Using AI and ML to adapt Blockchain technology to Healthcare Systems (Presented at DL Indaba)

Introduction

- Healthcare industry is under extreme pressure both to regulate costs and

provide high quality service to patients.

- AI and ML have already been adopted in monitoring health and diseases.

- Blockchain is said to be the technology to disrupt the Electronic Healthcare

System (EHS) and bring better health evaluation.

Objectives

1. Define Healthcare blockchain and its importance.

2. Outline the challenges healthcare blockchain faces.

3. Propose a healthcare blockchain process that solves some of the outline

challenges.

Distributed ledger network

- Entire task is completed using a Smart Contract

Importances of healthcare blockchain

Keep true health records of patient which they can access easily.

Provide large trustworthy data for research and decision taking by insurance companies, hospitals and government.

Challenges of healthcare blockchain

- Personally identifiable information of individuals shared to all.

- Protected health information spread in the ledgers.

- Inability to get everyone to validate the new block (health record of a

patient).

- Scalibility of Blockchain

Proposed healthcare blockchain structure

Blockchain process for creation of new block and visualization model

Consensus: Proof of AI

- PoAI (Proof of Artificial Intelligence) consensus; using a developed AI

algorithm to choose a super node, and cause every other node to validate

the block after patient node validates.

- Preferred super node is the HMS where the patient registered.

- Patient and HMS each are 1/3 validators and the remaining nodes in the

network are all together 1/3.

-This validation value is assigned by AI algorithm as the creation of a block

process begins.

-This is a combination of PoP, PoO, PoI and PoP.

Information Visualization Model

Visualization Model representation with single node interactions

Conclusion

- This proposed model solves the following challenges mentioned above:

. Visualization of health records

. Consensus by fewer group of nodes

. Privacy and data security

- Much studies still carried out on AI algorithms that can adapt blockchain

technology to healthcare.

References

- Tendermint: Consensus without mining, Jae Kwon, 2014

- Artificial Intelligence for Health and Health Care, Dolores Derrington, 2017

- Medicalchain Whitepaper 2.1, 2018

To download poster version click here.