Periodic Reporting for period 1 - HosmartAI (Hospital Smart development based on AI)
Reporting period: 2021-01-01 to 2022-01-31
The main objective of HosmartAI is to promote an effective and efficient health care system transformation, by the use of AI technological developments and robotics. In order to achieve this transformation HosmartAI will introduce an AI platform that will allow for core facilities to be shared and linked composing smart services for healthcare professionals, patients, information system managers, and health organisation administrations.
HosmartAI is creating a common open Integration Platform with the necessary tools to facilitate and measure the benefits of integrating digital technologies (robotics and AI) in the healthcare system. A central hub will offer multi-faceted lasting functionalities (Marketplace, Co-creation space, Benchmarking) to healthcare stakeholders, combined with a collection of methods, tools and solutions to integrate and deploy AI-enabled solutions. The Benchmarking tool will promote the adoption in new settings, while enabling a meeting place for technology providers and end-users.
Eight Large-Scale Pilots will implement and evaluate improvements in medical diagnosis, surgical interventions, prevention and treatment of diseases, and support for rehabilitation and long-term care in several hospital and care settings. The project targets different medical aspects or manifestations such as Cancer (Pilot #1, #2 and #8); Gastrointestinal (GI) disorders (Pilot #1); Cardiovascular diseases (Pilot #1, #4, #5 and #7); Thoracic Disorders (Pilot #5); Neurological diseases (Pilot #3); Elderly Care and Neuropsychological Rehabilitation (Pilot #6); Fetal Growth Restriction (FGR) and Prematurity (Pilot #1).
To ensure a user-centred approach, harmonization in the process (e.g. regarding ethical aspects, standardization, and robustness both from a technical and social and healthcare perspective), the living lab methodology is being used. HosmartAI has identified appropriate KPIs that measure efficiency without undermining access or quality of care. Liaison and co-operation activities with relevant stakeholders and open calls will enable ecosystem building and industrial clustering.
HosmartAI brings together a consortium of leading organizations (3 large enterprises, 8 SMEs, 5 hospitals, 4 universities, 2 research centres and 2 associations) along with several more committed organizations. Two Open Calls are planned to further engange third parties.
HosmartAI is creating a common open Integration Platform with the necessary tools to facilitate and measure the benefits of integrating digital technologies (robotics and AI) in the healthcare system. A central hub will offer multi-faceted lasting functionalities (Marketplace, Co-creation space, Benchmarking) to healthcare stakeholders, combined with a collection of methods, tools and solutions to integrate and deploy AI-enabled solutions. The Benchmarking tool will promote the adoption in new settings, while enabling a meeting place for technology providers and end-users.
Eight Large-Scale Pilots will implement and evaluate improvements in medical diagnosis, surgical interventions, prevention and treatment of diseases, and support for rehabilitation and long-term care in several hospital and care settings. The project targets different medical aspects or manifestations such as Cancer (Pilot #1, #2 and #8); Gastrointestinal (GI) disorders (Pilot #1); Cardiovascular diseases (Pilot #1, #4, #5 and #7); Thoracic Disorders (Pilot #5); Neurological diseases (Pilot #3); Elderly Care and Neuropsychological Rehabilitation (Pilot #6); Fetal Growth Restriction (FGR) and Prematurity (Pilot #1).
To ensure a user-centred approach, harmonization in the process (e.g. regarding ethical aspects, standardization, and robustness both from a technical and social and healthcare perspective), the living lab methodology is being used. HosmartAI has identified appropriate KPIs that measure efficiency without undermining access or quality of care. Liaison and co-operation activities with relevant stakeholders and open calls will enable ecosystem building and industrial clustering.
HosmartAI brings together a consortium of leading organizations (3 large enterprises, 8 SMEs, 5 hospitals, 4 universities, 2 research centres and 2 associations) along with several more committed organizations. Two Open Calls are planned to further engange third parties.
In its first year HosmartAI has set the foundations on which its results are being developed.
The relevant background knowledge has been analyzed, user and technical requirements have been detailed, the conseptual architecture has been verified and KPIs have been defined. A living labs methodology has been applied and several sprints are planned to develop and refine the results.
Key pillars (on data models and semantici interoperability, AI tools, benchmarking framework, security/dat aprotection privacy/traceability/governance, data sharing and blockchain) have been specified and are currently implemented.
