Tuesday, July 21, 2026, 11:00-11:30 AM CT
Roundtable presenters Nick Fingland, PhD, PMP, Senior Director, R&D Operations and Science, BD, and Chris Farnsworth, PhD, D(ABCC), Section Head of Clinical Chemistry, Professor of Pathology and Immunology, Washington University School of Medicine.
Moderated by: Bob McGonnagle, Publisher, CAP TODAY
Wednesday, July 29, 2026, 1:00-2:00 PM ET
Learn about digital pathology technology that is future-ready, yet practical for today’s
laboratory needs.
Webinar presenters Scott Hammond, Senior Systems Consultant, Digital Pathology Division, Wexner Medical Center, Department of Pathology, and Ursula Hofer, Imaging Technologist, Pathology Digital Imaging Lab, Wexner Medical Center, Department of Pathology, and Sandra Banky, PA(ASCP), Director of Operations, Wexner Medical Center, Department of Pathology.
Moderated by: Bob McGonnagle, Publisher, CAP TODAY
June 2026—As the scope and scale of information technology available to the pathology laboratory balloons, so too do the number of proposals for lab IT projects, products, and partnerships. And those pitching such proposals can up their odds of success if they avoid using technical jargon, acronyms, and other IT speak when explaining such endeavors to an audience without expertise in those areas, says communications expert Terry Rubin.
November 2025—UpToDate, a widely used clinical decision support tool, is facing competition from OpenEvidence, an AI-powered tool that provides more accurate and context-specific answers to complex clinical cases. While UpToDate is adding its own AI capabilities, the optimal source of truth for AI-driven clinical decision support remains uncertain.
October 2025—For pathology residents, there are easier tasks than writing a perfect preliminary case report on the first attempt. Nailing Jell-O to a tree, for example, or stapling sunlight to a cloud. “When the attendings make no changes or just sign out the case as we wrote it, there’s a sense of accomplishment,” says Jingjing Cao, MD, pathology resident in the Departments of Pathology and Laboratory Medicine, University of California San Francisco.
September 2025—In his previous role as a pathologist at Seattle’s Virginia Mason Medical Center, Dick Hwang, MD, PhD, was looking for a way to make his life—and his colleagues’ lives—easier. So he reached for something he hadn’t used in a while: his doctorate in computational biology. It was 2014, and Virginia Mason’s pathology group had just rolled out M*Modal Fluency Direct speech-recognition software as an optional tool for dictating diagnostic data. Dr. Hwang and many of his colleagues embraced the new software, but they soon realized that it meant they’d be spending a lot of time editing and formatting data. Entering a final diagnosis required, for example, typing “1.{tab}{caps lock},” dictating “cecum and ascending colon comma polypectomy,” then typing “:{caps lock}{return}{backspace}A.{tab}”—just as a start.
August 2025—Recognizing the value of researching options before purchasing a big-ticket item, the College of American Pathologists has developed the AI Playground to help pathologists assess artificial intelligence tools before going all-in on a technology that may not end up suiting their needs, among other potential issues. The playground will offer cutting-edge AI tools that pathologists can test-drive from the comfort of their own laboratories using simulated data sets on a platform designed specifically for that purpose. It will be available to CAP members at no charge and accessible via the CAP website after it is debuted in the CAP Innovation Hub and the College’s booth at CAP25, in Orlando, next month.
July 2025—PathAI and Chicago-based Northwestern Medicine have entered a multi-year venture in which Northwestern will implement PathAI’s AISight digital pathology image-management system. The two entities will also jointly undertake research initiatives and develop clinical innovation programs and artificial intelligence-powered diagnostic tools.
June 2025—Whether it’s easier to edit a document created by another source or create more or less the same document from scratch is open to debate. But clinical informaticians at Stanford Health Care, Palo Alto, Calif., are banking on clinicians preferring to assess and adjust versus starting with a blank page. Therefore, the health care system has been conducting trials on the use of generative artificial intelligence to draft patient-centric interpretations of pathology test results that these care providers can review and edit and then share with patients.
May 2025—Duke University has launched its Duke Center for Computational and Digital Health Innovation, which is intended to drive technological advances in the areas of wearable sensors, high-performance computing, and extended reality solutions. “Our center provides a vibrant platform for innovation and collaboration, where researchers, clinicians, engineers, and industry partners work side-by-side to pioneer new solutions,” says an open letter from Amanda Randles, PhD, director of the center. Faculty support for the center comes from the Duke University School of Medicine, School of Nursing, Trinity College of Arts and Sciences, and Pratt School of Engineering.
April 2025—UPMC Enterprises has introduced Ahavi, a real-world data platform on which clinical researchers, data scientists, and developers of artificial intelligence can validate AI solutions before the University of Pittsburgh Medical Center deploys them. The platform provides de-identified real-world health care data from more than 80 University of Pittsburgh Medical Center sources. Comprehensive structured and unstructured data have been sourced from approximately 5 million patients across 24 hospitals in order to train and refine AI models and develop predictive analytics and clinical decision-making tools.
March 2025—Delays while a courier is sent to the blood bank. Errors in judgment. Omission of steps in tracking who received a unit of blood. Wastage of blood product because clinicians were cautious and overordered or ordered too soon. Staffing issues. All of these potential blood bank-related problems can be mitigated with smart blood-storage devices, also called smart refrigerators or blood vending machines.
