ebook

Next-Gen Healthcare Data Management

Improve patient outcomes, engage providers, and reduce costs to deliver better healthcare with patient and provider data mastering.

We’re committed to your privacy. Tamr uses the information you provide to contact you about our relevant content, products, and services. For more information, read our privacy policy.

Oops! Something went wrong while submitting the form.

We’re committed to your privacy. Tamr uses the information you provide to contact you about our relevant content, products, and services. For more information, read our privacy policy.

Oops! Something went wrong while submitting the form.

Solve common patient and provider data challenges

  • Streamline data management processes for enhanced efficiency and accuracy
  • Seamlessly integrate patient and provider records for comprehensive insights
  • Improve care coordination and communication among healthcare teams
  • Optimize operational workflows and resource allocation
  • Enable data-driven decision-making for improved patient outcomes

Solve common patient and provider data challenges

  • Streamline data management processes for enhanced efficiency and accuracy
  • Seamlessly integrate patient and provider records for comprehensive insights
  • Improve care coordination and communication among healthcare teams
  • Optimize operational workflows and resource allocation
  • Enable data-driven decision-making for improved patient outcomes
 
No items found.

Powerful solutions for seamless data integration and management in healthcare

Getting unified patient data in the right hands can avoid medical errors, readmissions, and unnecessary treatment that can save lives, reduce costs, and improve patient care. For years, state and government agencies have tried to achieve these benefits by compiling and sharing an overwhelming amount of patient data. But the volume and complexity of the data made it difficult to realize results. 

The same holds true on the provider side. When hospitals or physician practices merge, or health systems acquire hospitals and physician practices, the provider networks become even more complex and concentrated. At the practice level, a provider may be associated with one or more practices within a group. And each provider is often associated with a larger group and site with facilities in multiple regions as well. 

Given the scale and complexity of patient and provider data, a human-guided, machine learning-driven mastering approach is essential.

Rather read the transcript? Dive right in.