Generative ai assistant – a paradigm shift in burden assessment for cancer and mental health care
Tender Summary
The RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG in Belgium from Europe region has released this tender for Generative ai assistant – a paradigm shift in burden assessment for cancer and mental health care Millions of Europeans affected by breast cancer and depression face unrecognised physical, psychological, social and financial burdens, while clinicians struggle with fragmented data and health systems lack equity-sensitive intelligence. The ResPECT project will change paradigms in burden management by moving beyond static patient-reported outcomes measure (PROM)-based monitoring; we will deliver the first end-user–driven Generative AI Virtual Assistant to systematically capture patient narratives, transform them into actionable intelligence, and integrate them into clinical care and policy planning. ResPECT pursues six objectives: (1) enable patients to express lived experiences in their own words; (2) translate narratives into guideline-linked recommendations; (3) demonstrate clinical effectiveness in a randomised trial; (4) validate AI-derived burden scores against gold-standard PROMs; (5) provide real-time, equity-focused insights for health systems; (6) ensure inclusivity, safety and trust through participatory co-design and compliance with GDPR and the EU AI Act. The consortium of leading clinical centres, AI innovators, patient organisations, and policy experts will co-create and deploy a Medical Assistant embedded in electronic health records and a Policy Assistant aligned with WHO frameworks. Clinical validation through a randomised trial across eight countries, combined with health technology and equity impact assessments, will establish robust evidence for safety, effectiveness and cost-effectiveness. Progressing from TRL 4 to TRL 7, ResPECT directly responds to the Horizon Europe call by advancing trustworthy, user-centric Generative AI solutions that improve quality of life, reduce health care professional (HCP) workload and strengthen health system responsiveness. It aligns with the EU Cancer Mission and the EU Comprehensive Approach to Mental Health, providing scalable and transferable innovations that place patients and HCP at the centre of care. with tender notice no. 101287711 published on 08 Oct 2026. The tender is due to expire on 30 Sep 2030. This tender is sourced from Cordis and is eligible for suppliers interested in Health services. Interested bidders can obtain further information including complete bid documents or ways to participate by registering on Tender Impulse and referencing via Tender Impulse ID 15306686.
Tender Details
Tender NoticeTI Ref: 15306686
Tender Notice No
101287711
Tender Organisation
RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG
Tender Sector
Tender Service
Worldwide
Tender Region
Tender Project Location
Tender CPV
85100000 : Health services
Tender Source
Cordis
Tender Document Type
Tender Notice
Tender Deadline
30 Sep 2030 1447 days left
Tender Description
Generative ai assistant – a paradigm shift in burden assessment for cancer and mental health care Millions of Europeans affected by breast cancer and depression face unrecognised physical, psychological, social and financial burdens, while clinicians struggle with fragmented data and health systems lack equity-sensitive intelligence. The ResPECT project will change paradigms in burden management by moving beyond static patient-reported outcomes measure (PROM)-based monitoring; we will deliver the first end-user–driven Generative AI Virtual Assistant to systematically capture patient narratives, transform them into actionable intelligence, and integrate them into clinical care and policy planning. ResPECT pursues six objectives: (1) enable patients to express lived experiences in their own words; (2) translate narratives into guideline-linked recommendations; (3) demonstrate clinical effectiveness in a randomised trial; (4) validate AI-derived burden scores against gold-standard PROMs; (5) provide real-time, equity-focused insights for health systems; (6) ensure inclusivity, safety and trust through participatory co-design and compliance with GDPR and the EU AI Act. The consortium of leading clinical centres, AI innovators, patient organisations, and policy experts will co-create and deploy a Medical Assistant embedded in electronic health records and a Policy Assistant aligned with WHO frameworks. Clinical validation through a randomised trial across eight countries, combined with health technology and equity impact assessments, will establish robust evidence for safety, effectiveness and cost-effectiveness. Progressing from TRL 4 to TRL 7, ResPECT directly responds to the Horizon Europe call by advancing trustworthy, user-centric Generative AI solutions that improve quality of life, reduce health care professional (HCP) workload and strengthen health system responsiveness. It aligns with the EU Cancer Mission and the EU Comprehensive Approach to Mental Health, providing scalable and transferable innovations that place patients and HCP at the centre of care.
Tender Bidding Type
Tender Document
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Frequently Asked Questions About This Tender
Who has issued this tender, and what is it for?
The tender has been issued by RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG in Belgium. Such a type of tender falls under Health services, within the IT-Software sector, and is listed on Tender Impulse under notice number 101287711.
What are the key dates for this tender?
The notice was published on 08 Oct 2026 and submissions close on 30 Sep 2030. Late bids are rarely accepted in public procurement, so aim to have your documents ready several days before the closing date.
Which CPV codes apply to this tender?
It is classified under CPV codes 85100000, which correspond to Health services. If your company supplies these products or services, these are the codes to save in your alert profile so no matching tender passes you by.
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The procurement is applicable to companies in the Health services and related industries. If you belong to this industry, you can review the technical documents before assessing your relevance to your company.
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