Description
The popularity of health data science and persistent problems with avoidable medical errors combine to put a bright spotlight on the growing need for as much actionable health knowledge as possible to be expressed in standardised, computable forms that can be shared, reused, validated, traced as it evolves across time (provenance) and extended by other researchers. Recognizing this need, several major computable biomedical knowledge organizing initiatives are underway around the globe - Research Objects, MCBK, TRANSFoRm, CodeOcean, Knowledge Grid. This panel shall deliver on four key learning objectives. Attendees will come to: (1) Understand major (a) research, (b) clinical, (c) population health, and (d) educational use cases for actionable Computable Biomedical Knowledge (CBK); (2) Recognize common barriers to the widespread adoption and use of CBK to improve health; including the need to position CBK artifacts in relation to existing standards, such as FHIR, BPMN, DMN, PMML, PFA, RDF/OWL, etc. and be able to discuss strategies for achieving large-scale CBK artifact implementation in concrete scenarios, including the routine use of CBK created outside an organisation with possibly different technologies; (3) Understand a series of key design considerations that come into play when creating CBKs. (4) Learn the challenges of managing large numbers of routinely evolving CBK artifacts in ways that span research, clinical, health operations, and educational environments and be aware of emerging software tooling used to address CBK management at scale; (5) With the idea that all knowledge is relational by nature in mind, envision the most critical relationships amongst CBK artifacts and be aware of how these relationships can be used to improve the findability, accessibility, interoperability, and reusability (FAIRness) of CBK artifacts, collections of CBK artifacts, and related CBK-enabled IT services.
Learning Objective: (1) Understand major (a) research, (b) clinical, (c) population health, and (d) educational use cases for actionable Computable Biomedical Knowledge (CBK)
(2) Recognize common barriers to the widespread adoption and use of CBK to improve health; including the need to position CBK artifacts in relation to existing standards and be able to discuss strategies for achieving large-scale CBK artifact implementation in concrete scenarios, including the routine use of CBK created outside an organisation with possibly different technologies
(3) Understand a series of key design considerations that come into play when creating CBKs.
(4) Learn the challenges of managing large numbers of routinely evolving CBK artifacts in ways that span research, clinical, health operations, and educational environments and be aware of emerging software tooling used to address CBK management at scale;
(5) Envision the most critical relationships amongst CBK artifacts and be aware of how these relationships can be used to improve the findability, accessibility, interoperability, and reusability (FAIRness) of CBK artifacts, collections of CBK artifacts, and related CBK-enabled IT services.
Authors:
Vasa Curcin (Presenter)
King's College London
Jean-Francois Ethier (Presenter)
Sherbrooke University
Allen Flynn (Presenter)
University of Michigan
Davide Sottara (Presenter)
Arizona State University
Brendan Delaney (Presenter)
King's College London
Presentation Materials: