Towards an ontology for data quality in integrated chronic disease management: A realist review of the literature

Liaw, S.T.; Rahimi, A.; Ray, P.; Taggart, J.; Dennis, S.; de Lusignan, S.; Jalaludin, B.; Yeo, A.E.T.; Talaei-Khoei, A.

doi:10.1016/j.ijmedinf.2012.10.001

Cited by 170Electronic Health Records SystemsMedical Coding and Health InformationData Quality and Management

Towards an ontology for data quality in integrated chronic disease management: A realist review of the literature

Liaw, S.T., Rahimi, A., Ray, P., Taggart, J., Dennis, S., de Lusignan, S., Jalaludin, B., Yeo, A.E.T. +1 more·2013·International Journal of Medical Informatics

DOI 10.1016/j.ijmedinf.2012.10.001

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Abstract

Purpose Effective use of routine data to support integrated chronic disease management (CDM) and population health is dependent on underlying data quality (DQ) and, for cross system use of data, semantic interoperability. An ontological approach to DQ is a potential solution but research in this area is limited and fragmented. Objective Identify mechanisms, including ontologies, to manage DQ in integrated CDM and whether improved DQ will better measure health outcomes. Methods A realist review of English language studies (January 2001-March 2011) which addressed data quality, used ontology-based approaches and is relevant to CDM. Results We screened 245 papers, excluded 26 duplicates, 135 on abstract review and 31 on full-text review; leaving 61 papers for critical appraisal. Of the 33 papers that examined ontologies in chronic disease management, 13 defined data quality and 15 used ontologies for DQ. Most saw DQ as a multidimensional construct, the most used dimensions being completeness, accuracy, correctness, consistency and timeliness. The majority of studies reported tool design and development (80%), implementation (23%), and descriptive evaluations (15%). Ontological approaches were used to address semantic interoperability, decision support, flexibility of information management and integration/linkage, and complexity of information models. Conclusion DQ lacks a consensus conceptual framework and definition. DQ and ontological research is relatively immature with litt…

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The current DQ literature is inconsistent in the use of terms that describe the complex multidimensional aspects of DQ.
“The current DQ literature is inconsistent in the use of terms that describe the complex multidimensional aspects of DQ.42–51”
From A harmonized data quality assessment terminology and framework for the secondary use of electronic health record data (2016) · cites this paper as [46]

