There are some common topics that come up again and again either within HSMA or across the wider health modelling sphere.
Adapting (and potentially extending) this work for your own organisation could be a good project option.
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Title
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Categories
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Automation and enhancement of highly time-consuming reports
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General Python, Data Visualisation, Streamlit, Quarto
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Conversion of Excel-based tools into code
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General Python, Data Visualisation, Streamlit, Quarto
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Identifying Inequalities in Service Access
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Mapping, Travel Times
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Identifying and resolving bottlenecks in pathways
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Discrete Event Simulation, Streamlit
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Identifying the resource required to clear backlogs in pathways
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Discrete Event Simulation, Streamlit
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Identifying the optimal locations of new services
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Mapping, Travel Times, Location Optimization
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Predicting the number of and likely specialty of patients imminently requiring inpatient beds
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Machine Learning
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Predicting Length of Stay (LOS) to aid in bed capacity planning
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Machine Learning, Explainable AI
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Identifying the optimal service locations(s) to close to minimize the impact of equity of access
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Mapping, Travel Times, Location Optimization
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What-if analysis of pathways/pathway redesign work
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Discrete Event Simulation, Streamlit
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