Sentence examples for medications were generated from inspiring English sources

Summary statistics for the clinical scales and the profile of comorbidities and number of concomitant medications were generated.

Because the required elements for a prescription varied by medication, a table of the possible error types for each medication was generated.

Medication overviews were generated from the ICU Patient Data Management System and were analyzed for each patient during the patient rounds.

As participants noted that they were woken up when symptoms worsened and sometimes had to use rescue medication, two items were generated: one to capture the occurrence of nocturnal awakening due to COPD symptoms and a second to assess the number of times rescue medication was used.

At the end of the pre- and post-implementation data collection periods (13 weeks each: July-October 2012 and July-October 2013), reports summarising all home visits with one or more medication-related activity code were generated.

Reports summarising medication incidents (e.g. administration errors) were generated from the organisation's incident reporting system.

As the major interest of our study concerned the different effect of medication or saline on painful stimulation, contrast images for every subject were generated to identify regions showing increased activation during painful stimulation compared to air puffs in medication vs. saline conditions [Saline session ("ammonia > air puffs") > Medication session ("ammonia > air puffs")].

Descriptive statistics were generated to describe the sample as well as use of over-the-counter and prescription sleep medications.

Offshore, rough seas were generated.

Other mutants were generated similarly.

Three different founders were generated.