Context Assessment for a Standardized Approach to Creating a Federated Surgical Database Using Clinical Data from Electronic Health Records

This project lays the groundwork for a federated surgical database in Rwanda by assessing the feasibility of standardizing surgical data extraction from electronic health records. Building on an existing COVID-19 data infrastructure that used the OMOP Common Data Model across 15 facilities, the team will use design ethnography and stakeholder interviews to map how surgical data is currently collected and processed, and to identify barriers and facilitators to scaling that approach for surgical quality improvement. The long-term goal is a multi-institutional database that drives collaborative learning across Rwanda's surgical system, ultimately reducing the country's high perioperative complication and mortality rates.