Mining Practice Operational Data in Less Traditional Ways
Video: Radiology groups might be surprised at how much operational data is available. Regents Health Resources’ Brian Baker talks less-obvious ways to compare data.
Mining operational data can help a radiology practice identify areas for improved efficiency. But where does all that data come from?
“It’s coming from your systems today,” said Brian Baker, president of Regents Health Resources.
You might be surprised just how much data you have available to you, and what it can reveal when compared in less-obvious ways, Baker said.
For example, practices usually analyze procedures that were billed compared with payment collected. But comparing what was performed with what was billed can reveal even more insights, he said. By measuring traditionally integrated systems against each other, even more data and analysis becomes available.
In this video, Baker discusses where the practice operational data comes from and the less obvious ways to analyze the data.
Mammography AI Platform for Five-Year Breast Cancer Risk Prediction Gets FDA De Novo Authorization
June 2nd 2025Through AI recognition of subtle patterns in breast tissue on screening mammograms, the Clairity Breast software reportedly provides validated risk scoring for predicting one’s five-year risk of breast cancer.
Can Emerging AI Software Offer Detection of CAD on CCTA on Par with Radiologists?
May 14th 2025In a study involving over 1,000 patients who had coronary computed tomography angiography (CCTA) exams, AI software demonstrated a 90 percent AUC for assessments of cases > CAD-RADS 3 and 4A and had a 98 percent NPV for obstructive coronary artery disease.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
