65 yrs); 38% were more (14% stated less) likely to accept alerts on patients with more than 5 current medications; and 38% were more (20% stated less) likely to accept alerts on patients with more than 5 chronic clinical conditions. Interestingly, 80% said they were less likely to accept alerts when they were behind schedule and 84% of clinicians admitted to being at least 20 minutes behind schedule "some", "most", or "all of the time". Conclusion Even though a majority of our clinical decision support suggestions are not explicitly followed, clinicians feel they are of benefit and would be even more beneficial if they had more time available to address them."/>
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Table 2 Patient characteristics that might influence clinician acceptance of alerts.

From: A survey of factors affecting clinician acceptance of clinical decision support

  MORE LESS EQUALLY
Elderly patients (> 65 years old) 40% 11% 49%
Many current medications (> 5) 36% 15% 49%
Many chronic conditions (>5) 36% 20% 44%
Presenting with Acute Problem 9% 59% 32%