ArticlePharmacoepidemiology and drug safety2011
What does validation of cases in electronic record databases mean? The potential contribution of free text.
Article in Pharmacoepidemiology and drug safety, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
17 citing papers in PubMed.
- Using electronic medical records to analyze outpatient visits of persons with epilepsy during the pandemic-experience from a low middle income country.Acta epileptologica · 2025Article
- Guidance of development, validation, and evaluation of algorithms for populating health status in observational studies of routinely collected data (DEVELOP-RCD).Military Medical Research · 2024Article
- Undercounting diagnoses in Australian general practice: a data quality study with implications for population health reporting.BMC medical informatics and decision making · 2024Article
- Defining cases of asthma, eczema and allergic rhinitis using electronic health records in the Born in Bradford birth cohort.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2023Article
- Core concepts in pharmacoepidemiology: Validation of health outcomes of interest within real-world healthcare databases.Pharmacoepidemiology and drug safety · 2023Review
- Deriving and validating an asthma diagnosis prediction model for children and young people in primary care.Wellcome open research · 2023Article
- Concept Libraries for Repeatable and Reusable Research: Qualitative Study Exploring the Needs of Users.JMIR human factors · 2022Article
- Article
- Protocol for the derivation and validation of a clinical prediction model to support the diagnosis of asthma in children and young people in primary care.Wellcome open research · 2020Article
- Can the Use of Bayesian Analysis Methods Correct for Incompleteness in Electronic Health Records Diagnosis Data? Development of a Novel Method Using Simulated and Real-Life Clinical Data.Frontiers in public health · 2020Article
- Chronic obstructive pulmonary disease exacerbation episodes derived from electronic health record data validated using clinical trial data.Pharmacoepidemiology and drug safety · 2019Article
- From patient care to research: a validation study examining the factors contributing to data quality in a primary care electronic medical record database.BMC family practice · 2015Article
- Article
- Using electronic health records data to identify patients with chronic pain in a primary care setting.Journal of the American Medical Informatics Association : JAMIA · 2013Article
- Improving sensitivity of machine learning methods for automated case identification from free-text electronic medical records.BMC medical informatics and decision making · 2013Article
- Validation of diabetes mellitus and hypertension diagnosis in computerized medical records in primary health care.BMC medical research methodology · 2011Article
- ICD-10-CM-Based Definitions for Emergency Department Opioid Poisoning Surveillance: Electronic Health Record Case Confirmation Study.Public health reports (Washington, D.C. : 1974)Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Electronic health records are increasingly used for research. The definition of cases or endpoints often relies on the use of coded diagnostic data, using a pre-selected group of codes. Validation of these cases, as 'true' cases of the disease, is crucial. There are, however, ambiguities in what is meant by validation in the context of electronic records. Validation usually implies comparison of a definition against a gold standard of diagnosis and the ability to identify false negatives ('true' cases which were not detected) as well as false positives (detected cases which did not have the condition). We argue that two separate concepts of validation are often conflated in existing studies. Firstly, whether the GP thought the patient was suffering from a particular condition (which we term confirmation or internal validation) and secondly, whether the patient really had the condition (external validation). Few studies have the ability to detect false negatives who have not received a diagnostic code. Natural language processing is likely to open up the use of free text within the electronic record which will facilitate both the validation of the coded diagnosis and searching for false negatives.
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