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Archived App
This is an archived listing of the app previously available on the App Store.This medical app provides comprehensive information on shoulder pathology for healthcare professionals and patients. It includes detailed anatomy, injury treatments, diagnostic tests, and rehabilitation protocols. Patients can access practical guides and communicate directly with the developer.
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November 8, 2022
Corrección de errores menores. Enlace a Bibliografía de la app.
Hombro is a medical application developed by Dr. Alberto Sánchez, a traumatologist specializing in shoulder arthroscopy. It serves as a reference tool for healthcare professionals and educates patients about shoulder pathologies.
Hombro is designed for patients, medical students (medicine, nursing, physiotherapy), general practitioners, and specialists in Traumatology, Rehabilitation, and Rheumatology, including those specializing in shoulder arthroscopy and surgery.
Hombro offers comprehensive information on shoulder pathology, including anatomy, various injuries with treatment details, diagnostic tests (with MRI visualization), pharmacological treatments, post-operative care, rehabilitation protocols, and commonly used questionnaires.
Yes, Hombro includes practical guides for patients on common pathologies, treatments, and rehabilitation exercises with illustrative drawings. Patients can also contact Dr. Sánchez directly through the app for consultations.
Hombro includes utility tools such as a note-taking feature (text and voice), a drawing tool for patient explanations, a simplified shoulder examination form, and a template for measuring bone loss in Bankart and Hill Sachs lesions.
Yes, Hombro has been tested on all iPad models, and the drawings and images maintain their quality. iPad users can download and use the application.
Hombro has won the 1st Innoba Awards for Management and Healthcare Quality in osteoarthritis and was a winning project in the 'Best Practices 2.0' contest organized by Sanofi campus.
Hombro has a rating of 1.0 stars based on 1 rating. This indicates a very low user satisfaction based on the available data.