Health Care Data Quality

1. Health Care Data Quality Chapter 2 Health Care Information Systems: A Practical Approach for Health Care Management 2nd Edition Wager ~ Lee ~ Glaser

2. Learning Objectives Discuss the relationship between health care data and health care information. Identify problems associated with poor quality health care data. Define the characteristics of data quality. Discuss the challenges associated with measuring and ensuring health care data quality. Health Care Information Systems: A Practical Approach for Health Care Management 2nd Edition Wager ~ Lee ~ Glaser

3. Outline Data vs. Information Problems with poor quality data Ensuring Data Quality Data Errors Using IT to improve Data Quality Health Care Information Systems: A Practical Approach for Health Care Management 2nd Edition Wager ~ Lee ~ Glaser

4. Data vs. Information • Information is processed data • Health care information is processed health care data • Knowledge is a “combination or rules, relationships, ideas, and experience” (Johns, 1997) Health Care Information Systems: A Practical Approach for Health Care Management 2nd Edition Wager ~ Lee ~ Glaser

5. From Data to Knowledge Health Care Knowledge Processing Health Care Information Health Care Data Health Care Information Systems: A Practical Approach for Health Care Management 2nd Edition Wager ~ Lee ~ Glaser

6. Problems of Poor Quality Data • Diminished quality of Patient care data can lead to problems with • Patient care • Communication among providers & patients • Documentation • Reimbursement • Outcomes assessment • Research Health Care Information Systems: A Practical Approach for Health Care Management 2nd Edition Wager ~ Lee ~ Glaser

7. Problems of Poor Quality Data • Medical Record Institute cites problems with (MRI, 2004) • Patient Safety • Public Safety • Continuity of Patient Care • Health Care Economics • Clinical Research and Outcomes Health Care Information Systems: A Practical Approach for Health Care Management 2nd Edition Wager ~ Lee ~ Glaser

8. Ensuring Data/Information Quality • Medical Record Institute Principles of Health Care Documentation (MRI, 2004) • Unique Patient Identification within and across systems • Health care documentation must be • Accurate and consistent • Complete • Timely • Interoperable across systems • Accessible • Auditable • Confidential and secure authentication and accountability must be provided Health Care Information Systems: A Practical Approach for Health Care Management 2nd Edition Wager ~ Lee ~ Glaser

9. Ensuring Data/Information Quality MRI takes the position that when practitioners interact with electronic resourcesthey have an increased ability to meet the these guidelines. Health Care Information Systems: A Practical Approach for Health Care Management 2nd Edition Wager ~ Lee ~ Glaser

10. Ensuring Data/Information Quality AHIMA Data Quality Management Model: Data Characteristics • Accessibility • Consistency • Currency • Granularity • Precision • Accuracy • Comprehensiveness • Definition • Relevancy • Timeliness Health Care Information Systems: A Practical Approach for Health Care Management 2nd Edition Wager ~ Lee ~ Glaser

11. Health Care Information Systems: A Practical Approach for Health Care Management 2nd Edition Wager ~ Lee ~ Glaser

12. Data Errors Systematic Random Health Care Information Systems: A Practical Approach for Health Care Management 2nd Edition Wager ~ Lee ~ Glaser

13. Causes of Poor Quality Data (Arts, DeKeizer & Schaffer, 2002) Health Care Information Systems: A Practical Approach for Health Care Management 2nd Edition Wager ~ Lee ~ Glaser

14. Activities for Improving Data Quality (Arts, DeKeizer & Schaffer, 2002) • Data Error Prevention • Compose a minimum set of necessary data items • Define data and data characteristics in a data dictionary • Develop a data collection protocol • Create user friendly data entry forms or interface • Compose data checks • Create a quality assurance plan • Train and motivate users Health Care Information Systems: A Practical Approach for Health Care Management 2nd Edition Wager ~ Lee ~ Glaser

15. Activities for Improving Data Quality (Arts, DeKeizer & Schaffer, 2002) • Data Error Detection • Perform automatic data checks • Perform data quality audits • Review data collection protocols and procedures • Check inter- and intraobserver varability (if appropropriate) • Visually inspect completed forms (online or otherwise) • Routinely check completeness of data entry Health Care Information Systems: A Practical Approach for Health Care Management 2nd Edition Wager ~ Lee ~ Glaser

16. Activities for Improving Data Quality (Arts, DeKeizer & Schaffer, 2002) • Actions for Data Quality Improvement • Provided data quality reports to users • Correct inaccurate data and fill in incomplete data detected • Control user correction of data errors • Give feedback of data quality results and recommendations • Resolve identified causes of data errors • Implement identified system changes • Communicate with users Health Care Information Systems: A Practical Approach for Health Care Management 2nd Edition Wager ~ Lee ~ Glaser

17. Using IT to Improve Data Qaulity • EMRs improve legibility and accessibility • Structured data input improves data comprehensiveness, relevance and consistency • Many EMRs DO NOT require structured data input Health Care Information Systems: A Practical Approach for Health Care Management 2nd Edition Wager ~ Lee ~ Glaser

18. Summary • Data vs. Information • Problems of Poor Quality Data • Ensuring Data/Information Quality • MRI Guidelines • AHIMA Characteristics • Types Data Errors • Causes of Poor Quality Data • Activities for Improving Data Quality • Using IT to Improve Data Quality Health Care Information Systems: A Practical Approach for Health Care Management 2nd Edition Wager ~ Lee ~ Glaser