Abhikesh Nag

Title: Abhikesh Nag: Innovator in Anomalous Behavior Detection

Introduction

Abhikesh Nag is a prominent inventor based in San Diego, CA. He holds a total of 8 patents that focus on innovative methods for detecting anomalous behavior in clinical settings. His work has significant implications for improving patient safety and enhancing the efficiency of healthcare systems.

Latest Patents

One of his latest patents is titled "Peer Community Based Anomalous Behavior Detection." This invention involves a peer network that includes nodes corresponding to different clinicians. An edge interconnects these nodes based on shared attributes, such as treating the same patients or interacting with the same medical devices. A machine-learning model is applied to identify peer communities of clinicians, allowing for the comparison of activity patterns to detect any anomalous behavior. If a clinician is found to exhibit such behavior, an investigative workflow is triggered, which may include generating alerts, activating surveillance devices, and isolating accessed medication.

Another significant patent is "Rare Instance Analytics for Diversion Detection." This method identifies infrequent activity patterns associated with clinicians that occur below a certain threshold frequency. By determining whether these patterns correspond to anomalous behavior using data models, an investigative workflow can be initiated in response to the identified behavior.

Career Highlights

Abhikesh has worked with notable companies such as CareFusion 303, Inc. and Opera Solutions USA, LLC. His experience in these organizations has contributed to his expertise in developing innovative solutions for healthcare challenges.

Collaborations

Throughout his career, Abhikesh has collaborated with talented individuals, including Cynthia Yamaga and Qi Zhao. These partnerships have fostered a creative environment that has led to the development of impactful inventions.

Conclusion

Abhikesh Nag is a distinguished inventor whose contributions to the field of anomalous behavior detection are noteworthy. His innovative patents and collaborative efforts continue to shape the future of healthcare technology.