Total hip arthroplasties (THAs) that include patient-specific implants, guides and surgical plans have been rapidly increasing in frequency over the past decade. This increase is creating more demand from patients, and increasing pressures on clinicians and medical device companies to deliver and deploy their patient-specific products quickly and safely. In this context, anatomical data from MRI and CT scans can be used to create 3D models for 3D printed orthopedic cutting guides, implants, and pre-surgical plans. The Synopsys Simpleware group and the Corin Optimized Positioning System (OPS) group have been working together for over 10 years to develop and streamline their OPS workflow, which is designed to optimize stability, longevity, biomechanics, and patient outcomes for THAs over time. The result of this collaboration is a deeply integrated and customized solution for different stages of the OPS workflow, which has been deployed to over 20,000 patients, and has since evolved to include Machine Learning-based AI technologies. How, then, did this come together, and what does it tell us about the current state of optimizing patient-specific workflows? This blog serves to elaborate on our thought process regarding this integration.