Using AI to Improve Electronic Health Records

While AI is being applied in EHR systems principally to improve data discovery and extraction and personalize treatment recommendations, it has great potential to make EHRs more user friendly. This is a critical goal, as EHRs are complicated and hard to use and are often cited as contributing to clinician burnout. Today, customizing EHRs to make them easier for clinicians is largely a manual process, and the systems’ rigidity is a real obstacle to improvement. AI, and machine learning specifically, could help EHRs continuously adapt to users’ preferences, improving both clinical outcomes and clinicians’ quality of life.

The full Harvard Business Review article can be viewed at this link.