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Pediatric Informatics: Computer Applications in Child Health (Health ...

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250 M.G. Leu et al.<br />

director-level meet<strong>in</strong>gs throughout the organization. This massive coord<strong>in</strong>ated<br />

effort would not have been possible without the support provided by the hospital<br />

leaders.<br />

In addition to hospital leadership, there was significant <strong>in</strong>vestment by the cl<strong>in</strong>ical<br />

divisions and staff. Prior to go-live, 100 ambulatory CPOE super-users were identified,<br />

with a broad representation of at least one physician, nurse, medical assistant,<br />

and ancillary staff member for every cl<strong>in</strong>ic. These <strong>in</strong>dividuals were <strong>in</strong>volved with<br />

writ<strong>in</strong>g test<strong>in</strong>g and tra<strong>in</strong><strong>in</strong>g scenarios, conduct<strong>in</strong>g local site tra<strong>in</strong><strong>in</strong>g as needed, and<br />

with provid<strong>in</strong>g support dur<strong>in</strong>g and after go-live.<br />

17.7.4 Design of Cl<strong>in</strong>ical Content<br />

Concurrent with important process- and system-related decisions be<strong>in</strong>g made, two<br />

<strong>in</strong>formatics physicians led an effort to design the order sets. A multistep development<br />

process was employed to design, build, test, and implement order sets (Table 17.7).<br />

The first step of the process <strong>in</strong>volved determ<strong>in</strong><strong>in</strong>g the current state and identify<strong>in</strong>g<br />

key departmental cl<strong>in</strong>ician champions. As ACPOE was a hospital priority,<br />

these cl<strong>in</strong>icians enjoyed the strong support of their departments. In the next step,<br />

<strong>in</strong>stitutional order set standards were def<strong>in</strong>ed, with a basic order template be<strong>in</strong>g<br />

created. This template was then sent to the cl<strong>in</strong>ician champions, <strong>in</strong> conjunction<br />

with a list of the “top ten” diagnoses seen <strong>in</strong> their specialty area and <strong>in</strong>structions for<br />

how to create the desired specialty-specific order sets. Cl<strong>in</strong>icians were asked to use<br />

evidence-based standards where available, and otherwise to send consensus-based<br />

recommendations from their department.<br />

Once received, the <strong>in</strong>formatics physicians converted the content <strong>in</strong>to a standard<br />

format. The cl<strong>in</strong>ical content of the order sets then underwent a multidiscipl<strong>in</strong>ary<br />

review with representatives from pharmacy, laboratory, radiology, nurses, and medic<strong>in</strong>e.<br />

The revised order sets were sent back to the orig<strong>in</strong>at<strong>in</strong>g departments for a f<strong>in</strong>al<br />

signoff, and the order sets were then <strong>in</strong>corporated <strong>in</strong>to the test system. After test<strong>in</strong>g<br />

and additional user feedback, the order sets were f<strong>in</strong>e-tuned prior to go-live.<br />

Table 17.7 Order set development and deployment process<br />

1. Def<strong>in</strong>e organizational order set standards, create basic template<br />

2. Review current state of cl<strong>in</strong>ic orders, top ten diagnoses<br />

3. Identify cl<strong>in</strong>ical champions (physicians) <strong>in</strong> each division<br />

4. Send <strong>in</strong>formation collected <strong>in</strong> #2 to departments via cl<strong>in</strong>ical champions<br />

and collect proposed order sets<br />

5. Multidiscipl<strong>in</strong>ary review of order sets<br />

6. F<strong>in</strong>alize order sets and obta<strong>in</strong> divisional sign-off<br />

7. Incorporate order sets <strong>in</strong>to test<strong>in</strong>g environment, test order sets<br />

8. Ref<strong>in</strong>e order sets based on test<strong>in</strong>g and feedback<br />

9. Tra<strong>in</strong> users<br />

10. Go-live with order sets and cont<strong>in</strong>ually ref<strong>in</strong>e based on user feedback

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