Table 2.
Misconception (1) | Reality (10) | Researchers/clinicians* mean (SD) | HIT team* mean (SD) | Diff. mean (SD) | p-value | |
---|---|---|---|---|---|---|
EHR IT is a single group | ↔ | EHR IT consists of multiple, specialized groups | 2.76 (3.10) | 9.50 (0.53) | 6.39 (2.99) | 0.003 |
All EHR IT members know the entire EHR functionality | ↔ | EHR IT members specialize more in some parts of the functionality than others | 3.66 (2.38) | 9.05 (0.91) | 5.16 (2.59) | 0.005 |
Changes to an EHR need the input of just a single EHR IT member | ↔ | Changes to an EHR need the input of many EHR IT members | 4.76 (2.55) | 9.37 (0.60) | 4.63 (2.86) | 0.01 |
The technological complexity of a project mirrors the clinical complexity (e.g., if the workflow is simple, IT build will be simple) | ↔ | The technological complexity of a project often differs from the clinical complexity | 3.39 (3.00) | 7.35 (2.86) | 4.88 (4.16) | 0.03† |
The value represents the distance (cm) from the left end of the 10-cm visual analog scale, where the left end was the misconception and the right end the reality as identified by the researchers.
When physician informaticists were excluded from analysis, the difference was no longer significant (p= 0.09).