The landscape of Artificial Intelligence (AI) future applications in Health appears very promising, providing useful and time-saving tools for practitioners and clinicians in their daily medical activities. AI can in fact work as a “second pair of eyes” and an “additional brain” in a myriad of activities ranging from medical image interpretation to decision support; it can represent a knowledge resource to face the exponentially increasing amount of biomedical knowledge; it can help organize and facilitate the care coordination of chronic and complex diseases in many of the patients especially as they have more relevant data from disparate sources such as genomic sequencing and wearable technology; and AI can be used to verify the publication of biomedical research.
Moreover, AI applications can be combined with high-level security measures for generating new, privacy-preserving data, such in the case of the so-called “synthetic data”.
Following the discussion inaugurated at P13 on “Data sharing challenges in biomedical Artificial Intelligence (AI)” this session aims at presenting AI opportunities and challenges.
The first presentation will discuss AI in medicine by presenting specific use cases coming from some selected experiences in famous Hospitals and Clinical Centres, such as Ospedale Pediatrico Bambino Gesù (OPBG), Queen Mary University of London (QMUL), Artificial Intelligence in Medicine and Healthcare (AIMed). A second use case will present using AI as a pre-peer reviewer of biomedical publications. The session also aims at moving a step forward by discussing the future possibilities of applying innovative solutions, such as synthetic data, in these realities.
Collaborative session notes: https://docs.google.com/document/d/1_bZycbthDmATn24iKaV-atMTiBW0rIxiFceIxfyMvc8/edit?usp=sharing
- Brief introduction to the HDIG
- Guests Presentation on Hospitals'experiences on AI applications in Health and data sharing
- Q&A and discussion of topics presented
- Next steps
For this open session, we invite Policymakers for Healthcare; Clinicians wanting to use data technology to improve their practice; Biomedical researchers using data-driven analytical techniques in their research life-cycle; Healthcare Data Scientists dealing with data mining, machine learning, physiological modelling and image processing technologies and the data these produce; Health bioinformatics legal experts; Healthcare and Health Maintenance Organisation administrators; Pharmaceutical industry researchers and manufacturers; Medical equipment researchers and manufacturers, in silico modelling, testing and clinical trial experts; and, participants form other related WG/IG.
The Health Data Interest Group (HDIG) was officially instituted in 2016 following successful BoF Sessions during the 6th RDA Plenary Meeting in Paris and the 7th RDA Plenary Meeting in Tokyo. It is now a mature RDA component, actively involved in the 8th RDA Plenary Meeting in Denver with a session titled “Health Data Privacy & Security issues”, at P9 in Barcelona with a session focused on “Meaningful health data for research and for industry” at P10 in Montreal with a session on “Health data mapping and diverging trends in health data protection”, at P11 in Berlin on “First results on RDA Adoption and Training Guide for Reproducible Data Service Workflows and diverging trends in Health data protection” and at P12 in Gaborone, Botswana, where the topic of “genomic data in the light of privacy rules” was addressed.
All sessions were attended by several researchers and professionals from diverse backgrounds, who discussed a number of relevant issues as the Health Data IG is the only RDA group focusing on the intricacies of Health Data, especially as it relates to privacy and security issues in Healthcare but not only.
In fact, the Health Data IG sessions are becoming a moment where new topics which are gaining rising interest for scientific research communities – such as the entry into force in May 2018 of the EU General Data Protection Regulation (GDPR) or Artificial Intelligence applied to Health – can be debated within a wider and competent audience and with a worldwide perspective.
As a result, two working groups (WG) spread from the HDIG, one on “Blockchain Applications in Health”, and another one on “Reproducible Health Data Services”, both endorsed by the RDA.
Following the topic addressed in the last P13 meeting in Philadelphia the next P14 will be the occasion for HDIG members to discuss more in detail and on a use-case basis the theme of “Hospitals’ experiences towards a large-scale data sharing ecosystem for AI”.
Recognised & endorsed.
The Health Data Interest Group (HDIG) was officially instituted in 2016.