IEEE Healthcare: Blockchain & AI Virtual Series
|OCT 7th INTRO||NOV 4th INDUSTRY||DEC 2nd STANDARDS|
SESSION_3 Medical Devices Standards – December 02, 2020
Purpose: This third of the virtual event series will be discussing areas where Blockchain & AI enabled solutions are driving toward standardization within the field of healthcare.
Note the timing change for this session starts at 8 AM EST (one hour earlier than usual)
Heather Flannery and Gora Datta will open Session #3 (and welcome back) then John Greaves will provide the introduction for the third of this virtual series, with an insight to the emerging area of standards in this knowledge domain.
Michael is the Chairman of International Standards Organization (ISO)/TC215, Health informatics representing the interests and SME resources of sixty-three (63) countries.
Pat brings in his current focus on artificial intelligence in healthcare as Head of Global Software Standards for Philips, building on his publication and presentation of over 50 papers regarding product development.
Hear from a leading Proponent and Regulatory Professional on the relationship between Standards and Regulation, or lack of? Debbie brings her experience from the National Coordinator for Health IT, HHS and systems integration experience from NIH to share the relevant aspects of standards development from the data integration, privacy, and security regulatory arena.
The Dangers of Standards Proliferation | John Greaves, Chair of IEEE Global Standards
John shares his experiences as Collaboration Council, Secretary IEEE P2418.6 Blockchain DLT in Global Health Care, Vice Chair IEEE 2477 BOPS (Blockchain OmniDirectional Pandemic Standard). Chair INCITS Blockchain DLT; Chair ANSI MHI MH10; Convenor ISO SC31 WG8. Proliferation without justification is a betrayal of our responsibility in a post Covid World. Understanding what’s new (and it is a lot!!)
Panel Discussion on Digital Transformation | Silona Bonewald chair @ 11:00AM (60 min)
Panel with Interactive input from attendees and material provided by sponsors. The panel is Michael Glickman, Debbie Bucci, John Greaves and is chaired by Silona Bonewald Executive Director of IEEE OPEN SA. What is impact on Wearables, Medical Devices, Health Care and what role is Blockchain, DLT, 5G, AI, and more going to have in a Standards World. Is / are Standards really ready to transform.
Update on a Teaching Hospital | Dan Conway, University of Arkansas @ 12:00PM (45 min)
A view from the University of Arkansas Blockchain Center of Excellence “What do users expect: Update on Teaching Hospital”
Wrap up from Session #3 and a special preview of the next virtual session coming on Feb 3rd 2021: Ethics, “what’s that got to do with it?” Dr Sean Manion will introduce the topic of ethical application of AI algorithms.
Purpose: This second of the virtual event series will be leveraging the new digital world that the COVID-19 pandemic has necessitated, to discuss Blockchain & AI enabled solutions and their impact on healthcare. Due to this rapidly changing global ecosystem, now is the perfect time to explore new methods of coming together and advancing these technologies as a virtually connected community.
Our digitally curated industry day will feature keynotes, live demonstrations and workshops facilitated by experts applying blockchain and artificial intelligence in relevance to their use with and in enhancing medical devices. This series is aiming to deliver actionable discussions from all aspects of the healthcare industry. Our second session of the virtual series is on November 4th, 2020 from 9AM-1PM EST.
VIRTUAL CONFERENCE AGENDA
Gora Datta will open Session #2 (and welcome back) then Mike McCoy will provide the introduction for the second of this virtual series, with an insight to the industry view for this knowledge domain.
Patient Digital Biomedical Data Files with 3D Topological Mapping of Macroanatomy and Microanatomy for Use in Big Data and Augmented Intelligence Systems
With the rise of COVID-19, the need for real-time drug supply chain assurance has never been more pressing. Combined with commercial off-the-shelf technologies, blockchain can track and trace drug custody securely and in real time, ensuring that therapeutics, test kits, and vaccines are successfully handled and administered. Working with UCLA Health as part of a US FDA pilot project program, LedgerDomain has built and deployed a last-mile blockchain-driven solution used by real caregivers for real-time drug verification and delivery. In this talk, Ben Taylor will share insights from the team’s peer-reviewed study and discuss the path forward for the healthcare landscape.
Blockchain based solutions are not the future: they are happening today. This session will go through the first use cases in production in the Life Science industry and what capabilities this enables that were not possible before with standard technologies. From this, we will review what the future holds for how companies will do business together and how the management of data and transactions between companies will bring new business models for medical devices and beyond.
Will enable real time interactive Q&A
Will enable real time interactive Q&A
Will enable real time interactive Q&A
Jim St. Clair will formally close out Session #2 after John Greaves provides a short teaser for Session #3 on Standards, coming up Dec 2nd
Purpose: The kickoff meeting will provide an introduction to the virtual series and orient the broad audience on the topic as well as the structure and timeline of other events. Track chairs will give in-depth overviews of each area of the topic and provide a framework for those who wish to engage these topics in the future. A call for papers will be announced along with related future events and topics. We hope you enjoy this exciting and timely new initiative!
Introduction to the virtual series, genesis of this new directions, highlights and timeline of the course of the series
Blockchain & AI for Healthcare overview, brief intro of the technologies for health, discussion of convergence, and focus on the power of these combined applications
José Arrieta is the former U.S. Health and Human Services Chief Information Officer and acting Chief Data Officer. He delivered the first live enterprise application of blockchain combined with AI in the U.S. federal government, and has been one of the most recognized leaders (in both vision and action) in recent years for emerging technology applied to healthcare. In this session he’ll shift his focus to the potential global impact that this brings to the field.
