Systematic measurement errors in electronic health record databases can lead to large inferential errors. Validation techniques can help determine the degree of these errors and therefore aid in the interpretation of findings. http://ow.ly/iHQ630np4xU
Background: The use of electronic medical records (EMRs) offers opportunity for clinical epidemiolog...
The objective of this study was to resolve the problem whereby data entry error rates are compounded...
Background: Considerable interest exists on using general practice electronic health records (EHR) f...
Systematic measurement errors in electronic health record databases can lead to large inferential er...
Systematic measurement errors in electronic health record databases can lead to large inferential er...
Electronic health records are increasingly used for research. The definition of cases or endpoints o...
Introduction No doubt your Electronic Health Records have been meticulously gathered, imported, vali...
Electronic health records are increasingly used for research. The definition of cases or endpoints o...
BACKGROUND: MedicineInsight is a database containing de-identified electronic health records (EHRs) ...
International audienceBackground: Diagnosis performances of case-identifying algorithms developed in...
Analysis of electronic health records (EHRs) is an increasingly common approach for studying real-wo...
Background MedicineInsight is a database containing de-identified electronic health records (EHRs) ...
There is a strong and continuously growing interest in using large electronic healthcare databases t...
Diagnosis codes in administrative health databases (AHDs) are commonly used to ascertain chronic dis...
Background: The use of electronic medical records (EMRs) offers opportunity for clinical epidemiolog...
The objective of this study was to resolve the problem whereby data entry error rates are compounded...
Background: Considerable interest exists on using general practice electronic health records (EHR) f...
Systematic measurement errors in electronic health record databases can lead to large inferential er...
Systematic measurement errors in electronic health record databases can lead to large inferential er...
Electronic health records are increasingly used for research. The definition of cases or endpoints o...
Introduction No doubt your Electronic Health Records have been meticulously gathered, imported, vali...
Electronic health records are increasingly used for research. The definition of cases or endpoints o...
BACKGROUND: MedicineInsight is a database containing de-identified electronic health records (EHRs) ...
International audienceBackground: Diagnosis performances of case-identifying algorithms developed in...
Analysis of electronic health records (EHRs) is an increasingly common approach for studying real-wo...
Background MedicineInsight is a database containing de-identified electronic health records (EHRs) ...
There is a strong and continuously growing interest in using large electronic healthcare databases t...
Diagnosis codes in administrative health databases (AHDs) are commonly used to ascertain chronic dis...
Background: The use of electronic medical records (EMRs) offers opportunity for clinical epidemiolog...
The objective of this study was to resolve the problem whereby data entry error rates are compounded...
Background: Considerable interest exists on using general practice electronic health records (EHR) f...
DOI
Add to ORKG