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Record W3048504190 · doi:10.1007/s40037-020-00604-1

Redesigning continuing professional development: Harnessing design thinking to go from needs assessment to mandate

2020· article· en· W3048504190 on OpenAlexaff
Alexander Chorley, Khalid Azzam, Teresa M. Chan

Bibliographic record

VenuePerspectives on Medical Education · 2020
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsMcMaster UniversityHamilton Health SciencesHealth Sciences Centre
Fundersnot available
KeywordsMandateEngineering ethicsMedical educationProfessional developmentFaculty developmentNeeds assessmentEngineering managementContinuing professional developmentManagement scienceProcess managementComputer scienceMedicineEngineeringPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: The world of medicine is constantly changing, and with it the continuing professional development (CPD) needs of physicians. As the CPD landscape is shifting away from unidirectional delivery of knowledge through live large group learning (conferences) and is placing increased emphasis on new approaches for skills training not taught a decade ago, a new approach is needed. APPROACH: Using design thinking techniques, we hosted a full-day retreat for emergency medicine stakeholders in Hamilton and the surrounding region. Prior to the retreat we collected medico-legal data on emergency physicians in our region and performed a needs assessment survey. At the retreat, we had participants brainstorm ideas for CPD, generate archetypes for end-users, then generate solutions to the problems they had identified. These proposals were presented to the larger group for feedback and refinement. EVALUATION: The Design Thinking Retreat generated five main pillars for action by our CPD team. 1) Simulation/procedural learning (staff simulation, procedural skills day, in situ simulation); 2) Asynchronous learning (website and podcast); 3) Synchronous learning (small group sessions for staff); 4) Community connectivity (online platform for collaboration and communication); and 5) Coaching & mentorship (focused coaching for specific practice improvement, improved onboarding for new staff). REFLECTION: These ideas have vastly increased engagement in CPD. Stakeholder consultation via design thinking may be a key approach for educators to use.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.502
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.375
Teacher spread0.347 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations24
Published2020
Admission routes1
Has abstractyes

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