Clinerion is focused on working with the hospitals and clinical researchers in our network to actively identify COVID-19 patients. Using previous and current coding schemata, we support research and real-world evidence (RWE) queries for COVID-19 cases, as well as for conditions that are associated with SARS-CoV-2 infections.
We work diligently with our partners and hospital networks to support the community, enable patient outreach, and facilitate longitudinal epidemiological studies.
Clinerion looks forward to engaging with partners and clients to identify and track cohorts, treatments and outcomes that will improve management of COVID-19 patients.
Example charts from Clinerion's COVID-19 Report.
This report is a snapshot of statistics derived from Patient Network Explorer data*, and contains information on:
Numbers of COVID-19 cases derived from Patient Network Explorer.
New and cumulative COVID-19 cases – by date & country, and by age & gender.
Top 30 findings (ICD-10) / medications (ATC) with COVID-19 diagnoses.
Top 50 procedures / lab tests of patients with COVID-19 diagnosis.
List of test medication observed.
Number of COVID-19 patients in Patient network Explorer receiving test medications.
To download the report, please fill in the form below.
As COVID-19 is a relatively new disease, electronic coding standards are just starting to be introduced.** This report is generated from the global hospital network currently covered by Patient Network Explorer, querying the following ICD-10 codes:
- U07.1 (COVID-19, virus identified)
- U07.2 (COVID-19, suspected)
- U07.3 (COVID-19, virus identified, region specific)
- B34.2 (Coronavirus infection)
- B97.2 (Coronavirus as Cause of Disease Classified to other Chapters)
* Patient Network Explorer’s global patient network covers >27 million patients and is based on near-real time EMR records within Clinerion’s partner hospitals around the world. Our data is updated daily and allows near-real time queries on patient cohorts.
** The limit on laboratory testing and the outsourced nature of confirmatory testing applying various methods including quantitative PCR, mean that EMR data may vary among healthcare institutions from the different countries in our network and may experience changes over time.