Related Experiment Video
Updated: Jan 10, 2026

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
Co-developing an inclusive interprofessional health workforce minimum data standard for enhanced planning and
Katherine Zagrodney1, Dax Bourcier2, Neeru Gupta3
1University of Toronto, Canada.
Background:
Comprehensive and standardized health workforce data are the foundation of more robust planning and evidence-informed decision-making in the face of multiple crises.
Objective:
This paper describes the process, results, and lessons learned in co-developing an inclusive, interprofessional health workforce minimum data standard (MDS) for planning.
Methods:
A four-phase development process was undertaken: 1) we gathered existing data standards through an environmental scan and literature review, from which we synthesized common data elements into modules; 2) we gathered input through collaborator engagement on the suitability of these data elements to address their priority planning questions; 3) we reviewed the retained data elements with information garnered from an ongoing integrated primary care health workforce planning process; 4) collaborating partners provided detailed feedback on the drafted MDS data elements.
Results:
Data elements, their sources and other metadata identified from the scans were synthesized into three modules on health worker capacity, education, and identification. Consultation feedback led to refinements and additional data elements. The retrospective review led to a streamlining of the number elements within each module. Partner feedback led to further refinement, mindful of implementation, including dividing them into a core and supplemental set.
Conclusions:
Co-developing an MDS for planning benefits from building off existing data standards, open and ongoing collaborator engagement for buy-in, and practical considerations balancing adding more data against finding the right data elements to fit planning needs. Although the MDS was developed for a Canadian context, the approach and outputs are transferable to other settings.
More Related Videos
12:18A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
08:13Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion
Published on: January 20, 2019
Related Concept Videos
International Nursing Organizations II
The WHO provides expert team support, including funding, vaccines, testing, and treatment tools at the country level to fight...
Interdisciplinary Care: The Health Care Team-II
Physical Therapist
A physical therapist (PT) aims to restore function or prevent additional impairment in a patient following an injury or disease. Massage, heat, cold, water, sonar waves, exercises, and electrical stimulation are some treatments used by PTs to treat...
Documentation in Long-Term and Home Healthcare Setting
Long-Term Care Facilities
Interdisciplinary Care: The Health Care Team-I
Physicians
The physician's primary responsibility is to diagnose illness and direct the medical or surgical treatment of the condition. The authority to admit patients to a healthcare agency or institution and practice care within that setting is granted to physicians by the healthcare agency or institution...
International Nursing Organizations I
ICN member organizations work to advance the field of nursing and healthcare via policies, partnerships, lobbying, professional...
Methods of Documentation VI: Case Management Model
For example, a patient with a chronic...