Forecasting patient empowered health information technologies

The growth and implementation of electronic health records (EHR) are progressing in many countries. Though adoption within Healthcare often lacks momentum amidst privacy and security concerns. This paper uses an interrupted time series (ITS) analysis of OECD data related to EHRs from many countries to make predictions about EHR adoption. The ITS model can be used to explore the impact of various health information technologies on adoption. Assumptions about the impact of Information Accountability are entered into the model to generate projections if information accountability technologies are developed. In this way, the OECD data and ITS analysis can be used to perform simulations for improving EHR adoption to ultimately reduce healthcare costs, while improving healthcare services and the management of healthcare records.