Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract  Objectives  Pharmacologic interaction alerting offers the potential for safer medication prescribing, but research reveals persistent concerns regarding alert fatigue. Research studies have tried various strategies to resolve this problem, with low overall success.  examined the effects of targeted alert reduction on clinician behavior in a resource constrained hospital.  Methods  A physician and a pharmacy informaticist reduced alert levels of several drug-drug interactions (DDI) that clinicians almost always overrode with approval from and knowledge of the medical staff. This study evaluated the behavioral changes in prescribers and non-prescribers as measured by "think time", a new metric for evaluating the resolution time for an alert, before and after suppression of selected DDI alerts.  Results  The user-seen DDI alert rate decreased from 9.98% of all orders to 9.20% (p=0.0001) with an overall volume reduction of 10.3%. There was no statistical difference in the reduction of cancelled (−10.00%) vs. proceed orders (−11.07%). Think time decreased overall by 0.61s (p  Conclusions  Targeted DDI alert reductions reduce alert burden overall, and increase net efficiency as measured by think time for all prescribers better than for non-prescribers. Think time may increase when cancelling or changing orders in response to DDI alerts vs. a decision to override an alert.
['Richard Schreiber', 'Julia A. Gregoire', 'Jacob E. Shaha', 'Steven H. Shaha']
I am writing a research paper on a idea Think time: A novel approach to analysis of clinicians’ behavior after reduction of drug-drug interaction alerts
[{"from": "human", "value": "I am writing a research paper on a idea Think time: A novel approach to analysis of clinicians\u2019 behavior after reduction of drug-drug interaction alerts"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract  Objectives  Pharmacologic interaction alerting offers the potential for safer medication prescribing, but research reveals persistent concerns regarding alert fatigue. Research studies have tried various strategies to resolve this problem, with low overall success.  examined the effects of targeted alert reduction on clinician behavior in a resource constrained hospital.  Methods  A physician and a pharmacy informaticist reduced alert levels of several drug-drug interactions (DDI) that clinicians almost always overrode with approval from and knowledge of the medical staff. This study evaluated the behavioral changes in prescribers and non-prescribers as measured by \"think time\", a new metric for evaluating the resolution time for an alert, before and after suppression of selected DDI alerts.  Results  The user-seen DDI alert rate decreased from 9.98% of all orders to 9.20% (p=0.0001) with an overall volume reduction of 10.3%. There was no statistical difference in the reduction of cancelled (\u221210.00%) vs. proceed orders (\u221211.07%). Think time decreased overall by 0.61s (p  Conclusions  Targeted DDI alert reductions reduce alert burden overall, and increase net efficiency as measured by think time for all prescribers better than for non-prescribers. Think time may increase when cancelling or changing orders in response to DDI alerts vs. a decision to override an alert."}]