Development and Implementation of an AI System for Generating Clinical Urine Drug Test Sign-Outs - Takeaways - MDSpire

Development and Implementation of an AI System for Generating Clinical Urine Drug Test Sign-Outs

  • By

  • Nathan Laha

  • Michael Keebaugh

  • Hsuan-Chieh Liao

  • Bright Amankwaa

  • Olumuyiwa Adesoye

  • Abed Pablo

  • William S. Phipps

  • Andrew N. Hoofnagle

  • Geoffrey S. Baird

  • Patrick C. Mathias

  • Brody H. Foy

  • June 23, 2026

  • 0 min

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  • 1

    Urine drug tests (UDTs) are utilized in various clinical settings to monitor medication adherence, especially in patients with substance use disorders.

  • 2

    Complex UDT cases may require consultation with clinical chemists, which can increase turnaround times and operational costs.

  • 3

    The study developed an AI tool using nongenerative machine-learning to generate preliminary interpretations of UDTs, enhancing toxicology services.

  • 4

    The AI tool achieved expert-level accuracy and reduced sign-out time when integrated into the clinical UDT workflow.

  • 5

    Data for the study were collected from UWM's health record system, focusing on substances detectable under 2024 testing protocols.

Original Source(s)

Development and Implementation of an AI System for Generating Clinical Urine Drug Test Sign-Outs

  • by Nathan Laha, Michael Keebaugh, Hsuan-Chieh Liao, Bright Amankwaa, Olumuyiwa Adesoye, Abed Pablo, William S. Phipps, Andrew N. Hoofnagle, Geoffrey S. Baird, Patrick C. Mathias, Brody H. Foy

  • June 23, 2026

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