ALPACS: Interoperable Repository of Medical Images

Mauricio Solar, Mauricio Araya, Ricardo Ñanculef, Lioubov Dombrovskaia, Victor Castañeda, Ian Roberts

Abstract: This paper presents an ingestion procedure into an interoperable repository called ALPACS (Access to Local Picture Archiving and Communication Systems). ALPACS serves clinical and hospital users who can access the repository data through an Artificial Intelligence (AI) application called PROXIMITY 1.0. This paper shows the automated procedure for data ingestion from the medical imaging provider into the ALPACS repository. The data ingestion procedure was successfully applied from the data provider (Hospital Clínico de la Universidad de Chile, HCUCH) by applying a pseudo-anonymization algorithm at the source and respecting the privacy of sensitive patient data. The transfer is done using international communication standards for health systems, allowing the replication of the procedure for other medical imaging provider institutions.