AIoT and Big Data Analytics for Smart Healthcare Applications by Rao Shreyas Suresh;Fernandes Steven Lawrence;Singh Chandra;

Author:Rao, Shreyas Suresh;Fernandes, Steven Lawrence;Singh, Chandra;
Language: eng
Format: epub
Publisher: Bentham Science Publishers
Published: 2023-12-29T00:00:00+00:00

Fig. (2))

Age-wise and District-wise distribution of data collection.

3.1. Data Processing

Blockchain concepts implementation in healthcare can be divided into four sections they are s shown in Fig. (3).

1. Data Collection. 2. Data Pre-processing for the enrichment of data. 3. Using the blockchain to store medical records. 4. Smart contracts and Data Consumption.

Fig. (3))

Healthcare data representation in blockchain.

3.2. Data Collection

The patient data is multimedia data having text, image, audio, video and graph components:

1. The source, purpose and scope of primary patient data gathered have to be understood before storing the data in the blockchain.

2. Data is also collected at every stage of medical care, including consultation, diagnosis, surgery, and intervention, all of which are highly sensitive and critical in terms of security.

3. Medical data comprises prescriptions from doctors, X-rays, MRI scans, ultrasound reports, angiography, radiography, and endoscopy, among other things.

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