The aim of the project is to better understand the Covid-19 inpatient course of the disease and to quickly identify the positive experiences in the treatment in order to update guidelines for the treatment and use of medication.
The exponentially increasing number of SARS-CoV-2 infected people, despite the influence of
the currently existing non-medical measures, is generating a rapidly increasing number of
inpatients, some of whom need artificial ventilation. The average focus is on the extent to
which the hospitals' capacities will be sufficient to adequately treat all patients.
Regardless of this, it can be expected that even if the non-medical measures are successful,
the number of inpatients treated will remain high in the course of the pandemic. With regard
to the distribution of infection, it can be expected that clinics with a wide range of
expertise will have to treat a large number of Covid-19 patients.
So far, however, there is little to no experience in treating patients. In addition to
epidemiological data, only case descriptions and some Chinese studies mostly from Wuhan based
on fewer patients are available. In view of the rapidly spreading pandemic, preprints are
increasingly being used. What has been missing so far is a uniform, structured recording of
the courses of Covid-19 inpatients handled by many clinics, which goes beyond the
epidemiological events in terms of depth of detail. With this documentation of real
processes, the basis for a large number of studies and the associated better understanding of
the disease process could be created.
The current dynamics make it imperative that the clinics, even those who have not received
the most up-to-date scientific knowledge, cannot wait for the results of studies, but rather
need concrete help in the treatment of patients. Efficient assistance within the framework of
a close exchange between the treatment units is only possible with a multicentre, uniform
documentation environment.
The aim of the project is to better understand the Covid-19 inpatient course of the disease
and to quickly identify the positive experiences in the treatment in order to update
guidelines for the treatment and use of medication.
Inclusion Criteria:
- Covid-19 inpatients
Exclusion Criteria:
- assumed Covid-19 patient
RoMed - Klinikum Bad Aibling
Bad Aibling, Germany
DONAUISAR Klinikum Deggendorf
Deggendorf, Germany
DONAUISAR Klinikum Dingolfing
Dingolfing, Germany
RoMed - Klinikum Prien am Chiemsee
Prien, Germany
RoMed - Klinikum Rosenheim
Rosenheim, Germany
Universitätsklinikum Ulm
Ulm, Germany
RoMed - Klinikum Wasserburg Am Inn
Wasserburg Am Inn, Germany
Klinikum Altmühlfranken
Weißenburg, Germany
Timiş County Emergency Clinical Hospital
Timisoara, Romania
Julia Ferencz, MD
+4917687607223
j.ferencz@clardata.com
Sebastian Dieng
+4915140212025
s.dieng@clardata.com