Healthcare organizations are investing heavily in technologies to advance big data analytics and precision medicine.
Big Data Analytics Medicine-Health systems are increasing their investments in technology that will boost big data analytics strategies and precision medicine, but limited resources and lack of reimbursement for these tools are still significant barriers for organizations, according to a report from the Center for Connected Medicine and KLAS Research.
As healthcare continues to shift to value-based care, health systems are seeking to harness all available data to make more informed decisions and deliver more effective treatments.
“Data analytics, precision medicine, and patient engagement are highly connected to the shift from fee-for-service to value-base care. As provider organizations continue to shift their payment models and take on more risk, there is a greater need for data visibility so that organizations can manage their most at-risk populations and make better care decisions,” the report stated.
Through interviews with 70 leaders representing 65 unique health systems, researchers found that many are heavily investing in technologies that will help improve data analytics and aggregation efforts.
“Effective and comprehensive data aggregation has the potential to enable better clinical decision-making and power population health management,” report authors said.
“In order to move the needle on outcomes and cost, organizations are seeking clean, normalized data from an ever-growing number of data sources. Many believe that complete data aggregation will be an ongoing pursuit.”
On average, respondents said they are 71 percent of the way to complete integration of their clinical data. Most health systems said they use a single software platform or completely integrated EHR to integrate the majority of their data sources.
Full integration, or the aggregation of clinical data with data from financial systems and other outside sources, is progressing a little slower. On average, organizations reported 61 percent completion with full integration.
Researchers also found that the size of an organization plays a role in the advancement of integration efforts.
“Compared to their small and midsize peers, large organizations prove to be slightly more advanced in both clinical and full integration. These organizations are less likely to cite resource or funding constraints as a barrier,” the report said.