A set of AI-based tools to address specific healthcare challenges (on diagnosis revolution, logistic improvement, treatment improvement, surgical support, assistive care, personalised treatment) has been specified and are currently implemented.
A first reference architecture of the HosmartAI platform has been specified and all the platform components are currently implemented.
The 8 large scale HosmartAI pilots have been specified and their protocols have been submitted for evaluation. Pilots are focusing on applying AI and Robotics across their range of functions from screening and prevention (Pilot #6) and diagnosis, treatment and surgical support (Pilots #1, #3, #4, #5, #7 and #8) to organizational aspects and logistics in hospitals (Pilot #2).
Early in the project, the plan for dissemination,communication and ecosystem building was prepared. Several activities followed, adjusted to the Covid-19 related restrictions. The several datasets used in the various HosmartAI activities were identified and a first data management plan was prepared. The first Open Call was prepared with it launching in February 2022.
The project innovation management process was determined. Initial identification of exploitable assets and their business placement is under way.
HosmartAI has also studied its compliance with applicable laws and regulations as well as relevant ethical and social norms, developing a compliancie framework and executing an impact assessment.
The relevant background knowledge has been analyzed, user and technical requirements have been detailed, the conseptual architecture has been verified and KPIs have been defined. A living labs methodology has been applied and several sprints are planned to develop and refine the results.
Key pillars (on data models and semantici interoperability, AI tools, benchmarking framework, security/dat aprotection privacy/traceability/governance, data sharing and blockchain) have been specified and are currently implemented.
A set of AI-based tools to address specific healthcare challenges (on diagnosis revolution, logistic improvement, treatment improvement, surgical support, assistive care, personalised treatment) has been specified and are currently implemented.
A first reference architecture of the HosmartAI platform has been specified and all the platform components are currently implemented.
The 8 large scale HosmartAI pilots have been specified and their protocols have been submitted for evaluation. Pilots are focusing on applying AI and Robotics across their range of functions from screening and prevention (Pilot #6) and diagnosis, treatment and surgical support (Pilots #1, #3, #4, #5, #7 and #8) to organizational aspects and logistics in hospitals (Pilot #2).
Early in the project, the plan for dissemination,communication and ecosystem building was prepared. Several activities followed, adjusted to the Covid-19 related restrictions. The several datasets used in the various HosmartAI activities were identified and a first data management plan was prepared. The first Open Call was prepared with it launching in February 2022.
The project innovation management process was determined. Initial identification of exploitable assets and their business placement is under way.
HosmartAI has also studied its compliance with applicable laws and regulations as well as relevant ethical and social norms, developing a compliancie framework and executing an impact assessment.
A Participatory Design process has been defined, based on the living labs methodology, to facilitate continuous engagement of stakeholders and improvement of results. The development is under way with results and impact expected in the next months.
As part of the HosmartAI potential impact, we expect very strong impact on:
* Pilot solutions for the smart hospital of the future are expected tol emerge, enabled by open system platforms
* The demonstration of the effectiveness of AI-based technologies, such as smart robots in a range of healthcare tasks
* Providing an effective basis for developing deployable applications
* Contributing to trust and acceptance building in AI technology among all healthcare stakeholders
We also expect to engage healthcare policy makers, investors, stakeholders and to reach a high leveraging effect on other sources of funding.
Last but not least, additional specific impact is expected from the pilots in the medical fields of cancer, gastrointestinal disorders, cardiovascular diseases, thoracic disorders, neurological diseases, ageing & elderly care, pregnancy.
As part of the HosmartAI potential impact, we expect very strong impact on:
* Pilot solutions for the smart hospital of the future are expected tol emerge, enabled by open system platforms
* The demonstration of the effectiveness of AI-based technologies, such as smart robots in a range of healthcare tasks
* Providing an effective basis for developing deployable applications
* Contributing to trust and acceptance building in AI technology among all healthcare stakeholders
We also expect to engage healthcare policy makers, investors, stakeholders and to reach a high leveraging effect on other sources of funding.
Last but not least, additional specific impact is expected from the pilots in the medical fields of cancer, gastrointestinal disorders, cardiovascular diseases, thoracic disorders, neurological diseases, ageing & elderly care, pregnancy.