In an interesting case from last year, J.R. v. Horizon NJ Health, A-2028-21 (February 5, 2024), the American Civil Liberties Union (ACLU) of New Jersey, supported by advocacy groups like Disability Rights New Jersey and the National Health Law Program, took on a widespread issue affecting Medicaid recipients. The case centered on J.R., a child with medically complex needs whose Private Duty Nursing (PDN) hours were significantly reduced by Horizon NJ Health, her Medicaid provider. Despite some clever legal arguments, the Superior Court of New Jersey, Appellate Division, ruled in favor of the Horizon’s decision to scale back J.R.’s care hours.

Background

Born prematurely in February 2019, J.R. faces serious medical conditions, including bronchopulmonary dysplasia, hypertension, and laryngomalacia. Initially, Horizon provided her with round-the-clock PDN care to meet her intensive medical needs. However, in 2020, Horizon reassessed her condition using a form called the PDN Acuity Tool—developed by Milliman Care Guidelines—and decided to cut her nursing hours from 24 per day down to just 8. This drastic reduction, which unfortunately is a common practice, was challenged. Specifically, at issue was the fairness and reliability of the process when using an automated assessment method such as the PDN Acuity Tool.

Legal Arguments: A Fight for Fairness

The ACLU of New Jersey, advocating for J.R., presented novel arguments against Horizon NJ Health’s decision, emphasizing the following concerns:

  • Inadequate Notice: J.R.’s legal team argued that Horizon NJ Health failed to provide a clear, detailed explanation for reducing her PDN hours, leaving insufficient regulatory grounding for the decision.
  • Questionable Standards and the PDN Acuity Tool: Critics contend that the reliance on the PDN Acuity Tool constitutes an overly opaque method for determining medical necessity. While automated tools can standardize assessments, such systems risk oversimplifying the complexities inherent with severe disabilities. The proprietary nature of the tool—and the lack of transparency regarding its underlying algorithms—can conceal potential biases and errors that adversely affect vulnerable populations.
  • Ignoring Medical Expertise: Despite J.R.’s treating physician’s strong recommendation for 24/7 care, the decision-making process largely depended on the tool’s point score, which may not fully incorporate individualized clinical judgments.

The PDN Acuity Tool and Automated Decision-Making

This case is an important attempt at taking a critical look at the implications of using automated decision-making systems in the delivery of healthcare:

  • Balancing Standardization and Individual Needs: The PDN Acuity Tool was designed to convert complex clinical data into a quantifiable score. However, this case highlights the fact that while such tools promote consistency, they may fall short when addressing the multifaceted nature of a patient care. In J.R.’s case, the tool’s reduction from 24 to 8 hours was based on a standardized scoring system that her attorneys argued failed to fully capture the child’s nuanced clinical needs, and was contrary to the recommendation of her physician.
  • Transparency and Accountability Concerns: Critics argue that using algorithmic forms such as the PDN Acuity Tool lack transparency because there is no clear disclosure of how individual variables are weighted. The forms simply have pre-determined point values without disclosing how the point value was determined. As a result, consumers are left with little means to challenge potentially arbitrary reductions in care. This analysis underscores the necessity for state agencies to ensure that automated assessments are accompanied by detailed, accessible explanations that uphold due process rights. It also highlights a roadmap for future legal challenges.
  • Impact on Individuals with Unique Needs: While automated decision-making systems may be efficient, they may inadvertently disadvantage those with complex or atypical care needs. The legal discourse around J.R.’s case illustrates how reliance on proprietary tools can obscure critical nuances and lead to decisions that appear “reasonable” on paper but are ethically problematic when applied to individual patients.

The Court’s Decision: A Disappointing Outcome

The Appellate Division ultimately upheld the decision to reduce J.R.’s care hours, concluding that Horizon NJ Health had acted within Medicaid regulations. The ruling was based on several key points:

  • Sufficient Notice: The court found that, despite lacking explicit regulatory citations, the notice provided adequate information about the reasons for the reduction.
  • Legitimacy of the PDN Acuity Tool: No evidence was presented showing improper use of the tool. The court accepted its results as a “reasonable and objective” method to determine medical necessity, even as critics warned that such assessments might not fully address individual clinical complexities.
  • Consideration of Medical Evidence: The review included extensive clinical records and expert testimony, which the court deemed sufficient to support the decision.

What This Means for Medicaid Recipients

J.R.’s case brings to light the ongoing tension between cost containment measures and the rights of Medicaid beneficiaries to receive personalized, medically appropriate care. While automated tools like the PDN Acuity Tool offer efficiency, they also underscore the need for transparency, individualized assessment, and robust safeguards against the potential biases inherent in algorithm-driven decisions.

Looking Ahead

Although the ruling was not favorable, it highlights an important conversation regarding the use of automated decision-making systems. The Appellate Division seemed to indicate that it was looking for more evidence from J.R.’s side that could be a roadmap for future litigation. Specifically, the court noted that at the hearing stage “J.R. had the right to discovery, to subpoena witnesses, and to call her own witnesses, including experts.” Perhaps depositions of Horizon representatives and experts, as well as testimony from experts who are critical of the PDN tool could change the outcome in a future case. In the meantime, advocacy organizations will continue to call for clearer guidelines, enhanced transparency, and more comprehensive evaluations that integrate both standardized assessments and individualized clinical judgments. This case serves as a powerful reminder of the critical role legal advocacy plays in ensuring that technological advancements in healthcare do not come at the expense of patient rights and quality care.