers, acquisitions, and business behaviors that could be construed as restricting competition in healthcare and pharma
  • The FTC, DOJ, and HHS have advanced a “whole-of-government approach,” including data sharing, cooperative enforcement, and enhanced antitrust training
  • Businesses should take note of practices that are likely to trigger investigatory and enforcement actions

According to media reports, the Department of Justice (DOJ) has opened an antitrust investigation into UnitedHealth Group, which is the owner of the United States’ largest health insurer, UnitedHealthcare. The focus of the inquiry appears to be the relationship between the UnitedHealthcare insurance plan and one of its health services divisions, Optum, and the potential impact on rivals and consumers.

While tech giants have grabbed most of the headlines when it comes to enhanced antitrust scrutiny, this new matter is the DOJ’s second antitrust investigation into UnitedHealth Group in recent years, giving teeth to the administration’s claim that it has an aggressive antitrust policy in the healthcare sector.

In another example of increased antitrust scrutiny, the Federal Trade Commission (FTC) recently announced a new initiative in partnership with the DOJ and Department of Health and Human Services (HHS) to address what they consider to be the effects of anticompetitive behavior in the healthcare and pharmaceutical spaces. According to the government, these new efforts are aimed at lowering consumer costs and will include “partnering on new initiatives which include a joint Request for Information to seek input on how private-equity and other corporations’ control of health care is impacting Americans.”

Although interagency cooperation is the focus of the recent push to ramp up antitrust investigations and enforcement, each agency will still spearheaded their own regulatory activity.

Federal Trade Commission

FTC Chair Lina Khan has made it clear that her agency will devote more resources to enforcement in the healthcare industry, and emphasized that “safeguarding fair competition and rooting out unlawful business practices in health care markets is a top priority for the FTC.” In furtherance of these priorities, the commission has recently taken the following actions:

  • Orange Book Policy: The FTC challenged more than 100 patents held by pharmaceutical companies that they claim are inaccurately or improperly listed in the FDA’s Orange Book. The commission also released a policy statement explaining its renewed focus on Orange Book infractions.
  • Proposed Non-compete Rule: The FTC presented a new rule that would place a ban on non-compete clauses in employee contracts.

U.S. Department of Justice

Jonathan Kanter, Assistant Attorney General of the DOJ’s Antitrust Division, highlighted the division’s emphasis on the healthcare space when he said, “we are committed to weeding out anticompetitive practices and market consolidation that hinder Americans’ access to quality care at affordable rates, or deprive health care workers of fair wages and opportunity.” The following are just a few examples of how the DOJ has implemented this renewed focus:

  • Criminal Penalties: Recently, the DOJ’s Antitrust Division successfully secured a deferred prosecution agreement against Teva Pharmaceuticals, obtaining the largest monetary penalty ever (over $200 million) against a purely domestic producer that was allegedly operating an antitrust cartel.
  • Blocked Mergers: The Antitrust Division filed a suit to stop Aon plc’s $30 billion proposal to acquire Willis Towers Watson, two of the three largest brokers of health insurance and retirement benefits consulting. The companies later ceased their pursuit of the merger.

U.S. Department of Health and Human Services

HHS Secretary Xavier Becerra made his agency’s priorities clear when he recently stated that “the Biden-Harris Administration remains laser-focused on increasing access to high-quality, affordable health care for all Americans, like by making hearing aids available for sale over the counter and lowering prescription drug costs through the Inflation Reduction Act.” The department’s initiatives have included:

  • Ownership Transparency: For the first time, HHS, via the Centers for Medicare & Medicaid Services, made ownership data available on federal qualified health centers and rural health clinics on data.cms.gov. HHS hopes the release of this data will help catalyze enforcement actions by identifying common ownership.
  • Medicare Advantage Marketing: HHS also announced new efforts to crack down on what it considers “predatory marketing” that seeks to steer patients towards Medicare Advantage plans that “may not best meet their needs.”

