Table 2.
Frequency of Problems Detected per User Profile, and Number of End-Users Identifying the Problem (“0” Indicates Only the Usability Expert Identified a Problem)
| User profile | Number of end-users detecting the problem | Number of problems detected (% per profile where relevant) | Sum | ||
|---|---|---|---|---|---|
| EHR1 | EHR 2 | EHR3 | |||
| Physician | 0 (UE) | 1 (2.3%) | 1 (2.4%) | 1 (6.25%) | 3 |
| 1 | 31 (72%) | 25 (61%) | 8 (50%) | 64 | |
| 2 | 8 (18.6%) | 11 (26.8%) | 4 (25%) | 23 | |
| 3 | 3 (7%) | 4 (9.7%) | 3 (18.75%) | 10 | |
| Nurse | 0 (UE) | 1 (3.8%) | 0 | 2 (6.9%) | 3 |
| 1 | 15 (53.8%) | 14 (63.6%) | 17 (58.6%) | 46 | |
| 2 | 8 (30.8%) | 3 (13.6%) | 8 (27.6%) | 19 | |
| 3 | 3 (11.5) | 5 (22.7%) | 2 (6.9%) | 10 | |
| Pharmacist | 0 (UE) | 0 | 0 | 0 | 0 |
| 1 | 14 (100%) | 23 (100%) | 9 (100%) | 46 | |
| Medical clerk | 0 (UE) | 0 | 0 | 0 | 0 |
| 1 | 10 (100%) | 9 (100%) | 6 (100%) | 25 | |
| Admission officer | 0 (UE) | 1 (20%) | 0 | 0 | 1 |
| 1 | 4 (80%) | 5(100%) | 6 (100%) | 15 | |
| Sum | 99 | 100 | 66 | 265 | |
Acronyms: UE, usability expert; EHR, electronic health record