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Unique decision-tree format provides rapid decision-making tool covering a wide range of musculoskeletal injuries
Few if any medical fields share the complexity of injuries and the number of available treatments that exist in orthopaedic trauma. Deciding on the most efficacious treatment can often be difficult. In this digital age with a tsunami of medical information and conflicting data on numerous approaches, practitioners who treat orthopaedic trauma often find it problematic to make "evidence-based" choices.
Decision Making in Orthopaedic Trauma is the largest compendium of orthopaedic trauma algorithms assembled to date. The decision trees cover a broad spectrum of cases - from simple isolated fractures - to severe, life-threatening conditions. The decisions on which action to perform in each situation are largely based on the personal experiences of the individual authors, all members of the University of California, San Francisco (UCSF) / Zuckerberg San Francisco General (ZSFG) Orthopaedic Trauma Institute. When the decisions are supported by published scientific literature, the relevant publications are cited.
Visually appealing, easy-to-comprehend decision trees detail underlying pathologies, suspected diagnoses, required imaging studies, possible treatment approaches, rehabilitation, expected outcomes, and postsurgical care. The format is more conducive to swiftly acquiring knowledge and making informed decisions than traditional texts and websites.
Yashika
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