TY - JOUR
AU - S. Simkin
AU - C. Damba
AU - B. Farah
AU - R. Frohlich
AU - N. Sava
AU - R. Trainor
AU - I. L. Bourgeault
A1 - 
AB - To make good decisions, health leaders need information about their communities and the health workforce available to meet their needs. Raw data and indicators of population needs and workforce capacity must be transformed into usable intelligence that can support decision-making. Using the case study of integrated primary care workforce planning in Toronto, we outline our workforce planning framework, and with a focus on workforce analysis, describe the inputs and outputs that are needed for planning, key steps in the conversion of data to intelligence, and the impact of the approach. Raw data flow from data partners through a planning model into a six-step workforce analysis that renders the results of data analysis, modelling, synthesis and visualization relevant, and accessible to planners and decision-makers. We highlight important challenges and considerations related to data standardization, comprehensiveness, granularity, accessibility, and timeliness, and envision a system that more effectively supports workforce planning and decision-making.
AD - University of Ottawa, Ottawa, Ontario, Canada.; Canadian Health Workforce Network, Ottawa, Ontario, Canada.; Ontario Health Toronto, Toronto, Ontario, Canada. RINGGOLD: 573450
AN - 41151076
BT - Healthc Manage Forum
C5 - Education & Workforce
CP - 1_suppl
DA - Nov
DO - 10.1177/08404704251365552
DP - NLM
ET - 20251028
IS - 1_suppl
JF - Healthc Manage Forum
LA - eng
N2 - To make good decisions, health leaders need information about their communities and the health workforce available to meet their needs. Raw data and indicators of population needs and workforce capacity must be transformed into usable intelligence that can support decision-making. Using the case study of integrated primary care workforce planning in Toronto, we outline our workforce planning framework, and with a focus on workforce analysis, describe the inputs and outputs that are needed for planning, key steps in the conversion of data to intelligence, and the impact of the approach. Raw data flow from data partners through a planning model into a six-step workforce analysis that renders the results of data analysis, modelling, synthesis and visualization relevant, and accessible to planners and decision-makers. We highlight important challenges and considerations related to data standardization, comprehensiveness, granularity, accessibility, and timeliness, and envision a system that more effectively supports workforce planning and decision-making.
PY - 2025
SN - 0840-4704
SP - S59
EP - s64+
ST - From Data to Intelligence for Health Workforce Planning: Insights From Integrated Primary Care Workforce Planning in Toronto
T1 - From Data to Intelligence for Health Workforce Planning: Insights From Integrated Primary Care Workforce Planning in Toronto
T2 - Healthc Manage Forum
TI - From Data to Intelligence for Health Workforce Planning: Insights From Integrated Primary Care Workforce Planning in Toronto
U1 - Education & Workforce
U3 - 10.1177/08404704251365552
VL - 38
VO - 0840-4704
Y1 - 2025
ER -