The LASYR project aims to create a curated library for blockchain and healthcare literature, which will include both peer-reviewed and gray literature to support systematic reviews and knowledge translation in medical research. The initiative seeks to address the overwhelming amount of unindexed literature and ensure comprehensive assessments are made by government, academia, and industry. Future steps involve developing this infrastructure with funding and collaboration from various stakeholders, with the goal of enhancing research methodologies in blockchain and healthcare.

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)