About Dr. Ravish Patwardhan On Data Analytics…
Author Dr. Ravish Patwardhan on Aspects of Data Analytics
Ravish Patwardhan examines a world that has gained particular power in the recent decade, with the advent of technology being able to not only capture, but also facilitate analysis of large amounts of data. Whether related to healthcare (patient databases with millions of entries, e.g. the hospital inpatient systems), science (DNA sequence trackers), personal web use-directed (e.g. Facebook), financial (business metrics), or other, data analytics are likely to become more than less popular.
Patwardhan discusses the main reasons for this explosion in data – the developments in technology, the decision to collect this data, to use it meaningfully, and consider it not only for the “task at hand” but also to allow other companies/interested parties access (e.g. sell or barter).
Patwardhan also considers recent controversies, e.g. those involving Facebook, its recent acquisition Instagram, and the decisions based upon “normal use” of this data.
The controversy, Patwardhan contends, is not necessary a “complete opposition” – for example, an analytics-based advertisement for a desirable product may actually be welcomed by the user in comparison to an unrelated annoying advertisement; on the other hand, the issue of privacy may be considered compromising.
The data fields-related experience with which Ravish Patwardhan has previously dealt includes large inpatient databases, used to extract data on patient demographics based upon specific diagnoses, co-morbidities, and costs of admissions. This, in turn, can be utilized to allocate resources. At the American Association of Neurological Surgeons national meeting, Dr. Ravish Patwardhan was awarded the Cone Pevehouse award for “intracerebral hemorrhage-related demographics,” where he used a version of the program SAS to analyze an inpatient database.
Such responsive databases, as they become fine-tuned, may well “anticipate” the next move. Feeding forward from Google searches being recorded, some have likened such searches as projecting “what’s on one’s mind.”
The widening world of data and data analytics may have its greatest potential in connecting areas which have not been as intuitive in the past to connect. This connectivity, and other characterizations of data analysis as detailed by Patwardhan, consider three aspects of each topic: history, present, and future. While the ‘past” of data analytics may appear to be limited, this is actually not the case if the pre-computer data analytic case is considered, as Patwardhan notes as relevant.