Healthcare IT Today Interviews

Jay Nakashima, President at eHealth Exchange, discusses in this video interview some recent hot developments in health data exchange, and how he expects it to expand in the future.
HHS's TEFCA project has been in force for some time, while the CMS-Aligned Network is new and has created confusion in the industry about the relatinship between them (Note: Steven Posnack has a great article that works to clear this up). eHealth Exchange is a designated QHIN under TEFCA and plans to implement the criteria necessary to become a CMS-Aligned Network as well. Nakashima recommends that anyone who has started to work with TEFCA continue to do so.
He calls TEFCA "prescriptive" and thinks that more varied options will become available.
Learn more about eHealth Exchange: https://ehealthexchange.org/
Healthcare IT Community: https://www.healthcareittoday.com/

Getting patient data to the proper person—including doctors and the patients themselves—is a many-layered task involving standards, privacy protections, consent, and usability. In our recent interview, Mariann Yeager, CEO at a major nonprofit in health interoperability, The Sequoia Project, describes the organization's continuing work and upcoming plans.
Check out our interview with Marianna Yeager from The Sequoia Project to learn more about the ways they're making health data sharing more trusted and compliant.
Learn more about The Sequoia Project: https://sequoiaproject.org/
Healthcare IT Community: https://www.healthcareittoday.com/

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/
Find more great health IT content at https://www.healthcareittoday.com/

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/