Methodologies for Information Quality Assessment and Improvement

2016 ◽  
pp. 353-402 ◽  
Author(s):  
Carlo Batini ◽  
Monica Scannapieco
Keyword(s):  
Quality Assessment ◽  
Information Quality ◽  
Quality Assessment And Improvement

scholarly journals Canadian Approaches to Optimizing Quality of Administrative Data for Health System Use, Research, and Linkage

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Catherine Eastwood ◽  
Keith Denny ◽  
Maureen Kelly ◽  
Hude Quan
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Quality Assessment ◽  
Administrative Data ◽  
Information Quality ◽  
Health Data ◽  
Data Sources ◽  
University Of Calgary ◽  
Quality Assessment And Improvement

Theme: Data and Linkage QualityObjectives: To define health data quality from clinical, data science, and health system perspectives To describe some of the international best practices related to quality and how they are being applied to Canada’s administrative health data. To compare methods for health data quality assessment and improvement in Canada (automated logical checks, chart quality indicators, reabstraction studies, coding manager perspectives) To highlight how data linkage can be used to provide new insights into the quality of original data sources To highlight current international initiatives for improving coded data quality including results from current ICD-11 field trials Dr. Keith Denny: Director of Clinical Data Standards and Quality, Canadian Insititute for Health Information (CIHI), Adjunct Research Professor, Carleton University, Ottawa, ON. He provides leadership for CIHI’s information quality initiatives and for the development and application of clinical classifications and terminology standards. Maureen Kelly: Manager of Information Quality at CIHI, Ottawa, ON. She leads CIHI’s corporate quality program that is focused on enhancing the quality of CIHI’s data sources and information products and to fostering CIHI’s quality culture. Dr. Cathy Eastwood: Scientific Manager, Associate Director of Alberta SPOR Methods & Development Platform, Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB. She has expertise in clinical data collection, evaluation of local and systemic data quality issues, disease classification coding with ICD-10 and ICD-11. Dr. Hude Quan: Professor, Community Health Sciences, Cumming School of Medicine, University of Calgary, Director Alberta SPOR Methods Platform; Co-Chair of Hypertension Canada, Co-Chair of Person to Population Health Collaborative of the Libin Cardiovascular Institute in Calgary, AB. He has expertise in assessing, validating, and linking administrative data sources for conducting data science research including artificial intelligence methods for evaluating and improving data quality. Intended Outcomes:“What is quality health data?” The panel of experts will address this common question by discussing how to define high quality health data, and measures being taken to ensure that they are available in Canada. Optimizing the quality of clinical-administrative data, and their use-value, first requires an understanding of the processes used to create the data. Subsequently, we can address the limitations in data collection and use these data for diverse applications. Current advances in digital data collection are providing more solutions to improve health data quality at lower cost. This panel will describe a number of quality assessment and improvement initiatives aimed at ensuring that health data are fit for a range of secondary uses including data linkage. It will also discuss how the need for the linkage and integration of data sources can influence the views of the data source’s fitness for use. CIHI content will include: Methods for optimizing the value of clinical-administrative data CIHI Information Quality Framework Reabstraction studies (e.g. physician documentation/coders’ experiences) Linkage analytics for data quality University of Calgary content will include: Defining/measuring health data quality Automated methods for quality assessment and improvement ICD-11 features and coding practices Electronic health record initiatives

Correlates of External Quality Assessment and Improvement Programs in Internal Auditing: A Study of 68 Countries

2016 ◽  
Vol 15 (2) ◽  
pp. 53-71 ◽  
Author(s):  
Steven M. DeSimone ◽  
Mohammad Abdolmohammadi
Keyword(s):  
Quality Assessment ◽  
Audit Committee ◽  
External Quality Assessment ◽  
Internal Audit ◽  
Data Availability ◽  
Internal Quality ◽  
External Quality ◽  
Improvement Programs ◽  
Quality Assessment And Improvement ◽  
Committee Involvement

ABSTRACT We use survey responses from 1,053 chief audit executives (CAEs) of public companies located in 68 countries to investigate the theoretical correlates of the use of external quality assessment and improvement programs (ExternalQAIP) for the Internal Audit Function (IAF). Our test variables are (1) internal quality assessment and improvement programs (InternalQAIP) and its related components and IAF performance measures, (2) chief audit executive competence, (3) audit committee involvement with the internal audit, (4) IAF age, (5) IAF outsourcing status (in-house or outsourced), and (6) the nature of the IAF's work (work performed by IAF). We find support for our hypothesized associations between various measures of InternalQAIP and ExternalQAIP. We also find significant and positive results for associations between audit committee involvement and IAF age and ExternalQAIP. However, we do not find significant results for in-house or outsourcing of internal audit activities, CAE competence, or control variables. Our results should be of interest to management, CAEs, corporate boards, regulators, and external auditors. Data Availability: Please contact The Institute of Internal Auditors Research Foundation (IIARF) that owns the CBOK (2010) database used in this study.

scholarly journals A review of volunteered geographic information quality assessment methods

2016 ◽  
Vol 31 (1) ◽  
pp. 139-167 ◽  
Author(s):  
Hansi Senaratne ◽  
Amin Mobasheri ◽  
Ahmed Loai Ali ◽  
Cristina Capineri ◽  
Mordechai (Muki) Haklay
Keyword(s):  
Quality Assessment ◽  
Information Quality ◽  
Volunteered Geographic Information ◽  
Geographic Information ◽  
Assessment Methods

Dutch Gastrointestinal Endoscopy Audit: automated extraction of colonoscopy data for quality assessment and improvement

2020 ◽  
Vol 92 (1) ◽  
pp. 154-162.e1 ◽  
Author(s):  
Michael P.M. de Neree tot Babberich ◽  
Michiel Ledeboer ◽  
Monique E. van Leerdam ◽  
Manon C.W. Spaander ◽  
Aura A.J. van Esch ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Gastrointestinal Endoscopy ◽  
Automated Extraction ◽  
Quality Assessment And Improvement
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