Sanitas makes data on COVID-19 patients admitted to the company's medical centres available to the scientific and academic community. This includes both demographic data and relevant clinical information that will facilitate research into the biggest health challenge of the last 100 years.

The information on patients made available to society by Sanitas is secure and anonymised, so that no individual can be identified.

This project is part of Sanitas Data4Good, Sanitas Open Data initiative that was created with the aim of contributing to society through data, especially in the fields of health and well-being
How to request access?
Fill-in the form with your details and purpose of the investigation
If your request is approved, we will send you the details to get access to the data.

Sanitas Data4Good Initiative

Sanitas Data4Good is a social responsibility initiative. This project contributes to the achievement of two of the Sustainable Development Goals (SDGs). Thanks to Sanitas Data4Good, society is getting closer to achieving Goal 3, to improve the health levels in society. This is also true for SDG 17, due to the creation of partnerships to achieve the goals, since the main purpose of Sanitas Data4Good is collaboration between entities and the search for better and more effective treatments.

COVID project data

Sanitas Data4Good's COVID project collects information on treatments and medications given and data on vital signs, as well as laboratory and diagnostic test results. In addition, this information is complemented by data on patients' pre-existing conditions or illnesses that doctors have noted during admission, as these are clinically relevant when treating a patient with COVID-19. The profile of patients affected by the virus is complemented by demographic data.

All the files provided contain anonymised information on patients who have been treated at Sanitas centres and have tested positive for COVID-19. The information obtained is only associated with treatment of the virus, i.e. no previous or subsequent data from the patient's medical records is provided.

COVID project data structure

The data are structured into five files (demographic data, medication, vital signs, laboratory information and diagnosis) in a table structure. Each table will have an information structure that corresponds to:

This table provides data on the socio-demographic profile of the patient, together with general information about their COVID-19 treatment process, such as dates of admission to the hospital, dates of admission to the accident and emergency department, initial diagnoses, medical vital signs on admission, etc.

This table provides data on all medication given to treated patients.

This table provides data on all vital signs collected from patients during their stay at our hospitals.

In the laboratory table you will find the results of the tests carried out on each patient during their stay and in A&E prior to this.

This table provides data on the diagnoses, procedures and neoplasms associated with the time the patient spends in our hospitals. In particular, it provides the historical data during the first 20 days of their stay.

Request for and use of Sanitas Data4Good data

Sanitas Data4Good data request

The process of requesting this open data is subject to an assessment by Sanitas. Therefore, persons or entities interested in studying SanitasData4Good data must submit a data transfer request by filling in the document that can be downloaded from the following link link and sending it to the email address

A committee of experts will be responsible for assessing the authorisation, as well as the transfer of the information and the relevance for society of the studies proposed by each organisation. Under no circumstances may the data be used for commercial purposes by either Sanitas or third parties.

If the request is approved, the confirmation email will specify the steps to follow in order to download the information.

Anonymised and secure data

SanitasData4Good data are anonymised and secure to prevent individualsfrom being identified. Under no circumstances may the data be used for commercial purposes by either Sanitas or third parties.

In order to anonymise the data, in addition to filtering the variables as much as possible and eliminating all those that are directly identifying variables, all the Patient IDs (medical record) are replaced by fictitious IDs generated incrementally from 1 to N (sample no.).

This process is carried out in the source systems, so that neither the researchers nor the Data teams have the actual identifiers of the medical records. This table of equivalence for Medical History - Fictitious ID is stored by the source system equipment, as it will be necessary to resolve any doubts researchers may have or for future new versions of the information in which more tables or fields are provided.

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