| Autor: |
Hana Bangash, Omar Elsekaily, Seyedmohammad Saadatagah, Joseph Sutton, Paul Johnsen, Justin H. Gundelach, Arailym Kamzabek, Robert Freimuth, Pedro J. Caraballo, Iftikhar J. Kullo |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Journal of Personalized Medicine. 13:929 |
| ISSN: |
2075-4426 |
| DOI: |
10.3390/jpm13060929 |
| Popis: |
Familial Hypercholesterolemia (FH) is underdiagnosed in the United States. Clinical decision support (CDS) could increase FH detection once implemented in clinical workflows. We deployed CDS for FH at an academic medical center and sought clinician insights using an implementation survey. In November 2020, the FH CDS was deployed in the electronic health record at all Mayo Clinic sites in two formats: a best practice advisory (BPA) and an in-basket alert. Over three months, 104 clinicians participated in the survey (response rate 11.1%). Most clinicians (81%) agreed that CDS implementation was a good option for identifying FH patients; 78% recognized the importance of implementing the tool in practice, and 72% agreed it would improve early diagnosis of FH. In comparing the two alert formats, clinicians found the in-basket alert more acceptable (p = 0.036) and more feasible (p = 0.042) than the BPA. Overall, clinicians favored implementing the FH CDS in clinical practice and provided feedback that led to iterative refinement of the tool. Such a tool can potentially increase FH detection and optimize patient management. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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