Healthcare IT Today Interviews

Radiology teams don’t need more dashboards. They need clearer signals about capacity, and better image quality. This conversation looks at how small, practical changes, powered by AI, make a real difference.
In this video, Lily Belcak, Customer Success Leader at GE Healthcare, explains how analyzing DICOM data directly from imaging devices helps health systems better understand how long exams actually take and where schedules can be adjusted. The result is more accurate appointment planning and improved access without adding staff or equipment.
You’ll also hear from Laura Hernandez, Chief Marketing Officer for Women’s Health and X-ray at GE Healthcare, on how Pristina Recon DL focuses on image clarity and reading efficiency. Clearer images support faster reads for radiologists and reduce the need for repeat scans, especially in breast imaging where precision matters.
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Learn more about GE Healthcare at https://www.gehealthcare.com/
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Sending data over the wire is just the start of health care data interoperability. Other critical tasks include identifying the right destination (in other words, a directory), identifying the patient and other security practices, and getting patient consent. In this video, we hear about these topics from two co-chairs of the HL7 FHIR at Scale Taskforce (FAST): Jason Teeple, Senior Director Enterprise Architecture and Interoperability Strategy, Evernorth and Duncan Weatherston, CEO at Smile Digital Health.
Learn more about EverNorth: https://www.evernorth.com/
Learn more about Smile Digital Health: https://www.smiledigitalhealth.com/
Learn more about HL7 FAST: https://confluence.hl7.org/spaces/FAST/overview
Healthcare IT Community: https://www.healthcareittoday.com/

Sepsis has been on hospital priority lists for years, yet it still slips past clinicians every day. The challenge is not awareness. It is variability, speed, and too many signals competing for attention.
In this conversation, Robin Carver, Senior Vice President of Commercialization at Prenosis, explains why sepsis is so hard to diagnose early and how a more precise, biologically grounded approach is changing the conversation. She shares why broad alerts often fail, how individual immune response plays a critical role, and what narrowly focused, FDA-authorized AI can realistically add to clinical decision making.
How do you reduce noise without missing risk? And what does “augmented intelligence” actually look like at the bedside? Robin walks through real data, real constraints, and what she sees as the next stage of AI in acute care.
💬 How are you approaching sepsis detection in your organization today? What has helped and what still gets in the way? Share your perspective in the comments.
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Learn more about Prenosis at https://prenosis.com/
Find more great health IT content at https://www.healthcareittoday.com/

Hyland Brings Enterprise Content Management to Pathology with Tribun
Digital pathology adoption is picking up speed, but many organizations are discovering that scanners and AI alone do not solve the hard problems. The real challenge is the lack of standards that holds back efforts to scale and optimize.
In this interview, Michael Campbell, Chief Product Officer at Hyland, breaks down why enterprise content management is becoming essential for digital pathology. He explains Hyland’s partnership with Tribun Health, how responsibilities are split between digitization, analysis, and backend imaging governance, and what health IT leaders should be thinking about as pathology moves beyond pilot programs. The conversation also touches on Hyland’s broader product roadmap, including how agentic AI fits into enterprise workflows and why transparency and auditability matter for adoption.
Where do you see the biggest bottleneck in digital pathology today? Is it technology, standards, or operational governance? Share your perspective in the comments.
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Learn more about Hyland at https://www.hyland.com/en
Learn more about Tribun Health at https://www.tribun.health
Find more great health IT content at https://www.healthcareittoday.com/

Cloud imaging promised speed and simplicity. Many health systems got longer rollouts, higher costs, and workflows that still feel tied to the data center. The issue isn’t the cloud. It’s how imaging platforms were designed to use it.
In this conversation, Brad Levin, General Manager, North America at Visage Imaging, explains why streaming-first architecture changes the equation. The discussion covers why hosted PACS struggle to scale, how six-to-nine-month go-lives can/should be the norm, and why enterprise imaging works better as a single platform rather than stitched-together modules.
Share your perspective on cloud imaging and the Netflix-approach in the comments.
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Learn more about Visage Imaging at https://www.visageimaging.com/
Find more great health IT content at https://www.healthcareittoday.com/