The potential of data stored in EHRs, EMRs, patient portals, genetic databases, mobile apps, and other health-related sources has been untapped for too long. But now, big data technology makes it easier for healthcare organizations to gather and analyze that valuable health data while fighting fraud, improving care, and reducing costs, among other goals. Read on to learn how big data is changing the healthcare landscape.
Fraud Prevention and Identification
Fraud, waste, and abuse are one of the major causes of inefficiency in the global health system. In the U.S. alone, tens of billions of dollars are lost due to the healthcare fraud each year. Some cases are the consequences of unintentional errors caused by the complexity of the billing and reimbursement system that healthcare providers have to deal with. Others result from increasingly sophisticated fraud schemes powered by technology.
Insurers and federal agencies have been exploring different avenues to identify and prevent these cases for years, but they haven’t found an optimal solution yet. However, with big data analytics, gleaning insights from disparate sources like claims and social media posts can turn into more low-hanging fruit. For instance, Illinois has saved $22 million by using data analytics to reduce healthcare fraud.
Population Health Management
Big data analytics has started to play a prominent role in diagnostics. In the clinical imaging space, it is used to diagnose neurological diseases, pneumothoraces, detect extraluminal air in the abdomen and renal stones, and more. Evidence-based diagnosis is another application of big data that brings closer the way to detect diseases, disorders, and conditions that are otherwise hard to diagnose.