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???