1 / 6

Interdisciplinary Collaboration: Achieving a Common Semantic Fabric

Interdisciplinary Collaboration: Achieving a Common Semantic Fabric. Philip R.O. Payne, Ph.D. Assistant Professor , Department of Biomedical Informatics Director - Biomedical Informatics Program , Center for Clinical and Translational Science

kaleb
Download Presentation

Interdisciplinary Collaboration: Achieving a Common Semantic Fabric

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Interdisciplinary Collaboration: Achieving a Common Semantic Fabric Philip R.O. Payne, Ph.D. Assistant Professor, Department of Biomedical Informatics Director - Biomedical Informatics Program, Center for Clinical and Translational Science Co-Director - Biomedical Informatics Shared Resource, Comprehensive Cancer Center Translational Research Informatics Architect, The Ohio State University Medical Center

  2. Key Points • Semantics: intended or perceived meaning of symbols corresponding to conceptual entities • Defined by discipline of semiotics and cognitive psychology • Two type of semantic interoperability: computable vs. working • Semantics must be addressed at a systems level: • Individuals • Organizations • Technologies • Example case illustrating the challenge of creating a common semantic “fabric” • Design of CCTS collaboration portal • Application of CKE methods to design • Technology limitations • Implementation team mismatch • Socio-technical barriers to adoption • Poor uptake and utilization • Fundamental problem = semantic mismatch between information needs, developers, and technology platforms

  3. Health Informatics Nursing Informatics Computers in Medicine Medical Informatics Computational Biology Imaging Informatics Bioinformatics AI in Medicine Public Health Informatics Biomedical Informatics

  4. Advice • For trainees: • Get engaged in the team science environment • Approach research and development efforts in this space with a systems orientation • Be aware of pertinent frameworks and theories • Semiotics • Cognitive Science • Be willing to challenge conventions • Current team science environment is very immature • For individuals new to the healthcare domain: • Be aware of sub-culture and its implications • Place work in context of motivating scientific, clinical, and operational use cases • Technology for technologies sake does not sell well to funders or adopters • Champions are critical! • Error towards simplicity (the best solutions are rarely complicated) • Problem decomposition • Simplification of workflows and processes borne of necessity and historical precedent

  5. Issues To Think About… • Lack of cultural and workflow awareness • Poor understanding of applicable theories, frameworks, and prior work • Example: Semiotics – semantics – cognitive science – knowledge engineering • Appropriate use and limits • Absence of • motivating use cases • Systems level approach • Realism vs. instrumentalism

  6. Questions/Comments? Thank you for your time and attention philip.payne@osumc.edu http://www.bmi.osu.edu/~payne

More Related