Navigating electronic health record accuracy by examination of sex incongruent conditions
Ling Cai, Ralph J DeBerardinis, Xiaowei Zhan, Guanghua Xiao, Yang Xie · 2024
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Description
Ling Cai, Ralph J. DeBerardinis, Xiaowei Zhan, Guanghua Xiao, and Yang Xie wrote a 2024 study on how accurate electronic health records are. Their test uses health problems that occur in only one sex. When such a problem shows up in the record of a person of the other sex, the record is likely wrong in some way.
The team worked with data from the All of Us research program and found 167 health problems tied to one sex. They then measured how often these problems appeared in records of the wrong sex. The mismatch rate was low overall, at under one percent, but rose when they tried to add people whose gender did not match their sex at birth. The work gives clinics a plain way to check record quality.
Catalog record
| CREATOR | Ling Cai, Ralph J DeBerardinis, Xiaowei Zhan, Guanghua Xiao, Yang Xie |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 34 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |