A tremendous amount of data is generated and stored in US hospitals, including data captured in the EHR/EMR and various diagnostic devices, systems, and other sources. As devices evolve, the volume and granularity of data increases. Researchers, clinicians, and hospital leaders are investigating ways to harness this data in order to improve patient outcomes. While this data is increasingly available, accessing it, associating distinct data points across software platforms, and analyzing it to identify specific outcomes is not an easy task. Our novel retrospective study included data from Point-of-Care (POC) device and middleware, and associated core lab and EHR patient data. Our analyses revealed the incidence and root cause of errors in POC testing, materials waste, and the subsequent impact of errors on patient management and care. This study demonstrates that reliance on single data sources or device generated reports may not adequately identify opportunities to improve patient outcomes.