Subject to change.
Subject to change.
Donald Karcher, MD, FCAP, is a board-certified anatomic and clinical pathologist, and hematopathologist, actively practicing and teaching hematopathology, flow cytometry, and laboratory administration. He is Professor and Immediate Past Chair of Pathology at the George Washington University Medical Center. He has been a member of its faculty since 1984, rising through the ranks to Pathology chair in 1999, a role in which he served for 20 years. Dr. Karcher is the 38th President of the College of American Pathologists, serving from 2023 to 2025.
Since its inception in 2009, the Digital Pathology Association (DPA) has been at the forefront of driving innovation in digital pathology (DP) and augmented intelligence (AI) within healthcare and life sciences. Recognizing the power of collaboration, DPA has forged strong partnerships with like-minded professional societies and organizations. Join us for this exclusive panel discussion featuring the Presidents of four distinguished allied societies. Together, they will provide a high-level overview of the current landscape of DP and AI, highlighting both the advancements and challenges facing the field. Panelists will delve into the strategies and initiatives implemented by their respective societies to propel DP and AI forward. They will also explore opportunities to strengthen collaborations and address critical issues such as education, regulation, and reimbursement. This interactive session is designed to foster open dialogue and encourage audience participation in this vital conversation about the future of pathology.
Learning Objectives:
This presentation is designed for those interested in understanding the strategic initiatives of the College of American Pathologists (CAP) regarding Digital Pathology (DP) and AI reimbursement. It will also address the impact of recent FDA Laboratory Developed Test (LDT) rules on pathology, DP, and AI. Attendees will gain insights into the resources CAP provides in these areas and learn about CAP's efforts to advance the practice and science of DP and AI. Additionally, the presentation will explore how the pathology community can collaborate to advance various areas, including implementation, quality improvement, standardization, cancer protocols, electronic reporting, and the regulatory science of DP and AI.The CAP established the Council on Informatics and Pathology Innovation (CIPI) in 2022. It is charged to identify and recommend strategic direction on current and emerging medical information science, date science, and computational technologists that could impact the practice of pathology; provide informatics domain information and expertise to the CAP in furtherance of its programs and mission; and support appropriate engagement with external stakeholders. CIPI has embarked on numerous initiatives in education, quality, proficiency testing, and regulatory science of DP, AI, and beyond. The leadership and resources provided by CIPI and its various committee are valuable to pathologists and laboratories undergoing a digital transformation. In addition, the CAP's Council on Government and Professional Affairs (CGPA) is working diligently on behalf of pathologists to identify current and emerging issues in the legislative, regulatory, and private sector arenas that may impact the practice of pathology; to develop policies and strategies to positively influence these issues to benefit patients and pathologists; and to implement these policies and strategies by educating pathologists, conducting advocacy programs and maintaining liaison with health-related organization.The presenters and panelists are pathologists and the chairs of the CIPI, CGPA, and Digital and Computational Pathology Committee. A Q&A session will follow the presentation. This one-hour session aims to provide valuable insights and foster collaboration among pathologists and laboratories experiencing a digital transformation. The leadership and resources offered by CAP, through CIPI and CGPA, are instrumental in navigating the evolving landscape of digital pathology and AI.
Learning Objectives