As the field of health informatics and information management matures, students must be trained to evaluate not only the adoption rates of technologies but also the clinical, financial, and quality outcomes associated with these technologies. Big data can provide the necessary information to quantify these effects. This article provides a high-level overview of tools that faculty can use to instruct students on how big data is used to study hospital outcomes.
Expanding the reach of the traditional health informatics and information management (HIIM) program is essential in today’s academic environment. New and established academic programs are adding HIIM-type courses to meet the needs of health information technology and accreditation standards within their respective curricula.