Encoding laboratory testing data: case studies of the national implementation of HHS requirements and related standards in five laboratories
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Objective: Assess the effectiveness of providing Logical Observation Identifiers Names and Codes (LOINC®)-to-In Vitro Diagnostic (LIVD) coding specification, required by the United States Department of Health and Human Services for SARS-CoV-2 reporting, in medical center laboratories and utilize findings to inform future United States Food and Drug Administration policy on the use of real-world evidence in regulatory decisions.
Materials and Methods: We compared gaps and similarities between diagnostic test manufacturersâ recommended LOINC® codes and the LOINC® codes used in medical center laboratories for the same tests.
Results: Five medical centers and three test manufacturers extracted data from laboratory information systems (LIS) for prioritized tests of interest. The data submission ranged from 74 to 532 LOINC® codes per site. Three test manufacturers submitted 15 LIVD catalogs representing 26 distinct devices, 6956 tests, and 686 LOINC® codes. We identified mismatches in how med..., Five medical centers and three test manufacturers extracted data from laboratory information systems (LIS) for prioritized tests of interest. The data submission ranged from 74 to 532 LOINC® codes per site. Three test manufacturers submitted 15 LIVD catalogs representing 26 distinct devices, 6,956 tests, and 686 LOINC® codes. We identified mismatches in how medical centers use LOINC® to encode laboratory tests compared to how test manufacturers encode the same laboratory tests. Of 331 tests available in the LIVD files, 136 (41%) were represented by a mismatched LOINC® code by the medical centers (Chi-square 45.0,4 df,p < .0001).
Data Collection from Medical Center Laboratory Pilot Sites: Each medical center was asked to extract about 100 LOINC® Codes from their LIS for prioritized tests of interest focused on high-risk conditions and SARS-CoV-2. For each selected test (e.g., SARS-CoV-2 RNA COVID-19), we collected the following data elements: test names/descriptions (e.g., SARS corona...,
创建时间:
2023-11-29



