Location History:
- Collegeville, PA (US) (2022)
- Havertown, PA (US) (2024)
Company Filing History:
Years Active: 2022-2024
Title: Innovations by William McClellan
Introduction
William McClellan is an accomplished inventor based in Collegeville, PA (US). He has made significant contributions to the field of healthcare technology through his innovative patents. With a total of 2 patents, McClellan's work focuses on leveraging advanced technologies to improve healthcare delivery and patient outcomes.
Latest Patents
One of McClellan's latest patents is titled "Professional network-based identification of influential thought leaders and measurement of their influence via deep learning." This invention provides a method for identifying influential entities within a network of physicians. It generates a multi-relational network based on peer data, allowing for the analysis of influence among physicians. The decision-making process of treating physicians is decomposed using a deep learning engine, which assesses both peer influence and control factors.
Another notable patent is "Machine learning techniques for identifying opportunity patients." This system utilizes machine learning to identify patients who are likely to change their preferences for healthcare providers or services. By integrating patient data and generating specific feature vectors, the system identifies a set of opportunity patients and notifies them about potential treatment plans.
Career Highlights
William McClellan is currently employed at IQVIA Inc., a leading company in the healthcare sector. His work at IQVIA focuses on developing innovative solutions that enhance healthcare services and patient engagement.
Collaborations
Some of McClellan's coworkers include Yilian Yuan and Emily Zhao, who contribute to the collaborative environment at IQVIA. Their combined expertise fosters innovation and drives advancements in healthcare technology.
Conclusion
William McClellan's contributions to healthcare technology through his patents demonstrate his commitment to improving patient care. His innovative approaches in identifying influential thought leaders and opportunity patients highlight the potential of machine learning in healthcare.