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In a previous study, we reported on a successful clinical decision support (CDS) intervention designed to improve electronic problem list accuracy, but did not study variability of provider response to the intervention or provider attitudes towards it. The alert system accurately predicted missing problem list items based on health data captured in a patient's electronic medical record.To assess provider attitudes towards a rule-based CDS alert system as well as heterogeneity of acceptance rates across providers.We conducted a by-provider analysis of alert logs from the previous study. In addition, we assessed provider opinions of the intervention via an email survey of providers who received the alerts (n = 140).Although the alert acceptance rate was 38.1

作者:J, Feblowitz;S, Henkin;J, Pang;H, Ramelson;L, Schneider;F L, Maloney;A R, Wilcox;D W, Bates;A, Wright

来源:Applied clinical informatics 2013 年 4卷 1期

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作者:
J, Feblowitz;S, Henkin;J, Pang;H, Ramelson;L, Schneider;F L, Maloney;A R, Wilcox;D W, Bates;A, Wright
来源:
Applied clinical informatics 2013 年 4卷 1期
标签:
Patient problem list electronic medical records primary care
In a previous study, we reported on a successful clinical decision support (CDS) intervention designed to improve electronic problem list accuracy, but did not study variability of provider response to the intervention or provider attitudes towards it. The alert system accurately predicted missing problem list items based on health data captured in a patient's electronic medical record.To assess provider attitudes towards a rule-based CDS alert system as well as heterogeneity of acceptance rates across providers.We conducted a by-provider analysis of alert logs from the previous study. In addition, we assessed provider opinions of the intervention via an email survey of providers who received the alerts (n = 140).Although the alert acceptance rate was 38.1