Table 2
Percentage of Recommendations Implemented by EHR and Non-EHR Electronic Prescribing Products
| Full Implementation, % | Full and Partial Implementation, % | |||
| Recommendation Group (No. of Recommendations in Group) | EHR (N = 5) | Non-EHR (N = 5) | EHR (N = 5) | Non-EHR (N = 5) |
| Overall (60) | 60 | 35 | 72 | 48 |
| Patient safety and health outcomes subset (52) | 63 | 37 | 74 | 46 |
| Helping patients manage costs subset (18) | 53 | 13 | 67 | 20 |
| Reducing underuse subset (15) | 47 | 18 | 60 | 18 |
| Functional categories | ||||
| Patient identification (4) | 75 | 50 | 100 | 75 |
| Access to patient historical data (8) | 38 | 14 | 86 | 29 |
| Medication selection (14) | 57 | 33 | 62 | 50 |
| Alerts and other messages (12) | 55 | 30 | 73 | 60 |
| Patient education (2) | 100 | 0 | 100 | 0 |
| Data transmission and storage (7) | 67 | 60 | 75 | 67 |
| Monitoring and renewals (5) | 60 | 20 | 60 | 20 |
| Transparency and accountability (2) | 100 | 0 | 100 | 50 |
| Prescriber-level feedback (2) | 50 | 0 | 50 | 0 |
| Security and confidentiality (4) | 100 | 75 | 100 | 100 |
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EHR = electronic health record.
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We calculated the percentage of recommendations that each system implemented within each of the subsets shown. The values shown are the medians of the within-subset percentages among systems. For example, in the functional category of patient identification (containing four recommendations), the median EHR system fully implemented 75% of the recommendations and the median non-EHR system fully implemented 50% of the recommendations.
