yes big data is a big deal
play

Yes Big Data is a Big Deal! The Importance of Primary Care Data in a Learning Health System Richard Birtwhistle MD MSc FCFP Declaration I have received research funding for CPCSSN from CIHR, PHAC, Canadian Frailty Network, CIMVHR, Calian

0 downloads 3 Views 3,61 MB Size Report
  1. Yes Big Data is a Big Deal! The Importance of Primary Care Data in a Learning Health System Richard Birtwhistle MD MSc FCFP

  2. Declaration I have received research funding for CPCSSN from CIHR, PHAC, Canadian Frailty Network, CIMVHR, Calian Canada, Shire Canada, Eli Lilly Canada, Merck Canada and Pfizer Canada

  3. Objectives 1. Understand that data is fundamental to a learning health system. 2. Provide an overview of the CPCSSN. 3. Examples of CPCSSN data use for practice quality improvement, research and surveillance and health system use.

  4. Learning Health Systems 2012 IOM Recommendations 1. Digital Infrastructure 2. Data Utility 3. Clinical Decision Aids

  5. Primary Care 10 Building Blocks of High-Performing Primary Care T Bodenheimer et al Ann Fam Med March 2014

  6. Finding the Missing Link for Big Biomedical Data Weber GM, Mandl KD and Kohane IS, JAMA.2014;311(24):2479-2480

  7. Unique pan- Canadian primary care database The Canadian Primary Care Sentinel Surveillance Network: 1.8 million Canadian patients • 1300 practices • 12 PBRNs in 7 provinces, 1 territory • Some EMR data back to 2003 • Started in 2008 • $12.5M funding from PHAC • Strong partnerships with College of Family • Physicians of Canada, Queen’s and other Universities B.C. ( BCPCReN), Alberta (SAPCReN, NAPCReN), NWT, Manitoba (MaPCReN), Ontario (DELPHI, UTOPIAN, EON, MUSIC, ) , Quebec (RRSPUM) , Nova Scotia/New Brunswick (MaRNet), Newfoundland (APBRN)

  8. CPCSSN Data 8 • Provider profile • Patient socio-demographics • Disease/ health condition • Encounter data • Risk factor data • Examination data • Medications • Laboratory data • Referral data • Procedure data

  9. Uses of the Data

  10. Research

  11. Risk Ratios for VZV by select disease status Variable With Without Unadjusted Age-sex adjusted Zoster (n) Zoster (n) 95% CI 95% CI RR Lower Upper RR Lower Upper No indication of 3343 470407 Reference Reference diagnoses of interest* With Diabetes 1210 60950 2.73 2.55 2.92 1.27 1.19 1.37 With COPD 521 22546 2.87 2.57 3.21 1.24 1.10 1.39 With any 1454 73947 3.57 3.29 3.86 1.60 1.47 1.74 Neoplasm With HIV/AIDS 48 1418 6.13 4.16 9.01 4.34 2.95 6.38 * Patients who have no indication of Diabetes, COPD, Hypertension, Depression, Osteoarthritis, Dementia, Epilepsy, Parkinsonism, any Neoplasm, or HIV/AIDS.

  12. Research

  13. Uses of the Data Data Linkage

  14. Data Linkage

  15. Results Level of HbA1c and hospital and emergency room utilization Variable A1c <7 7-8 >8 Missing P value level N 5526 2662 1814 2356 Age (yr) Mean 65.7 64.7 58.1 61.0 <.001 Female % 50.1 47 45.4 50.3 <.001 Any acute % 1.9 3.1 6.0 - <.001 complication Any chronic % 2.1 3.3 3.8 - <.001 complication ER visits Mean 0.63 0.67 0.95 - <.001 Inpatient Mean 0.18 0.22 0.26 - <.001 episodes ADGs 6.39 6.15 5.98 6.35 <.001

  16. Uses of the Data

  17. Examples Frailty

  18. Examples Post Traumatic Stress Disorder

  19. Research Identification of Patients with Rare Disease in Electronic Medical Records Mucopolysaccharidosis Type II Detection by Naïve Bayes Classifier: an Example of Patient Classification for a Rare Disease Using Electronic Medical Records Authors Behrouz Ehsani-Moghaddam (PhD) 1 ,John A. Queenan (PhD) 1 , Jennifer MacKenzie (MD) 2 , Richard V. Birtwhistle (MD, MSc) 1

