Childbirth is the most common procedure in most countries; yet, the data surrounding pregnancy remains difficult to manage and utilize. This is partially because the episode lasts over months, crosses inpatient and outpatient settings of care and is only fully understood in the context of critical metadata and updates on the status of the pregnancy. Traditional health IT (HIT) systems provide poor user support for gathering and managing the critical data around pregnancy and struggle even further to elecronically exchange them in a structured and meaningful way. Pregnancy status has been advanced in some healthcare settings ( https://www.healthit.gov/isa/uscdi-data/pregnancy-status ) but it provides only a momentary snapshot of the binary presence or absence of the pregnancy. Some HIT products have begun to treat pregnancy as an episode of care that lasts through the pregnancy and requires a postpartum close out; this is vastly more helpful to create dashboards of pregnant patients; identify when the patient is likely to be pregnant and not; drives quality and decision support around pregnancy and is a method to automatically track and record patient outcomes around pregnancy. The goal of this project is to create a meaningful, comprehensive approach to support data for a critical health use case: pregnancy. The profile would be initially populated when the pregnancy is first identified and shared and updated over the course of the pregnancy. The end date of a newly discovered pregnancy would generally be encoded as the estimated delivery date (EDD) but after delivery would be updated to include the actual delivery date, which closes the pregnancy episode. Additional data includes the gravida and parida of the pregnancy and whether the pregnancy ends in outcomes other than delivery and when. Ideally the profile will facilitate the linkage between the pregnancy episode and the infant's record. Data about the birth encounter and other complications of pregnancy and postpartum care should be included with the profile so that, when fully implemented, the profile represents the start, content and end of the pregnancy of this specific patient. This profile will align with other existing work on pregnancy such as the public health research IG for maternal and infant health ( https://hl7.org/fhir/us/mihr/ ) and the digital quality measures related to pregnancy ( https://ecqi.healthit.gov/sites/default/files/EH-CAH-eCQM-2022-05-v3.zip : CMS1028v1, CMS334v4).