case study: Patient: M.T., 44-year-old warehouse... | Nursing
Clinical Requirement:
Patient: M.T., 44-year-old warehouse supervisor Chief concern (Day 1): “Bad low-back pain after lifting a box.” Home AI tool: Patient uses the health system’s portal symptom-checker chatbot. After entering “low back pain,” “both legs tingling,” “can’t feel when wiping,” and “peeing less than usual,” the bot outputs “likely muscular strain home care; clinic visit in 3–5 days.” No red-flag alert is displayed. Course: • Day 2–3: Pain worsens; bilateral sciatica, saddle numbness, and urinary retention (“I haven’t peed since last night unless I strain”). The bot again recommends home care. • Day 4 (ED): Patient febrile, hypotensive, confused. Bladder scan >1200 mL; purulent urine after catheterization. MRI lumbar: massive central L4–L5 disc herniation compressing cauda equina. • Labs: Leukocytosis, lactate 5.2 mmol/L, creatinine bump. • Outcome: Despite urgent decompression and broad-spectrum antibiotics/ICU care, the patient develops uroseptic shock with multi-organ failure and dies on Day 6. Studies show online/AI symptom-checkers vary widely in diagnostic/triage accuracy and may miss emergencies; WHO and AHRQ urge caution and human oversight for clinical AI
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