Healthcare data visualization

Healthcare data visualization: knowledge graphs

Modern healthcare generates a lot of data. Patient records, admissions data, electronic health records, billing data, insurance policies and claims: every interaction leaves a complex digital footprint.

These footprints are often scattered between systems, limiting the ability to understand the full picture and make the best decisions. Using graph visualization tools, it’s possible to collate all of this data into a single unified view, allowing systems users – clinicians, data analysts or non-specialist staff – to piece everything together and get a complete overview of the patient’s situation.

These tools – often called customer 360 or patient 360 – are powerful knowledge graphs that answer many different questions.

• What is this patient’s medical history? What is their next best treatment?
• Have other patients suffered these symptoms before? What were their diagnoses, prognoses and treatments?
• Which institutions and clinicians have spare capacity?
• Which clinicians have the most complaints? Who is complaining, and about what?

Interactive graph visualization allows users to query, explore and understand complex data, creating insightful and intuitive knowledge graphs.

Pulling data from multiple siloed systems, knowledge graphs give a single, unified view of a situation, allowing them to make better decisions, faster.

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.

In healthcare fraud detection, 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.

Custom healthcare data visualization

We work with healthcare-related businesses worldwide, helping them to make sense of big data.

Using our graph visualization and timeline visualization technologies, they build interactive applications that join the dots and reveal the insight they need to understand.

Overcome data silos

Interact with data from across the healthcare environment. Our products’ flexible approach overcome silos and gain insight from multiple sources, giving you a clearer, more complete picture.

Visual tools that scale

Our toolkits support data visualization at scale. Whether you’ve got a large and distributed team, or huge volumes of data to analyze, we’ve designed our products to scale-up to the size or any organization and operation.

Get answers faster

Discover more intuitive ways to understand your healthcare data. Timeline and graph visualization tools reveal insight more effectively than other automated or manual processes, leading to faster and better decisions.

Manage confidential data

Our toolkits are trusted by government agencies, police forces and healthcare organizations around the world. They sit inside your firewall, don’t track users, never call home and can be easily SSL encrypted.