ALL CITATIONS

• A longitudinal analysis of data quality in a large pediatric data research network, Journal of the American Medical Informatics Association 24(6),
  DOI: http://doi.org/10.1093/jamia/ocx033
  
  
• Exploration of association rule mining for coding consistency and completeness assessment in inpatient administrative health data, Journal of Biomedical Informatics
  DOI: http://doi.org/10.1016/j.jbi.2018.02.001
  
  
• Veracity in big data: How good is good enough, Health Informatics Journal
  DOI: http://doi.org/10.1177/1460458217744369
  
  
• Measuring management’s perspective of data quality in Pakistan’s Tuberculosis control programme: a test-based approach to identify data quality dimensions, BMC Research Notes 11(1),
  DOI: http://doi.org/10.1186/s13104-018-3161-8
  
  
• Electronic medical records as a replacement for prospective research data collection in postoperative pain and opioid response studies, International Journal of Medical Informatics
  DOI: http://doi.org/10.1016/j.ijmedinf.2017.12.014
  
  
• Automating Electronic Clinical Data Capture for Quality Improvement and Research: The CERTAIN Validation Project of Real World Evidence, eGEMs (Generating Evidence & Methods to improve patient outcomes) 6(1),
  DOI: http://doi.org/10.5334/egems.211
  
  
• Desiderata for sharable computable biomedical knowledge for learning health systems, Learning Health Systems
  DOI: http://doi.org/10.1002/lrh2.10065
  
  
• 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, International Journal of Medical Informatics
  DOI: http://doi.org/10.1016/j.ijmedinf.2018.09.015
  
  
• Considerations in characterizing real-world data relevance and quality for regulatory purposes: A commentary, Pharmacoepidemiology and Drug Safety
  DOI: http://doi.org/10.1002/pds.4697
  
  
• What can Millions of Laboratory Test Results Tell Us about the Temporal Aspect of Data Quality? Study of Data Spanning 17 Years in a Clinical Data Warehouse, Computer Methods and Programs in Biomedicine
  DOI: http://doi.org/10.1016/j.cmpb.2018.12.030
  
  
• Semi-supervised encoding for outlier detection in clinical observation data, Computer Methods and Programs in Biomedicine
  DOI: http://doi.org/10.1016/j.cmpb.2019.01.002
  
  
• Medical data quality assessment: On the development of an automated framework for medical data curation, Computers in Biology and Medicine
  DOI: http://doi.org/10.1016/j.compbiomed.2019.03.001
  
  
• DataGauge: A Practical Process for Systematically Designing and Implementing Quality Assessments of Repurposed Clinical Data, eGEMs (Generating Evidence & Methods to improve patient outcomes) 7(1),
  DOI: http://doi.org/10.5334/egems.286
  
  
• Linking observational data from general practice, hospital admissions and diabetes clinic databases: can it be used to predict hospital admission?, BMC Health Services Research 19(1),
  DOI: http://doi.org/10.1186/s12913-019-4337-1
  
  
• A clustering approach for detecting implausible observation values in electronic health records data, BMC Medical Informatics and Decision Making 19(1),
  DOI: http://doi.org/10.1186/s12911-019-0852-6
  
  
• Guest editorial: Special issue in biomedical data quality assessment methods, Computer Methods and Programs in Biomedicine
  DOI: http://doi.org/10.1016/j.cmpb.2019.06.013
  
  
• Developing a Standardization Algorithm for Categorical Laboratory Tests for Clinical Big Data Research: Retrospective Study, JMIR Medical Informatics 7(3),
  DOI: http://doi.org/10.2196/14083
  
  
• Factors impacting physician use of information charted by others, JAMIA Open 2(1),
  DOI: http://doi.org/10.1093/jamiaopen/ooy041
  
  
• Barriers and facilitators to data quality of electronic health records used for clinical research in China: a qualitative study, BMJ Open 9(7),
  DOI: http://doi.org/10.1136/bmjopen-2019-029314
  
  
• Modern Information Technology for Cancer Research: What’s in IT for Me? An Overview of Technologies and Approaches, Oncology 98(Suppl. 6),
  DOI: http://doi.org/10.1159/000493638
  
  
• Are digital technologies fit for clinical purposes? A systematic review and qualitative synthesis of information quality frameworks for digital healthcare. (Preprint), Journal of Medical Internet Research
  DOI: http://doi.org/10.2196/23479
  
  
• What Every Reader Should Know About Studies Using Electronic Health Record Data but May be Afraid to Ask (Preprint), Journal of Medical Internet Research
  DOI: http://doi.org/10.2196/22219
  
  
• Common Problems, Common Data Model Solutions: Evidence Generation for Health Technology Assessment, PharmacoEconomics
  DOI: http://doi.org/10.1007/s40273-020-00981-9
  
