We are conducting a project to deploy Natural Language Processing to analyze clinicians' progress notes from Electronic Health Records and identify healthcare-related features that determine Failure To Rescue (Death after a major complication) among cardiac surgery patients.
Another project that I would like to highlight is the project where we assessed the relationship between intraoperative surgeons' non-technical skills (situation awareness, decision-making, leadership, communication, and teamwork) and patient outcomes. During this project, we observed surgeons and used validated tools to measure their non-technical skills. We thereafter calculated the relationship between surgeons' non-technical skills and risk-adjusted complications. We found that higher surgeons' non-technical skills scores were associated with decreased mortality risk and reoperation. Our next steps include using ML/AI to develop objective measures to assess surgeons' non-technical skills from intraoperative audio and video recordings.
I would like to contribute to the field of implementation science by deploying ML/AI to identify critical features determinants of successful implementation of evidence-based interventions to improve the quality of patient care.