Literature DB >> 30047789

How to Use Blockchain for Diabetes Health Care Data and Access Management: An Operational Concept.

Simon Lebech Cichosz1, Mads Nibe Stausholm1, Thomas Kronborg1, Peter Vestergaard2,3,4, Ole Hejlesen1.   

Abstract

INTRODUCTION: Patients with diabetes often generate large amounts of data specifically related to the disease and to their general health. Cross-institutional sharing of patient health care data is complex, and as a consequence, data are not always available to the health care provider treating the patient. Accommodating this challenge could lead to better clinical effectiveness and improve clinical research. This work aims to present an approach for a blockchain-based platform for sharing health care data. The approach considers privacy concerns, data sharing, and patients as the center for governing their own data.
METHODS: The concept of this blockchain-based platform consists of using the NEM multi-signature blockchain contracts for access control of data management and the sharing and encryption of data to allow privacy and control of health care data. The architecture is built around cryptography, tokens, and multi-signature contracts. The multi-signature contract enables several entities to administrate the activity of an account and control the assets of one account. Multi-signature generates a contract that assigns the rights and powers of a certain account to other accounts; this contract can be edited to allow or remove entities. DISCUSSION: Using blockchain could lead to improvements in diabetes data management. In the coming years, this technology should be implemented in existing small-scale diabetes health care system to explore its real-world benefits and challenges.
CONCLUSION: This new approach could potentially lead to more efficient sharing of data between institutions and utilization of new types of data and research possibilities.

Entities:  

Keywords:  access management; blockchain; diabetes; health care

Mesh:

Year:  2018        PMID: 30047789      PMCID: PMC6399803          DOI: 10.1177/1932296818790281

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  5 in total

1.  The value of health care information exchange and interoperability.

Authors:  Jan Walker; Eric Pan; Douglas Johnston; Julia Adler-Milstein; David W Bates; Blackford Middleton
Journal:  Health Aff (Millwood)       Date:  2005 Jan-Jun       Impact factor: 6.301

2.  Assessment of postprandial glucose excursions throughout the day in newly diagnosed type 2 diabetes.

Authors:  Simon Lebech Cichosz; Jesper Fleischer; Pernille Hoeyem; Esben Laugesen; Per Loegstrup Poulsen; Jens Sandahl Christiansen; Niels Ejskjaer; Troels Krarup Hansen
Journal:  Diabetes Technol Ther       Date:  2012-11-23       Impact factor: 6.118

3.  Objective measurements of activity patterns in people with newly diagnosed Type 2 diabetes demonstrate a sedentary lifestyle.

Authors:  S L Cichosz; J Fleischer; P Hoeyem; E Laugesen; P L Poulsen; J S Christiansen; N Ejskjær; T K Hansen
Journal:  Diabet Med       Date:  2013-04-20       Impact factor: 4.359

Review 4.  Toward Big Data Analytics: Review of Predictive Models in Management of Diabetes and Its Complications.

Authors:  Simon Lebech Cichosz; Mette Dencker Johansen; Ole Hejlesen
Journal:  J Diabetes Sci Technol       Date:  2015-10-14

5.  Patient-controlled sharing of medical imaging data across unaffiliated healthcare organizations.

Authors:  Yaorong Ge; David K Ahn; Bhagyashree Unde; H Donald Gage; J Jeffrey Carr
Journal:  J Am Med Inform Assoc       Date:  2012-08-11       Impact factor: 4.497

  5 in total
  12 in total

Review 1.  Could Blockchain Technology Empower Patients, Improve Education, and Boost Research in Radiology Departments? An Open Question for Future Applications.

Authors:  Francesco Verde; Arnaldo Stanzione; Valeria Romeo; Renato Cuocolo; Simone Maurea; Arturo Brunetti
Journal:  J Digit Imaging       Date:  2019-12       Impact factor: 4.056

2.  Could Blockchain Help With COVID-19 Crisis?

Authors:  Mohamad Hassan Kassab; Valdemar Vicente Graciano Neto; Giuseppe Destefanis; Tarek Malas
Journal:  IT Prof       Date:  2021-08-19       Impact factor: 2.626

3.  The Current State of Research, Challenges, and Future Research Directions of Blockchain Technology in Patient Care: Systematic Review.

Authors:  Polina Durneva; Karlene Cousins; Min Chen
Journal:  J Med Internet Res       Date:  2020-07-20       Impact factor: 5.428

Review 4.  Blockchain Applications in the Biomedical Domain: A Scoping Review.

Authors:  George Drosatos; Eleni Kaldoudi
Journal:  Comput Struct Biotechnol J       Date:  2019-02-08       Impact factor: 7.271

Review 5.  Blockchain Technology in Healthcare: A Systematic Review.

Authors:  Cornelius C Agbo; Qusay H Mahmoud; J Mikael Eklund
Journal:  Healthcare (Basel)       Date:  2019-04-04

6.  Benefits of Blockchain Initiatives for Value-Based Care: Proposed Framework.

Authors:  Rongen Zhang; Amrita George; Jongwoo Kim; Veneetia Johnson; Balasubramaniam Ramesh
Journal:  J Med Internet Res       Date:  2019-09-27       Impact factor: 5.428

7.  Merging RFID and Blockchain Technologies to Accelerate Big Data Medical Research Based on Physiological Signals.

Authors:  Xiuqing Chen; Hong Zhu; Deqin Geng; Wei Liu; Rui Yang; Shoudao Li
Journal:  J Healthc Eng       Date:  2020-04-14       Impact factor: 2.682

8.  Lightweight Proof of Game (LPoG): A Proof of Work (PoW)'s Extended Lightweight Consensus Algorithm for Wearable Kidneys.

Authors:  Adarsh Kumar; Deepak Kumar Sharma; Anand Nayyar; Saurabh Singh; Byungun Yoon
Journal:  Sensors (Basel)       Date:  2020-05-19       Impact factor: 3.576

9.  Mapping, Infrastructure, and Data Analysis for the Brazilian Network of Rare Diseases: Protocol for the RARASnet Observational Cohort Study.

Authors:  Domingos Alves; Diego Bettiol Yamada; Filipe Andrade Bernardi; Isabelle Carvalho; Márcio Eloi Colombo Filho; Mariane Barros Neiva; Vinícius Costa Lima; Têmis Maria Félix
Journal:  JMIR Res Protoc       Date:  2021-01-22

10.  Blockchain-Enabled iWellChain Framework Integration With the National Medical Referral System: Development and Usability Study.

Authors:  Yu-Sheng Lo; Cheng-Yi Yang; Hsiung-Fei Chien; Shy-Shin Chang; Chung-Ying Lu; Ray-Jade Chen
Journal:  J Med Internet Res       Date:  2019-12-04       Impact factor: 5.428

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.