Maryland AI Health Insurance Adverse Decision Reporting

Overview

Maryland House Bill 1563 (HB 1563), officially titled "Emergency Room Services and Post-Acute Care - Coverage and Facility Studies," was enacted to address critical issues within the state's healthcare system, particularly concerning emergency medical services and post-acute care transitions. The legislation, approved by the Governor on April 28, 2026, and effective June 1, 2026, represents a significant step by Maryland to enhance oversight and transparency in health insurance practices. While its broader scope encompasses studies on hospital and post-acute bed capacity and improvements in emergency service coverage, a crucial component of HB 1563 is its mandate for health insurance carriers to report on the use of artificial intelligence (AI) in making adverse coverage decisions. This provision directly responds to growing concerns about the increasing reliance on automated systems in healthcare utilization management and the potential impact on patient care and access to services.

The impetus behind HB 1563 stems from a comprehensive effort to reduce emergency department wait times and improve patient flow across different care settings. Previous legislative efforts, such as the establishment of the Maryland Emergency Department Wait Time Reduction Commission, highlighted data fragmentation and shortages in post-acute care as significant contributing factors to these challenges. By requiring detailed reporting on adverse decisions, including whether AI tools were employed, the bill aims to shed light on how technology influences coverage determinations. This increased transparency is intended to enable the Maryland Insurance Administration (MIA) to identify patterns of denials, ensure fair practices, and ultimately protect consumers from potentially discriminatory or inappropriate automated decisions, thereby complementing the state's broader healthcare reform objectives.

Definitions

Within the context of Maryland HB 1563, several key terms are implicitly or explicitly defined to ensure clarity in its application. An "adverse decision" refers to a denial, reduction, or termination of coverage or payment for a healthcare service by a health insurance carrier. The bill specifically focuses on adverse decisions related to claims or authorization requests for services in emergency departments and admissions to post-acute care facilities, such as skilled nursing facilities and inpatient rehabilitation facilities. This broad definition ensures that a wide range of coverage denials are subject to the bill's reporting and examination requirements.

Crucially, the legislation introduces the concept of "artificial intelligence, algorithm, or other software tool" in the context of adverse decision-making. While the bill does not provide a standalone definition for these terms, it mandates carriers to report whether such tools were used in issuing adverse decisions. This indicates a legislative intent to capture any automated or semi-automated system that assists in or influences the determination of coverage. A "carrier" is defined broadly under Maryland insurance law to include insurers, nonprofit health service plans, health maintenance organizations (HMOs), and other entities regulated by the Maryland Insurance Administration, thereby ensuring comprehensive oversight across the health insurance landscape.

Governance and Institutional Framework

Maryland HB 1563 establishes a robust governance and institutional framework involving several key state entities to ensure its effective implementation and oversight. The primary regulatory body responsible for enforcing the provisions related to health insurance carriers is the Maryland Insurance Administration (MIA), headed by the Insurance Commissioner. The bill explicitly authorizes the Commissioner to conduct examinations of carriers that exhibit a pattern of adverse decisions or grievance decisions concerning emergency department services or post-acute care. This authority empowers the MIA to investigate potential systemic issues and ensure compliance with insurance laws, including the new reporting requirements for AI usage.

In addition to the MIA's enforcement role, the Maryland Health Care Commission (MHCC), in conjunction with the Health Services Cost Review Commission (HSCRC), is tasked with conducting critical studies mandated by HB 1563. These studies include quantifying bed capacity in hospitals and post-acute settings across the state and developing recommendations for an annual data collection and auditing process for these beds. Furthermore, the MHCC and HSCRC are required to analyze options for facilitating clinically appropriate transitions from acute to post-acute care settings. These commissions play a vital role in providing the data and analysis necessary for informed policymaking, ensuring that the regulatory framework is supported by comprehensive insights into the state's healthcare infrastructure and patient flow challenges.

