Collaborative Robotics, Mobile Platforms, and Total Laboratory Automation in Clinical Diagnostics.

Shuvam Mukherjee¹, Charlie Lambert², Yizhi Zhou³, Steven Kan⁴, Jianfei Yang⁵, Guochun Liao⁴, Steven Flygare⁶, Robert S Ohgami^7,8

¹Department of Computer Engineering, University of Maryland, College Park, MD 20742, USA.

²Robotics Program, College of Engineering, University of Utah, Salt Lake City, UT 84108, USA.

³Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA 22030, USA.

⁴Robotic Assistant Inc., Salt Lake City, UT 84108, USA.

⁵School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore.

⁶Fabric Genomics, Salt Lake City, UT 84108, USA.

⁷Department of Pathology, University of Utah, Salt Lake City, UT 84108, USA.

⁸Institute for Research and Innovation in Diagnostic and Precision Medicine, ARUP Laboratories, Salt Lake City, UT 84108, USA.

PubMed PMC DOI PDF

Abstract

Clinical diagnostic laboratories continue to face growing pressure from rising test volumes, increasingly complex testing menus, significant workforce shortages, and expectations for faster turnaround times at sustainable cost. Total laboratory automation (TLA) has become a central strategy for improving efficiency in high-volume laboratories, where integrated systems from Abbott, Roche, Siemens H…

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