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A randomized controlled trial of artificial intelligence-based analytics for clinical deterioration.

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Artificial intelligence (AI) predictive analytics displays did not reduce clinical deterioration events in hospitalized patients. While some patients with high risk scores had longer stays, the study found no significant improvement in event-free hours or mortality.

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Area of Science:

  • Clinical Informatics
  • Artificial Intelligence in Healthcare
  • Patient Monitoring

Background:

  • Acute care wards utilize various monitoring systems to detect patient deterioration.
  • Artificial intelligence (AI)-based predictive analytics offer potential for early risk identification.
  • The impact of passive AI displays on clinical outcomes requires rigorous evaluation.

Purpose of the Study:

  • To evaluate the effect of a passive AI-based predictive analytics display on patient outcomes.
  • To assess the impact on hours free of clinical deterioration events in medical-surgical patients.
  • To compare mortality rates within 21 days of admission between intervention and control groups.

Main Methods:

  • Pragmatic randomized controlled trial involving 10,422 inpatient visits.
  • Cluster randomization assigned patients to either AI risk display or usual care.
  • Primary outcome: clinical deterioration events (death, ICU transfer, intubation, arrest, surgery); secondary: 21-day mortality.

Main Results:

  • No significant difference in the primary outcome of clinical deterioration events between groups.
  • Patients with high AI risk scores experienced longer hospital stays (6.8 vs. 3.4 days).
  • A non-significant trend towards more event-free hours in the AI display group for patients experiencing clinical events.

Conclusions:

  • Passive AI-based predictive analytics displays, coupled with education, did not improve patient outcomes in this trial.
  • Pragmatic trial design allowed patient transfers, potentially confounding results.
  • Future research should focus on clinician interpretation, care processes, and communication surrounding AI tools.