Big Data in the healthcare industry
Introduction
The advancement of technology has
grown so much that data has become the oil of the 21 century. The term big data
and data science is now common in all areas of lives, one such area which is
still researching on the benefit and usage of the term big data is the
healthcare industry. It is very important to consider the various scope this
term covers. Big data is general define the 3Vs which is
1.
Velocity
2.
Variety
3.
Volume
The healthcare industry generates
large amount of data from the various areas i.e. patient care records, research
and diagnostics reports and general clinical dataset. The need there for to
understand the sociotechnical impact with the healthcare industry
Scope
The
growing cost of healthcare and the amount of data generated seek to be a
concern for the healthcare professional hence the scope of the is research will
focus on answering the below concern and questions.
- When will I need big data?
- What should I do to prepare for big data?
- What’s the best way to use big data?
- What is Health Catalyst doing with big data?
Purpose
By digitizing, combining and effectively using
big data, healthcare organizations ranging from single-physician offices and
multi-provider groups to large hospital networks and accountable care
organizations stand to realize significant benefits [2]. Potential benefits include detecting diseases
at earlier stages when they can be treated more easily and effectively;
managing specific individual and population health and detecting health care fraud
more quickly and efficiently. Numerous questions can be addressed with big data
analytics. Certain developments or outcomes may be predicted and/or estimated
based on vast amounts of historical data, such as length of stay (LOS);
patients who will choose elective surgery; patients who likely will not benefit
from surgery; complications; patients at risk for medical complications;
patients at risk for sepsis, MRSA, C. difficile, or other hospital-acquired
illness; illness/disease progression; patients at risk for advancement in
disease states; causal factors of illness/disease progression; and possible
co-morbid conditions (EMC Consulting). McKinsey estimates that big data
analytics can enable more than $300 billion in savings per year in U.S.
healthcare, two thirds of that through reductions of approximately 8% in
national healthcare expenditures. Clinical operations and R & D are two of
the largest areas for potential savings with $165 billion and $108 billion in
waste respectively [24]. McKinsey believes big data could help reduce
waste and inefficiency in the following three areas:
Reference
Ph.D., Research & Predictive Analytics, Sr. Director
https://www.healthcatalyst.com/predictive-analytics-big-data-big-mess
