Health Informatics

Linking health records is key to innovation in health care. At the same time linkage poses major challenges for disclosing patient data to researchers. The presentation proposes a methodology for structuring risk assessment of high-dimensional linked data.

Target Information Architecture (TIA) is an graphical rendering of answers to a series of linked questions relating to analytic products from data to support the functions performed by persons, providers or programs within a health system. We argue that a developed TIA is a necessary condition to guide the translation of health service analytics back into a health service system.