Distributed Autonomous Organization of Learning: Future Structure for Health Professions Education Institutions

Current health professions education (HPE) institutions are based on an assembly-line hierarchical structure. The last decade has witnessed the advent of sophisticated networks allowing the exchange of information and educational assets. Blockchain provides an ideal data management framew...

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Main Authors: Daniel Cabrera, Christopher P Nickson, Damian Roland, Elissa Hall, Felix Ankel
Format: Article
Language:English
Published: JMIR Publications 2022-01-01
Series:JMIR Medical Education
Online Access:https://mededu.jmir.org/2022/1/e28770
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author Daniel Cabrera
Christopher P Nickson
Damian Roland
Elissa Hall
Felix Ankel
author_facet Daniel Cabrera
Christopher P Nickson
Damian Roland
Elissa Hall
Felix Ankel
author_sort Daniel Cabrera
collection DOAJ
description Current health professions education (HPE) institutions are based on an assembly-line hierarchical structure. The last decade has witnessed the advent of sophisticated networks allowing the exchange of information and educational assets. Blockchain provides an ideal data management framework that can support high-order applications such as learning systems and credentialing in an open and a distributed fashion. These system management characteristics enable the creation of a distributed autonomous organization of learning (DAOL). This new type of organization allows for the creation of decentralized adaptive competency curricula, simplification of credentialing and certification, leveling of information asymmetry among educational market stakeholders, assuring alignment with societal priorities, and supporting equity and transparency.
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spelling doaj.art-2d592395f6da4241a17a6d9bf4cb4a992023-08-28T20:17:31ZengJMIR PublicationsJMIR Medical Education2369-37622022-01-0181e2877010.2196/28770Distributed Autonomous Organization of Learning: Future Structure for Health Professions Education InstitutionsDaniel Cabrerahttps://orcid.org/0000-0002-5891-0459Christopher P Nicksonhttps://orcid.org/0000-0002-6968-3087Damian Rolandhttps://orcid.org/0000-0001-9334-5144Elissa Hallhttps://orcid.org/0000-0003-2617-6517Felix Ankelhttps://orcid.org/0000-0002-7329-5095 Current health professions education (HPE) institutions are based on an assembly-line hierarchical structure. The last decade has witnessed the advent of sophisticated networks allowing the exchange of information and educational assets. Blockchain provides an ideal data management framework that can support high-order applications such as learning systems and credentialing in an open and a distributed fashion. These system management characteristics enable the creation of a distributed autonomous organization of learning (DAOL). This new type of organization allows for the creation of decentralized adaptive competency curricula, simplification of credentialing and certification, leveling of information asymmetry among educational market stakeholders, assuring alignment with societal priorities, and supporting equity and transparency.https://mededu.jmir.org/2022/1/e28770
spellingShingle Daniel Cabrera
Christopher P Nickson
Damian Roland
Elissa Hall
Felix Ankel
Distributed Autonomous Organization of Learning: Future Structure for Health Professions Education Institutions
JMIR Medical Education
title Distributed Autonomous Organization of Learning: Future Structure for Health Professions Education Institutions
title_full Distributed Autonomous Organization of Learning: Future Structure for Health Professions Education Institutions
title_fullStr Distributed Autonomous Organization of Learning: Future Structure for Health Professions Education Institutions
title_full_unstemmed Distributed Autonomous Organization of Learning: Future Structure for Health Professions Education Institutions
title_short Distributed Autonomous Organization of Learning: Future Structure for Health Professions Education Institutions
title_sort distributed autonomous organization of learning future structure for health professions education institutions
url https://mededu.jmir.org/2022/1/e28770
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