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Developing the ontological foundations of a terminological system for end-stage diseases, organ failure, dialysis and transplantation
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Ontology-based Fuzzy Inference Agent for Diabetes Classification
Wang, M., Lee, C.-S., Li, H.-C., & Ko, W.-M. (2007) · Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS) · doi:10.1109/nafips.2007.383815 · Cited by 13 · see citing works
Ontology-Based Semi-automatic Construction of Bayesian Network Models for Diagnosing Diseases in E-health Applications
Jeon, B.-J., & Ko, I. (2007) · Frontiers in Convergence of Bioscience and Information Technologies · doi:10.1109/fbit.2007.63 · Cited by 13 · see citing works
Emergency department information system diagnosis: how accurate is it?
Mitchell, J. S., & Westerduin, F. (2008) · Emergency Medicine Journal · doi:10.1136/emj.2007.050104 · Cited by 12 · see citing works
Assessing and Improving the Quality of Information for Health Evaluation and Promotion
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An Ontological and Non-monotonic Rule-Based Approach to Label Medical Images
Esposito, M. (2007) · International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) · doi:10.1109/sitis.2007.77 · Cited by 12 · see citing works
An Ontology-driven Multi-agent approach for Healthcare
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Self-citation
The Information Quality Triangle: A methodology to assess Clinical Information quality
Choquet, R., Qouiyd, S., Ouagne, D., Pasche, E., Daniel, C., Omar, B., & Jaulent, M. (2010) · Studies in health technology and informatics · doi:10.3233/978-1-60750-588-4-699 · Cited by 12 · see citing works
Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks
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Vocabularies and Retrieval Tools in Biomedicine: Disentangling the Terminological Knot
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Häufigkeit der nosokomialen Pneumonie im Krankenhaus - Vergleich von rechnergestützter Basisdokumentation und papierbasierter Krankenakte
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Glossary of terms relating to thesauri and other forms of structured vocabulary for information retrieval
Will, L. D. (2009) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.3452000 · Cited by 11 · see citing works
2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vols 1-8
Magenes, G., Passaglia, F., & Secco, E. L. (2008) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · Cited by 10 · see citing works
Anchoring the Consistency Dimension of Data Quality Using Ontology in Data Integration
Wei-Liang, C., Zhang, S., & Gao, X. (2009) · Web Information Systems and Applications Conference (WISA) · doi:10.1109/wisa.2009.32 · Cited by 9 · see citing works
A hierarchical, ontology-driven Bayesian concept for ubiquitous medical environments- A case study for pulmonary diseases
Μaragoudakis, M., Lymberopoulos, D. K., Fakotakis, N., & Spiropoulos, K. V. (2008) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2008.4650038 · Cited by 8 · see citing works
An Efficient Method of Data Quality using Quality Evaluation Ontology
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Congenital Heart Disease: An Ontology-Based Approach for the Examination of the Cardiovascular System
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Use and Modeling of Multi-agent Systems in Medicine
Hadzic, M., Dillon, D. S., & Dillon, T. S. (2009) · International Workshop on Database and Expert Systems Applications (DEXA) · doi:10.1109/dexa.2009.7 · Cited by 6 · see citing works
Decision Making Based on Quality-of-Information a Clinical Guideline for Chronic Obstructive Pulmonary Disease Scenario
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Towards Improved Information Quality: The Integration of Body Area Network Data within Electronic Health Records
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Silence is golden
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Toward Assessing Data Quality of Ontology Matching on the Web
Vorochek, O., & Biletskiy, Y. (2007) · Conference on Communication Networks and Services Research · doi:10.1109/cnsr.2007.68 · Cited by 1 · see citing works

