Joint Replacement

The goal of this observational study is to develop and pre-validate a machine learning algorithm to predict early recovery of mobility in patients undergoing hip or knee joint replacement surgery. The primary research question is: Can a machine learning model accurately classify patients with faster versus slower recovery of autonomous mobility in the first days after joint replacement surgery? Patients who have undergone elective hip or knee arthroplasty and received post-operative physiotherapy will have their clinical and perioperative data collected retrospectively (2020-2023) and prospectively (March 2026-December 2027). The algorithm will be trained on retrospective data and tested prospectively to evaluate its predictive performance for early mobilization and length of hospital stay.

The restor3d Outcomes Registry is a prospective, longitudinal, decentralized study designed to capture patient-reported outcomes (PROs) from adults who have received an FDA-cleared or approved restor3d patient-specific orthopedic implant. Using a master protocol framework, the study enrolls patients across multiple joint cohorts (knee, hip, foot \& ankle, shoulder) under a single protocol, with joint-specific details governed by individual appendices. Participants self-enroll and complete electronic PRO surveys (ePROs) before surgery and at 6 weeks, 3 months, 6 months, and annually through 5 years post-operatively, all remotely, with no required in-person visits. The study aims to quantify changes in pain, function, quality of life, and satisfaction over time, and to establish real-world outcome benchmarks for patient-specific orthopedic implants.

The aim of this study is to evaluate, in routine clinical practice, the inter- and intra-observer reliability of the Iowa Level of Assistance (ILoA) scale, which is regularly used to assess functional recovery in orthopedic patients. A secondary objective is to investigate the impact of a structured retraining program for healthcare staff on the use of the ILoA scale and to determine whether this intervention influences the reliability indices of the scale.

The purpose of this research study is to develop a database of information regarding the diagnosis, treatment, and outcome of participants who have had a joint replacement. The more information gathered, the better the investigators will be able to treat future patients who need a joint replacement. For example the investigators learn what works well to help design implants and treatment protocols for the future. The investigators publish manuscripts and present research findings around the world to help other investigators and clinicians learn what is discovered. Furthermore, implant manufacturers may be able to use this information in the database to evaluate the success rates of specific joint replacement products.