This inventor holds 1 USPTO granted patent. Top assignee: Rad Ai, Inc.. Active years: 2024.
Company Filing History:
Years Active: 2024
Title: Innovations by Matthew Long in Radiological Workflow Management
Introduction
Matthew Long is an accomplished inventor based in Colleyville, TX (US). He has made significant contributions to the field of medical imaging and workflow management. His innovative approach aims to enhance the efficiency of radiological processes, ultimately improving patient care.
Latest Patents
Matthew Long holds a patent for a "System and method for workflow management and image review." This invention optimizes radiological workflow management and medical image review. The system is designed to be interoperable with various Radiology Information Systems (RIS) and Picture Archiving and Communication Systems (PACS). It provides efficient access to information and features a dynamic prioritized worklist that adapts to optimize the distribution of studies and timely reviews. The system facilitates automated assignment and communication among physicians, technicians, and radiologists regarding orders, radiographs, reports, and studies. It analyzes exam data, urgency, and pendency times to automatically determine an overall priority for each case. This results in cases being assigned for review in the most efficient time, leading to optimal turnaround times and improved patient care.
Career Highlights
Matthew Long is currently associated with Rad Ai, Inc., where he continues to develop innovative solutions in the medical imaging sector. His work focuses on enhancing workflow efficiency and improving the quality of patient care through technology.
Collaborations
Matthew collaborates with talented professionals in his field, including Rishi Seth and Michael Emory. Their combined expertise contributes to the advancement of innovative solutions in radiology.
Conclusion
Matthew Long's contributions to radiological workflow management exemplify the impact of innovation in healthcare. His patented system not only streamlines processes but also enhances patient outcomes. His work at Rad Ai, Inc. continues to push the boundaries of medical imaging technology.