🚨Kaiser Cuts Triage Staff, AI Delays Care
AI in mental health: delays, missed diagnoses
TL;DR
Kaiser Permanente's shift to AI in triage has led to staffing cuts and patient care delays. From nine to three clinicians, patients face longer wait times and inappropriate treatment.
Kaiser Permanente has reduced its triage clinician staff from nine to just three, with the remaining work handled by AI and algorithmic tools. This shift has led to dangerous delays, missed diagnoses, and inappropriate treatment decisions. Patients are now often routed through apps or nonclinical staff, making it harder for them to get the care they need. For instance, a patient who was a severe suicidal risk was admitted to the lowest level of care instead of inpatient care. The use of AI in mental health care raises serious concerns about patient access to timely and appropriate care.
Key Points
Kaiser's triage staff reduced from nine to three clinicians.
AI and algorithmic tools now handle some work previously done by employees.
Patients face delays, missed diagnoses, and inappropriate treatment decisions.
Kaiser's AI shift has led to patients being routed through apps or nonclinical staff.
A patient at severe risk was admitted to the lowest level of care instead of inpatient care.
Why It Matters
Kaiser's shift to AI in triage has affected patient care, with delays and inappropriate treatment decisions. For example, a patient at severe risk was admitted to the lowest level of care instead of inpatient care. This highlights the urgent need for safeguards around AI in medical settings.
Frequently Asked Questions
Why does this matter?
Kaiser's shift to AI in triage has affected patient care, with delays and inappropriate treatment decisions. For example, a patient at severe risk was admitted to the lowest level of care instead of inpatient care. This highlights the urgent need for safeguards around AI in medical settings.
What happened?
Kaiser Permanente's shift to AI in triage has led to staffing cuts and patient care delays. From nine to three clinicians, patients face longer wait times and inappropriate treatment.
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