GETTING PHYSICIANS ON BOARD WITH PAY FOR PERFORMANCE

Transcription

1 doing the impossible with Diver GETTING PHYSICIANS ON BOARD WITH PAY FOR PERFORMANCE Colby Lutz Business Intelligence Analyst Western Maryland Health System Connect:

2 NICE TO MEET YOU User for 3 years Front to back data analyst, process engineer Programming background, not clinical Hired to build Business Intelligence program from the ground up Administrator of Executive Dashboards/PPA/Meaningful Use/GL

3 ABOUT WMHS New facility opened in 2009 in Cumberland, MD 275 Beds, combination of two hospital campuses Serves Maryland, West Virginia, and Pennsylvania Cultural Change to Data Driven Organization under Total Patient Revenue (Value based care) Formed Trivergent Health Alliance MSO in 2014 Distinguished Achievement in Patient Safety Innovation Award from the Maryland Patient Safety Center Living the Vision Award from the American Hospital Association Necessary for users to have a self-service data access solution

4 DEFINING THE PROJECT

5 OUR GOAL All inclusive physician scorecard Needed OPPE measures localized and processes simplified Combine all current automated and manual reports related to physicians Budget concerns, pay for performance physician, overall performance improvement metrics led charge for change Director Medical Staff Services, Director Quality Initiatives, CMO and Performance Improvement all key players Concern of data governance/data integrity across systems

6 THE CHALLENGE Physicians didn t use previous system: didn t trust the numbers Data integrity issues with coding Need to report OPPE measures every 8 months Sign off on physician credentialing Offsite data was not readily available, not available on time Needed to integrate data from several sources

7 SOLUTION Past success with DI led us to pursue PPA Users already comfortable with functionality Objective Create an integrated, customizable system to fit our needs Expandable and editable with changes in reporting requirements Benchmarked data for targets Comparison data for Pay for Performance Diveable to prove data integrity to physicians and users

8 THE PPA SOLUTION

9

10 HOW WE DID IT Utilized weekly meeting with Medical Staff Services, Quality, PI, Physician Management Defined Measure, data source, target, contact person, and Physician Specialty related Set up extraction processes from outside vendors Healthsteam, Press Ganey, Verge, Premier, 3M, Meditech Scripted onsite data extraction Worked with users to automate and format their data collection Validation with data owners Benchmarks adjusted and targets set Training was provided to users and Physicians

11 WHAT WAS THE BENEFIT? Physician/Executive buy in They trust the numbers New surge from executive management to get physicians on board Self service/familiar system functionality makes users comfortable Data collection for most users has been automated Users who were unaware of DI capabilities prior now have several reports available inside and outside of PPA Several clinical users no longer manually collecting any data Can now focus on decision making or patient care Physician Credentialing and OPPE reporting requirements are met One stop shop for all physician related data Directs attention to points of care opportunities Highlights issues at Physician, Specialty, and Hospital level Provides comparative analysis

12 OUR RESULTS Significant time savings Medical Staff Services - ~2 hours per week Medical Records - ~10 hours per week Clinical Reporting - ~10 hours per week Opportunities to streamline other processes presented Order Set Usage (CPOE) Radiology TATs Expected LOS Physician Denials Medical Record Dictation Audits

13 LESSONS LEARNED Keep data systems consistent Too many of our systems didn t have clean/accurate data Avoid duplicate documentation when possible Fix problems at the source; Don t patch fix If there is an issue with the data, get it corrected in the system, rather than accounting for it in reporting Use templates for requested information We had 20 different reports in 20 different formats Set expectations for stakeholders/end users

14 WHERE WE GO FROM HERE Expectation of Phase 2 Add additional measures to specialties Possible additional time frame comparisons Additional Physician Access/Training Sessions Implement the Bridge Users need one link to access all DI Identify and develop a means to script print scorecards Make OPPE Data Diveable Automate more user gathered data Time constraints restricted upfront automation

15 SCREENSHOTS & QUESTIONS

16

17

18

19

20

21

22

23

24

25

26 doing the impossible with Diver THANK YOU Colby Lutz Business Intelligence Analyst Western Maryland Health System Connect: