AI in healthcare establishments: it is already a reality!
Helping in the diagnosis and choice of treatments, the forecasting of patient flows or even the automation of tasks: in all areas, artificial intelligence is improving the performance of healthcare establishments.
Healthcare professionals are using these technologies to create solutions that concretely improve patient care and experience and optimize the internal organization of structures.
To support its implementation, Anap is launching a national platform to share AI solutions. It allows referencing projects carried out in health establishments and sharing key information about their design and deployment, in order to inspire all health agents.
” This platform is an exchange space open to all professionals. Our goal: to give visibility to the artificial intelligence solutions implemented and to capitalize on these experiences! Artificial intelligence is an important performance lever for healthcare facilities: to deliver better care, to optimize care, and to save valuable time by automating certain administrative tasks. I call on professionals to take advantage of our platform, share their solutions or come and find useful information for their projects. says the CEO of Anap, Stéphane Pardoux.
AI in healthcare: a performance lever for healthcare facilities
Thanks to the digitization of the health system, more and more data is available. They allow artificial intelligences to be fed at the service of all hospital activities.
- Artificial Intelligence makes it possible improve the reliability of diagnostic capabilities interpretation of images in radiology or pathology, exploitation of biological and genetic results, aggregation of medical records, etc.;
- It helps not only in diagnosis, but also in choice of the most appropriate therapies the patient, or even guide the surgical procedure (see SurgAR project, CHU Clermont Ferrand and TransCUPtomics project, GHICL);
- She allows anticipate the use of hospital capacities : We saw it during the Covid crisis, especially for the critical care sectors;
- Artificial intelligence technologies are also at the heart of the “Digital Twins”, these virtual doubles that allow simulate different scenarios and inform decision making and its impacts;
- AI also contributes to optimize the patient experience in establishments, through chatbots, sensor data processing, and using clustering technologies (study of similarities between individuals to group them) and process mining (use of data to analyze processes in real time).
Like other sectors, such as banking or insurance, artificial intelligence technologies allowautomate tasks arduous tasks such as the verification of an identity document before admission, the coding of medical records before invoicing Health Insurance, the processing of supplier invoices… So many tasks that require a lot of time but are essential for the correct daily functioning of a hospital. Its automation frees up time to remobilize it in the heart of its mission: care.
A national platform to promote and facilitate access to good practices in AI
The ia.anap.fr site lists the projects by category: organization, data management, predictive medicine, diagnostics, patient monitoring, decision making and task automation. At a glance, professionals will be able to visualize for each project, its history, its level of maturity, the number of users that benefit from it and the key success factors identified.
This overview will be regularly supplemented and updated. The goal is to build a shared foundation of successful and inspiring AI initiatives in healthcare settings.
Any professional can contact Anap to present a project and be referenced. After making contact and studying the project by a selection committee, Anap will be able to distribute the solution in question on its platform.
Anap invites each establishment that uses artificial intelligence to make their achievements visible on this platform.
Focus on 4 solutions referenced in the Anap platform
SurgAR, Prof. Nicolas Bourdel University Hospital of Clermont-Ferrand
The objective of the SurgAR project is to allow visualization in augmented reality of the internal structure of the organs during the surgical gesture performed through a minimally invasive approach (use of a camera and small incisions). The organs thus become semi-transparent, the surgeon is really guided in real time.
This solution that combines artificial vision and artificial intelligence is designed to be deployed in operating rooms regardless of the laparoscopic surgery equipment they have. An online version is also available for surgeons to practice using the tool. The entire project team is currently working on obtaining the CE marking.
“Beyond the development of initiatives that combine fundamental and clinical research that can help health professionals, it is interesting to see to what extent these projects in the field of Artificial Intelligence really should also be exported as entities in their own right (startup / spin-off) outside of the hospital and university environment they were born in. So there is also an economic problem, and more generally a problem in terms of how AI can create collaboration between hospitals, public research labs and private structures such as start-ups. »
Professor Nicholas Bourdel
SUOG: Dr. Ferdinand Dmen, AP-HP
This project was born from the verification of a strong need for assistance in pregnancy ultrasound, linked in particular to the difficulties of access to experts and the complexity of possible diagnoses. SUOG’s proposed solution is based on mixed artificial intelligence, a combination of machine learning (for ultrasound image recognition) and ontology-based symbolic reasoning algorithms. The source data comes from 10 expert centers in Europe for the most comprehensive possible coverage of developmental abnormalities listed by Orphanet, the rare disease portal. The prospects for the project are now numerous. Large-scale clinical trials are planned from 2022, and the commercialization of the project should see the light of day by the end of 2023.
“With 130,000 cases of congenital anomalies and approximately 50,000 cases of ectopic pregnancy per year in Europe, the need for effective ultrasound assistance has become critical. The SUOG assistant responds to the problem of access to expert sonographers and allows an improvement of ultrasounds for a better organization of perinatal care. »
Dr. Ferdinand Dmen
know your patientGHICL
The project is hosted by the Group of Hospitals of the Catholic Institute of Lille (GHICL) and responds to a need to speed up the admission of patients and improve their journey within the establishments. The solution is based in particular on the retrieval of banking-specific algorithm models that automate the processing of identity documents, while providing a portal for admission officers.
The specific prospects of the project are based on the continuous development of the third-party pathway (family income), the automatic recognition of the mutual card and the development of the integration of the solution with other publishers of hospital information systems.
TransCUPtomics, Curie Institute
Faced with the difficulties of identifying the tissue origin of certain multimetastatic cancers and when knowledge of the origin of a cancer often serves as the basis for the implementation of an appropriate treatment, the Institut Curie has developed an artificial intelligence solution.
Launched in 2019, this solution, now accessible to pathologists and oncologists, makes it possible to identify the tissue origin of cancers of unknown primary in order to offer targeted treatment to the patient. During the evaluation and validation phases, TransCUPtomics will have made it possible to identify 80% of cancerous tumors.
Discover all the projects referenced on ia.anap.fr