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Unit 11C: Data Quality Attributes Data Quality Improvement This material was developed by Johns Hopkins University, funded by the Department of Health.

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Presentation on theme: "Unit 11C: Data Quality Attributes Data Quality Improvement This material was developed by Johns Hopkins University, funded by the Department of Health."— Presentation transcript:

1 Unit 11C: Data Quality Attributes Data Quality Improvement This material was developed by Johns Hopkins University, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information Technology under Award Number IU24OC000013.

2 Data Quality Attributes Definition Accuracy Accessibility Comprehensiveness Consistency Currency Timeliness Granularity Precision Relevancy Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 2

3 Consistency of Data Value of the data should be reliable and the same across applications Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 3

4 Consistency of Data Example: Patients are asked about allergies at almost all health care encounters and by multiple providers. The reply can differ based on how the question is phrased. Standardizing the question and providing guidelines for recording the answer can improve the consistency of documentation of allergy status. Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 4

5 Consistency of Data Key process recommendations: Reach consensus on gold standards or data owners of each major data type. Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 5

6 Data Quality Attributes Definition Accuracy Accessibility Comprehensiveness Consistency Currency Timeliness Granularity Precision Relevancy Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 6

7 Currency of Data Up-to-date or reflective of the current state Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 7

8 Currency of Data Example: Health plans & providers will be required to fully transition from ICD-9-CM to ICD- 10-CM in 2013. Changes must be made to accommodate this requirement. If providers query data for a time frame prior to the transition, they need to ensure that they are using the appropriate definition for the time frame of extraction. Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 8

9 Currency of Data Key process recommendation: Provide definitions for the currency of each type of data. Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 9

10 Data Quality Attributes Definition Accuracy Accessibility Comprehensiveness Consistency Currency Timeliness Granularity Precision Relevancy Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 10

11 Timeliness of Data Available when needed Useful in the context of the time data used Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 11

12 Timeliness of Data Example: An electronic tracking system was implemented to record actual locations of hospitalized patients. As the tracking system is interfaced with other clinical and ancillary computer systems, more frequent updates are processed to provide timely patient location data. Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 12

13 Timeliness of Data Key process recommendations: Establish standards/policies for the timeliness of the data collected and stored in relation to key events. Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 13

14 Data Quality Attributes Definition Accuracy Accessibility Comprehensiveness Consistency Currency Timeliness Granularity Precision Relevancy Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 14

15 Granularity of Data Attributes and values at the correct level of detail AHIMA, 2006 Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 15

16 Granularity of Data Example: Medications dosages can include a wide variety of dose expressions, many of which include decimals. Data fields used for medication dose orders and medication administration records should include the use of a leading zero, proper decimal places, and dose increments designed to maximize medication safety. Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 16

17 Granularity of Data Key process recommendations: Agree on the hierarchy of the data granularity. Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 17

18 Data Quality Attributes Definition Accuracy Accessibility Comprehensiveness Consistency Currency Timeliness Granularity Precision Relevancy Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 18

19 Precision of Data Sufficient detail to allow repeated measures to yield the same result under unchanged conditions Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 19

20 Precision of Data Example: A primary care provider wants to implement improvements in his/her practice related to weight screening and follow-up. Changes are made in the electronic health record to prompt for actual height and weight, automatically calculate the body mass index (BMI) and to set-alerts when BMI is an a rang that requires further action or follow-up. Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 20

21 Precision of Data Key process recommendations: Define data ranges and categories that are needed to support the organization’s mission and objectives. Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 21

22 Data Quality Attributes Definition Accuracy Accessibility Comprehensiveness Consistency Currency Timeliness Granularity Precision Relevancy Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 22

23 Relevancy of Data Data are meaningful or applicable to the performance of the process or use for which they are collected Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 23

24 Relevancy of Data Example: A multi-specialty medical practice group implemented an electronic health record that provides a number of reports, including a clinical summary. After two months of use, the members identify standard report elements, and allow each provider to customize the report to include elements pertinent to their specialty. Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring 2011 24

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