1. HS420 Health Informatics Michele Smith, PharmD, RPh, RCph Unit Seven Data Quality Tools

2. AGENDA Looking Back at Unit 6 Unit Topics Looking Ahead Reading Tips Discussion Tips Project Tips Writing Assignment Tips Quiz Tips Interactive Discussion Summary Questions

3. A Peak Back at Unit 6 Reading assignments: –Medical Informatics 20/20, Chapters 8, 9 and 10 –AHIMA articles on requests for proposal and EHR implementations Discussion on EHR Implementations Writing assignment on the Information Systems Life Cycle

4. Unit 7 Topics Assessing EHR Data Quality The Data Quality Management Model The Need for Quality Improvement The Collaboration Strategy for Quality Management Process Improvement Strategies Clinical Decision Support and Evidence-Based Medicine Case Studies in Collaboration and Innovation for Quality Value Measurements and the Effect on Quality

5. Reading Tips Medical Informatics 20/20 –Chapter 11: Universal Strategies and Tactics for Quality and Performance Excellence –Chapter 12: Case Studies in Collaboration and Innovation for Quality –Chapter 13: Value Measurement and Return on Investment AHIMA Practice Briefs: –Assessing and Improving EHR Data Quality –Managing and Improving Data Quality –Data Quality Management Model AHIMA Journal Article: –Quality Data and Documentation for EHRs in Physician Practice

6. Discussion Tips Review the data quality management model. How can this be used to help improve data quality? How can it be used to help manage an EHR implementation? Why is collaboration important? How can collaboration improve healthcare data quality? What tools can be used to help encourage collaboration?

7. Project Tips Develop a formal policy and procedure for the HIM department at your facility to use to manage data quality in the EHR. It does not need to be comprehensive but can focus in a specific area of data quality of your choice that is part of the data quality management model.

8. Writing Assignment Tips Review the Data Quality Management Model. Write a one-page synopsis describing the tools and procedures that can be used to ensure that an Electronic Health Record contains quality data.

9. Quiz Tips Data Outcome Initiatives Data Characteristics or elements of data quality or dimensions in data quality (data consistency, data comprehensiveness, etc.) Clinical Decision Support System (two types) SDLC Data Warehouse Consumer-centric Application (PHR) Data Quality Management Model Revenue Cycle and Data Accuracy Explicit and Tacit Knowledge used for healthcare quality Four levels of ROQ and ROI Analysis

10. Data Quality Tools Lecture

11. Six Aims for Improvement Safe Effective Patient-Centered Timely Efficient Equitable

12. Tactical Areas Leadership and Open Collaboration Public-Private Collaboration Knowledge Management

13. Innovation Strategies Process Improvement Innovation Methodologies Applied Knowledge

14. Methodology for Improving Existing Processes Define Measure Analyze Improve Control

15. Collaborative Innovation Coordination Cooperation Collaboration Creation Communication

16. Applied Knowledge Clinical Decision Support Evidence-Based Medicine Knowledge on Demand Business Intelligence (BI)

17. Value Measurement and the EHR Pay-for-Performance Value-based Reimbursement Return on Investment (ROI)

18. Value Measurement Return on Quality Reasonability Check Relevance to Institutional Goals ROI Analysis

19. Value and ROI Findings Health Information Exchange and Interoperability EHR Systems Clinical Decision Support Systems and Tools E-Prescriptions Computerized Provider Order Entry (CPOE)

20. EHR Implementation Savings Reduced Transcription Costs Savings for paper-chart-related costs Improved staff efficiency –Coding –Charge Capture –Productivity

21. EHR Data Quality Data Capture Documentation Improvement Documentation Guidelines and Data Standards

22. Data Quality Best Practices Access permissions Data Dictionary Standardized Format State and Federal Laws Data Integrity Policies and Procedures

23. Challenges to Data Quality Master Patient Index (MPI) Current Systems Analysis

24. Checklist to Assess Data Quality Application Collection Warehousing Analysis

25. Summary Assessing EHR Data Quality The Data Quality Management Model The Need for Quality Improvement The Collaboration Strategy for Quality Management Process Improvement Strategies Clinical Decision Support and Evidence-Based Medicine Case Studies in Collaboration and Innovation for Quality Value Measurements and the Effect on Quality

26. QUESTIONS???