Under coding in Obstetrics: Insights from Adoption of a Novel ICD-10 Code for Cervical Ripening

Objective: In April 2025, ICD-10-PCS code 0U7C7DJ was introduced to provide greater specificity for mechanical cervical ripening in the induction of labor. Amid efforts by the AMA and ACOG to transition obstetric reimbursement from global maternity bundles to service-level coding, the objective of this study was to review an example of code adoption, with the goal of informing future coding standardization and optimizing data accuracy under evolving reimbursement models. Study Design: This retrospective study utilized aggregated patient and procedure data from the Definitive Healthcare platform. Patients undergoing mechanical cervical ripening between January 2018 and December 2025 were identified using the historical code 0U7C7DZ and the recently introduced ICD-10 PCS codes 0U7C7DJ (active April–December 2025). Results: Over eight years, historical code 0U7C7DZ captured 6,840 cases across 3,367 providers (71.25 cases/month), whereas the new code 0U7C7DJ, in just eight months, identified 38,141 cases and 12,911 providers (4,237.89 cases/month), representing a 59.47-fold higher monthly utilization. Correspondingly, only 0.06% of all births were coded as mechanically induced using 0U7C7DZ over the study period, compared with 4.18% captured by the new code in its initial eight months. Analysis of adoption patterns demonstrated an increase of 40.6% from the first to second month followed by a plateau. Uptake of the new code was highest in inpatient hospitals, with a 76-fold increase, and lowest in ambulatory surgical centers (3.6-fold increase). Regional uptake was varied: with the Midwest showing the greatest increase in coding of mechanical dilation with the new code (9.6-fold change), and the Northeast the lowest (3.9-fold change). Conclusion: Despite markedly higher utilization of 0U7C7DJ, both codes likely vastly underrepresent the incidence of mechanical ripening given estimates in literature. The initial surge in use of the new code followed by plateau may reflect rapid adoption by a few prepared institutions without subsequent wider integration thus far. Regional variation suggests differences in institutional preparedness, coding infrastructure, and provider education. These data serve as a call to action for institutions given the upcoming 2027 coding changes to ensure timely uptake and accurate reporting.