Addressing diagnostic errors to improve outcomes and patient safety has long been a problem in the US healthcare system.¹ Many methods of reducing diagnostic error focus on individual factors and single cases, instead of focusing on the contribution of system factors or looking at diagnostic errors across a disease or clinical condition. Instead of addressing individual cases, KP sought to improve the disease diagnosis process and systems. The goal was to address the systemic root cause issues in systems that lead to diagnostic errors.

In the past several decades, technological advances have opened new possibilities for improving patient safety. Using technology to digitize healthcare processes has the potential to increase standardization and efficiency of clinical workflows and to reduce errors and cost across all healthcare settings.¹ However, if technological approaches are designed or implemented poorly, the burden on clinicians can increase. For example, overburdened clinicians can experience alert fatigue and fail to respond to notifications. This can lead to more medical errors.