Professional Overview
Jason Hipp, MD, PhD is a physician-scientist, entrepreneur, and recognized strategic advisor specializing in computational pathology, digital pathology, and artificial intelligence (AI)-driven innovations in the life sciences and healthcare sectors. His professional base is at the Mayo Clinic, where he holds a leadership position as Chair of the Division of Clinical Informatics within the Department of Laboratory Medicine and Pathology (DLMP). This role, announced in May 2021, designates Dr. Hipp as a pivotal figure in advancing informatics initiatives that integrate AI and digital diagnostics in clinical practice.
He also has strong consulting engagements, notably with JDH Consulting, and collaborations with organizations such as COA Solutions, addressing healthcare challenges including veteran care and scalable health technology deployment. His professional footprint extends to being a consultant for notable healthcare entities such as LabCorp, Mass General Brigham, and Mayo Collaborative Services.
Current Position and Role at Mayo Clinic
- Title: Chair of the Division of Clinical Informatics, Department of Laboratory Medicine and Pathology
- Location: Rochester, Minnesota (Mayo Clinic main campus)
- Responsibilities:
- Leading Mayo Clinic’s digital pathology and AI implementations to transform pathology workflows and clinical diagnostics using computational pathology techniques.
- Overseeing informatics infrastructure to support laboratory medicine innovation, including integration of deep learning and machine learning algorithms for enhanced diagnostic accuracy and efficiency.
- Spearheading initiatives that leverage AI for digital slide analysis, cancer diagnostics, and pathology workflow optimization.
Dr. Hipp is recognized as a board-certified pathologist with fellowship training in pathology informatics and digital pathology, possessing significant expertise in computer vision, image analysis, and medical AI applications. His work directly supports Mayo Clinic’s strategy to modernize clinical laboratory medicine and pathology through computational methods.
Research & Academic Contributions
- Authored and contributed to over 50 scientific publications with more than 3,200 total citations, reflecting expertise in deep learning and AI algorithm development for pathology, including:
- Development and validation of deep learning algorithms for Gleason grading of prostate cancer.
- Advanced computational pathology approaches for RNA expression predictions from histopathology images.
- Studies on deep learning assistance improving diagnostic accuracy in oncology pathology, such as breast cancer lymph node assessment.
- Published significant reviews and research advancing digital pathology repositories and AI adoption in pathology.
- Served as a Rabson fellow in the Laboratory of Pathology at the National Cancer Institute, evidencing a robust research training background.
- Active editorial board member for the Journal of Pathology Informatics and senior editor roles in digital pathology resource guides.
- Has participated in scientific forums such as the VA Healthcare Summit and the Digital Pathology Association podcast ("Beyond the Scope"), discussing clinical AI applications and future directions in pathology.
Professional Influence and Industry Engagement
- Widely followed expert with approximately 7,000 LinkedIn followers, demonstrating a strong presence in professional and academic circles.
- Public thought leader on the convergence of digital pathology, AI, and healthcare innovation; credited with shaping Mayo Clinic’s computational pathology roadmap.
- Consultant for healthcare and diagnostic companies, providing strategic advisory focused on AI-enabled pathology workflows and clinical informatics.
- Collaborator in veteran healthcare technology projects, signaling a commitment to applying AI and digital pathology solutions in public sector health challenges.
- Regularly featured in industry media including Mayo Clinic press releases, specialty healthcare news, and academic medical conferences.
Key Technologies and Competencies
- Computational Pathology & AI: Extensive experience developing and applying machine learning, deep learning, and imaging algorithms to digital slide analysis and clinical diagnostics.
- Digital Pathology Systems: Expertise with whole slide imaging and digital pathology implementations supporting clinical laboratory workflows.
- Clinical Informatics Leadership: Proven ability to lead multidisciplinary teams at the intersection of pathology, information science, and AI innovation.
- Research & Statistical Analysis: Skilled in experimental design, evaluation environments for pathology tools, and quantitative image quality assessment.
- Consulting & Strategic Advisory: Providing healthcare clients with roadmap development for technology adoption and AI integration in clinical settings.
Dr. Hipp’s profile indicates he is a key innovator driving Mayo Clinic's leadership in the digitization and AI transformation of pathology, with validated research credentials and significant influence both internally and across the healthcare AI landscape. His dual role as a clinical informatics leader and consultant positions him as an informed decision-maker highly engaged in deploying scalable AI solutions to enhance diagnostic accuracy, efficiency, and healthcare delivery.
