Data Quality Improvement This material was developed by Johns Hopkins University, funded by the Department of Health and Human Services, Office of the.

Slides:

Advertisements

Similar presentations

MONITORING OF SUBGRANTEES

Advertisements

Data Quality Considerations

Copyright © Healthcare Quality Quest, Proposed standards for a national clinical audit — How we got involved and what we have learned.

Quality Data for a Healthy Nation by Mary H. Stanfill, RHIA, CCS, CCS-P.

Audit of IT Systems SARQA / DKG Scandinavian Conference, October 2002, Copenhagen Sue Gregory.

Fundamentals of Health Information – Week 5

1 presented by: Tim Haithcoat University of Missouri Columbia QA/QC and Risk Management.

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

Documentation for Acute Care

Unit 4: Monitoring Data Quality For HIV Case Surveillance Systems #6-0-1.

Purpose of the Standards

Dimensions of Data Quality M&E Capacity Strengthening Workshop, Addis Ababa 4 to 8 June 2012 Arif Rashid, TOPS.

Unit 11.2b: Data Quality Attributes Data Quality Improvement Component 12/Unit 11 Health IT Workforce Curriculum Version 1.0/Fall

National Standards for Safer Better Healthcare

Component 2: The Culture of Health Care Unit 3: Health Care Settings— The Places Where Care Is Delivered Lecture 3 This material was developed by Oregon.

WWLC Standard Operating Procedures Presented by Frank Hall, Laboratory Certification Coordinator.

Individual Roles and Team Mission

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

Cost Principles – 2 CFR Part 200 Subpart E U.S. Department of Education.

How Hospitals Protect Your Health Information. Your Health Information Privacy Rights You can ask to see or get a copy of your medical record and other.

Coding Compliance Plan July 12, Benefits of a compliance program  To demonstrate our commitment to honest and responsible conduct, decrease the.

Certification and Accreditation CS Phase-1: Definition Atif Sultanuddin Raja Chawat Raja Chawat.

This material was developed by Duke University, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information.

United States Department of Agriculture Food Safety and Inspection Service February William C. Smith Assistant Administrator Office of Program.

Copyright © 2008 Delmar Learning. All rights reserved. Unit 8 Observation, Reporting, and Documentation.

Component 11/Unit 8b Data Dictionary Understanding and Development.

PSO Overview for Executives (Presenter) (Date) Center for Patient Safety Toolkit for PSO Participation, Section 4.

School of Health Systems and Public Health Monitoring & Evaluation of HIV and AIDS Programs Data Quality Wednesday March 2, 2011 Win Brown USAID/South.

This material was developed by Oregon Health & Science University, funded by the Department of Health and Human Services, Office of the National Coordinator.

SMS Planning.  Safety management addresses all of the operational activities of the entire organization.  The four (4) components of an SMS are: 1)

Component 3-Terminology in Healthcare and Public Health Settings Unit 15-Overview/ Introduction to the EHR This material was developed by The University.

Working in Teams: Unit 3 Initial Tools for Teaming: Ground Rules and Action Plans for HIT Teams This material was developed by Johns Hopkins University,

This material was developed by Duke University, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information.

School of Health Sciences Week 8! AHIMA Practice Briefs Healthcare Delivery & Information Management HI 125 Instructor: Alisa Hayes, MSA, RHIA, CCRC.

Component 8 Installation and Maintenance of Health IT Systems Unit 4 Structured Systems Analysis and Design This material was developed by Duke University,

PSO Overview for (name of organization’s) PSES Workgroup (Presenter) (Date) 1 **For internal use by Center for Patient Safety PSO Participants. May not.

© 2010 Health Information Management: Concepts, Principles, and Practice Chapter 5: Data and Information Management.

Chapter 7: Indexes, Registers, and Health Data Collection

CHART ROUND As an educational program?. …Chart Round Chart: to follow or record sth carefully and in detail. Round: a regular series of visits.

Unit 10: Measuring Patient Safety This material was developed by Johns Hopkins University, funded by the Department of Health and Human Services, Office.

Quality Improvement HIT Design to Support Teamwork and Communication Lecture c This material (Comp12_Unit7c) was developed by Johns Hopkins University,

File that defines the basic organization of a database. Contains a list of all files in the database number of records in each file Names and types of.

This material was developed by Oregon Health & Science University, funded by the Department of Health and Human Services, Office of the National Coordinator.

Unit 11.2a: Data Quality Attributes Data Quality Improvement Component 12/Unit 11 Health IT Workforce Curriculum Version 1.0/Fall

Linking the learning to the National Standards for Safer Better Healthcare Joan Heffernan Inspector Manager Regulation – Healthcare Health Information.

