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From Algorithms to Acidosis

Shirley Shao, MD, Geoffrey Comp, DO, FACEP, Andy Little, DO, John Casey, DO, Anne Steckowych, APRN, and Brett Murray, MD

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The summary below is from an episode of ERcast: Clinical Perspectives

Salicylate toxicity is a pH-driven poisoning where tachypnea, a mixed respiratory alkalosis with metabolic acidosis, and a misleadingly modest first level can precede rapid deterioration. Prehospital AI is already reshaping EMS dispatch, triage, and destination decisions, but only works safely with human oversight and protocol-level guardrails.

Salicylate Toxicity Essentials

  • Classic acid-base pattern: Early salicylate poisoning causes a primary respiratory alkalosis, then evolves into a mixed respiratory alkalosis and metabolic acidosis that should immediately raise suspicion.
  • Chronic toxicity red flags: Older adults with confusion, tachypnea, or vague decline after medication changes can have chronic salicylate toxicity, which is often missed and can be deadlier than an acute ingestion.
  • Misleading single drug level: One salicylate level is not enough because delayed absorption and tissue redistribution can make an initially modest result falsely reassuring; that serial trend is central in the chapter.
  • Alkalinization as core therapy: Sodium bicarbonate is the first-line treatment because alkalemia keeps salicylate ionized, limits CNS penetration, and enhances elimination, with potassium repletion as a nonoptional partner.
  • High-risk airway physiology: Intubation is dangerous because these patients rely on high minute ventilation to buffer acidemia; even brief peri-intubation hypoventilation can precipitate abrupt clinical worsening. We get into the airway nuances in the episode.
  • Early dialysis triggers: Pulmonary edema, renal failure, worsening mental status, severe acidosis, or failure to improve with bicarbonate should move dialysis up early rather than waiting for a crash.

AI in EMS Operations

  • Dynamic dispatch optimization: AI is already being used to stage ambulances from real-time and historical demand data, improving response times and matching crews to where call volume is likely to surge.
  • Enhanced dispatch triage: Call-center AI can analyze voice tone and background audio to flag cardiac arrest sooner and suggest stroke earlier, helping identify critical illness before EMS reaches the scene.
  • Field decision support: Prehospital AI can assist with protocol lookups, medication questions, and destination planning, especially in rural systems or long transports where decision support is thin. We walk through the practical use cases in the episode.
  • Trauma destination prediction: AI trauma triage models have outperformed human judgment in predicting which injured patients need a trauma center versus a community hospital, a meaningful signal for future EMS workflows.
  • Bias and confabulation risks: AI can misread incomplete prehospital data or amplify existing disparities such as zip-code bias, so unchecked recommendations can create new safety problems instead of solving old ones.
  • Human oversight governance: Safe adoption starts with low-risk pilots such as dispatch support or protocol review and keeps clinicians responsible for overruling bad output under clear governance.

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References:

  1. Vearrier L, Derse AR, Basford JB, Larkin GL, Moskop JC. Artificial Intelligence in Emergency Medicine: Benefits, Risks, and Recommendations. J Emerg Med. 2022 Apr;62(4):492-499. PMID: 35164977.
  2. Ventura CAI, Denton EE. Artificial Intelligence Chatbots and Emergency Medical Services: Perspectives on the Implications of Generative AI in Prehospital Care. Open Access Emerg Med. 2023 Sep 7;15:289-292. PMID: 37701881
  3. Authors, Clark M, Severn M. Artificial Intelligence in Prehospital Emergency Health Care: CADTH Horizon Scan. Ottawa (ON): Canadian Agency for Drugs and Technologies in Health; August 2023. PMID: 37934833
  4. Center for Public Safety Management. The Role of Artificial Intelligence in Pre-hospital Care. Published December 26, 2023. Accessed December 1, 2025. https://cpsm.us/the-role-of-artificial-intelligence-in-pre-hospital-care/
  5. Bauter, E.  Applying Artificial Intelligence to EMS Strategy. American Journal of Healthcare Strategy.  2025; 1(3). Link

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