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POSTERS

US_MedDel_2025-0051_Me_v1.0 - Colunga ASHP 2025 poster - Productivity thumbnail

ASHP Midyear 2025

Colunga et al. Impact of Smart Pump Integration with Electronic Medical Records on Clinicians’ Bedside Productivity within a Large Healthcare System (4-055)

 

  • DERS, smart pump-EMR integration, and auto-programming were associated with notable reductions in programming steps to infusion, time to infusion initiation, and time to resolve alerts.
  • By streamlining manual workflows, these technologies may reduce medication errors, decrease time spent on error correction within total infusions, and ease clinician's physical/cognitive burdens to enhance productivity, reduce burnout, and give time back to nurses.
US_MedDel_2025-0052_Me_v1.0 - ASHP 2025 Poster - Afaq Safety thumbnail

ASHP Midyear 2025

Afaq et al. Impact of Smart Pump Integration with Electronic Medical Records on Safety Events and Programming Compliance at a Large Healthcare System (4-054)
 

  • Smart pump-EMR integration and auto-programming demonstrated a significant reduction in patient safety alerts, aligning with recommendations from ISMP and ASHP.
  • Although these findings suggest benefits, opportunities remain for consistent use across all care areas and shift types.
  • QI and root-cause analyses may help to further improve auto-programming compliance and inform optimization of drug libraries and medications qualified for auto-programming, all of which aim to enhance patient safety.
US_MedDel_2025-0050_Me_v1.0 - Mourad CQI thumbnail

ASHP Midyear 2025

Mourad et al. Smart Pump Optimization Survey: Current Status and Potential for AI-Based Solutions (4-050)

 

  • This poster reports on a survey regarding smart pump drug library (DL) maintenance and continuous quality improvement (CQI) practices. Findings reveal significant gaps, including lack of frameworks, expertise, and resources for CQI review.
  • The survey highlights strong interest (78% of respondents) in an AI-based solution to optimize CQI practices, reduce medication errors, enhance patient safety, and minimize alert fatigue.
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Machine Learning Complements Smart Infusion Pump Safety Features

This study examines the potential for novel machine learning system to advance pump programming safety by helping hospitals build and maintain Dose Error Reduction System (DERS) drug libraries that more effectively stay aligned to evolving clinical practices.

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Titration Programming: Don’t Roll the Dice

This study looks at the incremental dose changes for each titration programmed for 15 high-alert I.V. medications. Understanding titration practices can guide more effective infusion safety protocols and innovations in safety systems.

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Listen to Your Clinicians: Collecting User Input After Smart Pump Implementation to Drive Continuous Quality Improvement

This study covers the Thunder Bay Regional Health Sciences Centre (TBRHSC) survey of all frontline clinicians within three months of their smart pump implementation to identify any gaps in end-user experience and drive continuous improvement.

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Utilization of Smart Pump Technology to Effect Practice Change

This study conducted at Thunder Bay Regional Health Sciences Centre (TBRHSC) found compliance with Dose Error Reduction System (DERS) increases patient safety.

LITERATURE & EVIDENCE

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