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Related Experiment Video

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A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions
10:38

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Published on: July 16, 2015

Effectiveness of interruptive alerts in increasing application functionality utilization: a controlled trial.

Alexander Turchin1, Oliver D James, Eric D Godlewski

  • 1Clinical Informatics Research and Development, Partners HealthCare, Boston, MA, USA. aturchin@partners.org

Journal of Biomedical Informatics
|July 20, 2010
PubMed
Summary
This summary is machine-generated.

Interruptive alerts effectively increase user engagement with medical application features. This study found alerts significantly boosted the utilization of functionalities within the Pre-Admission Medication List (PAML) Builder.

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Area of Science:

  • Health Informatics
  • Human-Computer Interaction
  • Medical Software Development

Background:

  • Medical applications offer numerous functionalities, but users often remain unaware of their full capabilities.
  • There is a need for improved methods to inform users about available features within healthcare software.
  • The Pre-Admission Medication List (PAML) Builder application is a tool used in academic medical centers.

Purpose of the Study:

  • To evaluate the effectiveness of interruptive alerts in increasing user utilization of specific functionalities within the PAML Builder application.
  • To determine if proactive notifications can enhance user engagement with underutilized features.
  • To assess the impact of alerts on the adoption of new or existing functionalities.

Main Methods:

  • A pseudo-randomized controlled trial was conducted at two academic medical centers.
  • The study compared user behavior in the PAML Builder application with and without interruptive alerts.
  • Log-linear models were used to analyze the utilization data at both site and user levels.

Main Results:

  • Interruptive alerts significantly increased the total utilization of promoted functionalities by 70% per PAML built at the site level (p<0.0001).
  • At the individual user level, each additional alert shown correlated with a 0.03 increase in the frequency of functionality utilization (p<0.0001).
  • Overall, alerts resulted in a nearly two-fold increase in the utilization of the targeted functionalities.

Conclusions:

  • Interruptive alerts serve as an effective strategy for informing users about available functionalities in medical applications.
  • Implementing alert systems can significantly enhance user engagement and feature adoption in healthcare software.
  • This approach addresses the challenge of user unawareness and promotes better utilization of valuable application tools.