Radiology Imaging Solutions Roundup: Innovating with Big Data


Radiology imaging, content roundupBig data analysis can be a gargantuan task in the medical imaging industry. With so much data available for processing, how can radiologists be sure that analyses can positively affect patient diagnoses?

While the amount of data can seem overwhelming, radiologists can utilize practices like informatics to harness big data for their practices. Here are three recent articles that highlight how to use big data’s power in a modern radiology imaging workflow.

1. Big data in radiology: Use it right

Author Whitney L.J. Howell asserts that while big data is a factor in the radiology field, its effectiveness depends on how healthcare professionals use it. She highlights a two-phased solution for using big data successfully in radiology:

  • First, determine the measurements you’d want to track and analyze
  • Second, gradually introduce new tools into the measurement process (for deeper analysis)

Howell notes that the increase of available data will mean that patients have ever-growing access. Leadership should prepare their organizations for this change.

2. Embracing informatics: 4 ways big data could impact radiology

In this article, Michael Walter explores how big data can significantly change the face of radiology. He asserts that big data can add a personal touch to medical image interpretation, usher in the emergence of new image markers, and help place a definitive value on radiology services and improving radiology workflow.

The cost benefits and outcomes of radiology services can also be better quantified using big data, which can help healthcare professionals decide which data services would be most beneficial in their practices.

3. Big data and the future of radiology informatics

This article, published by Joanne Finnegan in FierceHealthIT, asserts that since healthcare professionals gather a considerable amount of data on patients during appointments, big data could be quite useful.

Radiologists can use the following big data-driven systems to analyze and deliver a wealth of patient information to healthcare practices:

  • Personalized image interpretations
  • New imaging markers
  • Pooled results from multiple healthcare systems

Emerging technology and years of archived data can have an immediate impact on the radiology field, and it doesn’t have to be a massive undertaking at the radiologist level. Discover how McKesson can guide your big data imaging analysis by subscribing to the Medical Imaging Talk blog.

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