OMOP Common Data Model

Step 1: Define a cohort of patients exposed to a specific drug using ATLAS.

Step 2: Identify potential ADEs by searching for specific medical concepts in the OMOP CDM data.

Step 3: Calculate the incidence rate of potential ADEs in the exposed cohort.

Step 4: Compare the incidence rate of potential ADEs in the exposed cohort to a control cohort.

Step 1: Define cohorts of patients receiving different treatments for the same condition using ATLAS.

Step 2: Measure the outcomes of interest in each cohort, such as mortality, hospitalization, or disease progression.

Step 3: Adjust for potential confounding factors using statistical methods.

Step 4: Compare the outcomes of interest between the different treatment cohorts.

Step 1: Define the disease of interest using medical concepts in the OMOP CDM.

Step 2: Identify all patients in the database with the disease.

Step 3: Calculate the prevalence and incidence of the disease in the population.

Step 4: Stratify the prevalence and incidence by demographic factors such as age, sex, and race.

Step 1: Identify all healthcare services used by a cohort of patients.

Step 2: Measure the frequency and cost of each service.

Step 3: Identify areas where resource utilization can be improved.

Step 4: Implement interventions to reduce unnecessary resource utilization.

Step 1: Define the inclusion and exclusion criteria for the clinical trial.

Step 2: Identify all patients in the database who meet the inclusion criteria.

Step 3: Assess the availability of data required for the clinical trial.

Step 4: Estimate the number of patients who would be eligible for the clinical trial.