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Performance Analysis of Scalable Electronic Health Records

 

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Performance Analysis of SCALABLE ELECTRONIC HEALTH RECORDS MANAGEMENT

Implementation plan:
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Step 1: Initially, we register Patients, Doctors and an Administrator roles into the blockchain network.

Step 2: Then, we perform the User Authentication Process.

Step 3: Next, we store the Patient Data into the IPFS and their hashed data into the blockchain.

Step 4: Next, we implement Smart contracts for Creating, Retrieving and Updating records.

Step 5: Then, we implement the Encryption process of the Stored Electronic Health Records (EHR) Data.

Step 6: Next, we perform Data transactions between the Doctors and Patients.

Step 7: Finally, we plot performance for the following metrics:

7.1: Number of Users vs Throughput (Kbps).

7.2: Number of Users vs Latency (ms).

7.3: Number of Transactions vs Execution Time (ms).

Software Requirement:
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1. Development Tool: Python – 3.11.4 or above with Ganache and Solidity

2. Operating System: Windows 10 (64-bit)

Note:
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1) If the above plan does not satisfy your requirement, please provide the processing details, like the above step-by-step.

2) Please note that this implementation plan does not include any further steps after it is put into implementation.

3) If the above plan satisfies your requirement please confirm with us.

4) We develop simulation based projects only, not in real time.

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