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A harmonized data quality assessment terminology and framework for the secondary use of electronic health record data
Kahn, M. G., Callahan, T. J., Barnard, J., Bauck, A. E., Brown, J., Davidson, B. N., Estiri, H., Goerg, C., Holve, E., Johnson, S. G., et al. (2016) · eGEMs (Generating Evidence & Methods to improve patient outcomes) · doi:10.13063/2327-9214.1244 · Cited by 636 · see citing works
Self-citation
Semantic Web in data mining and knowledge discovery: A comprehensive survey
Ristoski, P., & Paulheim, H. (2016) · Journal of Web Semantics · doi:10.1016/j.websem.2016.01.001 · Cited by 314 · see citing works
A Survey on Data Quality: Classifying Poor Data
Laranjeiro, N., Soydemir, S. N., & Bernardino, J. (2015) · IEEE Pacific Rim International Symposium on Dependable Computing (PRDC) · doi:10.1109/prdc.2015.41 · Cited by 179 · see citing works
Data Quality in Electronic Health Records Research: Quality Domains and Assessment Methods
Feder, S. L. (2017) · Western Journal of Nursing Research · doi:10.1177/0193945916689084 · Cited by 148 · see citing works
Transparent Reporting of Data Quality in Distributed Data Networks
Kahn, M. G., Brown, J. S., Chun, A. T., Davidson, B. N., Meeker, D., Ryan, P. B., Schilling, L. M., Weiskopf, N. G., Williams, A. E., & Zozus, M. N. (2015) · eGEMs (Generating Evidence & Methods to improve patient outcomes) · doi:10.13063/2327-9214.1052 · Cited by 126 · see citing works
Clinical information seeking behavior of physicians: A systematic review
Daei, A., Soleymani, M. R., Ashrafi‐rizi, H., Zargham‐Boroujeni, A., & Kelishadi, R. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2020.104144 · Cited by 119 · see citing works
Incidence and prevalence of cardiovascular disease in English primary care: a cross-sectional and follow-up study of the Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC)
Hinton, W., McGovern, A. P., Coyle, R. M., Han, T. S., Sharma, P., Correa, A., Ferreira, F. M., & de Lusignan, S. (2018) · BMJ Open · doi:10.1136/bmjopen-2017-020282 · Cited by 118 · see citing works
Bridging the “last mile” gap between AI implementation and operation: “data awareness” that matters
Cabitza, F., Campagner, A., & Balsano, C. (2020) · Annals of Translational Medicine · doi:10.21037/atm.2020.03.63 · Cited by 113 · see citing works
Quality assessment of real-world data repositories across the data life cycle: A literature review
Liaw, S., Guo, J., Ansari, S., Jonnagaddala, J., Godinho, M. A., Borelli, A. J., de Lusignan, S., Daniel Capurro, N., Liyanage, H., Bhattal, N., et al. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa340 · Cited by 95 · see citing works
Self-citation
Assessing the practice of data quality evaluation in a national clinical data research network through a systematic scoping review in the era of real-world data
Bian, J., Lyu, T., Loiacono, A., Viramontes, T. M., Lipori, G., Guo, Y., Wu, Y., Prosperi, M., George, T. J., Harle, C. A., et al. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa245 · Cited by 92 · see citing works
Ischaemic stroke, haemorrhage, and mortality in older patients with chronic kidney disease newly started on anticoagulation for atrial fibrillation: a population based study from UK primary care
Kumar, S., de Lusignan, S., McGovern, A. P., Correa, A., Hriskova, M., Gatenby, P. A. C., Jones, S., Goldsmith, D. J. A., & Camm, A. J. (2018) · BMJ · doi:10.1136/bmj.k342 · Cited by 82 · see citing works
Recent Worldwide Developments in eHealth and mHealth to more Effectively Manage Cancer and other Chronic Diseases – A Systematic Review
Ray, P., Liaw, S.-T., & Lewis, J. (2016) · Yearbook of Medical Informatics · doi:10.15265/iy-2016-020 · Cited by 82 · see citing works
Self-citation
Robot Assistant in Management of Diabetes in Children Based on the Internet of Things
Al-Taee, M. A., Al‐Nuaimy, W., Muhsin, Z. J., & Al-Ataby, A. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2623767 · Cited by 72 · see citing works
A Data Quality Ontology for the Secondary Use of EHR Data.
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Application of an Ontology for Characterizing Data Quality for a Secondary Use of EHR Data
Speedie, S. M., Simon, G., Kumar, V., Westra, B. L., & Johnson, S. (2016) · Applied Clinical Informatics · doi:10.4338/aci-2015-08-ra-0107 · Cited by 63 · see citing works
The Evolution of Data Quality: Understanding the Transdisciplinary Origins of Data Quality Concepts and Approaches
