There's no question that in all its iterations, health care is a rapidly changing field. As new challenges rise to the forefront of the industry, it is necessary that new solutions be developed and implemented so that those issues can be successfully addressed. Software programs that allow business intelligence to be properly categorized, analyzed and used as the foundation of improved operational decisions are quite prominent in the medical field.
A recent study, the 2013 U.S. Clinical & Business Intelligence Study conducted by HIMSS Analytics, provides concrete evidence of this conclusion. Additionally, numerous expert commentators have pointed out the many purposes for these solutions. It'll be important for hospital administrators to review the facts before making a decision to implement the appropriate solution.
HIMSS study results
The Healthcare Information and Management Systems Society (HIMSS) addresses the major trends affecting the administrative aspects of the health care industry. For this year's installment, researchers found that while implementation of BI and analytics solutions among hospitals hadn't yet reached a point of full market dominance, it was certainly coming close to that point.
Based on survey responses from more than 500 different hospitals, the study concluded that as of 2013, 46 percent of hospitals had chosen to adopt BI and analytics software. Additionally, among those respondents, more than half of them had chosen to use them in direct conjunction with their HIS and EMR platforms.
Brendan Fitzgerald, analytics research director for HIMSS, summed up the study as such: "Our findings indicate that the current focus in the marketplace is on managing, extracting and analyzing data via embedded tools within organizations' HIS/EMR solutions."
Going over the varied applications
It might be assumed – by smaller hospitals and healthcare organizations – that the proper use of big data and analytics is solely the province of major organizations in the field. However, this does not have to be the case. Additionally, the examples of how data and analytics have helped hospitals are too notable to ignore.
According to EHR Intelligence, in April the American Society of Clinical Oncology implemented such a solution, and it allowed the organization to conduct detailed research into the case histories of cancer patients. This aggregation of data can greatly inform the treatment of new admissions.
A separate report by the source also pointed out that hospital BI, when properly categorized, could help reduce re-admissions by separating patient groups according to risk, saving time and money for all parties involved.