Clinical laboratories generate a large amount of data from healthy and sick persons. Clinical Laboratory-generated is valuable as it is integrated into the physician's decision-making processes for disease diagnosis, prognosis, and developing a clinical management plan for the patient. Organizations are assessing the clinical utility of clinical laboratory-generated data to develop clinical algorithms for patient care, risk prediction modeling, and real-time care alerts. Studies are demonstrating that the clinical laboratory is also valuable in biomarker discovery and precision medicine. Historically, precision medicine has relied on assessing data from large-scale human biorepositories linked to annotated clinical data. These traditional biorepositories can be costly requiring staff to enroll patients and may be limited in sample diversity (race/ethnicity, age, gender, geography, medication usage) because enrollment is contingent on staff availability or rare clinical cases are missed due to manual enrollment. Using sepsis as a case study, the presentation will highlight the value of laboratory medicine in designing and supporting clinical trials and the feasibility of clinical laboratories collaborating across medical and research disciplines to embed scalable, virtually enabled biorepositories within the electronic health record.