Holistic look at blockchain and AI applications for medical devices and related research, insights into what is possible now and in the near future, introduction to the tracks
ANSWERING OF PREVIOUS SEGMENT’S Q&A @ 10:10 AM (15 min.) |
A look at the management and continuous integration of heterogeneous biomedical data, including aspects of trust, identity, privacy, protection, safety, ethics, quality, sharing, transparency, data assets, permission, consent and more
The dominant characteristic of our current healthcare industry is its compartmentalized, disintegrated business model; one manifestation of which is the accretion of massive volumes of data from disparate sources that must be harmonized at great effort in order to be of use for analytic modeling and augmented decision support. Healthcare, wellness, and society in many ways have become victims of the very information created to serve them in this domain. In a medical system where consumer trust, practitioner burnout, and generalized (average) and intuitive care protocols dominate, the future of a functional model that provides access to personalized interactions and outcomes is most directly confronted by the challenge of curating and acting on relevant data, in-the-moment.
Our thesis is that there are three dimensions of managing actionable information that when symbiotically networked together, form the fulcrum from which to pivot all advancements on behalf of a healthier society.
- Integration and Interoperability
- Access and Use
- Trust and Value
IEEE Standards Conference Track Objective:
Our track will explore how the family of technologies collectively referred to as Blockchain compliments the evolving IoT apparatus and in many ways, extends the ability to efficiently and effectively train federated learning models, feed AI engines in real-time, and contextualize the experience of care – where, when, how the consumer prefers and with trusted durability.
A look at the critical aspects of automated process governing across these systems which capture the intent, requirements and coordination across all stakeholders from patients to industry
To explore the governance challenges of ecosystems deploying blockchain and AI, this track will explore the role of governance in successful partnerships. Defined generously by Wiki as “The term for the way a group of people such as a country [or healthcare providers] do things,” governance includes a number of open-ended concerns. Just what are the challenges for healthcare providers that need new, governance-enabled collaborative models? Here are a just a few:
- What is the difference between on chain and off chain governance, and how do these differences affect health use cases?
- How can blockchain and AI manage disputes for invoice reconciliation for medical supplies?
- Who bears the HIPPA compliance risk? All entities in a blockchain/AI ecosystem?
- How do countries agree on basic business rules and logic?
- Do the differences in regulations affect blockchain and AI adoption, such as GDPR and
- FDA? Or between states?
- How much does a blockchain/AI healthcare ecosystem rely on up and downstream
- partners with their own innovation risks?
- How do healthcare ecosystems interoperate with other types of blockchain/AI ecosystems? What are the governance “rules of the road?”
- How do partners in a blockchain/AI ecosystem use governance to ensure data security?
- By digging into the critical governance challenges of blockchain/AI, this track will unpack questions to consider in using this new technology for healthcare.
A look at medical devices cybersecurity, authentication, life cycle management, monitoring and more.
It is critical that the design manufacturing operation of medical devices that doctors and patients rely on operate as intended which sometimes require long validation and approval cycles. Once approved, it is also challenging to ensure that components are manufactured and tested according to specs.
How can emerging technologies like DLTs and AI be leveraged to address some of these challenges? For instance, can the use of blockchain enhance the supply chain robustness by adding an easier traceability and transparency mechanism? Is it possible to reduce the approval process of a medical device using these technologies?
Another aspect is the trusted and reliable connection and operation of the device. Can these technologies be leveraged to mitigate cybersecurity risks?
In this track we will explore topics like:
- Devices design
- Devices testing
- Device manufacturing
- supply chain
- post-market compliance
Our track will explore how emerging technologies like DLT and AI can enable new and innovative ways to address some of the challenges in the medical devices space but also potentially create new challenges and risks.
A look at real world applications of internet of medical things (Non-regulated, 510k, PMA devices; Prescribed vs. Over-The-Counter; Clinical Use vs. Remote Use; Clinical Trials Support: Imaging; Genomics; Physiologic) and EHR Interoperability
The use of wearable devices in healthcare ranging from smart watches to smart glasses will impact disease prevention, detection and influencing precautionary measures. Advances in modern technologies, such as, Internet of Medical Things, 5G, Blockchain and Artificial Intelligence have played a role in ensuring the viability of healthcare wearables. However, several challenges related to security and privacy need to be resolved for fully maximizing the use of these wearable devices.
- IoMT security and privacy
- Pharma Blockchain
- IoMT and Clinical Trials
- Applications of wearable biosensors, activity trackers, and mobile apps
- Integrating wearable devices with connected devices
- Analyzing roles in the data collection and patient journey.
- Connected devices impacts on clinical trial design
- Novel ways to collect data, transform and streamline clinical operations and improve the patient experience
A focus on the related standards and development process relating to blockchain and AI in healthcare and the harmonization of the same.
Call for Papers/Next Steps – Sean Manion and Erika Beerbower @ 12:15PM (15min)
An announcement of the call for papers on the topic of blockchain and AI for medical devices, an overview of the timeline and process, and a look ahead to the January 2021 forum for presentation and publication of the proceedings.
A look forward to future topics for this series beyond medical devices including healthcare supply chain, database valuation and exchange, regulatory considerations, federated learning, 5G and future infrastructure, and more…