Objective To describe the methods used to validate asthma diagnoses in electronic health
records and summarize the results of the validation studies. Background Electronic health …

Clinical decisions are crucial because they are related to human lives. Thus, managers and
decision makers in the clinical environment seek new solutions that can support their …

Objectives The optimal method of identifying people with asthma from electronic health
records in primary care is not known. The aim of this study is to determine the positive …

Background The need is growing to create medical big data based on the electronic health
records collected from different hospitals. Errors for sure occur and how to correct them …

Cognitive function is an important end point of treatments in dementia clinical trials.
Measuring cognitive function by standardized tests, however, is biased toward highly …

Background Increasing digitalization in the medical domain gives rise to large amounts of
health care data, which has the potential to expand clinical knowledge and transform patient …

Background Modern data-driven approaches to medical research require patient-level
information at comprehensive depth and breadth. To create the required big datasets …

Background Secondary use of routine medical data is key to large-scale clinical and health
services research. In a maximum care hospital, the volume of data generated exceeds the …

Background: Integrated data repositories (IDRs), also referred to as clinical data
warehouses, are platforms used for the integration of several data sources through …

Background The identification of patient cohorts for recruiting patients into clinical trials
requires an evaluation of study-specific inclusion and exclusion criteria. These criteria are …