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Research is tomorrow’s treatment

Advances in medicine and innovations promoting health and well-being serve both individuals, population health and economics.

Data accrued from patient care is a valuable source of information. However, this data is difficult to be utilized for the development of treatment practices and research. The data is hierarchical in structure and technically scattered.
Auria Clinical Informatics organizes, harmonises and maintains the clinical patient data of the Hospital District of Southwest Finland so that the data is as accessible as possible to researchers and other experts. We find tailored solutions to collaborate with healthcare professionals to solve various research questions using scientific methods.

The high-quality healthcare in Finland is based on scientifically proven knowledge. Research with patient register data is the cornerstone of future care.


Different use cases of patient register data

The personal and treatment data of patients is nowadays always recorded in an electronical patient register in Finland. This data must be kept confidential and only the persons involved in patient care are allowed to access, review or pass on the data. In addition, it is possible to collect and use patient data for example for scientific research. Data can only be given to an external party with patient consent or a legal obligation. Every citizen also has the right to inspect their own data in the patient register.

Primary use of patient data means using the data for the purpose for which is the data was originally recorded in the patient register. Primary use of data therefore means for example patient diagnosis, treatment or rehabilitation and, respectively, the service of a social care customer or the processing of social benefits.

Secondary use of patient data means using the data for other purposes than for the ones mentioned above. According to the Act on Secondary Use of Social and Health Data acceptable secondary uses are scientific research, statistics, development and innovation, teaching, data-driven management and the planning and control tasks of authorities.

Auria Clinical Informatics operates under national legislation and the rights and obligations defined by the EU GDPR.

Scientific research to promote the best interests of patients

Artificial intelligence, agile use of large quantities of data and international collaboration with academic researchers open new possibilities in research based on healthcare data.

With research, treatments become more targeted, effective and smoother. Research can also produce unanticipated knowledge with direct benefits for the treatment decisions concerning a single patient.

The law protects the patient

Data in the patient register is always processed according to the legal requirements in a confidential and secure manner. There are several laws to protect patient data confidentiality such as the patients’ rights, openness of government activities, rights of social welfare clients, statistics and secondary use of social and health data.

In addition, the EU GDPR defines how personal data can be used in the EU. Please read more about the legal basis of using confidential information.

Secure secondary use of patient data

The treatment records of an individual patient may be used not only for organizing her own treatment but also for researching the disease in question or for developing treatments for other patients with the same disease.

All data handling operations are carried out according to the data protection law and other relevant laws which protect the identity of the research subjects and ensure good scientific practices and the transparency of research.

For what purposes and how do we utilise data?

Data generated in patient care is a valuable source of information and we help utilize it wisely. With this data, it is possible to improve and monitor the quality of a given treatment. Research helps answer questions related to for example to the effectiveness of given treatments, best treatment practices and the frequency of possible adverse events.

Reliable data can also be used as a basis for developing mathematical diagnostic and prognostic software. In the future, this type of software can recognize high risk patients earlier than before and thus guide treatment practices.

AURIA CLINICAL INFORMATICS


  Auria Clinical Informatics/ Tyks Building 11 B
PL 52, 20521 Turku

   tutkimuksentietopalvelut(at)varha.fi

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