ArticleUpsala journal of medical sciences2012
Automated data extraction--a feasible way to construct patient registers of primary care utilization.
Article in Upsala journal of medical sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Pneumonia and pneumonia related mortality in patients with COPD treated with fixed combinations of inhaled corticosteroid and long acting β2 agonist: observational matched cohort study (PATHOS).BMJ (Clinical research ed.) · 2013Trial
- Automated data extraction of electronic medical records: Validity of data mining to construct research databases for eligibility in gastroenterological clinical trials.Upsala journal of medical sciences · 2022Article
- Article
- Recurrent heart failure hospitalizations increase the risk of cardiovascular and all-cause mortality in patients with heart failure in Sweden: a real-world study.ESC heart failure · 2021Article
- Impact of Comorbidities and Commonly Used Drugs on Mortality in COPD - Real-World Data from a Primary Care Setting.International journal of chronic obstructive pulmonary disease · 2020Observational
- Epidemiology of Pulmonary Fibrosis: A Cohort Study Using Healthcare Data in Sweden.Pulmonary therapy · 2019Article
- Health care resource utilization and cost for asthma patients regularly treated with oral corticosteroids - a Swedish observational cohort study (PACEHR).Respiratory research · 2018Observational
- Prevalence, characteristics and management of frequently exacerbating asthma patients: an observational study in Sweden (PACEHR).The European respiratory journal · 2018Observational
- Prevalence and management of severe asthma in primary care: an observational cohort study in Sweden (PACEHR).Respiratory research · 2018Observational
- Factors associated with lung cancer in COPD patients.International journal of chronic obstructive pulmonary disease · 2018Observational
- Risk of mortality and recurrent cardiovascular events in patients with acute coronary syndromes on high intensity statin treatment.Preventive medicine reports · 2017Article
- Evaluation of the use of Swedish integrated electronic health records and register health care data as support clinical trials in severe asthma: the PACEHR study.Respiratory research · 2016Observational
- Clinical Effectiveness of Liraglutide vs Sitagliptin on Glycemic Control and Body Weight in Patients with Type 2 Diabetes: A Retrospective Assessment in Sweden.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2016 · on this mapArticle
- Association Between Paradoxical HDL Cholesterol Decrease and Risk of Major Adverse Cardiovascular Events in Patients Initiated on Statin Treatment in a Primary Care Setting.Clinical drug investigation · 2016Article
- Diabetes and CVD risk during angiotensin-converting enzyme inhibitor or angiotensin II receptor blocker treatment in hypertension: a study of 15,990 patients.Journal of human hypertension · 2014Article
- Management, morbidity and mortality of COPD during an 11-year period: an observational retrospective epidemiological register study in Sweden (PATHOS).Primary care respiratory journal : journal of the General Practice Airways Group · 2014Observational
- Associations of HbA1c and educational level with risk of cardiovascular events in 32,871 drug-treated patients with Type 2 diabetes: a cohort study in primary care.Diabetic medicine : a journal of the British Diabetic Association · 2013Article
- Predicting Hospitalization Due to COPD Exacerbations in Swedish Primary Care Patients Using Machine Learning - Based on the ARCTIC Study.International journal of chronic obstructive pulmonary diseaseArticle
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
introductionElectronic medical records (EMRs) enable analysis of health care data by using data mining techniques to build research databases. Though the reliability of the data extraction process is crucial for the credibility of the final analysis, there are few published validations of this process. In this paper we validate the performance of an automated data mining tool on EMR in a primary care setting.
methodsThe Pygargus Customized eXtraction Program (CXP) was programmed to find and then extract data from patients meeting criteria for type 2 diabetes mellitus (T2DM) at one primary health care clinic (PHC). The ability of CXP to extract relevant cases was assessed by comparing cases extracted by an EMR integrated search engine. The concordance of extracted data with the original EMR source was manually controlled.
resultsPrevalence of T2DM was 4.0%, which correspond well to previous estimations. By searching for drug prescriptions, diagnosis codes, and laboratory values, 38%, 53%, and 91% of relevant cases were found, respectively. The sensitivity of CXP regarding extraction of relevant cases was 100%. The specificity was 99.9% due to 12 non-T2DM cases extracted. The congruity at single-item level was 99.6%. The 13 incorrect data items were all located in the same structural module.
conclusionThe CXP is a reliable and accurate data mining tool to extract selective data from EMR.
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