Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee.

Using CPCSSN data for predictive analytics at

point-of-care

Karim VassanjiKarim Keshavjee

Faculty/Presenter Disclosure

• Faculty: KARIM VASSANJI

• Nothing to disclose

CFPC CoI Templates


Are Primary Care Physicians Practicing

High Definition Medicine Using Black And White Technology?


The EMR landscape in primary care in Canada


The EMR landscape

in primary care

Designed for Record Keeping

Structured Data Unstructured Data

Some Capability for Patient Population Management

Reminders Queries

Require Clean Data


Can We Manage Patient Populations with EMRs?


Managing patient

populations with EMRs

Difficult and Imprecise False positives False negatives

Reminders and Queries Alert Fatigue Slows Down EMR

Dirty Data


Potential Solutions?


Pan Canadian Initiativ

e

Extracts EMR data from 10 different EMRs

Case finding algorithms Cleaning algorithms Statistical De-

identification

Structured database

Available for research

De-identified data

Paper reports sent to Physicians


EMR 1

EMR 2

EMR n


Could CPCSSN Bring Some Color To High Definition Primary Care Medicine?


Patient Encounters Providers

Vitals Health Card

Meds Labs Proc Referrals Allergies Vaccines

Current CPCSSN dataset

structure needs to be

transformed to support advanced

analytics


The transformation…


Data Transformation

CPCSSNAnalytics Database


Predictive Analytics 101


Regression Models Linear Regression Logistic Regression Multinomial Logistic

Regression Time Series Models Survival Analysis Multivariate Adaptive

Regression Splines Machine Learning Neural Networks Radial Basis Functions Support Vector Machines

Angoss Knowledge Studio Predixion KXEN Modeler TIBCO Spotfire SAS SPSS



The sequence…


Identify patient profiles which need urgent

attention

Develop custom programs

to address issues

Predictive Analytics Tools

• Drivers of cost• High risk for readmission• Multiple co-morbidities • ...


1st STEP


Identify clinics which can benefit

from custom programs

Submit programs

and eligibility criteria to clinics


2nd STEP


Re-identify CPCSSN

dataset to their EMR equivalent

Identify patients who are eligible

for programs

Provide clinics

with their portion of the CPCSSN dataset


3rd STEP

Develop and

implement action plans


One size fits all?!


Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee.

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Transcript of Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee.