Proof of disease: A blockchain consensus protocol for accurate medical decisions and reducing the disease burden

Asoke K. Talukder, Manish Chaitanya, David Arnold, Kouichi Sakurai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Studies suggest that a significant proportion of the diagnosis in non-communicable diseases (NCD) is erroneous, unwanted, or unnecessary. To reduce the disease burden and improve public health, algorithmic support is essential. To realize this, health data must be computer understandable, secured, ubiquitous, and interoperable. Medical and disease data entered into computers are unstructured natural language texts with medical jargons which a computer normally cannot understand. EMR (Electronic Medical Records) are data silos in the hospital and do not interoperate. In this paper we present Ethereum based future ready Proof of Disease (PoD) consensus protocol with a computer understandable single instance of truth. It will solve many challenges that electronic health records (EHR) or health information exchange (HIE) have failed to address. This medical system will help achieve all the complex needs of P6 (Participatory, Personalized, Proactive, Preventive, Predictive and Precision) medicine and finally reduce the disease burden.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018
EditorsFrederic Loulergue, Guojun Wang, Md Zakirul Alam Bhuiyan, Xiaoxing Ma, Peng Li, Manuel Roveri, Qi Han, Lei Chen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages257-262
Number of pages6
ISBN (Electronic)9781538693803
DOIs
Publication statusPublished - Dec 4 2018
Event4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018 - Guangzhou, China
Duration: Oct 7 2018Oct 11 2018

Publication series

NameProceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018

Other

Other4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018
CountryChina
CityGuangzhou
Period10/7/1810/11/18

Fingerprint

Health
Electronic medical equipment
Public health
Medicine
Burden
Electronic medical record
Language
Proportion
Electronic health record
Health information
Information exchange

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence

Cite this

Talukder, A. K., Chaitanya, M., Arnold, D., & Sakurai, K. (2018). Proof of disease: A blockchain consensus protocol for accurate medical decisions and reducing the disease burden. In F. Loulergue, G. Wang, M. Z. A. Bhuiyan, X. Ma, P. Li, M. Roveri, Q. Han, ... L. Chen (Eds.), Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018 (pp. 257-262). [8560057] (Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SmartWorld.2018.00079

Proof of disease : A blockchain consensus protocol for accurate medical decisions and reducing the disease burden. / Talukder, Asoke K.; Chaitanya, Manish; Arnold, David; Sakurai, Kouichi.

Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018. ed. / Frederic Loulergue; Guojun Wang; Md Zakirul Alam Bhuiyan; Xiaoxing Ma; Peng Li; Manuel Roveri; Qi Han; Lei Chen. Institute of Electrical and Electronics Engineers Inc., 2018. p. 257-262 8560057 (Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Talukder, AK, Chaitanya, M, Arnold, D & Sakurai, K 2018, Proof of disease: A blockchain consensus protocol for accurate medical decisions and reducing the disease burden. in F Loulergue, G Wang, MZA Bhuiyan, X Ma, P Li, M Roveri, Q Han & L Chen (eds), Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018., 8560057, Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018, Institute of Electrical and Electronics Engineers Inc., pp. 257-262, 4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018, Guangzhou, China, 10/7/18. https://doi.org/10.1109/SmartWorld.2018.00079
Talukder AK, Chaitanya M, Arnold D, Sakurai K. Proof of disease: A blockchain consensus protocol for accurate medical decisions and reducing the disease burden. In Loulergue F, Wang G, Bhuiyan MZA, Ma X, Li P, Roveri M, Han Q, Chen L, editors, Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 257-262. 8560057. (Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018). https://doi.org/10.1109/SmartWorld.2018.00079
Talukder, Asoke K. ; Chaitanya, Manish ; Arnold, David ; Sakurai, Kouichi. / Proof of disease : A blockchain consensus protocol for accurate medical decisions and reducing the disease burden. Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018. editor / Frederic Loulergue ; Guojun Wang ; Md Zakirul Alam Bhuiyan ; Xiaoxing Ma ; Peng Li ; Manuel Roveri ; Qi Han ; Lei Chen. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 257-262 (Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018).
@inproceedings{b56e68bb074a44679afca8fb18e2b4cd,
title = "Proof of disease: A blockchain consensus protocol for accurate medical decisions and reducing the disease burden",
abstract = "Studies suggest that a significant proportion of the diagnosis in non-communicable diseases (NCD) is erroneous, unwanted, or unnecessary. To reduce the disease burden and improve public health, algorithmic support is essential. To realize this, health data must be computer understandable, secured, ubiquitous, and interoperable. Medical and disease data entered into computers are unstructured natural language texts with medical jargons which a computer normally cannot understand. EMR (Electronic Medical Records) are data silos in the hospital and do not interoperate. In this paper we present Ethereum based future ready Proof of Disease (PoD) consensus protocol with a computer understandable single instance of truth. It will solve many challenges that electronic health records (EHR) or health information exchange (HIE) have failed to address. This medical system will help achieve all the complex needs of P6 (Participatory, Personalized, Proactive, Preventive, Predictive and Precision) medicine and finally reduce the disease burden.",
author = "Talukder, {Asoke K.} and Manish Chaitanya and David Arnold and Kouichi Sakurai",
year = "2018",
month = "12",
day = "4",
doi = "10.1109/SmartWorld.2018.00079",
language = "English",
series = "Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "257--262",
editor = "Frederic Loulergue and Guojun Wang and Bhuiyan, {Md Zakirul Alam} and Xiaoxing Ma and Peng Li and Manuel Roveri and Qi Han and Lei Chen",
booktitle = "Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018",
address = "United States",

}

TY - GEN

T1 - Proof of disease

T2 - A blockchain consensus protocol for accurate medical decisions and reducing the disease burden

AU - Talukder, Asoke K.

AU - Chaitanya, Manish

AU - Arnold, David

AU - Sakurai, Kouichi

PY - 2018/12/4

Y1 - 2018/12/4

N2 - Studies suggest that a significant proportion of the diagnosis in non-communicable diseases (NCD) is erroneous, unwanted, or unnecessary. To reduce the disease burden and improve public health, algorithmic support is essential. To realize this, health data must be computer understandable, secured, ubiquitous, and interoperable. Medical and disease data entered into computers are unstructured natural language texts with medical jargons which a computer normally cannot understand. EMR (Electronic Medical Records) are data silos in the hospital and do not interoperate. In this paper we present Ethereum based future ready Proof of Disease (PoD) consensus protocol with a computer understandable single instance of truth. It will solve many challenges that electronic health records (EHR) or health information exchange (HIE) have failed to address. This medical system will help achieve all the complex needs of P6 (Participatory, Personalized, Proactive, Preventive, Predictive and Precision) medicine and finally reduce the disease burden.

AB - Studies suggest that a significant proportion of the diagnosis in non-communicable diseases (NCD) is erroneous, unwanted, or unnecessary. To reduce the disease burden and improve public health, algorithmic support is essential. To realize this, health data must be computer understandable, secured, ubiquitous, and interoperable. Medical and disease data entered into computers are unstructured natural language texts with medical jargons which a computer normally cannot understand. EMR (Electronic Medical Records) are data silos in the hospital and do not interoperate. In this paper we present Ethereum based future ready Proof of Disease (PoD) consensus protocol with a computer understandable single instance of truth. It will solve many challenges that electronic health records (EHR) or health information exchange (HIE) have failed to address. This medical system will help achieve all the complex needs of P6 (Participatory, Personalized, Proactive, Preventive, Predictive and Precision) medicine and finally reduce the disease burden.

UR - http://www.scopus.com/inward/record.url?scp=85060275350&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85060275350&partnerID=8YFLogxK

U2 - 10.1109/SmartWorld.2018.00079

DO - 10.1109/SmartWorld.2018.00079

M3 - Conference contribution

AN - SCOPUS:85060275350

T3 - Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018

SP - 257

EP - 262

BT - Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018

A2 - Loulergue, Frederic

A2 - Wang, Guojun

A2 - Bhuiyan, Md Zakirul Alam

A2 - Ma, Xiaoxing

A2 - Li, Peng

A2 - Roveri, Manuel

A2 - Han, Qi

A2 - Chen, Lei

PB - Institute of Electrical and Electronics Engineers Inc.

ER -