Key Focus Areas

Maryland HB 1563 addresses several critical areas within the state's healthcare and health insurance sectors. A central focus is the enhanced transparency and oversight of adverse coverage decisions made by health insurance carriers. Specifically, the bill mandates that carriers include data in their annual appeals and grievances summary reports to the Maryland Insurance Administration (MIA) indicating whether an "artificial intelligence, algorithm, or other software tool" was utilized in making an adverse decision. This provision is designed to provide the MIA with crucial insights into the prevalence and impact of AI in utilization management, allowing for a more informed assessment of potential issues related to automated denials or delays in care.

Beyond AI reporting, HB 1563 also directs significant attention to improving the efficiency and effectiveness of emergency room services and post-acute care. The legislation requires the Maryland Health Care Commission (MHCC) and the Health Services Cost Review Commission (HSCRC) to undertake comprehensive studies. These studies aim to quantify the state's bed capacity in both hospitals and post-acute settings and to recommend a standardized process for the annual collection and auditing of this bed data. Furthermore, the commissions are tasked with exploring strategies to facilitate smoother and clinically appropriate transitions for patients moving from acute care to post-acute care environments. These studies are critical for addressing systemic issues that contribute to emergency department overcrowding and delayed patient discharges, ultimately aiming to optimize patient access and care coordination across the healthcare continuum.

Implementation Framework

The implementation framework for Maryland HB 1563 primarily centers on the reporting obligations of health insurance carriers and the oversight functions of the Maryland Insurance Administration (MIA). Carriers are now required to integrate specific data points into their existing annual appeals and grievances summary reports submitted to the MIA. This includes detailing the number of adverse decisions issued, the nature of these decisions (e.g., prior authorization, step therapy), the type of service involved, and, critically, whether an artificial intelligence, algorithm, or other software tool was used in reaching the adverse decision. This integration leverages established reporting mechanisms, streamlining the process for carriers while providing the MIA with granular data on AI's role in coverage denials.

The MIA is empowered to utilize this newly mandated AI-related data as a basis for conducting examinations of carriers. If the Commissioner identifies a pattern of adverse decisions or grievance decisions, particularly those involving emergency department services or post-acute care, the MIA can initiate a formal examination. This allows for a deeper dive into a carrier's practices, including a review of their utilization management processes and the specific application of AI tools. The costs associated with such examinations are to be borne by the carrier under review, providing an incentive for robust internal compliance. This framework ensures that the reporting requirements are not merely bureaucratic exercises but serve as actionable intelligence for regulatory intervention and consumer protection.

Monitoring and Evaluation

Monitoring and evaluation under Maryland HB 1563 are multifaceted, involving both ongoing reporting by carriers and specific studies by state commissions. Health insurance carriers are now obligated to regularly report to the Maryland Insurance Administration (MIA) on their adverse decisions, including a specific indication of whether artificial intelligence, algorithms, or other software tools were employed in making those determinations. This continuous data stream allows the MIA to monitor trends in AI usage and its potential impact on coverage denials over time. The MIA, in turn, incorporates this information into its annual appeals and grievances summary report, which is submitted to the General Assembly. This annual report serves as a key mechanism for legislative oversight, providing lawmakers with a comprehensive overview of the state of health insurance denials and the evolving role of AI.

In parallel, the Maryland Health Care Commission (MHCC) and the Health Services Cost Review Commission (HSCRC) are responsible for conducting and reporting on two significant studies. The first study focuses on quantifying bed capacity in Maryland hospitals and post-acute care settings and developing recommendations for an annual collection and auditing process for this data. The second study is dedicated to analyzing options for facilitating clinically appropriate transitions from acute to post-acute care. The findings and recommendations from both studies are due to the Senate Finance Committee and the House Health Committee by January 1, 2027. These reports will be crucial for evaluating the effectiveness of current policies, identifying areas for improvement, and informing future legislative or regulatory actions aimed at enhancing healthcare access and efficiency within the state.

