Overview of Library & Systematic Review (LASYR) Infrastructure for Blockchain and Emerging Technologies project at IEEE Healthcare: Blockchain & AI event - 07 April 2021

1. Library & Systematic
Review (LASYR)
Infrastructure for
Blockchain and
Emerging
Technologies: Project
Overview
Sean Manion, PhD
IEEE Healthcare: Blockchain & AI Virtual Series
Education Event – 07 April 2020

2. What is LASYR Infrastructure for
Blockchain & Emerging Technologies?
• A curated library of blockchain and healthcare literature to tentatively be
hosted by Dell Medical School at University of Texas at Austin
– Peer-reviewed literature
– Gray literature
– Select lay literature
• A weighted, crowd-sourced, rapidly-auditable infrastructure for systematic
reviews
• A process that can be translated to other areas of research for more rapid
knowledge translation
– Consolidated evidence for new research approaches (e.g. Decentralized clinical
trials)
– Accelerated knowledge translation in specific medical research areas (e.g. traumatic
brain injury) including gray and pre-print literature

3. Why are we doing this?
• 20k or more unique, indexed peer-reviewed and
gray literature artifacts for “blockchain &
healthcare”
• Unknown quantity of unindexed gray literature
and potentially valuable lay literature on the
subject
• Estimated less than 10% of the relevant
literature is peer-reviewed; largely industry driven
R&D in parallel with implementation
• Government, academia, and industry struggling
to assess; risk to fall behind, fail to weed out bias
and bad science
• High volume diffuse literature artifacts
outstripping legacy checks and balances; this
trend seems likely to continue as emerging tech
(e.g. machine learning) is applied to medical
research
“Blockchain &
healthcare”
Search
All Time
Results
(approx through
mid - 2020)
Google Scholar 19600
Dimensions 10819
Science Direct 774
PMC 374
arXiv 40
Other 88

4. How will the LASYR Infrastructure
be developed?
1. Create & curate indexed library
• Broad search approach
• Curation strategy based on expert input
• Indexed system with ARTiFACTS tech
2. Develop & test systematic review
infrastructure
• Conduct traditional systematic review
• Align architecture of crowd-sourced infrastructure
• Develop infrastructure with ConsenSys Health tech; test
against traditional systematic review
3. Explore other areas for use
• Identify other areas of application with willing communities
of interest
• Modify process as needed and repeat
Other Considerations
• Can prospective library be
developed with expanded,
distributed network?
• Can machine learning be applied to
speed curation and/or review
process
• What criteria to look for in other
areas of application (e.g. data
standardization, potential impact,
communities of interest)

5. What is next?
• Dell Medical School with ARTiFACTS, and ConsenSys Health applying
for funding to complete initial phases by 2023; additional funding will
be needed, and later phases can be run partially in parallel
• Subject matter expert volunteers and value-added partners welcomed;
please contact us with interest and value description
– Dave Kochalko – dkochalko@artifacts.ai
– Sean Manion – sean.manion@consensyshealth.com
• Panel on “Building a Blockchain & Healthcare Library”

6. Panel: Building a
blockchain &
healthcare library
Dave Kochalko – ARTiFACTS (dkochalko@artifacts.ai)
Anjum Khurshid, MD, PhD – Dell Medical School
Erika Beerbower, PharmD – Subject Matter Expert
Sean Manion, PhD – ConsenSys Health
(sean.manion@consensyshealth.com)