Environmental Science w Non-Profit research & activism around public space use in Toronto w PhD Computational Biology Modeling population dynamics for conservation McGill University
Data Science* into clinical and operational processes and workflows to deliver better outcomes at lower cost. * Machine Learning, data visualization, computational simulation, AI, etc.
truth’ ICD code) Patient Encounters Diagnoses (non-valve disease) Labs Etc. Input data Time Input data Positive Case Negative Case No encounters with diagnosis of Valve Disease (‘ground truth’ ICD code) Clinical Example
dynamic systems Allows you to experiment with ‘what if’ scenarios and to select from alternative actions. ‘Writing down’ the hypothesized system dynamics also sharpens understanding and assumptions. (Chivers, 2014)
explore efficiency gains • Build optimized scheduling templates • Test process changes to drive clinical workflow redesign • Identify bottlenecks w We’ve created digital twins to support Emergency Department and OB/GYN clinic operations Patient Volume Minute Census Wait Times OB/GYN Simulated Output Computational Simulation
consultation to ensure the care team understands their goals and desires https://www.pennmedicine.org/news/news-blog/2018/june/palliative-connect-digitizing-the-physicians-intuition-to-prompt-critical-conversations Palliative Connect
is particularly challenging – Non-random missingness – Largely unstructured – Clinical concepts and their representations change over time w How good does the model need to be? • We use meta decision theory to decide whether the model makes better decisions than some alternative w How do we know it’s working? • When you’re trying to prevent the thing you’re predicting, is your prediction bad or your intervention good?
Scientist: Finally, I built a model from the data! Doc: Awesome, is it good? Data Scientist: I used tensorflow, so, ya. Doc: Lets deploy this thing!* *Any resemblance between these fictional characters and any persons, living or dead, is a purely coincidental
Scientist: Finally, I built a model from the data! Doc: Awesome, is it good? Data Scientist: I used tensorflow, so, ya. Doc: Lets deploy this thing!* *Any resemblance between these fictional characters and any persons, living or dead, is a purely coincidental
to avoid bad outcome) Predicted Sepsis Treated a false case (unnecessary) Predicted No Sepsis Didn’t treat (all good) Predicted No Sepsis Failed to treat (Bad outcome)
($) Treat all Pregnancy Related Hypertension (PRH) is the leading cause of maternal morbidity and mortality in the U.S. High-risk patients à remote blood pressure monitoring https://healthcareinnovation.upenn.edu/projects/heart-safe-motherhood
Science into clinical and operational workflows to improve healthcare quality w Data Science is a collaborative, multidisciplinary endeavor • Using data to make better decisions • There are many paths to becoming a data scientist! w Taking time to ensure you’re solving the right problem is essential