Keller‐McNulty, S., Korkmaz, G., Orr, M., Schroeder, A. D., & Shipp, S. S. (2017) · Annual Review of Statistics and Its Application · doi:10.1146/annurev-statistics-060116-054114 · Cited by 66 · see citing works
Aggregating the syntactic and semantic similarity of healthcare data towards their transformation to HL7 FHIR through ontology matching
Kiourtis, A., Nifakos, S., Mavrogiorgou, A., & Kyriazis, D. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.104002 · Cited by 56 · see citing works
Digital-Twins-Based Internet of Robotic Things for Remote Health Monitoring of COVID-19 Patients
Khan, S., Ullah, S., Khan, H. U., & Rehman, I. U. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3267171 · Cited by 53 · see citing works
Validating an ontology-based algorithm to identify patients with Type 2 Diabetes Mellitus in Electronic Health Records
Rahimi, A., Liaw, S., Taggart, J., RAY, P. K., & Yu, H. (2014) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2014.06.002 · Cited by 48 · see citing works
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Identifying people at risk of developing type 2 diabetes: A comparison of predictive analytics techniques and predictor variables
Talaei‐Khoei, A., & Wilson, J. M. (2018) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2018.08.008 · Cited by 50 · see citing works
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Raising the Bar for Real-World Data in Oncology: Approaches to Quality Across Multiple Dimensions
Castellanos, E. H., Wittmershaus, B. K., & Chandwani, S. (2024) · JCO Clinical Cancer Informatics · doi:10.1200/cci.23.00046 · Cited by 52 · see citing works
A Review of Data Quality Assessment in Emergency Medical Services
Mashoufi, M., Ayatollahi, H., & Khorasani‐Zavareh, D. (2018) · The Open Medical Informatics Journal · doi:10.2174/1874431101812010019 · Cited by 47 · see citing works
A Comparison of Data Quality Assessment Checks in Six Data Sharing Networks
Callahan, T. J., Bauck, A. E., Bertoch, D., Brown, J. S., Khare, R., Ryan, P. B., Staab, J., Zozus, M. N., & Kahn, M. G. (2017) · eGEMs (Generating Evidence & Methods to improve patient outcomes) · doi:10.5334/egems.223 · Cited by 46 · see citing works
Applying probabilistic temporal and multisite data quality control methods to a public health mortality registry in Spain: a systematic approach to quality control of repositories
Sáez, C., Zurriaga, Ó., Pérez‐Panadés, J., Melchor, I., Robles, M., & Garcia-Gomez, J. M. (2016) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocw010 · Cited by 45 · see citing works
Ontology-Based Data Quality Management for Data Streams
Geisler, S., Quix, C., Weber, S., & Jarke, M. (2016) · Journal of Data and Information Quality · doi:10.1145/2968332 · Cited by 39 · see citing works
Evaluation of an ontology-based system for computerized cognitive rehabilitation
Alloni, A., Quaglini, S., Panzarasa, S., Sinforiani, E., & Bernini, S. (2018) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2018.04.005 · Cited by 39 · see citing works
Students’ perspective on knowledge quality in eLearning context: a qualitative assessment
Waheed, M., Kaur, K., & Qazi, A. (2016) · Internet Research · doi:10.1108/intr-08-2014-0199 · Cited by 41 · see citing works
Knowledge quality
Waheed, M., & Kaur, K. (2014) · Information Development · doi:10.1177/0266666914539694 · Cited by 42 · see citing works
Application of process mining to assess the data quality of routinely collected time-based performance data sourced from electronic health records by validating process conformance
Perimal‐Lewis, L., Teubner, D. J., Hakendorf, P. H., & Horwood, C. (2015) · Health Informatics Journal · doi:10.1177/1460458215604348 · Cited by 34 · see citing works
Toward a framework for data quality in cloud-based health information system
Almutiry, O., Wills, G. B., Alwabel, A., Crowder, R., & WaIters, R. (2013) · ePrints Soton (University of Southampton) · Cited by 33 · see citing works
Building Data-Driven Pathways From Routinely Collected Hospital Data: A Case Study on Prostate Cancer
Bettencourt‐Silva, J. H., Clark, J., Cooper, C. S., Mills, R., Rayward-Smith, V. J., & de la Iglesia, B. (2015) · JMIR Medical Informatics · doi:10.2196/medinform.4221 · Cited by 33 · see citing works
Kinematics of Big Biomedical Data to characterize temporal variability and seasonality of data repositories: Functional Data Analysis of data temporal evolution over non-parametric statistical manifolds
Sáez, C., & Garcia-Gomez, J. M. (2018) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2018.09.015 · Cited by 33 · see citing works
Quality of Hospital Electronic Health Record (EHR) Data Based on the International Consortium for Health Outcomes Measurement (ICHOM) in Heart Failure: Pilot Data Quality Assessment Study
Aerts, H., Kalra, D., Sáez, C., Ramírez‐Anguita, J. M., Mayer, M. Á., Garcia-Gomez, J. M., Durá, M., Thienpont, G., & Coorevits, P. L. (2021) · JMIR Medical Informatics · doi:10.2196/27842 · Cited by 32 · see citing works
Information Quality in Healthcare
Cabitza, F., & Batini, C. (2016) · Data-centric systems and applications · doi:10.1007/978-3-319-24106-7_13 · Cited by 32 · see citing works
Frameworks, Dimensions, Definitions of Aspects, and Assessment Methods for the Appraisal of Quality of Health Data for Secondary Use: Comprehensive Overview of Reviews
Declerck, J., Kalra, D., Stichele, R. V., & Coorevits, P. L. (2024) · JMIR Medical Informatics · doi:10.2196/51560 · Cited by 31 · see citing works
An ontological knowledge and multiple abstraction level decision support system in healthcare
Piovesan, L., Molino, G., & Terenziani, P. (2014) · Decision Analytics · doi:10.1186/2193-8636-1-8 · Cited by 30 · see citing works
Exploring completeness in clinical data research networks with DQe-c
Estiri, H., Stephens, K. A., Klann, J. G., & Murphy, S. N. (2017) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocx109 · Cited by 27 · see citing works
Understanding the differences across data quality classifications: a literature review and guidelines for future research
Haug, A. (2021) · Industrial Management & Data Systems · doi:10.1108/imds-12-2020-0756 · Cited by 28 · see citing works
Supporting integrated care with a flexible data management framework built upon Linked Data, HL7 FHIR and ontologies
Kilintzis, V., Chouvarda, I., Beredimas, N., Natsiavas, P., & Maglaveras, N. (2019) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2019.103179 · Cited by 27 · see citing works
Semantic-based Big Data integration framework using scalable distributed ontology matching strategy
Mountasser, I., Ouhbi, B., Hdioud, F., & Frikh, B. (2021) · Distributed and Parallel Databases · doi:10.1007/s10619-021-07321-6 · Cited by 27 · see citing works
A method for interoperable knowledge-based data quality assessment
Tute, E., Scheffner, I., & Marschollek, M. (2021) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-021-01458-1 · Cited by 27 · see citing works
An algorithm to improve diagnostic accuracy in diabetes in computerised problem orientated medical records (POMR) compared with an established algorithm developed in episode orientated records (EOMR)
de Lusignan, S., Liaw, S., Dedman, D., Khunti, K. K., Sadek, K., & Jones, S. (2015) · Journal of Innovation in Health Informatics · doi:10.14236/jhi.v22i2.79 · Cited by 23 · see citing works
Self-citation
A federated EHR network data completeness tracking system
Estiri, H., Klann, J. G., Weiler, S. R., Alema‐Mensah, E., Applegate, R. J., Lozinski, G., Patibandla, N., Wei, K., Adams, W. G., Natter, M. D., et al. (2019) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocz014 · Cited by 22 · see citing works
In this issue: Ontologies a key concept in informatics and key for open definitions of cases, exposures, and outcome measures
de Lusignan, S. (2015) · Journal of Innovation in Health Informatics · doi:10.14236/jhi.v22i2.170 · Cited by 23 · see citing works
Combining conceptual graphs and argumentation for aiding in the teleexpertise
Doumbouya, M. B., Kamsu-Foguem, B., Kenfack, H., & Foguem, C. (2015) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2015.05.012 · Cited by 22 · see citing works
A Review of the State of the Art of Data Quality in Healthcare
Liu, C., Talaei‐Khoei, A., Storey, V. C., & Peng, G. (2023) · Journal of Global Information Management · doi:10.4018/jgim.316236 · Cited by 24 · see citing works
Self-citation
An ontology-based module of the information system ScolioMedIS for 3D digital diagnosis of adolescent scoliosis
Luković, V., Ćuković, S., Milošević, D., & Devedžić, G. (2019) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2019.06.027 · Cited by 21 · see citing works
Data Quality–Driven Improvement in Health Care: Systematic Literature Review
Lighterness, A., Adcock, M., Scanlon, L. A., & Price, G. (2024) · Journal of Medical Internet Research · doi:10.2196/57615 · Cited by 26 · see citing works
“This has been demonstrated in a wealth of previous reviews on DQ theory [22,23,25,26,38,48], but to a lesser extent in a quality improvement context.”
