News | Artificial Intelligence | September 14, 2020

AI automatically extracts diagnostic data from clinical notes to increase efficiency of automated medical necessity reviews by over 20%

Change Healthcare announced innovative new artificial intelligence (AI) models, trained by expert physicians, which extract meaningful diagnostic information from text in EHRs. The first application of this technology will be within the InterQual AutoReview solution, which automates medical necessity reviews using real-time data from EHRs.

September 14, 2020 — Change Healthcare announced innovative new artificial intelligence (AI) models, trained by expert physicians, which extract meaningful diagnostic information from text in EHRs. The first application of this technology will be within the InterQual AutoReview solution, which automates medical necessity reviews using real-time data from EHRs.

Conducting a medical necessity review is a time-consuming process consisting of retrieving and reviewing clinical data from a patient’s record and manually completing the review. This task can take anywhere from 10-30 minutes for a typical review and places a significant administrative burden on highly skilled clinical staff.

The InterQual AutoReview solution already reduces this burden by extracting structured data, such as labs, medications, and vital signs, directly from the EHR — representing up to a 75% reduction in the administrative burden of conducting reviews. Now Change Healthcare AI Natural Language Processing models, created and trained by Change Healthcare’s AI data scientists and expert clinicians and radiologists, can identify diagnostic information, such as the presence of pneumonia, bowel obstruction, pancreatitis, and other conditions, from unstructured radiology reports.

With hundreds of medical reviews conducted in many hospitals each day, the impact of this enhanced technology is significant. Case managers are freed from the administrative burden of not only retrieving and reviewing information, but also interpreting narratives, enabling them to focus on more complex cases.

“This is an extremely helpful application of AI for case managers,” said Nilo Mehrabian, VP of Client Strategy, Decision Support, at Change Healthcare. “InterQual AutoReview already reduces the amount of time case managers spend completing medical necessity reviews, and now it can automatically eliminate one of the most time-consuming and subjective aspects of a review—deciphering a radiologist’s report.”

The new Change Healthcare AI models are trained using clinical data and are honed by expert physicians. As a result, the InterQual AutoReview solution can identify diagnostic information, such as the presence of pneumonia from unstructured clinical narratives, enabling an additional 20% of pneumonia reviews to be automatically completed on top of reviews already completed through structured EHR data. This is just one of several Change Healthcare-developed AI models with ultra-high prediction accuracy that can be used to improve processes across the Change Healthcare portfolio and healthcare industry.

For more information: www.changehealthcare.com


Related Content

News | Computed Tomography (CT)

March 31, 2023 — Philips, a global leader in health technology, and Connally Memorial Medical Center (CMMC), today ...

Time March 31, 2023
arrow
News | Enterprise Imaging

March 30, 2023 — Hyland Healthcare, whose solutions are used by more than half of the hospitals in the United States ...

Time March 30, 2023
arrow
News | Magnetic Resonance Imaging (MRI)

March 30, 2023 — GenesisCare, one of the leading integrated cancer care providers in the United States, Australia, Spain ...

Time March 30, 2023
arrow
News | HIMSS

March 29, 2023 — Over 2,000 leading executives have committed to attend HIMSS Global Health Conference & Exhibition, now ...

Time March 29, 2023
arrow
News | Artificial Intelligence

March 29, 2023 — In a partnership which aims to provide faster and safer medical imaging across Australia and New ...

Time March 29, 2023
arrow
News | Interventional Radiology

March 28, 2023 — Researchers found that a minimally invasive procedure combined with epidural steroid injection ...

Time March 28, 2023
arrow
News | Radiology Business

March 27, 2023 — Swissray brand has a long history of pioneering digital x-ray technology. One of the first markets that ...

Time March 27, 2023
arrow
News | Information Technology

March 27, 2023 — Royal Philips, a global leader in health technology, today announced the debut of Philips Virtual Care ...

Time March 27, 2023
arrow
News | Artificial Intelligence

March 27, 2023 — DeepTek.ai, a leading radiology AI company offering multiple AI-powered solutions for radiology ...

Time March 27, 2023
arrow
News | ARRS

March 23, 2023 — According to an accepted manuscript published in ARRS’ own American Journal of Roentgenology (AJR) ...

Time March 24, 2023
arrow
Subscribe Now