Integrating patient-reported outcomes data into the electronic health record.

186 Background: As a national network of hospitals that specialize in the treatment of patients fighting complex or advanced-stage cancer, the network was an early adopter of using patient reported outcome (PRO) data as part of its routine patient assessment and treatment. Since 2012 an externally validated tool has been used to capture patients’ perceived symptom burden for real-time clinical intervention, from the point of first visit throughout the course of treatment, at intervals of 21 days or greater. Research has demonstrated the use of PRO data as a valuable component of a patient’s treatment plan, promoting improved quality and length of life. Methods: The use of this data across the network was expanded such that results once only accessible on paper and via electronically stored images, has now been fully integrated into the electronic health record (EHR). A multidisciplinary project team formulated the specifications for a successful integration of PRO data into the EHR. Results: The project achieved its goal and went beyond data integration to include implementation of a solution to facilitate documentation of intervention against patients’ symptoms. Provider workflow efficiency is greatly enhanced via single system access and visual notification, with critical values flagged, to focus providers’ attention on severe symptoms. Incorporation of a unified EHR flowsheet provides a paperless, one-stop symptom assessment approach and streamlined mechanism for intervention documentation. The documentation module leverages structured data fields and linkage of PRO data with interventions, such as specialist referrals or medication orders, to support enhanced patient care and quality improvement. Conclusions: The ability to easily view an array of patient reported concerns and document interventions against severe or significantly worsening symptoms provides clinicians an enhanced ability to address quality of life related needs. PRO data is now stored electronically in the enterprise warehouse, thus enabling aggregation with data from which to perform population analysis and eventually, pursue opportunities for predictive modeling.