Takeaways

In light of the government’s renewed focus on increased competition, expanded enforcement actions, access to quality care, more affordable services and products, and transparency of ownership in the healthcare and pharmaceutical industries, legal and compliance departments should consider being proactive about conducting thorough reviews of current practices. This is particularly true for mergers and acquisitions, competitive strategies, and pricing decisions, which are the business activities most likely to conflict with these recently energized regulatory bodies. Even healthcare providers with stellar compliance programs should expect to receive more frequent and targeted requests for information from enforcement authorities about their business partners, payors, and marketing practices.

© 2024 BARNES & THORNBURG LLP
For more news on Antitrust Enforcement in the Healthcare Sector, visit the NLR Health Law & Managed Care section.

Recent Healthcare-Related Artificial Intelligence Developments

AI is here to stay. The development and use of artificial intelligence (“AI”) is rapidly growing in the healthcare landscape with no signs of slowing down.

From a governmental perspective, many federal agencies are embracing the possibilities of AI. The Centers for Disease Control and Prevention is exploring the ability of AI to estimate sentinel events and combat disease outbreaks and the National Institutes of Health is using AI for priority research areas. The Centers for Medicare and Medicaid Services is also assessing whether algorithms used by plans and providers to identify high risk patients and manage costs can introduce bias and restrictions. Additionally, as of December 2023, the U.S. Food & Drug Administration cleared more than 690 AI-enabled devices for market use.

From a clinical perspective, payers and providers are integrating AI into daily operations and patient care. Hospitals and payers are using AI tools to assist in billing. Physicians are using AI to take notes and a wide range of providers are grappling with which AI tools to use and how to deploy AI in the clinical setting. With the application of AI in clinical settings, the standard of patient care is evolving and no entity wants to be left behind.

From an industry perspective, the legal and business spheres are transforming as a result of new national and international regulations focused on establishing the safe and effective use of AI, as well as commercial responses to those regulations. Three such regulations are top of mind, including (i) President Biden’s Executive Order on the Safe, Secure, and Trustworthy Development and Use of AI; (ii) the U.S. Department of Health and Human Services’ (“HHS”) Final Rule on Health Data, Technology, and Interoperability; and (iii) the World Health Organization’s (“WHO”) Guidance for Large Multi-Modal Models of Generative AI. In response to the introduction of regulations and the general advancement of AI, interested healthcare stakeholders, including many leading healthcare companies, have voluntarily committed to a shared goal of responsible AI use.

U.S. Executive Order on the Safe, Secure, and Trustworthy Development and Use of AI

On October 30, 2023, President Biden issued an Executive Order on the Safe, Secure, and Trustworthy Development and Use of AI (“Executive Order”). Though long-awaited, the Executive Order was a major development and is one of the most ambitious attempts to regulate this burgeoning technology. The Executive Order has eight guiding principles and priorities, which include (i) Safety and Security; (ii) Innovation and Competition; (iii) Commitment to U.S. Workforce; (iv) Equity and Civil Rights; (v) Consumer Protection; (vi) Privacy; (vii) Government Use of AI; and (viii) Global Leadership.

Notably for healthcare stakeholders, the Executive Order directs the National Institute of Standards and Technology to establish guidelines and best practices for the development and use of AI and directs HHS to develop an AI Task force that will engineer policies and frameworks for the responsible deployment of AI and AI-enabled tech in healthcare. In addition to those directives, the Executive Order highlights the duality of AI with the “promise” that it brings and the “peril” that it has the potential to cause. This duality is reflected in HHS directives to establish an AI safety program to prioritize the award of grants in support of AI development while ensuring standards of nondiscrimination are upheld.

U.S. Department of Health and Human Services Health Data, Technology, and Interoperability Rule

In the wake of the Executive Order, the HHS Office of the National Coordinator finalized its rule to increase algorithm transparency, widely known as HT-1, on December 13, 2023. With respect to AI, the rule promotes transparency by establishing transparency requirements for AI and other predictive algorithms that are part of certified health information technology. The rule also:

  • implements requirements to improve equity, innovation, and interoperability;
  • supports the access, exchange, and use of electronic health information;
  • addresses concerns around bias, data collection, and safety;
  • modifies the existing clinical decision support certification criteria and narrows the scope of impacted predictive decision support intervention; and
  • adopts requirements for certification of health IT through new Conditions and Maintenance of Certification requirements for developers.

