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The Development of a Natural Language Generation System for Personalized e-Health Information

Personalization-adaptivity to the individual-is becoming an essential component of any computer-based system. In e-health systems, personalization of health information is emerging as a key factor in the trend to patient-centric care. Patient-centric healthcare aims to engage patients in their treatment to promote greater compliance and satisfaction with their therapeutic regimens, resulting in both better patient outcomes and reduced healthcare costs. We have developed a prototype Web-based Natural Language Generation system for the authoring and subsequent personalization of patient education materials. Our initial domain of application is reconstructive breast surgery, but our Natural Language software tools and authoring methodologies are generally applicable to all medical interventions.