  
• The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies, Journal of Biomedical Informatics
  DOI: http://doi.org/10.1016/j.jbi.2020.103655
  
  
• Advancing Artificial Intelligence in Health Settings Outside the Hospital and Clinic, NAM Perspectives
  DOI: http://doi.org/10.31478/202011f
  
  
• Temporal Design Patterns for Digital Phenotype Cohort Selection in Critical Care: Systematic Literature Assessment and Qualitative Synthesis, JMIR Medical Informatics 8(11),
  DOI: http://doi.org/10.2196/medinform.6924
  
  
• Developing Prediction Models for Total Knee Replacement Surgery in Patients with Osteoarthritis: Statistical Analysis Plan, Osteoarthritis and Cartilage Open
  DOI: http://doi.org/10.1016/j.ocarto.2020.100126
  
  
• Assessing the quality of clinical and administrative data extracted from hospitals: the General Medicine Inpatient Initiative (GEMINI) experience, Journal of the American Medical Informatics Association
  DOI: http://doi.org/10.1093/jamia/ocaa225
  
  
• 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, Journal of the American Medical Informatics Association
  DOI: http://doi.org/10.1093/jamia/ocaa245
  
  
• Automatic generation of minimum dataset and quality indicators from data collected routinely by the clinical information system in an intensive care unit, International Journal of Medical Informatics
  DOI: http://doi.org/10.1016/j.ijmedinf.2020.104327
  
  
• Generative transfer learning for measuring plausibility of EHR diagnosis records, Journal of the American Medical Informatics Association
  DOI: http://doi.org/10.1093/jamia/ocaa215
  
  
• Use of data from various sources to evaluate and improve the prevention of mother‐to‐child transmission of HIV programme in Zimbabwe: a data integration exercise, Journal of the International AIDS Society 23(S3),
  DOI: http://doi.org/10.1002/jia2.25524
  
  
• Decentralised Provenance for Healthcare Data, International Journal of Medical Informatics
  DOI: http://doi.org/10.1016/j.ijmedinf.2020.104197
  
  
• Guidelines for Data Acquisition, Quality and Curation for Observational Research Designs (DAQCORD), Journal of Clinical and Translational Science
  DOI: http://doi.org/10.1017/cts.2020.24
  
  
• Validation process of a high-resolution database in a paediatric intensive care unit-Describing the perpetual patient's validation, Journal of Evaluation in Clinical Practice
  DOI: http://doi.org/10.1111/jep.13411
  
  
• Development and validation of data quality rules in administrative health data using association rule mining, BMC Medical Informatics and Decision Making 20(1),
  DOI: http://doi.org/10.1186/s12911-020-1089-0
  
  
• An Experience of Electronic Health Records Implementation in a Mexican Region, Journal of Medical Systems 44(6),
  DOI: http://doi.org/10.1007/s10916-020-01575-w
  
  
• Clinical data quality: a data life cycle perspective, Biostatistics & Epidemiology 4(1),
  DOI: http://doi.org/10.1080/24709360.2019.1572344
  
  
• A Path for Translation of Machine Learning Products into Healthcare Delivery, EMJ Innovations
  DOI: http://doi.org/10.33590/emjinnov/19-00172
  
  
• Modernizing the Methods and Analytics Curricula for Health Science Doctoral Programs, Frontiers in Public Health
  DOI: http://doi.org/10.3389/fpubh.2020.00022
  
  
• A statistical quality assessment method for longitudinal observations in electronic health record data with an application to the VA million veteran program, BMC Medical Informatics and Decision Making 21(1),
  DOI: http://doi.org/10.1186/s12911-021-01643-2
  
  
• Using the Data Quality Dashboard to Improve the EHDEN Network, Applied Sciences 11(24),
  DOI: http://doi.org/10.3390/app112411920
  
  
• Assessing the suitability of general practice electronic health records for clinical prediction model development: a data quality assessment, BMC Medical Informatics and Decision Making 21(1),
  DOI: http://doi.org/10.1186/s12911-021-01669-6
  
  
• Applying Quality Improvement Approaches for the Control of Critical Medical Processes in a Healthcare Facility, Acta Marisiensis. Seria Technologica 18(2),
  DOI: http://doi.org/10.2478/amset-2021-0013
  
  
• Evolving phenotypes of non-hospitalized patients that indicate long COVID, BMC Medicine 19(1),
  DOI: http://doi.org/10.1186/s12916-021-02115-0
  
  
• Identifying Data Quality Dimensions for Person-Generated Wearable Device Data: A Multi-Method Study (Preprint), JMIR mHealth and uHealth
  DOI: http://doi.org/10.2196/31618
  
