This inventor holds 1 USPTO granted patent and 8 published patent applications. Top assignee: Koninklijke Philips Corporation N.v.. Active years: 2024.
Company Filing History:
Years Active: 2024
Title: Ushanandini Raghavan: Innovator in Hospital Quality Improvement
Introduction
Ushanandini Raghavan is an accomplished inventor based in Lexington, MA (US). He has made significant contributions to the field of healthcare through his innovative patent focused on improving hospital quality measures. His work aims to enhance patient outcomes by utilizing advanced analytical techniques.
Latest Patents
Ushanandini holds a patent titled "Automated controlled-case studies and root-cause analysis for hospital quality improvement." This invention provides a risk-adjusted assessment of a target facility's quality measures, such as mortality rates, length of stay, readmission rates, and complications rates. The patent outlines a method for identifying patient cohorts corresponding to specific ailments or treatments. It determines the target facility's risk-adjusted quality measures for each cohort and identifies relevant factors affecting patient outcomes. By comparing the care processes of target patients with those of a control group exhibiting better outcomes, Ushanandini's invention aims to identify potential root causes of poorer performance.
Career Highlights
Ushanandini Raghavan is currently employed at Koninklijke Philips Corporation N.V., where he continues to apply his expertise in healthcare innovation. His work at Philips focuses on leveraging technology to improve patient care and hospital efficiency.
Collaborations
Ushanandini collaborates with his coworker, Daniel Robert Elgort, to further advance their projects in healthcare innovation. Their combined efforts aim to drive improvements in hospital quality and patient outcomes.
Conclusion
Ushanandini Raghavan is a notable inventor whose work in hospital quality improvement has the potential to transform patient care. His innovative patent reflects a commitment to enhancing healthcare through data-driven analysis and collaboration.