Managing Data, Information, and Technology in Cyber Physical Systems: Public Safety as a Service and its Systems
Drăgoicea, M., Léonard, M., Ciolofan, S. N., & Militaru, G. (2019) · IEEE Access · doi:10.1109/access.2019.2927398 · Cited by 19 · see citing works
Information extraction from Italian medical reports: An ontology-driven approach
Viani, N., Larizza, C., Tibollo, V., Napolitano, C., Priori, S. G., Bellazzi, R., & Sacchi, L. (2017) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.12.013 · Cited by 19 · see citing works
Modelling clinical experience data as an evidence for patient-oriented decision support
Yang, J., Xiao, L., & Li, K. (2020) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-020-1121-4 · Cited by 19 · see citing works
Ontology Model for Assembly Process Planning Knowledge
Huang, Z., Qiao, L., Anwer, N., & Mo, Y. (2015) · IEEE International Conference on Industrial Engineering and Engineering Management · doi:10.2991/978-94-6239-102-4_85 · Cited by 18 · see citing works
A multi-dimensional construct of perceived information pollution in the era of rife infollution
Iqbal, Q., Yang, S., Nawaz, R., & Iqbal, K. (2019) · VINE Journal of Information and Knowledge Management Systems · doi:10.1108/vjikms-10-2018-0093 · Cited by 18 · see citing works
The completeness of electronic medical record data for patients with Type 2 Diabetes in primary care and its implications for computer modelling of predicted clinical outcomes
Staff, M. P., Roberts, C., & MARCH, L. M. (2016) · Primary care diabetes · doi:10.1016/j.pcd.2016.02.002 · Cited by 18 · see citing works
Information management in the Australian aged care setting
Davis, J., Morgans, A., & Burgess, S. (2016) · Health Information Management Journal · doi:10.1177/1833358316639434 · Cited by 17 · see citing works
The Evidence-base for Using Ontologies and Semantic Integration Methodologies to Support Integrated Chronic Disease Management in Primary and Ambulatory Care: Realist Review
Liyanage, H., Liaw, S., Kuziemsky, C., Terry, A. L., Jones, S., Soler, J. K., & de Lusignan, S. (2013) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638846 · Cited by 17 · see citing works
Self-citation
DQe-v: A Database-Agnostic Framework for Exploring Variability in Electronic Health Record Data Across Time and Site Location
Estiri, H., & Stephens, K. A. (2017) · eGEMs (Generating Evidence & Methods to improve patient outcomes) · doi:10.13063/2327-9214.1277 · Cited by 17 · see citing works
A predictive analytics framework for identifying patients at risk of developing multiple medical complications caused by chronic diseases
Talaei‐Khoei, A., Madjid Tavana, D., & Wilson, J. M. (2019) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2019.101750 · Cited by 17 · see citing works
Self-citation
Developing a Standardization Algorithm for Categorical Laboratory Tests for Clinical Big Data Research: Retrospective Study
Kim, M., Shin, S.-Y., Kang, M., Yi, B.-K., & Chang, D. K. (2019) · JMIR Medical Informatics · doi:10.2196/14083 · Cited by 17 · see citing works
Survey of Various Statistical Numerical and Machine Learning Ontological Models on Infectious Disease Ontology
Natarajan, Y., Kannan, S., & Mohanty, S. N. (2021) · doi:10.1002/9781119785620.ch17 · Cited by 16 · see citing works
Differences in changes of data completeness after the implementation of an electronic medical record in three surgical departments of a German hospital–a longitudinal comparative document analysis
Wurster, F., Herrmann, C., Beckmann, M., Cecon, N., Dittmer, K., Hansen, T. J., Jaschke, J., Köberlein–Neu, J., Okumu, M.-R., Pfaff, H., et al. (2024) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-024-02667-0 · Cited by 21 · see citing works
Electronic Health Records: Benefits and Challenges for Data Quality
Saiod, A. K., van Greunen, D., & Veldsman, A. (2017) · Scalable computing and communications · doi:10.1007/978-3-319-58280-1_6 · Cited by 15 · see citing works
Machine Learning and Digital-Twins-Based Internet of Robotic Things for Remote Patient Monitoring
Ullah, S., Khan, S., Vaněček, D., & Rehman, I. U. (2025) · IEEE Access · doi:10.1109/access.2025.3555495 · Cited by 17 · see citing works
Modelling elderly cardiac patients decision making using Cognitive Work Analysis: Identifying requirements for patient decision aids
Dhukaram, A. V., & Baber, C. (2015) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2015.01.001 · Cited by 14 · see citing works
