2015 Annual Meeting

American Society for Clinical Pathology in collaboration with the Association for Pathology Informat

2015 Annual Meeting

Room CC 207, March 22 2015, 1:30pm to 5:00pm

J. Mark Tuthill, Ulysses Balis, John Gilbertson, Anand Dighe, Long Le

Computation Pathology and the Future of Pathology Informatics in the Diagnostic Laboratory

Educational Objective

A look at how computational pathology will be rolled out in the laboratory from analysis of big data, to implementation of algorithms to support new diagnostic and predictive outcomes, through analysis of analytic data and genomic information. The speakers will describe key strategies and illustrate them through examples and anecdotes. The program will provide attendees the background needed to take a more active leadership role in the clinical content of their own institution’s hospital and laboratory information systems, and to leverage these systems to improve diagnostic and economic value. For some four decades, the sub-discipline of pathology informatics (PI) has enjoyed relative tranquility and evolved as a vibrant offshoot of clinical and anatomic pathology. This equilibrium has been disrupted by four major current phenomena: (1) the rapidly increasing power and influence of hospital C-suite executives who frequently favor enterprise-wide IT solutions and EHRs as opposed to best-of-breed ancillary systems like the interfaced LISs; (2) confusion in the digital pathology market caused in part by regulatory pressures, delaying the deployment of new technology in surgical pathology; and (3) cost-containment pressures associated with the Affordable Care Act (PPACA), commonly called Obamacare; (4) the transformation of pathology and laboratory medicine by the rapid pace of scientific discoveries in genomics and proteomics. The goal of the ASCP companion society focused on informatics will be to look toward future of computational analysis in the laboratory and required technology and opportunities to leverage computation pathology through a series of practical examples. Topics presented will include:

  1. Multi-Analyte Assays with Algorithm Analyses (MAAAs).
  2. Mining of Laboratory Data for Test Utilization.
  3. The Critical Role of Pathology Informatics in ‘Big Data’ Initiatives.
  4. Analytics in Support of Next Generation Sequencing.

Target Audience: Pathologists, Pathology Residents, Lab Professionals, Lab Managers and Directors Upon completion of this educational activity, participants should be able to:

  1. Understand what is meant by computation pathology
  2. Present specific examples of computation systems pathology at work in the modern laboratory and predictions for how they will be used in the future.
  3. Describe how computational pathology will leverage pathology informatics to improve laboratory efficiency, patient safety, and decrease costs.

Session Credits: CME = 3 / SAMs = N/A


Companion Meeting Moderator
Speaker: J. Mark Tuthill, MD, Henry Ford Health System, Detroit, MI
Multianalyte Assays with Algorithmic Analyses (MAAA?s) and Mining for Routing Laboratory Data Sets
Speaker: Ulysses G. Balis, MD, University of Michigan, Ann Arbor, MI
The Critical Role of Pathology Informatics in ?Big Data? Initiatives
Speaker: John Gilbertson, MD, Massachusetts General Hospital, Boston, MA
Mining of Laboratory Data for Test Utilization - Abnormal Laboratory Value Interpretation
Speaker: Anand Dighe, MD, PhD, Massachusetts General Hospital, Boston, MA
Handouts: View PDF
Analytics in Support of Next Generation Sequencing
Speaker: Long Phi Le, MD, PhD, Massachusetts General Hospital, Boston, MA


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