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This research aims to adapt a decision support tool that integrates clinical risk information with patient preferences. The goal of this work is to support patients in making informed breast reconstruction decisions together with their clinicians.
The investigators used a mixed-methods approach to incorporate quantitative and qualitative research in developing and validating a health IT adaptation survey.
Examined automation of the continuity of care record for use in patient referrals, hospital admission, and hospital discharge; e-prescribing in physician practices, hospital discharge medications, and long-term care facilities with links to community pharmacies; and disease registries for managing preventive care interventions and chronic diseases.