Validation of the Medicare-Enhanced Laboratory and Demographics (MELD™) Dataset: A Comprehensive Psychometric, Epidemiologic, and Predictive-Utility Assessment of a 60-Million-Patient Real-World Evidence Resource
Onur Baser · 2026
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Description
Onur Baser wrote a 2026 validation study of MELD, a large health data set that joins Medicare claims with medical records, lab results, and patient surveys. The data cover 2020 to 2024 and hold about 60 million patients. Before such data can guide strong claims, its quality must be checked.
Baser used records from more than 32 million patients with at least a year of Medicare cover. Checks showed high inner consistency, and illness rates matched official counts with a mean error of 3.1 percent. Record linking matched 94.7 percent of cases. The data also predicted death and return to hospital fairly well. The author judges the set sound for real-world studies.
Catalog record
| CREATOR | Onur Baser |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 53547 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |