Research@CATS - Healthcare


How analytics and information technologies impact and transform healthcare.

Information technology has the potential to transform the conduct of business and lead to new business goals and strategies.

Example areas include operational efficiency, data analytics, and better intra-system coordination. In domains such as health care, IT has the potential to transform the entire industry, especially by incorporating platform business architectures and newer technologies (e.g., mobile apps, advanced features in EMR, electronic communication between patients and providers etc.).

Large amounts of medical data create opportunities for new products and markets based on creating new data products and analytics-based services.

It is also important to measure the actual impact of IT (on multiple dimensions, e.g., patient satisfaction, wellness, readmission rates, physician productivity, revenue, utilization etc.) because benefits can be highly diffused and complex.

Price Transparency and Shopping Decision Aids


We are at the edge of an imminent massive transformation in an industry sector that accounts for about 20% of spending today, namely health care. This transformation will occur on account of emerging technologies for price transparency which will give decision-making stakeholders (e.g., patients and their advising physicians) timely access to accurate and personalized information about costs of care. Price transparency technologies are (and will be) as revolutionary in health care as Google and Amazon have been to shopping in general. While these technologies are motivated by the pressing need to reduce health care spending through price competition and reduction in market prices, these effects are by no means guaranteed.

Electronic Medical Records and Physician Productivity: Evidence from Panel Data Analysis


Physician productivity is an important driver of key healthcare outcomes, such as quality of care, treatment costs and patient satisfaction, because physicians influence a vast majority of treatment decisions, and are central to the care delivery process. Thus, it is critical for researchers to understand how transformation technologies, such as electronic medical records (EMRs) impact physician productivity.