1. Using Data to Drive Care Team Transformation
Gabrielle Langlinais and Kim Baker

2. Why collect data? Measure of quality Personal needs of your practice
Referring practices
Contract obligations
Hospital partners
Insurance contracts
Personal needs of your practice
To participate in the Merit-based Incentive Payment System (MIPS)

3. Sources of data Electronic Health Record (EHR)
Many have data metrics
Picture Archiving and Communication System (PACS)
Mammography Reporting System (MRS)
National database
National Radiology Data Registry (NRDR)
Scheduling data
Radimetrics
CT radiation dose data
Qualtrics
Collection of patient satisfaction surveys

4. Collecting and comparing data
Picture Archiving and Communication System (PACS)
Data Analytic Software (Montage)
Search radiology reports for keywords

5. PACS data
Critical result communication (pneumothorax, intracranial hemorrhage)
Is there documentation of communication to ordering caregiver?
Appropriateness of recommendations (recommend correlation with CT)
Are recommended tests really necessary?
Addendums
Quality metric for radiologists

6. Radiology
Circle of
Tests
gomerblog.com

7. Mammography Reporting System
Database to track mammography recommendations and follow-up
Are patients getting their follow-up tests?
Are patients returning for their routine screening?

8. Collecting and comparing data
Qualified Clinical Data Registry (QCDR)
American College of Radiology (ACR)
National Radiology Data Registry (NRDR)

9. National database National Radiology Data Registry (NRDR)
Dose Index Registry (DIR)
Collects CT radiation dose and compares to other practices
National Mammography Database Registry (NMD)
Benchmarking regarding
Cancer detection rates
Positive predictive value rates
Recall rates

10. RIA TCPi data project RIA Clinical review team Started 2011
Reviews scheduled exams to ensure proper test is ordered
Saves patient:
Time
Money
Radiation dose
For each referring practice, RIA has collected data on the examination requests that are altered
Data collected from scheduling database
Data available for a TCPi project!

11. CT Abdomen and Pelvis Do It Right the First Time
One of the most frequently altered exam requests
CT abdomen and pelvis (with and without contrast → with contrast only)
Potential for quality improvement project
Collect data
Educate practice re: proper indications for contrast
Collect and report on data following education

12. Using data to drive clinical care
Quantify number of pediatric cases read by pediatric radiologists
Led to scheduling changes and over-read of pediatric cases performed after hours
Recommended exams
Number of recommended exams not in excess of national benchmarks
Addendums
Number in keeping with scores from random peer review
Not excessive for any single radiologist

13. What Data should I collect, and why?

14. Support and Alignment Networks (SANs) partnered with CMS
American College of Emergency Physicians
American College of Physicians, Inc.
HCD International, Inc.
Patient Centered Primary Care Foundation
The American Board of Family Medicine, Inc.
Network for Regional Healthcare Improvement
American College of Radiology
American Psychiatric Association
American Medical Association
National Nursing Centers Consortium

15. Practice Transformation Networks Partnered with CMS
Arizona Health-e Connection
Baptist Health System, Inc.
Children's Hospital of Orange County
Colorado Department of Health Care Policy & Financing
Community Care of North Carolina, Inc.
Community Health Center Association of Connecticut, Inc.
Consortium for Southeastern Hypertension Control
Health Partners Delmarva, LLC

16. Resources QPP MIPS TCPi and SANs https://qpp.cms.gov/learn/getprepared
TCPi and SANs

17. Resources CMS approved QCDRs MIPS and Data MIPS Scoring
MIPS and Data
MIPS Scoring

18. Grazie mille