Validation of pregnancy date estimation from outpatient electronic health record data
Kristin Lyon-Scott, Jenine Dankovchik, Jenna Donovan, Jennifer Hauschildt, Kimberly K Vesco, Janne Boone-Heinonen, Teresa Schmidt · 2026
Read Validation of pregnancy date estimation from outpatient electronic health record data by Kristin Lyon-Scott, Jenine Dankovchik, Jenna Donovan, Jennifer Hauschildt, Kimberly K Vesco, Janne Boone-Heinonen, Teresa Schmidt (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13271236.txt.
Description
Kristin Lyon-Scott is lead author of a 2026 validation study on estimating pregnancy dates from outpatient electronic health records. Such records can support large studies of mothers' health. But many clinics lack clean fields for when a pregnancy began and ended. So dates must be inferred from visits, diagnoses, and linked records.
The team checked estimates for 47,515 pregnancies delivered in Oregon and California against state birth certificates. Using all available record fields, estimated start dates differed by an average of 3.7 days and end dates by 0.2 days. Pregnancy episode records and linked child birth dates gave the best estimates, while diagnosis and procedure codes alone were far weaker.
Catalog record
| CREATOR | Kristin Lyon-Scott, Jenine Dankovchik, Jenna Donovan, Jennifer Hauschildt, Kimberly K Vesco, Janne Boone-Heinonen, Teresa Schmidt |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 46167 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |