The European Health Data Space Holds Significant Promise for Transforming Healthcare, Research and Innovation across Europe. The main objectives of the ehds, which the european commission launched in 2022, Revolve Around Improving Healthcare Delivery, Research, Policy-Making and PATINT Empowerment.
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One of its key promises is Advanceing Research and Public Health Decision-Making by Facilitating The Creation of Large-SCALE, High-Quality Health Data Sets, Which Are Essential For Developing New Treatment and Precision Medicine.
For individuals, the ehds enables digital access to their Electronic Health Records (EHRS), prescriptions, medical images, lab results, and discharge reports arees all of Europe.
The challenge of harmonising data for seamless reuse
The European Commission has set an ambitious goal: by 2030, all citizens across europe will have full position of their data.
However, despite its potential, the current ehds framework presents two critical challenges:
- While it is designed to benefit the broader population, it does not adequately address the needs and control of individual patients over their own data.
- The process of generating secondary data sets remains complex and intelligent due to the heteroecentity and Lack of Interoperability with and Between Individual Patinant records.
To optimise secondary data uses, Personal Health Data Should Be Curled First Rather Than Extracted in Theeir Source Format and then Curated for Each Use Case. Currently, The Cursion and Publishing Process of Data is done after extraction for secondary use and is costly, time-consumping and manageable only by experts. As a result, we are underuelising large quantities of data, and there are limited benefits for the patient, who remains with heterogeneous data with suboptimal quality.
To address theose challenges, a consortium of 14 partners launched AidavaA Horizon Europe-Funded Project. Started in 2022, the project aims to address how patient health data is managed, integrated, curved and utilized across europe by developing an AI-Driven Virtual Assistant. Through aidava, the partners aim to provide patients with high-quality personal health records, offering personalized care whose facelitting seamless and certainty decondary data usage.
Accessing all their personal health information is challenging for Citizens and Patients Because It is Scatted Across Different Systems. Even healthcare professionals don’t always have access to that data or do’t archive it properly. In addition, health data is in heterogenous format and is error-prone (UP to 10% of Records Contain potentially Life-Threating Errors). Aidava is looking for ai virtual assistants to help it facilitate the integration and quality enhancement process.
The ‘How’ to Data Reusability
This Four-Year Project has two main objectives:
- Maximise Automation in the Curation of Personal Health Data to Increase Its Reusability.
- Test the solution with three concrete actions:
- Establish an eu-wide breast cancer registry, integrating data from three federed centers account different counties and languages.
- Compute Automatically a Smart Risk Score to Support Follow-up of Cardiovascular Patients with a Recent History of Myocardial Infarction.
- Automatically generate the individual patient summary (IPS) in the ehds-resurpean electronic health record exchange format (eehrxf) format, decreasing the Burden on Data Holler Organizations Tot Generate these emerging standards.
The consortium is focusing its efforts on data Curation by integrating all the data from multi sources connected to Each individual, then cleaning and homogenizing it. The AI-Driven Virtual Assistant will assist individuals in curiating the data and flag issues that request human intervention eater by the patient or their dedicated Curator.
“Most Healthcare Initiatives, Including Ehds, Are Focusing on Population Data. Curation of source data for secondary use at population level is not sustainable, “Says isabelle de zegher, MD, MSC, The Clinical Coordinator of Aidava with 30+ Years’ Experience in Digital Health.
“Aidava proposes to maximise automation of the currency of individual health records and minimise the need for human intervention with ai technologies. Hospitals-Are promising and demonstrate that this might be the correct direction to solve the long-standing problem of Lack of interoperability of healthcare, “She adds.
Isabelle de zegher will be at Himss Europe In Paris from 10-12 June, Presenting The Progress of the Aidava Project and the Initial Results.