  
• dataquieR: assessment of data quality in epidemiological research, Journal of Open Source Software 6(61),
  DOI: http://doi.org/10.21105/joss.03093
  
  
• EA3: A softmax algorithm for evidence appraisal aggregation, PLOS ONE 16(6),
  DOI: http://doi.org/10.1371/journal.pone.0253057
  
  
• Development of a data utility framework to support effective health data curation, BMJ Health & Care Informatics 28(1),
  DOI: http://doi.org/10.1136/bmjhci-2020-100303
  
  
• Data quality-aware genomic data integration, Computer Methods and Programs in Biomedicine Update
  DOI: http://doi.org/10.1016/j.cmpbup.2021.100009
  
  
• Application of openEHR archetypes to automate data quality rules for electronic health records: a case study, BMC Medical Informatics and Decision Making 21(1),
  DOI: http://doi.org/10.1186/s12911-021-01481-2
  
  
• 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, JMIR Medical Informatics 9(8),
  DOI: http://doi.org/10.2196/27842
  
  
• Factors Affecting the Quality of Person-Generated Wearable Device Data and Associated Challenges: Rapid Systematic Review, JMIR mHealth and uHealth 9(3),
  DOI: http://doi.org/10.2196/20738
  
  
• Non-resuscitation fluid in excess of hydration requirements is associated with higher mortality in critically ill children, Pediatric Research
  DOI: http://doi.org/10.1038/s41390-021-01456-z
  
  
• Using Secondary Health Data in Research, Malaysian Journal of Medical and Biological Research 8(1),
  DOI: http://doi.org/10.18034/mjmbr.v8i1.544
  
  
• The concept of justifiable healthcare and how big data can help us to achieve it, BMC Medical Informatics and Decision Making 21(1),
  DOI: http://doi.org/10.1186/s12911-021-01444-7
  
  
• Multi-Center Healthcare Data Quality Measurement Model and Assessment Using OMOP CDM, Applied Sciences 11(19),
  DOI: http://doi.org/10.3390/app11199188
  
  
• In the Pursuit of Privacy: The Promises and Predicaments of Federated Learning in Healthcare, Frontiers in Artificial Intelligence
  DOI: http://doi.org/10.3389/frai.2021.746497
  
  
• Columbia Open Health Data for COVID-19 Research: Database Analysis, Journal of Medical Internet Research 23(9),
  DOI: http://doi.org/10.2196/31122
  
  
• Comparing automated vs. manual data collection for COVID-specific medications from electronic health records, International Journal of Medical Informatics
  DOI: http://doi.org/10.1016/j.ijmedinf.2021.104622
  
  
• Landscape analysis for a neonatal disease progression model of bronchopulmonary dysplasia: Leveraging clinical trial experience and real-world data, Frontiers in Pharmacology
  DOI: http://doi.org/10.3389/fphar.2022.988974
  
  
• Assessment of Clinical Information Quality in Digital Health Technologies: International eDelphi Study, Journal of Medical Internet Research 24(12),
  DOI: http://doi.org/10.2196/41889
  
  
• Robustness of Multiple Imputation Methods for Missing Risk Factor Data from Electronic Medical Records for Observational Studies, Journal of Healthcare Informatics Research
  DOI: http://doi.org/10.1007/s41666-022-00119-w
  
  
• Developing population health surveillance using mHealth in low-resource settings: A qualitative assessment and pilot evaluation (Preprint), JMIR Formative Research
  DOI: http://doi.org/10.2196/36260
  
  
• Data governance in healthcare information systems: A systematic literature review, SA Journal of Information Management 24(1),
  DOI: http://doi.org/10.4102/sajim.v24i1.1475
  
  
• DQAgui: a graphical user interface for the MIRACUM data quality assessment tool, BMC Medical Informatics and Decision Making 22(1),
  DOI: http://doi.org/10.1186/s12911-022-01961-z
  
  
• Repeatable enhancement of healthcare data with social determinants of health, Frontiers in Big Data
  DOI: http://doi.org/10.3389/fdata.2022.894598
  
  
• Database quality assessment in research in paramedicine: a scoping review protocol, BMJ Open 12(7),
  DOI: http://doi.org/10.1136/bmjopen-2022-063372
  
  
• Intrinsic and extrinsic quality of data for open data repositories, ICT Express
  DOI: http://doi.org/10.1016/j.icte.2022.06.001
  
  
• The IeDEA Harmonist Data Toolkit: A Data Quality and Data Sharing Solution for a Global HIV Research Consortium, Journal of Biomedical Informatics
  DOI: http://doi.org/10.1016/j.jbi.2022.104110
  
