AI-Enabled CDSS Predicts Personalized Surgical Blood Orders
In 2026, researchers at Asan Medical Center conducted a preimplementation qualitative study of pMSBOS-TS, an AI-enabled CDSS for personalized thoracic surgical blood ordering, using two semistructured focus groups with 14 multidisciplinary clinicians. Analysis identified 189 semantic units and 61 core ideas across seven domains, finding potential to reduce unwarranted ordering variation if algorithmic performance and tight EHR integration are ensured. Results highlight sociotechnical readiness, governance, and workflow fit as implementation determinants.
Scoring Rationale
Peer-reviewed, practice-focused sociotechnical insights support implementation planning; limited single-center qualitative design constrains generalizability and scalability to other settings.
Practice with real Health & Insurance data
90 SQL & Python problems · 15 industry datasets
250 free problems · No credit card
See all Health & Insurance problems
