Sponsored by Johns Hopkins University

Speaker:

• Patrick S. Romano, University of California, Davis, School of Medicine

The Future of Large-Scale Clinical Data for Real-World Analytics: From fully-specified diagnostic sentences to computable data

Over the past decade, the emergence of large-scale electronic medical records has enabled an unprecedented opportunity for longitudinal analysis of clinical events from real-world data. However, historical mechanisms for encoding such data into classifications impoverishes detailed analytics. New strategies for the systematic capture of clinical concepts, findings, diagnoses, and outcomes promise to address these historical shortcomings, enabling comprehensive clinical characterization that can support high-throughput data science.

Keynote Speaker

• Christopher G. Chute, Johns Hopkins University

Examining what current clinical classifications can and cannot do with discussion of emergent classification and terminology solutions for more complete capture of clinical information.

Speakers:

• Susan H. Fenton, McWilliams School of Biomedical Informatics at UTHealth Houston

• June Bronnert, Intelligent Medical Objects (IMO)

• Sue Bowman, American Health Information Management Association (AHIMA)

• Vickie M. Mays, University of California, Los Angeles

Detailed Rendering of Disease Classification: Opportunities to align and integrate precision-medicine based classifications encoded in biomedical ontologies and real-world data within the framework of the ICD

Speakers:

• Melissa Haendel, UNC School of Medicine, Department of Genetics

• Ada Hamosh, Johns Hopkins School of Medicine, McKusick-Nathans Department of Genetic Medicine

• Peter Fish, Mendelian

• Bradford Powell, UNC School of Medicine, Department of Genetics

Sponsored by AHIMA (American Health Information Management Association)

The Foundation of the ICD-11: Development, enrichment, maintenance and curation

Chair: Geoffrey M. Reed, Columbia University Vagelos College of Physicians and Surgeons

Speakers:

• James T. Case, SNOMED International

• Christopher G. Chute, Johns Hopkins University

• Michael B. First, Columbia University Vagelos College of Physicians and Surgeons

Overviewing the opportunities, methodologies, and feasibility, of AI assisted coding of clinical records into post-coordinated expressions with classifications enriched with clinical terminology detail.

Moderator: Christopher G. Chute, Johns Hopkins University

Speakers:

• Ahmed Hassoon, Johns Hopkins University

• Paul Nagy, Johns Hopkins School of Medicine

• Zheyu Wang, Johns Hopkins University

• Tanner Zhang, Johns Hopkins University

Speakers:

• Patrick S. Romano, University of California, Davis, School of Medicine

Sponsored by AHIMA (American Health Information Management Association)