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Automated system could efficiently identify high-risk osteoporosis patients

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An automated system that identifies high-risk osteoporosis patients being treated for fractures and can generate letters encouraging follow-up is an effective way to promote osteoporosis intervention and prevent future fractures, according to Penn State College of Medicine researchers.

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