Blockchain Applied To Network Science: Toward Implementing Multilevel Blockchain-Based Network Intervention To Address Health Inequity In Healthcare Delivery System

Blockchain Academic Research Presentation: Research

Authors

  • Dr. Kayo Fujimoto, Distinguished Professor In Social Determinants Of Health, Professor In School Of Public Health, University of Texas Health Science Center, Houston
  • Camden Hallmark, MPH, Data Analyst, Houston Department of Health and Human Services, Texas
  • Beau Mitts, MPH, Bureau Chief of HIV/STD and Viral Hepatitis Prevention, Houston Health Department, Texas
  • Anjum Khurshid, MD, PhD, Director, Data Integration, Co-Chief, Health Information and Data Analytic Sciences, Assistant Professor of Population Health, Affiliate Faculty, Center for Health Communication, Dell Medical School and The University of Texas

DOI:

https://doi.org/10.30953/bhty.v5.224

Keywords:

integrating network science with blockchain, social determinants of health, blockchain in healthcare, medical mistrust, multilevel collaboration, multilevel blockchain network intervention, verifiable credentials, blockchain wallet

Abstract

 

The annual ConV2X is a leading international health tech symposium driving real world evidence, strategy, research, operations and trends to create a blueprint for a new digital health era. The 2021 symposium featured a scientific program of academic/research presentations in addition to business and industry talks. The research track focused on exploring and sharing developments in blockchain and emerging technologies in health and clinical medicine. Submissions were based on original research, conceptual frameworks, proposed applications, position papers, case studies, and real-world implementation. Selection was based on a peer-review process. Faculty, students, and industry researchers were encouraged to submit abstracts to present ideas before an informed and knowledgeable audience of industry leaders, policy makers, funders, and researchers.

This presentation was selected by the scientific review committee.

Submission Review Committee

  • Dave Kochalko, CEO of ARTiFACTS
  • Anjum Khurshid, UT Austin
  • Carlos Caldas, UT Engineering
  • Gil Alterovitz, Harvard Medical School
  • Kayo Fujimoto, UT Health Houston
  • Lei Zhang, University of Glasglow
  • Sean Manion, CSciO of ConsenSys Health
  • Vijayakuman Varadarajan, University of South Wales
  • Vikram Dhillon, Wayne State University
  • Yuichi Ikeda, Kyoto University

 

Downloads

Download data is not yet available.

Downloads

Published

2022-07-01

How to Cite

Fujimoto, Distinguished Professor In Social Determinants Of Health, Professor In School Of Public Health, University of Texas Health Science Center, Houston, D. K. ., Hallmark, MPH, Data Analyst, Houston Department of Health and Human Services, Texas, C. ., Mitts, MPH, Bureau Chief of HIV/STD and Viral Hepatitis Prevention, Houston Health Department, Texas, B. ., & Khurshid, MD, PhD, Director, Data Integration, Co-Chief, Health Information and Data Analytic Sciences, Assistant Professor of Population Health, Affiliate Faculty, Center for Health Communication, Dell Medical School and The University of Texas, A. . (2022). Blockchain Applied To Network Science: Toward Implementing Multilevel Blockchain-Based Network Intervention To Address Health Inequity In Healthcare Delivery System: Blockchain Academic Research Presentation: Research. Blockchain in Healthcare Today, 5(S2). https://doi.org/10.30953/bhty.v5.224

Issue

Volume 5, 2022 - ConV2X Symposium Multimedia Special Issue

Section

Conference Presentations

License

Copyright (c) 2022 Dr. Kayo Fujimoto, Distinguished Professor In Social Determinants Of Health, Professor In School Of Public Health, University of Texas Health Science Center, Houston, Camden Hallmark, MPH, Data Analyst, Houston Department of Health and Human Services, Texas, Beau Mitts, MPH, Bureau Chief of HIV/STD and Viral Hepatitis Prevention, Houston Health Department, Texas, Anjum Khurshid, MD, PhD, Director, Data Integration, Co-Chief, Health Information and Data Analytic Sciences, Assistant Professor of Population Health, Affiliate Faculty, Center for Health Communication, Dell Medical School and The University of Texas

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Authors retain copyright of their work, with first publication rights granted to Blockchain in Healthcare Today (BHTY). Read the full Copyright Statement.