Proceedings of the Association for Pathology Informatics Bootcamp 2022

Amrom E Obstfeld; Victor Brodsky; Alexis B Carter; Peter Gershkovich; Shannon Haymond; Bruce Levy; John Sinard; Devereaux Sellers; Michelle Stoffel; Ronald Jackups

doi:10.1016/j.jpi.2023.100331

Proceedings of the Association for Pathology Informatics Bootcamp 2022

J Pathol Inform. 2023 Aug 15:14:100331. doi: 10.1016/j.jpi.2023.100331. eCollection 2023.

Authors

Affiliations

¹ Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.
² Department of Pathology and Immunology, Washington University School of Medicine in Saint Louis, St. Louis, MO, USA.
³ Department of Pathology and Laboratory Medicine, Children's Healthcare of Atlanta, Atlanta, GA, USA.
⁴ Department of Pathology, Yale School of Medicine, New Haven, CT, USA.
⁵ Department of Pathology, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern Feinberg School of Medicine, Chicago, IL, USA.
⁶ Department of Pathology, Geisinger Medical Center, Danville, PA, USA.
⁷ Department of Pathology, MetroHealth Medical Center, Cleveland 44109, OH, USA.
⁸ Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA.

Abstract

The Pathology Informatics Bootcamp, held annually at the Pathology Informatics Summit, provides pathology trainees with essential knowledge in the rapidly evolving field of Pathology Informatics. With a focus on data analytics, data science, and data management in 2022, the bootcamp addressed the growing importance of data analysis in pathology and laboratory medicine practice. The expansion of data-related subjects in Pathology Informatics Essentials for Residents (PIER) and the Clinical Informatics fellowship examinations highlights the increasing significance of these skills in pathology practice in particular and medicine in general. The curriculum included lectures on databases, programming, analytics, machine learning basics, and specialized topics like anatomic pathology data analysis and dashboarding.

Keywords: Data analytics; Data science; Pathology informatics.

Publication types

Review