EDITOR’S NOTE: This is the first in a two-part series on the coding and documenting of social determinants of health (SdoH). It comes on the heels of the aftermath of Hurricanes Harvey and Irma and their impact on victims and survivors in the flood-ravaged cities of Texas and Florida.
Hurricanes Harvey and Irma provide good illustrations of how important it is to document and code the social determinants of health (SDoH). There are multiple predictive models using demographic (U.S. Census), social, and economic data. In healthcare, data is collected either from the financial databases (for which ICD-10 data is key) or from more labor-intensive methods such as chart review and other studies.
There is unrealized potential for real-time data collection within the clinical documentation integrity (CDI) and medical coding communities. In these days and weeks ahead, coinciding with the post-disaster recovery efforts in both Texas and Florida, it is very important that healthcare professionals capture this information for several reasons. These include the following:
Now, during hurricane season and its aftermath, would be a very critical time in data capture that can help allocate healthcare resources more appropriately going forward.
Radiology reports are rich with clinical detail—abnormalities, precise anatomy, and incidental findings—but that level of detail doesn’t always translate cleanly into ICD-10 coding. In my
While we are aware that some of the reporting requirements for Social Determinants of Health (SDoH) are currently fluid, we know that those factors play
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