Penalties, Liability, and Appeals

Maryland HB 1563 integrates its provisions regarding AI in adverse decision-making into the existing regulatory framework for health insurance, leveraging established mechanisms for penalties, liability, and appeals. While the bill itself does not introduce entirely new penalties specifically for AI misuse, it empowers the Maryland Insurance Administration (MIA) to conduct examinations of carriers based on patterns of adverse decisions, including those where AI tools were used. If an examination reveals violations of existing insurance laws or regulations, the MIA can impose penalties as stipulated in the Maryland Insurance Article. These penalties can range from administrative fines to corrective action plans, and in severe cases, could impact a carrier's license to operate within the state.

The bill's emphasis on reporting AI usage in adverse decisions is intended to enhance the MIA's ability to monitor and take action regarding inappropriate insurance denials. This means that if a carrier's use of AI leads to adverse decisions that are found to be unfair, discriminatory, or in violation of medical necessity standards under existing law, the carrier could face regulatory action. Furthermore, the existing appeals process for adverse decisions remains a critical avenue for consumers. Patients or their providers can appeal a denied claim, and the data collected on AI usage can potentially inform these appeals, providing an additional layer of scrutiny. The costs of any examination conducted by the Commissioner under these provisions are explicitly designated to be paid by the carrier under review, reinforcing accountability.

Relationship to Other Instruments

Maryland HB 1563 operates within and complements a broader landscape of existing legal and regulatory instruments governing healthcare and insurance in Maryland and at the federal level. The bill directly amends the Maryland Insurance Article, specifically by adding new reporting requirements for carriers regarding adverse decisions and the use of AI tools. This integration ensures that the new provisions are seamlessly incorporated into the state's established insurance regulatory framework. The bill's focus on emergency services coverage also aligns with federal mandates such as the Emergency Medical Treatment and Labor Act (EMTALA), which requires hospitals to provide emergency care regardless of a patient's ability to pay. The Maryland Insurance Administration's (MIA) ability to monitor and take action on denials is strengthened by these new reporting requirements, ensuring compliance with both state and federal patient protection laws.

Furthermore, HB 1563 builds upon and informs the work of other state initiatives aimed at improving healthcare access and efficiency. It is explicitly designed to complement and inform the efforts of the Maryland Emergency Department Wait Time Reduction Commission, which was established to address factors contributing to long wait times. The studies mandated by HB 1563 on bed capacity and post-acute care transitions directly address key findings and priorities identified by this commission. While Maryland HB 1563 focuses on reporting AI usage, other states, such as California (SB 1120) and Illinois (HB 2472), have also enacted legislation to regulate AI in utilization management, often requiring human oversight and prohibiting AI as the sole basis for denials. Maryland's approach contributes to this evolving national dialogue by mandating specific transparency around AI's involvement in adverse decisions, thereby providing a basis for future, more prescriptive regulations if deemed necessary.

National/Federal Alignment

Maryland HB 1563 aligns with a growing national trend among U.S. states to address the increasing use of artificial intelligence in healthcare, particularly within health insurance utilization management. While federal regulation specifically targeting AI in health insurance is still developing, states like Maryland are proactively establishing guardrails to ensure patient protection and transparency. The bill's requirement for carriers to report on AI usage in adverse decisions contributes to a broader understanding of how these technologies impact patient care across the country. This data can inform future federal discussions and potential legislation, as policymakers at all levels grapple with the ethical, fairness, and access implications of AI in healthcare.

The legislation's focus on emergency room services and post-acute care also resonates with federal priorities concerning healthcare access and quality. Federal laws like EMTALA already set baseline requirements for emergency care, and state-level efforts like HB 1563 complement these by enhancing oversight of insurance coverage for such services. By mandating studies on bed capacity and care transitions, Maryland is addressing systemic issues that are often discussed in national healthcare policy debates. This state-level action provides valuable insights and models for other jurisdictions, demonstrating how localized regulatory responses can contribute to a more comprehensive and transparent approach to AI integration in the healthcare system, potentially influencing future federal guidelines or regulations.

Implementation Timeline

Compliance Checklist

Sources and References