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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 Vassanji Karim Keshavjee

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Page 1: 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

Page 2: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

Faculty/Presenter Disclosure

• Faculty: KARIM VASSANJI

• Nothing to disclose

CFPC CoI Templates

Karim VassanjiKarim Keshavjee

Page 3: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

Are Primary Care Physicians Practicing

High Definition Medicine Using Black And White Technology?

Karim VassanjiKarim Keshavjee

Page 4: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

The EMR landscape in primary care in Canada

Karim VassanjiKarim Keshavjee

Page 5: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

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

Karim VassanjiKarim Keshavjee

Page 6: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

Can We Manage Patient Populations with EMRs?

Karim VassanjiKarim Keshavjee

Page 7: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

Karim VassanjiKarim Keshavjee

Page 8: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

Managing patient

populations with EMRs

Difficult and Imprecise False positives False negatives

Reminders and Queries Alert Fatigue Slows Down EMR

Dirty Data

Karim VassanjiKarim Keshavjee

Page 9: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

Karim VassanjiKarim Keshavjee

Page 10: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

Potential Solutions?

Karim VassanjiKarim Keshavjee

Page 11: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

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

Karim VassanjiKarim Keshavjee

Page 12: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

EMR 1

EMR 2

EMR n

Karim VassanjiKarim Keshavjee

Page 13: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

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

Karim VassanjiKarim Keshavjee

Page 14: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

Patient Encounters Providers

Vitals Health Card

Meds Labs Proc Referrals Allergies Vaccines

Current CPCSSN dataset

structure needs to be

transformed to support advanced

analytics

Karim VassanjiKarim Keshavjee

Page 15: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

The transformation…

Karim VassanjiKarim Keshavjee

Page 16: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

Data Transformation

CPCSSNAnalytics Database

Karim VassanjiKarim Keshavjee

Page 17: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

Predictive Analytics 101

Karim VassanjiKarim Keshavjee

Page 18: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

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

CPCSSNAnalytics Database

Karim VassanjiKarim Keshavjee

Page 19: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

The sequence…

Karim VassanjiKarim Keshavjee

Page 20: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

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 • ...

CPCSSNAnalytics Database

1st STEP

Karim VassanjiKarim Keshavjee

Page 21: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

Identify clinics which can benefit

from custom programs

Submit programs

and eligibility criteria to clinics

CPCSSNAnalytics Database

2nd STEP

Karim VassanjiKarim Keshavjee

Page 22: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

Re-identify CPCSSN

dataset to their EMR equivalent

Identify patients who are eligible

for programs

Provide clinics

with their portion of the CPCSSN dataset

CPCSSNAnalytics Database

3rd STEP

Develop and

implement action plans

Karim VassanjiKarim Keshavjee

Page 23: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

Karim VassanjiKarim Keshavjee

Page 24: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

CPCSSNAnalytics Database

Karim VassanjiKarim Keshavjee

Page 25: Using CPCSSN data for predictive analytics at point-of-care Karim Vassanji Karim Keshavjee

One size fits all?!

Karim VassanjiKarim Keshavjee