Standardisation improves the quality and usefulness of imaging data

Although there are many standards in healthcare today, the industry falls short on what is really needed to achieve true interoperability, according to Enlitic. “This is especially true in the context of medical imaging. By standardising the study and series descriptions of medical images, a facility can gain several benefits that can impact the delivery of patient care,” the company says.

Improved data orchestration:

Standardised descriptions make it easier to manage storage, retrieval, and distribution and make routing rules and display protocols more dependable.

Improved workflow efficiencies:

Standardised descriptions simplify image display and reduces manual intervention by the radiologist.

Improved accuracy and consistency:

“The lack of standardisation in the description of medical images can lead to inconsistencies in interpretation, which can result in incorrect diagnoses, unnecessary tests and inappropriate treatments,” the company continues.

Improved interoperability:

Standardisation can help ensure images are easily and accurately transferred between healthcare providers, improving interoperability and easing exchange of information.

Better research:

“When descriptions of images vary, it can be difficult to compare and interpret information contained in the images, leading to unreliable and inaccurate research results,” says Enlitic.

Increased value for data monetization:

“Standardising image descriptions improves the quality and usefulness of data, thus increasing its value.”

Conclusion:

Standardising medical data and descriptions in healthcare is crucial for improving the quality, accuracy, and efficiency of care delivery.

This news story has been sponsored by the companies concerned and does not represent the views or opinions of RAD Magazine.  Visit our dedicated UKIO conference page to find out more.

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