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Laura Dyrda on Muck Rack

Laura Dyrda

Verified
Chicago
As seen in: Becker's ASC Review, Becker's Dental Review, Becker's Health IT & CIO Report, Becker’s Healthcare Podcast, LinkedIn, TechOhio, Becker's Hospital Review, NewsBreak, Podchaser, Becker's Spine Review, Our Community Now, The Jewish Link of New Jersey, Phil's Stock World, Becker's Payer Issues and
Editor for Becker's Healthcare, health IT, ASC, Spine; mother and author.

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Articles

‘They steal the nation’s trust’: Dr. Oz on why fraud detection can’t wait

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By Laura Dyrda Verified
| Becker's Hospital Review Verified
For years, sophisticated AI detection tools made banking an inhospitable place for fraud. Healthcare filled the gap. Mehmet Oz, MD, CMS administrator, said at the Oracle Health and Life Sciences Summit that dynamic is now driving one of his highest priorities at the agency: deploying the same AI playbook that secured the banking system against federal healthcare programs that have been operating without it. “Bank fraudsters are better at fraud than bank managers, right?
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UC San Diego Health’s revenue cycle chief tackles payer pressure upstream

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By Laura Dyrda Verified
| Becker's Hospital Review Verified
Prior authorization volumes are climbing and payer policies shift mid-year. Denial rates continue to rise across the industry. In that environment, the pull for revenue cycle teams is to pursue every new problem, respond to every escalation, chase every trend. Mike Vigo, chief revenue cycle officer at University of California San Diego Health in San Diego, wants his team to resist it.
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Oracle Life Sciences pairs AI with 122M patient records for pharma

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By Laura Dyrda Verified
| Becker's Hospital Review Verified
Austin, Texas-based Oracle has expanded Oracle Life Sciences Data Intelligence, combining real-world data, domain-trained AI and advanced analytics in a single platform for pharmaceutical research teams, the company said Sept. 23. The platform, formerly known as Oracle Life Sciences AI Data Platform, lets researchers use natural language to build and refine patient cohorts, run outcome analyses and automate multistep research workflows with less manual coding.
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