Students’ perceptual quality standards for judging knowledge quality: Development and validation of a perceived e-learning knowledge quality scale
Waheed, M., & Kaur, K. (2017) · Information Development · doi:10.1177/0266666917744370 · Cited by 14 · see citing works
Semantic prediction assistant approach applied to energy efficiency in Tertiary buildings
Esnaola-Gonzalez, I., Bermúdez, J., Fernández, I., & Arnáiz, A. (2018) · Semantic Web · doi:10.3233/sw-180296 · Cited by 14 · see citing works
Information quality life cycle in secondary use of EHR data
Hausvik, G. I., Thapa, D., & Munkvold, B. E. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102227 · Cited by 14 · see citing works
Accelerating the development of an information ecosystem in health care, by stimulating the growth of safe intermediate processing of health information (IPHI)
Liyanage, H., Liaw, S., & de Lusignan, S. (2013) · Journal of Innovation in Health Informatics · doi:10.14236/jhi.v20i2.28 · Cited by 13 · see citing works
Self-citation
Ontological specification of quality of chronic disease data in EHRs to support decision analytics: a realist review
Rahimi, A., Liaw, S., RAY, P. K., Taggart, J., & Yu, H. (2014) · Decision Analytics · doi:10.1186/2193-8636-1-5 · Cited by 13 · see citing works
Self-citation
Assessing primary care data quality
Lim, Y. M. F., Yusof, M. M., & Sivasampu, S. (2018) · International Journal of Health Care Quality Assurance · doi:10.1108/ijhcqa-08-2016-0111 · Cited by 12 · see citing works
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Ontology for Data Quality and Chronic Disease Management
Rahimi, A., Liaw, S., RAY, P. K., Taggart, J., & Yu, H. (2014) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-4666-6316-9.ch016
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The Evidence-base for Using Ontologies and Semantic Integration Methodologies to Support Integrated Chronic Disease Management in Primary and Ambulatory Care: Realist Review
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Ontological specification of quality of chronic disease data in EHRs to support decision analytics: a realist review
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Ontologies to improve chronic disease management research and quality improvement studies - a conceptual framework.
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Development of a Methodological Approach for Data Quality Ontology in Diabetes Management
Rahimi, A., Parameswaran, N., RAY, P. K., Taggart, J., Yu, H., & Liaw, S. (2015) · IGI Global eBooks · doi:10.4018/978-1-4666-8756-1.ch023 · Cited by 1 · see citing works
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Authors: Liaw, S. T., Rahimi, A., Ray, P., Taggart, J., Dennis, S., de Lusignan, S., Jalaludin, B., Yeo, A. E. T., & Talaei-Khoei, A.
Affiliations: UNSW Sydney (AU)
Isfahan University of Medical Sciences (IR)
Ingham Institute (AU)
Corresponding author: Liaw, S.T.
ORCID: Liaw, S.T.
Rahimi, A.
Ray, P.
Taggart, J.
Dennis, S.
Jalaludin, B.
Venue: International Journal of Medical Informatics
Publisher: Elsevier BV
Published: 2013-01
Volume: 82
Issue: 1
Pages: 10-24
ISSN: 1386-5056 (ISSN-L)
DOI: 10.1016/j.ijmedinf.2012.10.001
OpenAlex: W2031500001
Cited by: 170
References: 128
Citations by year: 2026: 4 · 2025: 11 · 2024: 17 · 2023: 15 · 2022: 8 · 2021: 9 · 2020: 12 · 2019: 17 · 2018: 11 · 2017: 16 · 2016: 14 · 2015: 16 · 2014: 13 · 2013: 7
FWCI: 1.94
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: International Journal of Medical Informatics (publishedVersion)
PubMed (publishedVersion)
Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
UTS ePRESS (University of Technology Sydney) (submittedVersion)
Topics: Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
Social Sciences › Decision Sciences › Management Science and Operations Research › Data Quality and Management
Keywords: data quality, ontology (information science), chronic disease management, semantic interoperability, administrative data, population health, health information systems, data quality dimensions, decision support, health outcome measurement
MeSH terms: Chronic Disease, Data Collection, Humans, Medical Record Linkage, Research Design, Information Management, Disease Management

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Towards an ontology for data quality in integrated chronic disease management: A realist review of the literature

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