  
• A framework for selection of health terminology systems: A prerequisite for interoperability of health information systems, Informatics in Medicine Unlocked
  DOI: http://doi.org/10.1016/j.imu.2022.100949
  
  
• Multiple Organ Dysfunction Interactions in Critically Ill Children, Frontiers in Pediatrics
  DOI: http://doi.org/10.3389/fped.2022.874282
  
  
• R Packages for Data Quality Assessments and Data Monitoring: A Software Scoping Review with Recommendations for Future Developments, Applied Sciences 12(9),
  DOI: http://doi.org/10.3390/app12094238
  
  
• Identifying primary care datasets and perspectives on their secondary use: a survey of Australian data users and custodians, BMC Medical Informatics and Decision Making 22(1),
  DOI: http://doi.org/10.1186/s12911-022-01830-9
  
  
• Prevalence of multiple sclerosis and treatment utilization in a large, highly diverse population, Multiple Sclerosis and Related Disorders
  DOI: http://doi.org/10.1016/j.msard.2022.103784
  
  
• Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS, Clinical Epidemiology
  DOI: http://doi.org/10.2147/CLEP.S323292
  
  
• Maximizing data value for biopharma through FAIR and quality implementation: FAIR plus Q, Drug Discovery Today
  DOI: http://doi.org/10.1016/j.drudis.2022.01.006
  
  
• How do cancer clinicians perceive real-world data and the evidence derived therefrom? Findings from an international survey of the European Organisation for Research and Treatment of Cancer, Frontiers in Pharmacology
  DOI: http://doi.org/10.3389/fphar.2022.969778
  
  
• The Role of Explainability in Assuring Safety of Machine Learning in Healthcare, IEEE Transactions on Emerging Topics in Computing 10(4),
  DOI: http://doi.org/10.1109/TETC.2022.3171314
  
  
• Data quality assessment in emergency medical services: an objective approach, BMC Emergency Medicine 23(1),
  DOI: http://doi.org/10.1186/s12873-023-00781-2
  
  
• A data preparation framework for cleaning electronic health records and assessing cleaning outcomes for secondary analysis, Information Systems
  DOI: http://doi.org/10.1016/j.is.2022.102130
  
  
• Mixed methods study protocol for combining stakeholder-led rapid evaluation with near real-time continuous registry data to facilitate evaluations of quality of care in intensive care units, Wellcome Open Research
  DOI: http://doi.org/10.12688/wellcomeopenres.18710.1
  
  
• The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges, ACM Computing Surveys 55(2),
  DOI: http://doi.org/10.1145/3490234
  
  
• A global federated real-world data and analytics platform for research, JAMIA Open 6(2),
  DOI: http://doi.org/10.1093/jamiaopen/ooad035
  
  
• Assessment and Improvement of Drug Data Structuredness From Electronic Health Records: Algorithm Development and Validation, JMIR Medical Informatics
  DOI: http://doi.org/10.2196/40312
  
  
• A Review of the State of the Art of Data Quality in Healthcare, Journal of Global Information Management 31(1),
  DOI: http://doi.org/10.4018/JGIM.316236
  
  
• Completeness of pediatric versus adult patient assessment documentation in the National Emergency Medical Services Information System, Prehospital Emergency Care
  DOI: http://doi.org/10.1080/10903127.2023.2178563
  
  
• An ETL-process design for incremental loading German real-world data based on FHIR and OMOP CDM: Algorithm Development and Validation (Preprint), JMIR Medical Informatics
  DOI: http://doi.org/10.2196/47310
  
  
• Real-time prediction of organ failures in patients with acute pancreatitis using longitudinal irregular data, Journal of Biomedical Informatics
  DOI: http://doi.org/10.1016/j.jbi.2023.104310
  
  
• Risk of diabetes in patients with sleep apnea: comparison of surgery versus CPAP in a long-term follow-up study, Journal of Otolaryngology - Head & Neck Surgery 52(1),
  DOI: http://doi.org/10.1186/s40463-022-00616-3
  
  
• Mixed methods study protocol for combining stakeholder-led rapid evaluation with near real-time continuous registry data to facilitate evaluations of quality of care in intensive care units, Wellcome Open Research
  DOI: http://doi.org/10.12688/wellcomeopenres.18710.2
  
  
• Assessing the Quality of Big Data Is Critical as the Stakes Increase, JAMA Ophthalmology
  DOI: http://doi.org/10.1001/jamaophthalmol.2023.1561
  
  
• Digital Health Data Quality Issues: Systematic Review, Journal of Medical Internet Research
  DOI: http://doi.org/10.2196/42615
  
  
• Practical Considerations for Developing Clinical Natural Language Processing Systems for Population Health Management and Measurement, JMIR Medical Informatics
  DOI: http://doi.org/10.2196/37805