HB3675 would regulate how health insurance utilization review agents in Oklahoma make adverse determinations, which are decisions that proposed or provided health care services are not medically necessary, appropriate, or are experimental or investigational. The bill defines key terms such as algorithm, artificial intelligence system, automated decision system, and qualified human professional, and then requires that any adverse determination made by an algorithm, AI system, or automated decision system be reviewed by a qualified human professional before it is finalized.
The bill also allows the Oklahoma Insurance Commissioner to audit and inspect a utilization review agent’s use of automated decision systems at any time. At the same time, it expressly preserves the use of automated systems for administrative support and fraud detection, so long as they are not used to make final adverse coverage decisions. It further requires adverse determination notices to include the principal reasons, clinical basis, screening criteria and review procedures used, and information about the enrollee’s complaint and appeal rights, including independent review organization appeal procedures.
Impact
HB3675 would add new provisions to Title 36 of the Oklahoma Statutes governing utilization review and health insurance decision-making. It would create a statutory requirement for human review of AI- or algorithm-generated adverse determinations, expand regulatory oversight by the Insurance Commissioner, and strengthen notice requirements for patients and enrollees receiving coverage denials. The bill would affect health insurers, utilization review agents, and patients seeking coverage for medical services, while leaving room for automated tools in non-decisional administrative and fraud-detection functions.
Sentiment
Based on the bill text and available context, the measure appears generally supportive of consumer protections and oversight in health insurance decision-making. The bill’s structure suggests concern about overreliance on automated systems in medical necessity determinations and a preference for human clinical judgment. There is no recorded committee debate or vote history in the provided materials, so no direct opposition or support statements are available beyond the bill’s protective framing.
Contention
The main point of potential contention is the restriction on using algorithms, artificial intelligence, or automated decision systems to make final adverse determinations, which could be viewed by insurers and utilization review entities as limiting efficiency or increasing administrative burden. Another possible issue is the scope of the Insurance Commissioner’s audit authority over automated decision systems, which may raise concerns about regulatory reach and compliance costs. Supporters would likely emphasize patient protections, transparency, and the need for qualified human review in medical coverage decisions, while critics may focus on operational impacts and the bill’s treatment of AI in insurance workflows.