‘Thank God they’re still alive’: Kaiser therapists claim its new screening system puts patients at higher risk by delaying their care

2026-03-21 · Source: AI (artificial intelligence) | The Guardian · Field: Health & Wellbeing — Healthcare Systems & Policy, Mental Health & Psychological Support, Medical Devices & Health Technology · Depth: Intermediate, medium

Summary

Kaiser Permanente mental health professionals, represented by the National Union of Health Care Workers (NUHW), are striking and filing complaints over a new patient screening system introduced in January 2024. This system uses unlicensed clerical staff asking scripted questions and online questionnaires (e-visits) for initial assessments, replacing licensed professionals as the first point of contact. Therapists report that this change has led to high-risk patients experiencing delays in care, sometimes arriving in severe states, while lower-risk patients may be fast-tracked, straining resources. The NUHW alleges that Kaiser uses an algorithm for triage decisions, violating state law, a claim Kaiser denies, stating clerical staff do not make clinical determinations. This comes after Kaiser faced a $200 million settlement in 2023 with California and a $31 million settlement in February 2026 with the US Department of Labor for previous mental health access delays.

Key takeaway

For healthcare executives evaluating new patient intake systems, you should critically assess the role of unlicensed personnel and AI in initial screenings. Your organization must ensure that such systems do not compromise patient safety or delay care for high-risk individuals, especially given Kaiser's prior settlements for access delays. Prioritize transparency regarding AI's function in triage and confirm compliance with state and federal regulations to mitigate legal and ethical risks.

Key insights

Unlicensed screening and potential AI use in healthcare triage raise concerns about patient safety and care quality.

Principles

• Licensed professionals enhance initial patient assessment accuracy.
• Algorithmic triage requires transparency and regulatory compliance.

Method

Kaiser's new screening involves unlicensed clerical staff using scripted "yes"/"no" questions and e-visits, potentially feeding data into an algorithm for triage scoring and scheduling.

In practice

• Evaluate new screening systems for patient safety impacts.
• Ensure regulatory compliance for AI in clinical decision-making.

Topics

• Kaiser Permanente
• Mental Health Services
• AI in Healthcare
• Patient Triage Systems
• Labor Disputes

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Ethicist, AI Product Manager, Policy Maker

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI (artificial intelligence) | The Guardian.