European health data space It carries a great promise to transform health care, research and innovation throughout Europe. The main goals of EHDs, launched by the European Commission in 2022, revolve around improving health care, research, policy and empowerment of the patient.
One of its main promises is to progress in the field of research and public health health by facilitating the creation of large -scale healthy and high -quality healthy data groups, which are necessary to develop new treatments and precision medicine.
For individuals, EHDS allows digital access to electronic health records (EHRS), medical prescriptions, medical images, laboratory results, and discharge reports throughout Europe.
The challenge of data format for smooth reuse
The European Commission set an ambitious goal: by 2030, all citizens in all parts of Europe will have their full data.
However, despite its capabilities, the current EHDS framework represents two critical challenges:
- Although he is designed for the benefit of the wider population, he does not address and control the individual needs of patients.
- The process of creating complex and non -effective secondary data groups remains due to insecurity and the inability to operate within the patient’s individual records.
To improve the uses of secondary data, personal health data must be coordinated first instead of extracting it by formatting its source and then coordinating each use. Currently, the data organizing and publishing it after extracting for secondary use is expensive and takes a long time and can only be controlled by experts. As a result, we lose large quantities of data, and there are limited benefits for the patient, which remains with heterogeneous data with optimal quality.
To address these challenges, a 14 partner union has been launched AidavaThe Europe Horizon Project. The project began in 2022, and aims to address how patient health data is managed, integrated, ingenuity and used throughout Europe by developing a virtual assistant moved by AI. Through Aidava, the partners aim to provide patients with high -quality personal health records, and to provide personal care while facilitating the use of secondary and high -quality secondary data.
Access to all their personal health information is a challenge for citizens and patients because it is spread through various systems. Even healthcare professionals cannot always access or not spray this data. In addition, health data is in heterogeneous coordination and is vulnerable to error (up to 10 % of records contains life -threatening possible errors). Aidava is looking for virtual aides of artificial intelligence to help him facilitate the integration process and quality improvement quality.
“How” to reuse data
This project for four years contains two main goals:
- Mimic up automation in organizing personal health data to increase the susceptibility to reuse.
- Test the solution with three concrete procedures:
- Establishing a breast cancer record at the European Union level, and integrating data from three federal centers in various countries and languages.
- Automatically calculates a smart risk degree to support the follow -up of cardiovascular patients with a modern history of myocardial infarction.
- Create an individual patient summary (IPS) in formatting the electronic health records required by EHDS (EHRXF), which reduces the burden on data holders to generate these emerging standards.
Consortium focuses its efforts on organizing data by integrating all data from multiple sources connected to each individual, then cleaning and homogeneous. AI’s virtual assistant will help individuals coordinate data and science issues that require human intervention either by the patient or their assigned trustee.
“Most healthcare initiatives, including EHDS, focus on population data. This does not benefit every patient with patient records that are still heterogeneous and at risk; in addition, repeated coordination of the source data for secondary use at the level of population is not sustainable” in December health. “
“Aidava proposes to increase the automation of organizing individual health records and reduce the need for human intervention with artificial intelligence techniques. Results from the first generation of the initial model-which was tested by patients in hospitals-is promising and proves that this may be the right direction to solve the problem of long non-operation of the overlapping in Healthcare.”
Isabel De Zigger will be in HIMSS Europe In Paris from June 10 to 12, the progress of the Aidava project and the initial results.
