EHR use reduced both clerical and clinical staff work burden by improving how they check in and room patients, how they chart their work, and how they communicate with both patients and providers. The impact of EHR use on work burden differed for clinicians compared to support staff. All practice members and selected patients in seven community-based primary care practices in the Northeastern US. Field research data were coded and analyzed by a multidisciplinary research team, using a grounded theory approach. A team of field researchers spent 9-14 days over a 4-8 week period observing work in each practice, following patients through the practices, conducting interviews with key informants, and collecting documents and photographs. We conducted in-depth field research in seven community-based primary care practices. To study the impact of EHR use on clinician and staff work burden in small, community-based primary care practices. Relatively little is known, however, about how implementation and use of this technology affects the work of clinicians and support staff who provide primary health care in small, independent practices. The use of electronic health records (EHR) is widely recommended as a means to improve the quality, safety and efficiency of US healthcare. Improvements to increase specificity and reduce alert overload are needed. Conclusions Primary care prescribers recognize the patient safety value of drug prescribing alerts embedded within electronic prescribing software. Participant suggestions included: (1) run drug alerts on an active medication list and (2) allow prescribers to set the threshold for severity of alerts. However, they noted that alerts are too sensitive and often unnecessary. #ISCRIBE INTERVIEW QUESTIOSN SOFTWARE#Participants indicated that the software and the interaction alerts were beneficial to patient safety and valued seeing drug–drug interactions for medications prescribed by others. Measurements The study measures self-reported frequency of overriding of drug alerts open-ended responses to: “What do you think of the drug alerts your software generates for you?” Results More than 40% of prescribers indicated they override drug–drug interactions most of the time or always (range by e-prescribing system, 25% to 50%). Participants Prescribers (n = 157) working in one of 64 practices using 1 of 6 e-prescribing technologies in 6 US states completed the quantitative survey and 276 prescribers and staff participated in focus groups. Design We used a mixed-method study which included clinician surveys (web-based and paper) and focus groups with prescribers and staff. Objectives The objective of this paper was to describe primary care prescribers’ perspectives on electronic prescribing drug alerts at the point of prescribing.
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