| Autor: |
Hung S Luu, Laura M Filkins, Jason Y Park, Dinesh Rakheja, Jefferson Tweed, Christopher Menzies, Vincent J Wang, Vineeta Mittal, Christoph U Lehmann, Michael E Sebert |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
JMIR Medical Informatics, Vol 9, Iss 10, p e32303 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2291-9694 |
| DOI: |
10.2196/32303 |
| Popis: |
BackgroundThe COVID-19 pandemic has resulted in shortages of diagnostic tests, personal protective equipment, hospital beds, and other critical resources. ObjectiveWe sought to improve the management of scarce resources by leveraging electronic health record (EHR) functionality, computerized provider order entry, clinical decision support (CDS), and data analytics. MethodsDue to the complex eligibility criteria for COVID-19 tests and the EHR implementation–related challenges of ordering these tests, care providers have faced obstacles in selecting the appropriate test modality. As test choice is dependent upon specific patient criteria, we built a decision tree within the EHR to automate the test selection process by using a branching series of questions that linked clinical criteria to the appropriate SARS-CoV-2 test and triggered an EHR flag for patients who met our institutional persons under investigation criteria. ResultsThe percentage of tests that had to be canceled and reordered due to errors in selecting the correct testing modality was 3.8% (23/608) before CDS implementation and 1% (262/26,643) after CDS implementation (P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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