Voluntary Commitments from Leading Healthcare Companies for Responsible AI Use

Immediately on the heels of the release of HT-1 came voluntary commitments from leading healthcare companies on responsible AI development and deployment. On December 14, 2023, the Biden Administration announced that 28 healthcare provider and payer organizations signed up to move toward the safe, secure, and trustworthy purchasing and use of AI technology. Specifically, the provider and payer organizations agreed to:

  • develop AI solutions to optimize healthcare delivery and payment;
  • work to ensure that the solutions are fair, appropriate, valid, effective, and safe (“F.A.V.E.S.”);
  • deploy trust mechanisms to inform users if content is largely AI-generated and not reviewed or edited by a human;
  • adhere to a risk management framework when utilizing AI; and use of AI technology. Specifically, the provider and payer organizations agreed to:
  • develop AI solutions to optimize healthcare delivery and payment;
  • work to ensure that the solutions are fair, appropriate, valid, effective, and safe (“F.A.V.E.S.”);
  • deploy trust mechanisms to inform users if content is largely AI-generated and not reviewed or edited by a human;
  • adhere to a risk management framework when utilizing AI; and
  • research, investigate, and develop AI swiftly but responsibly.

WHO Guidance for Large Multi-Modal Models of Generative AI

On January 18, 2024, the WHO released guidance for large multi-modal models (“LMM”) of generative AI, which can simultaneously process and understand multiple types of data modalities such as text, images, audio, and video. The WHO guidance contains 98 pages with over 40 recommendations for tech developers, providers and governments on LMMs, and names five potential applications of LMMs, such as (i) diagnosis and clinical care; (ii) patient-guided use; (iii) administrative tasks; (iv) medical education; and (v) scientific research. It also addresses the liability issues that may arise out of the use of LMMs.

Closely related to the WHO guidance, the European Council’s agreement to move forward with a European Union AI Act (“Act”), was a significant milestone in AI regulation in the European Union. As previewed in December 2023, the Act will inform how AI is regulated across the European Union, and other nations will likely take note of and follow suit.

Conclusion

There is no question that AI is here to stay. But how the healthcare industry will look when AI is more fully integrated still remains to be seen. The framework for regulating AI will continue to evolve as AI and the use of AI in healthcare settings changes. In the meantime, healthcare stakeholders considering or adopting AI solutions should stay abreast of developments in AI to ensure compliance with applicable laws and regulations.

Copyright © 2024, Sheppard Mullin Richter & Hampton LLP.
For more on Healthcare, visit the NLR Health Law & Managed Care section.

WHO Publishes Guidance for Ethics and Governance of AI for Healthcare Sector

The World Health Organization (WHO) recently published “Ethics and Governance of Artificial Intelligence for Health: Guidance on large multi-modal models” (LMMs), which is designed to provide “guidance to assist Member States in mapping the benefits and challenges associated with the use of for health and in developing policies and practices for appropriate development, provision and use. The guidance includes recommendations for governance within companies, by governments, and through international collaboration, aligned with the guiding principles. The principles and recommendations, which account for the unique ways in which humans can use generative AI for health, are the basis of this guidance.”

The guidance focused on one type of generative AI, large multi-modal models (LMMs), “which can accept one or more type of data input and generate diverse outputs that are not limited to the type of data fed into the algorithm.” According to the report, LMMs have “been adopted faster than any consumer application in history.” The report outlines the benefits and risks of LLMs, particularly the risk of using LLMs in the healthcare sector.

The report proposes solutions to address the risks of using LMMs in health care during development, provision, and deployment of LMMs and ethics and governance of LLMs, “what can be done, and by who.”

In the ever-changing world of AI, this is one report that is timely and provides steps and solutions to follow to tackle the risk of using LMMs.

Copyright © 2024 Robinson & Cole LLP. All rights reserved.
For more news on AI in Healthcare, visit the NLR Health Law & Managed Care section.