Artificial Intelligence Scribes and Same-Day Note Closure by Patient Language Preference and Interpreter - Scorecard - MDSpire
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AI Scribes and Same-Day Clinical Note Completion Across Patient Language Preferences and Interpreter Use

  • By

  • Jorge A. Rodriguez

  • Stuart R. Lipsitz

  • Gezzer Ortega

  • Jacqueline G. You

  • Rebecca G. Mishuris

  • Lipika Samal

  • November 6, 2026

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Clinical Scorecard: AI Scribes and Same-Day Clinical Note Completion Across Patient Language Preferences and Interpreter Use

At a Glance

CategoryDetail
ConditionSame-day note closure by patient language preference and interpreter modality
Key MechanismsAI scribe use was associated with same-day note closure; associations varied by encounter communication category.
Target PopulationAdult primary care encounters at 14 clinics in one Boston academic medical center, May 2025 to May 2026
Care SettingIn-person adult primary care visits, including language-concordant and interpreter-mediated encounters

Key Highlights

  • The cross-sectional study included 209,009 encounters, 117,121 patients, and 286 clinicians.
  • Adjusted AI scribe use was associated with a 10.2 percentage-point higher probability of same-day note closure in NELP language-concordant encounters (95% CI, 7.4-12.9; P < .001).
  • In English language-concordant encounters, AI scribe use was associated with a 1.7 percentage-point higher probability of same-day note closure (95% CI, 0.9-2.6; P < .001).
  • Associations for nonconcordant encounters involving interpreters or no interpreter were inconclusive because confidence intervals were wide.
  • The study was observational; the reported associations should not be interpreted as causal effects.

Guideline-Based Recommendations

Diagnosis

    Management

    • The authors recommend combining AI scribe adoption with investment in bilingual workforce development.
    • The authors recommend that developers prioritize models supporting interpreter-mediated workflows.

    Monitoring & Follow-up

      Risks

      • The authors suggest acoustically complex conversations, including multiple speakers and language switching, may affect AI scribe performance.
      • The retrospective, single-system design, clinician-selected use, and potential residual confounding limit interpretation and generalizability.

      Patient & Prescribing Data

      Adult primary care patients seen in person; NELP encounters accounted for 7.6% of encounters.

      AI scribe use was associated with higher same-day note closure in language-concordant encounters, with the largest adjusted association in NELP language-concordant visits. Findings for interpreter-mediated and nonconcordant visits were inconclusive.

      Clinical Best Practices

      • Interpret the reported results as associations, not causal effects.
      • Consider language concordance and interpreter modality when evaluating AI scribe performance.
      • Support bilingual workforce development alongside AI scribe adoption, as recommended by the authors.

      Related Resources & Content

      Original Source(s)

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