Utilizing Electronic Clinical Decision Support to Enhance mTBI Care at the Primary Care Point of Entry

Six primary care practices within a large Philadelphia pediatric care network will use an electronic Clinical Decision Support (eCDS) tool as standard care for concussion evaluation. The eCDS tool will include a prediction rule for children aged 5-18 assessed for mild traumatic brain injury (mTBI). The eCDS tool predicts risk for persistent symptoms and prompts referral to specialty care for those deemed high risk. This research proposes to analyze the clinical and process outcomes in these six practices relative to the rest of the care network, specifically, whether the eCDS tool reduces time to symptom resolution.