Component 6 - Health Management Information Systems Unit 9-2 Administrative, Billing, and Financial Systems This material was developed by Duke University,

Unit 9b: Strategies for Adaptive Work HIT Infecting a Patient Safety Culture This material was developed by Johns Hopkins University, funded by the Department.

Unit 11d: Common Causes of Insufficient Data Quality & Design Recommendation Data Quality Improvement This material was developed by Johns Hopkins University,

Working with HIT Systems Unit 7a Protecting Privacy, Security, and Confidentiality in HIT Systems This material was developed by Johns Hopkins University,

Unit 8a: The Implementation Team HIT Implementation Planning for Quality and Safety This material was developed by Johns Hopkins University, funded by.

Celebrating Health Information Professionals Week 2015.

Component 6- Health Management Information Systems Unit 5-2 Clinical Decision Support Systems This material was developed by Duke University, funded by.

EC TWINNING PROJECT Development of National Coding Standards within the Czech DRG System CZ2005/IB/SO/03.

Data Validation ETA/ASTD Regional Technical Assistance Forum November 2, 2011 San Francisco, CA.

1 On-Line Financial Management Workshops Cost Classification, Administrative Costs & Program Income June 2009.

MEASURE Evaluation Data Quality Assurance Workshop Session 3 Introduction to Routine Data Quality Assessment.

© 2016 Chapter 6 Data Management Health Information Management Technology: An Applied Approach.

Component 11 Configuring EHRs

Data Quality Improvement

PSO Overview for (name of organization’s) PSES Workgroup

PSO Overview for Executives

Guidance for Patient Interactions

Overview of CRISP Connectivity Process

PSO Overview for (name of organization’s) PSES Workgroup

PSO Overview for Executives

Component 11 Unit 7: Building Order Sets

HLN Consulting, LLC® November 8, 2006

Component 2: The Culture of Health Care

Component 1: Introduction to Health Care and Public Health in the U.S.

Presentation transcript:

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 IU24OC

At the end of this segment, the student will be able to: Identify ten attributes of data quality and key process recommendations Objective Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring

Data Quality Contextual knowledge of application is not necessary Reflects business rules, regulation or constraints Objective Reflects stakeholder needs/experiences Conclusion varies by user or specific use of data Subjective Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring

Data Quality Management Model ApplicationCollection Analysis Warehousing Data Quality Management (DQM) Model Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring

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

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

Definitions of Data Definitions should be provided so current and future users will know what the data mean Each element should have clear meaning and acceptable values AHIMA, 2006 Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring

Definitions of Data Example: An organization is preparing to participate in a nationally recognized surveillance system for public reporting of hospital-acquired infections. First, they review the definitions for all variables to be submitted to assure they match the definitions required by the database. Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring

Definitions of Data Key process recommendations: Develop a data dictionary that represents agreement of all users on the standard definitions, normal and abnormal values, variable properties, etc., that are included in the data. Responsibility for oversight of the management of the data must be assigned.. Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring

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

Accuracy of Data Correct values Valid Attached to the correct patient record AHIMA, 2006 Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring

Accuracy of Data Example: The patient’s health insurance information must be accurate for billing purposes. If a reference table is available with the codes of all pre-approved insurance providers, an automated process can be put into place to verify data accuracy. Other insurer codes can be entered manually after pre- approval. Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring

Accuracy of Data Key process recommendations: Establish policies/procedures and provide guidance to ensure integrity, validity and reliability of the data. AHIMA, 2006 Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring

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

Accessibility of Data Easily obtainable Legal to access with strong protections and built-in controls AHIMA, 2006 Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring

Accessibility of Data Example: A quality improvement team at a home care agency needs demographic data to complete a clinical outcome analysis for their congestive heart failure patients. They complete the required forms and are granted time-limited access to designated tables in the agency’s data warehouse that contain the needed demographics. Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring

Accessibility of Data Key process recommendations: Gain consensus on defined minimum amount of data to be accessible to participants to support their mission/objectives. Provide protection controls with traceable audit capability. Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring

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

Comprehensiveness of Data Required data items are included The entire scope of required data are collected Intentional limitations are documented AHIMA, 2006 Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring

Comprehensiveness of Data Example: Hospitals are at risk for non-payment if a patient develops a pressure ulcer in their care. Prompts can be written to require a detailed assessment to determine if any pressure areas were present on admission. This assessment includes the location, size and extent of tissue damage. Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring

Comprehensiveness of Data Key process recommendations: Establish guidelines for the most recent and comprehensive data required for the participants mission/objectives. AHIMA, 2006 Component 12/Unit 11 Health IT Workforce Curriculum Version 2.0/Spring