Sustainable IT Budgeting: A Method to Determine Not to Exceed Values for Annual Infrastructure Purchases

Abstract

Picture-archiving and communication systems are complex entities, but at core they consist of compute processors that are networked together to store and retrieve objects. Therein lay fundamental aspects of both performance benchmarking and predicting future costs, provided one can accurately predict trends in both exam volumes and sizes. Hence, determining the correct amount of capital to reserve annually for the information technology infrastructure can be a difficult process for the administrator of a medical center. Both exam volumes and sizes tend to increase over time. In addition, users demand more compute-intensive applications and expect exam delivery to the desktop to be ever timelier despite the increase in size. Against this, storage, compute, and networking costs tend to decrease over time for the same performance level. At the end of the day, the question of whether to budget more or less capital for next year's infrastructure is not trivial. This paper develops a methodology that uses current baseline data to predict the "ampleness" of a budget to meet future needs.