Predictive analytics provide major benefits to healthcare providers, helping staff more effectively treat patients and reduce the labor and resources needed to resolve each patient's problems. The benefits of analytics are many, but the idea of more efficient care is especially attractive because of the positive effect it has on all major areas of operation. Staff can more accurately diagnose and treat patients, which also means they can interact with more individuals during the course of their shifts.
The potential for both a higher volume of care and more accuracy in each interaction are two major factors driving healthcare providers to use business intelligence software like IBM Cognos solutions.
"One consistent issue for healthcare providers across the country is demographic and individual risk factors."
Understanding lifestyle habits and risks
One consistent issue for healthcare providers across the country is demographic and individual risk factors, like higher-than-average consumption of junk food or tobacco in certain areas. The IBM Big Data & Analytics Hub highlighted a lifestyle habits project in the Carolinas undertaken by Carolinas HealthCare System, which has approximately 900 care centers across those two states.
The IBM report drew on information originally reported by Bloomberg, which highlighted how CHS is using transactional data from credit card transactions and other sources to predict future issues and engage in preventative measures. The approach used by CHS includes both individual-level data, like purchasing cigarettes, and information about the areas in which patients live, like pollen count. That information is then used, for example, to assess the risk of a patient with asthma who aligns with both of those factors having to make a visit to the emergency room in the near future. The predictive models inform doctors about potential issues before they happen, but the system also takes patient privacy issues into account. While doctors are apprised of the results of the analytical efforts, they aren't told of the individual data points – a concession to the need for patient privacy.
Aviana offers healthcare providers interested in predictive analytics a high level of experience inside the industry. Our track record contains a number of successful projects, including efforts focused on care and administrative concerns. To learn more about our work with big data and predictive analytics in the healthcare industry, visit our dedicated, on-demand industry solution video series page. You can view videos on topics ranging from predicting admissions to risk mitigation and learn how our solutions help providers transform operations.