The healthcare data visualization challenge
The healthcare industry is inherently complicated.
It involves a lot of people, stakeholders, processes and procedures. It’s tightly regulated and deals with the highest possible stakes: peoples’ health and well-being.
Increasingly, healthcare providers are turning to graph technology and data visualization to understand the complex networks of data at their disposal. Powerful healthcare data visualization tools transform that complex data into valuable, useful insight.
Healthcare data visualization: fraud detection
Billions of dollars are lost every year to healthcare fraud. According to the US Government Accountability Office, 74% of the $1.3 trillion lost to improper payments since 2003 was lost through healthcare-related programs.
Detecting fraud in programs as vast as Medicare and Medicaid might seem like an impossible task. Incorporating graph visualization into fraud detection tools, it’s possible to spot patterns and anomalies, and uncover incidences of fraud.
To detect healthcare fraud, you need to see connections. Between patients, providers, clinicians, insurance policies and claims. Graph visualization makes it easy to see those connections, so we can recognise normal patterns and anomalies that might indicate fraud.
Healthcare data visualization: regulatory compliance
Healthcare is one of the most tightly-regulated industries. Ranging from data protection to HIPAA compliance, from anti-bribery rules to regulations controlling the prescription of opioids. Healthcare organizations and providers need effective processes and total visibility of their data to maintain a robust compliance regime, while still delivering the the best possible care.
Graph visualization is the ideal tool for managing regulatory compliance. This example of trust-hub’s privacy data compliance platform examines an organization’s data assets, and the people, processes, systems and places associated with them.
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