Healthcare data visualization

Using graph and timeline visualization to improve healthcare

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.

Data visualization, especially graph visualization and timeline visualization, helps healthcare providers and professionals to join the dots in data.

Let’s see how it helps them improve services, drive efficiencies and deliver better patient outcomes.

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.

healthcare data visualization: custom 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: unified patient analytics

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: detecting healthcare 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.

Healthcare data visualization:data privacy regulatory compliance

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 with healthcare data visualization

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.

scaleable healthcare data visualization

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.



fast healthcare data visualization

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.

secure healthcare data visualization

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.

Want to try it for yourself?

KeyLines

Graph visualization for JavaScript developers

Code how you like and build link analysis apps that work with any stack.

Start a KeyLines trial


ReGraph

Graph visualization for React developers

Use a simple data-driven API to build customized graph visualization apps in React.

Start a ReGraph trial


KronoGraph

Timeline visualization for JavaScript or React developers

Design interactive timelines to explore patterns and unfolding events.

Start a KronoGraph trial


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