Advancing Healthcare Together
UR Health Lab’s Commitment to Collaboration and Innovation
Healthcare is ever-changing and, at the UR Health Lab, we embrace this dynamism. We're dedicated to continuous innovation for the betterment of all — patients, clinicians, educators, and our community to top it all.
Watch the video below and hear from UR Health Lab leadership to learn more about how we look at the root causes of challenges faced in healthcare and how technology might be used to alleviate some of those problems.
About Us
The UR Health Lab fosters collaboration between clinicians, data analysts, engineers, and business professionals. Together, we integrate machine learning, VR, 3D imaging, and wearable sensors to drive precision medicine.
Projects
Empowered by tech and fueled by a passion for innovation, our initiatives are born from individuals who identify potential within the healthcare setting. Healthcare improvement is at the heart of everything we do.
Partners
Partnership forms the cornerstone of our approach. Whether the UR Health Lab engages with large health systems or incorporates technology from emerging startups, collaboration remains the unifying factor across all our endeavors.
UR Health Lab Structure
The collaborative force driving UR Health Lab is undeniably holistic, embodying a shared commitment to transformative healthcare and community well-being. Organized into three dynamic branches, each team within the lab plays a pivotal role in harnessing the power of data and technology to propel advancements in healthcare. These branches seamlessly integrate their expertise with a comprehensive understanding of holistic well-being. Together, they form a synergistic unit, dedicated to pioneering the next frontier of healthcare.
UR Health Lab by the Numbers
From breakthrough innovations to community outreach, explore the lab's 8-year history told by the numbers.
44
Learners in 2023
32
Projects
45
Collaborators
11
Partners
Faculty Feature: Conrad Gleber
Conrad Gleber is an Assistant Professor of Medicine and the Associate Chief Medical Informatics Officer for Data & Analytics at URMC. He has a special interest in quality improvement, health systems management and healthcare delivery. He strives to utilize health informatics and data analytics to improve healthcare delivery.
"Within the Health Lab, I'm working to develop workflows that directly integrate large language machine learning models to improve operational goals of the health system. The main target revolves around natural language processing (NLP). Two examples are text classification of messages received by clinicians via an EHR chat system and ambient note documentation of physician-patient conversations."
Conrad Gleber, MD, MBA
Affiliated Faculty, UR Health Lab