# JAT Chat | Prediction of Clinical Recovery from Concussion (Video)

Page: https://stenobird.com/podcast/jat-podcasts-12872/jat-chat-prediction-of-clinical-recovery-from-concussion-video
Text version: https://stenobird.com/podcast/jat-podcasts-12872/jat-chat-prediction-of-clinical-recovery-from-concussion-video.md
Podcast: [JAT Podcasts](https://stenobird.com/podcast/jat-podcasts-12872)
Published: 2026-04-29T09:00:00+00:00
Episode link: https://JATCast.podbean.com/e/enhanced-slam-validates-concussion-recovery-formula-real-time-data-from-collegiate-athletes/
Audio file: https://mcdn.podbean.com/mf/web/8akrw4tquwpe6zn6/Resch_JAT_Chat_1_9brz5-ymxf7j-Optimized.mp4
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JSON: https://stenobird.com/v1/public/podcasts/jat-podcasts-12872/episodes/jat-chat-prediction-of-clinical-recovery-from-concussion-video
Duration seconds: 1764

## Resource

Welcome to JAT Chat, presented by the Journal of Athletic Training, the official journal of the National Athletic Trainers' Association. In this episode, co-host Dr. Tom Campbell speaks with Dr. Jacob Resch and Dr. John MacKnight (University of Virginia) about the recent publication, "Leveraging the Enhanced Sports as a Laboratory Assessment Model to Cross-Validate a Formula Used to Predict Clinical Recovery From Concussion in Collegiate Athletes". This episode discusses a study that cross-validates a previously published prognostic formula for concussion recovery using the Enhanced SLAM point-of-care data model in collegiate athletes. Key predictors included total symptom severity and the 24-hour duration of drowsiness, neck pain, nervousness, and tingling; the findings emphasize clinical relevance, clinician–researcher collaboration, and using the formula as an adjunct to—not a replacement for—clinical judgment. Article: https://doi.org/10.4085/1062-6050-0663.24

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