  20. Uses of the Data

  21. DPT CPCSSN Data Presentation Tool

  22. DPT Dashboard

  23. DPT Case Finder

  24. Custom Searches

  25. GIS mapping

  26. Cautions § EMR data is difficult to work with § Need for continuous quality monitoring § Cost of data access § Data Privacy

  27. Summary

  28. Yes Big Data is a Big Deal!

  29. CPCSSN Partner Universities

  30. 30

Recommend Documents


61a lecture 35
61A Lecture 35 ! cant deal with huge

Last time: sequential data and iterators Sequences ! The sequence abstraction

roosevelt s new deal
Roosevelt's New Deal Mr. Venezia

Roosevelt's New Deal Mr. Venezia Roosevelt's New Deal 1 Election of 1932

6 happy days are here again fdr and the new deal 6 1 fdr
6. "Happy Days Are Here

6. "Happy Days Are Here Again": FDR and the New Deal 6.1 FDR and

big data analytics what is big data
Big Data Analytics: What is Big Data?

Big Data Analytics: What is Big Data? H. Andrew Schwartz Stony Brook

big data analytics what is big data
Big Data Analytics: What is Big Data?

Big Data Analytics: What is Big Data? Stony Brook University CSE545, Fall

the green deal
The Green Deal Tracy Vegro Director,

The Green Deal Tracy Vegro Director, Green Deal Contents 1. Introducing the

solving the high dimensional vlasov equation with deal ii
Solving the high-dimensional Vlasov

Solving the high-dimensional Vlasov equation with deal.II and hyper.deal

multiple nested reductions of single data modes as a tool
Multiple Nested Reductions of Single

Multiple Nested Reductions of Single Data Modes as a Tool to Deal with Large

deal activity 2006 2006
Deal Activity - - 2006 2006 7,000

2007 Multifamily Market: Review and Assessment Aubrey L. Layne, Jr.

big data so what s the big deal
Big Data so whats the big deal? Jevin

Big Data so whats the big deal? Jevin West Information School, University of

adult social care asc prevention offer
Adult Social Care (ASC) Prevention

Adult Social Care (ASC) Prevention Offer Updated following consultation

palliative care 101 green lake and waushara rural
Palliative Care 101 Green Lake and

Palliative Care 101 Green Lake and Waushara Rural Palliative Care Coalition

psychosocial therapies for parkinson s related dementias
Psychosocial therapies for

Psychosocial therapies for Parkinsons-related dementias Iracema Leroi

this is your brain on hearing aids amp auditory training
This is Your Brain on Hearing Aids

This is Your Brain on Hearing Aids & Auditory Training Harvey B. Abrams,

evidence based practice tools for practicing clinicians
Evidence-Based Practice Tools for

Evidence-Based Practice Tools for Practicing Clinicians - Transcript [MM:SS]

gt gt welcome to cdc public health grand rounds year in
>> Welcome to CDC Public Health

>> Welcome to CDC Public Health Grand Rounds Year In Review. Every Grand

the safety of innovative
THE SAFETY OF INNOVATIVE MEDICAL

PATIENTS AS PARTNERS FOR THE SAFETY OF INNOVATIVE MEDICAL DEVICES Nicola

sample portfolio rubric 4 th grade student
Sample Portfolio Rubric, 4 th Grade

Rachel Schles NCDB 7/18/2018 Handout 2 Page 1 of 6

blind visually impaired
Blind/Visually Impaired Silvia Ludena

Blind/Visually Impaired Silvia Ludena Veronica Sarabia Katie Stoddard Huong

presentation
PRESENTATION 3 - 4 MAY 2017 EDMOS

PRESENTATION 3 - 4 MAY 2017 EDMOS MTETWA (PhD) SENIOR LECTURER UNIVERSITY OF

cutaneous malignancies presentation
Cutaneous Malignancies: Presentation

Cutaneous Malignancies: Presentation and Outcome in a Plastic Surgical Unit

public health and witchcraft beliefs an overview
Public Health and Witchcraft Beliefs:

Public Health and Witchcraft Beliefs: An Overview Presentation by Gary